"weekly"に関するスクリプトを検索
15// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © CandelaCharts
//@version=6
indicator("CandelaCharts - Liquidity Key Zones (LKZ)", shorttitle = "CandelaCharts - Liquidity Key Zones (LKZ)", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 500, max_polylines_count = 100)
// # ========================================================================= #
// # | Colors |
// # ========================================================================= #
//#region
// # Core -------------------------------------------------------------------- #
colors_orange = color.orange
colors_blue = color.blue
colors_aqua = color.aqua
colors_red = color.red
colors_green = color.green
colors_maroon = color.maroon
colors_purple = color.purple
colors_gray = color.gray
colors_transparent = color.new(color.white,100)
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Inputs |
// # ========================================================================= #
//#region
// # General ----------------------------------------------------------------- #
general_font = input.string("Monospace", "Text ", options = , inline = "5", group = "General")
general_text = input.string("Tiny", "", options = , inline = "5", group = "General", tooltip = "Customize global text size and style")
general_brand_show = input.bool(false, "Hide Brand", group = "General")
// # LKZ --------------------------------------------------------------------- #
hl_daily = input.bool(true, "Day ", inline = "1", group = "HTF Levels")
hl_weekly = input.bool(false, "Week ", inline = "2", group = "HTF Levels")
hl_monthly = input.bool(false, "Month ", inline = "3", group = "HTF Levels")
hl_quartely = input.bool(false, "Quarter ", inline = "4", group = "HTF Levels")
hl_yearly = input.bool(false, "Year ", inline = "5", group = "HTF Levels")
hl_css_daily = input.color(colors_blue, "", inline = "1", group = "HTF Levels")
hl_css_weekly = input.color(colors_green, "", inline = "2", group = "HTF Levels")
hl_css_monthly = input.color(colors_purple, "", inline = "3", group = "HTF Levels")
hl_css_quaterly = input.color(colors_maroon, "", inline = "4", group = "HTF Levels")
hl_css_yearly = input.color(colors_gray, "", inline = "5", group = "HTF Levels")
hl_line_daily = input.string('⎯⎯⎯', '', inline = '1', group = "HTF Levels", options = )
hl_line_weekly = input.string('⎯⎯⎯', '', inline = '2', group = "HTF Levels", options = )
hl_line_monthly = input.string('⎯⎯⎯', '', inline = '3', group = "HTF Levels", options = )
hl_line_quaterly = input.string('⎯⎯⎯', '', inline = '4', group = "HTF Levels", options = )
hl_line_yearly = input.string('⎯⎯⎯', '', inline = '5', group = "HTF Levels", options = )
hl_line_width_daily = input.int(1, '', inline = '1', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_weekly = input.int(1, '', inline = '2', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_monthly = input.int(1, '', inline = '3', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_quaterly = input.int(1, '', inline = '4', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_yearly = input.int(1, '', inline = '5', group = "HTF Levels", minval = 1, maxval = 5)
hl_midline = input.bool(true, "Show Average ", inline = "6" , group = "HTF Levels")
hl_midline_css = input.color(colors_aqua, "", inline = "6", group = "HTF Levels")
hl_midline_type = input.string("----", "", inline = "6", group = "HTF Levels", options = , tooltip = "Show highs & lows mid-line")
hl_midline_width = input.int(1, "", inline = "6", group = "HTF Levels", tooltip = "Change mid-line highs & lows width")
hl_openline = input.bool(true, "Show Open ", inline = "7" , group = "HTF Levels")
hl_openline_css = input.color(colors_orange, "", inline = "7", group = "HTF Levels")
hl_openline_type = input.string("····", "", inline = "7", group = "HTF Levels", options = , tooltip = "Show highs & lows mid-line")
hl_openline_width = input.int(1, "", inline = "7", group = "HTF Levels", tooltip = "Change mid-line highs & lows width")
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | UDTs |
// # ========================================================================= #
//#region
type UDT_Store
line hl_ln
label hl_lbl
type UDT_MTF
int x1 = na
int x2 = na
float y1 = na
float y2 = na
type UDT_HTF_Candle
string tf
// real coordinates of HTF candle
float o
float c
float h
float l
int ot
int ct
int ht
int lt
bool bull
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Functions |
// # ========================================================================= #
//#region
method text_size(string size) =>
out = switch size
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
"Huge" => size.huge
"Auto" => size.auto
out
method line_style(string line) =>
out = switch line
'⎯⎯⎯' => line.style_solid
'----' => line.style_dashed
'····' => line.style_dotted
method font_style(string font) =>
out = switch font
'Default' => font.family_default
'Monospace' => font.family_monospace
shift_to_right(int current, int length, string tf) =>
current + timeframe.in_seconds(tf) * 1000 * (length + 1)
shift_to_left(int current, int prev, int length) =>
current - (current - prev) * length + 1
shift_bars_to_right(int bars) =>
bars + 20
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Store |
// # ========================================================================= #
//#region
var UDT_Store bin = UDT_Store.new(hl_ln = array.new(), hl_lbl = array.new())
method clean_hl(UDT_Store store) =>
for obj in store.hl_ln
obj.delete()
for obj in store.hl_lbl
obj.delete()
store.hl_ln.clear()
store.hl_lbl.clear()
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Highs & Lows MTF |
// # ========================================================================= #
//#region
method draw_pivots_ol_line(UDT_MTF mtf) =>
ol = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = hl_openline_css
, style = line_style(hl_openline_type)
, width = hl_openline_width
)
bin.hl_ln.push(ol)
mtf
method draw_pivots_hl_line(UDT_MTF mtf, color css, string pdhl_style, int line_width) =>
hl = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = css
, style = line_style(pdhl_style)
, width = line_width
)
bin.hl_ln.push(hl)
mtf
method draw_pivots_mid_line(UDT_MTF mtf) =>
ml = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = hl_midline_css
, style = line_style(hl_midline_type)
, width = hl_midline_width
)
bin.hl_ln.push(ml)
mtf
method draw_pivots_ll_line(UDT_MTF mtf, color css, string pdhl_style, int line_width) =>
ll = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = css
, style = line_style(pdhl_style)
, width = line_width
)
bin.hl_ln.push(ll)
mtf
method draw_pivots_label(UDT_MTF mtf, string fmt, string tf, color css) =>
lbl = label.new(
x = mtf.x2
, y = mtf.y2
, xloc = xloc.bar_time
, text = str.format(fmt, tf)
, color = colors_transparent
, textcolor = css
, size = text_size(general_text)
, style = label.style_label_left
, text_font_family = font_style(general_font)
)
bin.hl_lbl.push(lbl)
mtf
method mtf_pivots(UDT_HTF_Candle candle, tf, css, pdhl_style, line_width) =>
h_mtf = UDT_MTF.new(x1 = candle.ht, x2 = candle.ct, y1 = candle.h, y2 = candle.h)
l_mtf = UDT_MTF.new(x1 = candle.lt, x2 = candle.ct, y1 = candle.l, y2 = candle.l)
// validate high/low detections, if no candle is detected on the levels, set x1 to open
if na(h_mtf.x1)
h_mtf.x1 := candle.ot
if na(l_mtf.x1)
l_mtf.x1 := candle.ot
// position
extension = shift_to_right(time, 10, timeframe.period)
h_mtf.x2 := extension
l_mtf.x2 := extension
// Draw high line
h_mtf.draw_pivots_hl_line(css, pdhl_style, line_width)
.draw_pivots_label('P{0}H', tf, css)
// Draw low line
l_mtf.draw_pivots_ll_line(css, pdhl_style, line_width)
.draw_pivots_label('P{0}L', tf, css)
if hl_openline
o_mtf = UDT_MTF.new(x1 = candle.ot, x2 = candle.ct, y1 = candle.o, y2 = candle.o)
o_mtf.x2 := extension
// Draw open line
o_mtf.draw_pivots_ol_line()
.draw_pivots_label('P{0}O', tf, hl_openline_css)
if hl_midline
m_mtf = UDT_MTF.new()
midline_y = (h_mtf.y1 + l_mtf.y1) / 2
m_mtf.x1 := candle.ot
m_mtf.x2 := extension
m_mtf.y1 := midline_y
m_mtf.y2 := midline_y
// Draw midline
m_mtf.draw_pivots_mid_line()
.draw_pivots_label('P{0}A', tf, hl_midline_css)
candle
method session_begins(string tf, string ses, string tz) =>
ta.change(time(tf, ses, na(tz) ? "" : tz))!= 0
session_begins_2(string tf, string ses, string tz) =>
t = time(tf, ses, na(tz) ? "" : tz)
ct = time_close(tf, ses, na(tz) ? "" : tz)
not na(t) and not na(ct) and (na(t ) or t > t )
method in_session(string tf, string ses, string tz) =>
t = time(tf, ses, na(tz) ? "" : tz)
ct = time_close(tf, ses, na(tz) ? "" : tz)
not na(t) and not na(ct)
is_bullish_candle(float c, float o, float h, float l) =>
// Doji candle
if c == o
math.abs(o - h) < math.abs(o - l)
else
c > o
method detect_htf_candle(array candles, string tf, int buffer) =>
if session_begins(tf, "", na)or candles.size()==0
// log.info("session begins " + " open=" + str.format_time(time, "yyyy-MM-dd HH:mm"))
candle = UDT_HTF_Candle.new(tf = 'D')
candle.o := open
candle.c := close
candle.h := high
candle.l := low
candle.ot := time
candle.ct := time
candle.ht := time
candle.lt := time
candle.bull := is_bullish_candle(candle.c, candle.o, candle.h, candle.l)
if candles.size() >= buffer
candles.pop()
candles.unshift(candle)
else if in_session(tf, "", na) and candles.size()>0
candle = candles.first()
candle.c := close
candle.ct := time
if high > candle.h
candle.h := high
candle.ht := time
// log.info("h=" + str.tostring(high) + " l=" + str.tostring(low) + " o=" + str.tostring(open) + " c=" + str.tostring(close))
if low < candle.l
candle.l := low
candle.lt := time
// log.info("h=" + str.tostring(high) + " l=" + str.tostring(low) + " o=" + str.tostring(open) + " c=" + str.tostring(close))
candle.bull := is_bullish_candle(candle.c, candle.o, candle.h, candle.l)
// log.info("in session " + " time=" + str.format_time(time, "yyyy-MM-dd HH:mm") + " o=" + str.tostring(candle.o) + " c=" + str.tostring(candle.c))
candles
bin.clean_hl()
const int buffer = 2
if hl_daily
var htf_daily_candles = array.new()
htf_daily_candles.detect_htf_candle('D', buffer)
if htf_daily_candles.size() == buffer
prev_day = htf_daily_candles.get(1)
prev_day.mtf_pivots('D', hl_css_daily, hl_line_daily, hl_line_width_daily)
if hl_weekly
var htf_weekly_candles = array.new()
htf_weekly_candles.detect_htf_candle('W', buffer)
if htf_weekly_candles.size() == buffer and barstate.islast
prev_week = htf_weekly_candles.get(1)
prev_week.mtf_pivots('W', hl_css_weekly, hl_line_weekly, hl_line_width_weekly)
if hl_monthly
var htf_monthly_candles = array.new()
htf_monthly_candles.detect_htf_candle('M', buffer)
if htf_monthly_candles.size() == buffer and barstate.islast
prev_month = htf_monthly_candles.get(1)
prev_month.mtf_pivots('M', hl_css_monthly, hl_line_monthly, hl_line_width_monthly)
if hl_quartely
var htf_quartely_candles = array.new()
htf_quartely_candles.detect_htf_candle('3M', buffer)
if htf_quartely_candles.size() == buffer and barstate.islast
prev_quarter = htf_quartely_candles.get(1)
prev_quarter.mtf_pivots('3M', hl_css_quaterly, hl_line_quaterly, hl_line_width_quaterly)
if hl_yearly
var htf_yearly_candles = array.new()
htf_yearly_candles.detect_htf_candle('12M', buffer)
if htf_yearly_candles.size() == buffer and barstate.islast
prev_year = htf_yearly_candles.get(1)
prev_year.mtf_pivots('12M', hl_css_yearly, hl_line_yearly, hl_line_width_yearly)
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Brand |
// # ========================================================================= #
//#region
if barstate.isfirst and general_brand_show == false
var table brand = table.new(position.bottom_right, 1, 1, bgcolor = chart.bg_color)
table.cell(brand, 0, 0, "© CandelaCharts", text_color = colors_gray, text_halign = text.align_center, text_size = text_size(general_text), text_font_family = font_style(general_font))
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// Constants
color CLEAR = color.rgb(0,0,0,100)
eq_threshold = input.float(0.3, '', minval = 0, maxval = 0.5, step = 0.1, group = 'Market Structure',inline = 'equilibrium_zone')
showSwing = input.bool(false, 'Swing Points', group="Market Structure",inline="3")
swingSize_swing = input.int(10, "Swing Point Period",inline="4", group="Market Structure")
label_sizes_s =input.string("Medium", options= , title="Label Size",inline="4", group="Market Structure")
label_size_buysell_s = label_sizes_s == "Small" ? size.tiny : label_sizes_s == "Medium" ? size.small : label_sizes_s == "Large" ? size.normal : label_sizes_s == "Medium2" ? size.normal : label_sizes_s == "Large2" ? size.large : size.huge
label_size_buysell = label_sizes_s == "Small" ? size.tiny : label_sizes_s == "Medium" ? size.small : label_sizes_s == "Large" ? size.normal : label_sizes_s == "Medium2" ? size.normal : label_sizes_s == "Large2" ? size.large : size.huge
swingColor = input.color(#787b86 , '', group="Market Structure",inline="3")
swingSize = 3
length_eqh = 3
//----------------------------------------}
//Key Levels
//----------------------------------------{
var Show_4H_Levels = input.bool(defval=false, title='4H', group='Key Levels', inline='4H')
Color_4H_Levels = input.color(title='', defval=color.orange, group='Key Levels', inline='4H')
Style_4H_Levels = input.string('Dotted', ' Style', , group="Key Levels",inline="4H")
Text_4H_Levels = input.bool(defval=false, title='Shorten', group='Key Levels', inline='4H')
labelsize = input.string(defval='Medium', title='Text Size', options= ,group = "Key Levels", inline='H')
displayStyle = 'Standard'
distanceright = 25
radistance = 250
linesize = 'Small'
linestyle = 'Solid'
var untested_monday = false
bosConfType = 'Candle High'//input.string('Candle Close', 'BOS Confirmation', , tooltip='Choose whether candle close/wick above previous swing point counts as a BOS.')
MSS = true//input.bool(false, 'Show MSS', tooltip='Renames the first counter t_MS BOS to MSS' )
// showSwing = false//input.bool(true, 'Show Swing Points', tooltip='Show or hide HH, LH, HL, LL')
// Functions
lineStyle(x) =>
switch x
'Solid' => line.style_solid
'Dashed' => line.style_dashed
'Dotted' => line.style_dotted
pivot_high_found = ta.pivothigh(high, swingSize_swing, swingSize_swing)
pivot_low_found = ta.pivotlow(low, swingSize_swing, swingSize_swing)
var float prevHigh_s = na,var float prevLow_s = na,var int prevHighIndex_s = na,var int prevLowIndex_s = na
bool higher_highs = false, bool lower_highs = false, bool higher_lows = false, bool lower_lows = false
var int prevSwing_s = 0
if not na(pivot_high_found)
if pivot_high_found >= prevHigh_s
higher_highs := true
prevSwing_s := 2
else
lower_highs := true
prevSwing_s := 1
prevHigh_s := pivot_high_found
prevHighIndex_s := bar_index - swingSize_swing
if not na(pivot_low_found)
if pivot_low_found >= prevLow_s
higher_lows := true
prevSwing_s := -1
else
lower_lows := true
prevSwing_s := -2
prevLow_s := pivot_low_found
prevLowIndex_s := bar_index - swingSize_swing
// ———————————————————— Global data {
//Using current bar data for HTF highs and lows instead of security to prevent future leaking
var htfH = open
var htfL = open
if close > htfH
htfH:= close
if close < htfL
htfL := close
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--------------------------------------------------------------- Key Levels
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var monday_time = time
var monday_high = high
var monday_low = low
= request.security(syminfo.tickerid, 'W', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
if weekly_time != weekly_time
untested_monday := false
untested_monday
untested_monday := true
monday_low
linewidthint = 1
if linesize == 'Small'
linewidthint := 1
linewidthint
if linesize == 'Medium'
linewidthint := 2
linewidthint
if linesize == 'Large'
linewidthint := 3
linewidthint
var linewidth_def = linewidthint
fontsize = size.small
if labelsize == 'Small'
fontsize := size.small
fontsize
if labelsize == 'Medium'
fontsize := size.normal
fontsize
if labelsize == 'Large'
fontsize := size.large
fontsize
linestyles = line.style_solid
if linestyle == 'Dashed'
linestyles := line.style_dashed
linestyles
if linestyle == 'Dotted'
linestyles := line.style_dotted
linestyles
var DEFAULT_LABEL_SIZE = fontsize
var DEFAULT_LABEL_STYLE = label.style_none
var Rigth_Def = distanceright
var arr_price = array.new_float(0)
var arr_label = array.new_label(0)
Combine_Levels(arr_price, arr_label, currentprice, currentlabel, currentcolor) =>
if array.includes(arr_price, currentprice)
whichindex = array.indexof(arr_price, currentprice)
labelhold = array.get(arr_label, whichindex)
whichtext = label.get_text(labelhold)
label.set_text(labelhold, label.get_text(currentlabel) + ' / ' + whichtext)
label.set_text(currentlabel, '')
label.set_textcolor(labelhold, currentcolor)
else
array.push(arr_price, currentprice)
array.push(arr_label, currentlabel)
extend_to_current(bars) =>
timenow + (time - time ) * bars
if barstate.islast
arr_price := array.new_float(0)
arr_label := array.new_label(0)
if Show_4H_Levels
limit_4H_right = extend_to_current(Rigth_Def)
intrah_limit_right = extend_to_current(Rigth_Def)
intral_limit_right = extend_to_current(Rigth_Def)
var intrah_line = line.new(x1=intrah_time, x2=intrah_limit_right, y1=intrah_open, y2=intrah_open, color=Color_4H_Levels, width=linewidth_def, xloc=xloc.bar_time, style=lineStyle(Style_4H_Levels))
var intral_line = line.new(x1=intral_time, x2=intral_limit_right, y1=intral_open, y2=intral_open, color=Color_4H_Levels, width=linewidth_def, xloc=xloc.bar_time, style=lineStyle(Style_4H_Levels))
line.set_xy1(intrah_line,intrah_time,intrah_open)
line.set_xy2(intrah_line,intrah_limit_right,intrah_open)
line.set_x1(intral_line, intral_time)
line.set_x2(intral_line, intral_limit_right)
line.set_y1(intral_line, intral_open)
line.set_y2(intral_line, intral_open)
daily_limit_right = extend_to_current(Rigth_Def)
dailyh_limit_right = extend_to_current(Rigth_Def)
dailyl_limit_right = extend_to_current(Rigth_Def)
type Candle
float o
float c
float h
float l
int o_idx
int c_idx
int h_idx
int l_idx
box body
line wick_up
line wick_down
type Imbalance
box b
int idx
type CandleSettings
bool show
string htf
int max_display
type Settings
int max_sets
color bull_body
color bull_border
color bull_wick
color bear_body
color bear_border
color bear_wick
int offset
int buffer
int htf_buffer
int width
bool trace_show
color trace_o_color
string trace_o_style
int trace_o_size
color trace_c_color
string trace_c_style
int trace_c_size
color trace_h_color
string trace_h_style
int trace_h_size
color trace_l_color
string trace_l_style
int trace_l_size
string trace_anchor
bool label_show
color label_color
string label_size
bool htf_label_show
color htf_label_color
string htf_label_size
bool htf_timer_show
color htf_timer_color
string htf_timer_size
type CandleSet
Candle candles
Imbalance imbalances
CandleSettings settings
label tfName
label tfTimer
type Helper
string name = "Helper"
Settings settings = Settings.new()
var CandleSettings SettingsHTF1 = CandleSettings.new()
var CandleSettings SettingsHTF2 = CandleSettings.new()
var CandleSettings SettingsHTF3 = CandleSettings.new()
var Candle candles_1 = array.new(0)
var Candle candles_2 = array.new(0)
var Candle candles_3 = array.new(0)
var CandleSet htf1 = CandleSet.new()
htf1.settings := SettingsHTF1
htf1.candles := candles_1
var CandleSet htf2 = CandleSet.new()
htf2.settings := SettingsHTF2
htf2.candles := candles_2
var CandleSet htf3 = CandleSet.new()
htf3.settings := SettingsHTF3
htf3.candles := candles_3
//+------------------------------------------------------------------------------------------------------------+//
//+--- Settings ---+//
//+------------------------------------------------------------------------------------------------------------+//
htf1.settings.show := input.bool(true, "HTF 1 ", inline="htf1")
htf_1 = input.timeframe("15", "", inline="htf1")
htf1.settings.htf := htf_1
htf1.settings.max_display := input.int(4, "", inline="htf1")
htf2.settings.show := input.bool(true, "HTF 2 ", inline="htf2")
htf_2 = input.timeframe("60", "", inline="htf2")
htf2.settings.htf := htf_2
htf2.settings.max_display := input.int(4, "", inline="htf2")
htf3.settings.show := input.bool(true, "HTF 3 ", inline="htf3")
htf_3 = input.timeframe("1D", "", inline="htf3")
htf3.settings.htf := htf_3
htf3.settings.max_display := input.int(4, "", inline="htf3")
settings.max_sets := input.int(6, "Limit to next HTFs only", minval=1, maxval=6)
settings.bull_body := input.color(color.new(#39d23e, 3), "Body ", inline="body")
settings.bear_body := input.color(color.new(#ec0d0d, 4), "", inline="body")
settings.bull_border := input.color(color.rgb(206, 216, 216), "Borders", inline="borders")
settings.bear_border := input.color(color.new(#e5e9ea, 0), "", inline="borders")
settings.bull_wick := input.color(color.new(#e9eeee, 10), "Wick ", inline="wick")
settings.bear_wick := input.color(#f7f9f9, "", inline="wick")
settings.offset := input.int(25, "padding from current candles", minval = 1)
settings.buffer := input.int(1, "space between candles", minval = 1, maxval = 4)
settings.htf_buffer := input.int(10, "space between Higher Timeframes", minval = 1, maxval = 10)
settings.width := input.int(1, "Candle Width", minval = 1, maxval = 4)*2
settings.htf_label_show := input.bool(true, "HTF Label ", inline="HTFlabel")
settings.htf_label_color := input.color(color.new(#e6eef0, 10), "", inline='HTFlabel')
settings.htf_label_size := input.string(size.large, "", , inline="HTFlabel")
// ---------------- إعدادات ----------------
atrPeriod = input.int(10, "ATR Period", minval=1)
factor = input.float(3.0, "Supertrend Multiplier", minval=0.1, step=0.1)
rsiLength = input.int(14, "RSI Length", minval=2)
macdFast = input.int(12, "MACD Fast Length", minval=1)
macdSlow = input.int(26, "MACD Slow Length", minval=1)
macdSig = input.int(9, "MACD Signal Length", minval=1)
emaLen1 = input.int(20, "EMA 20 Length")
emaLen2 = input.int(50, "EMA 50 Length")
tablePos = input.string("top_right", "Table Position",
options= )
// ---------------- Supertrend ----------------
atr = ta.atr(atrPeriod)
upperBand = hl2 - factor * atr
lowerBand = hl2 + factor * atr
var float trend = na
if (close > nz(trend , hl2))
trend := math.max(upperBand, nz(trend , upperBand))
else
trend := math.min(lowerBand, nz(trend , lowerBand))
bull = close > trend
bear = close < trend
buySignal = ta.crossover(close, trend)
sellSignal = ta.crossunder(close, trend)
// ---------------- EMA ----------------
ema20 = ta.ema(close, emaLen1)
ema50 = ta.ema(close, emaLen2)
emaBull = ema20 > ema50
emaBear = ema20 < ema50
// ---------------- RSI ----------------
rsi = ta.rsi(close, rsiLength)
rsiBull = rsi > 50
// ---------------- MACD ----------------
macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow)
signal = ta.ema(macd, macdSig)
macdBull = macd > signal
// ---------------- VWAP ----------------
vwapValue = ta.vwap(close)
vwapBull = close > vwapValue
vwapBear = close < vwapValue
// ---------------- Dashboard ----------------
// نحتاج 8 صفوف: (العنوان + Supertrend + EMA + RSI + MACD + VWAP + FINAL + السعر الحالي)
var table dash = table.new(position=tablePos, columns=2, rows=8, border_width=1)
if barstate.islast
// العناوين
table.cell(dash, 0, 0, "Indicator", text_color=color.white, bgcolor=color.blue)
table.cell(dash, 1, 0, "Signal", text_color=color.white, bgcolor=color.blue)
// Supertrend
table.cell(dash, 0, 1, "Supertrend", text_color=color.white, bgcolor=color.rgb(79, 97, 148))
table.cell(dash, 1, 1, buySignal ? "كول ✅" : sellSignal ? "انعكاس المسار ❌" : bull ? "كول" : "بوت",
text_color=color.white,
bgcolor= buySignal ? color.green : sellSignal ? color.red : bull ? color.green : color.red)
// EMA
table.cell(dash, 0, 2, "EMA 20/50", text_color=color.white, bgcolor=color.rgb(71, 91, 144))
table.cell(dash, 1, 2, emaBull ? "كول" : "بوت",
text_color=color.white, bgcolor=emaBull ? color.green : color.red)
// RSI
table.cell(dash, 0, 3, "RSI", text_color=color.white, bgcolor=color.rgb(66, 85, 139))
table.cell(dash, 1, 3, rsiBull ? "كول" : "بوت",
text_color=color.white, bgcolor=rsiBull ? color.green : color.red)
// MACD
table.cell(dash, 0, 4, "MACD", text_color=color.white, bgcolor=color.rgb(94, 111, 159))
table.cell(dash, 1, 4, macdBull ? "كول" : "بوت",
text_color=color.white, bgcolor=macdBull ? color.green : color.red)
// VWAP
table.cell(dash, 0, 5, "VWAP", text_color=color.white, bgcolor=color.rgb(89, 106, 153))
table.cell(dash, 1, 5, vwapBull ? "كول" : "بوت",
text_color=color.white, bgcolor=vwapBull ? color.green : color.red)
// السعر الحالي
table.cell(dash, 0, 7, "السعر", text_color=color.white, bgcolor=color.rgb(78, 89, 121))
table.cell(dash, 1, 7, str.tostring(close, format.mintick),
text_color=color.white, bgcolor=color.gray)
14// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © CandelaCharts
//@version=6
indicator("CandelaCharts - Liquidity Key Zones (LKZ)", shorttitle = "CandelaCharts - Liquidity Key Zones (LKZ)", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 500, max_polylines_count = 100)
// # ========================================================================= #
// # | Colors |
// # ========================================================================= #
//#region
// # Core -------------------------------------------------------------------- #
colors_orange = color.orange
colors_blue = color.blue
colors_aqua = color.aqua
colors_red = color.red
colors_green = color.green
colors_maroon = color.maroon
colors_purple = color.purple
colors_gray = color.gray
colors_transparent = color.new(color.white,100)
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Inputs |
// # ========================================================================= #
//#region
// # General ----------------------------------------------------------------- #
general_font = input.string("Monospace", "Text ", options = , inline = "5", group = "General")
general_text = input.string("Tiny", "", options = , inline = "5", group = "General", tooltip = "Customize global text size and style")
general_brand_show = input.bool(false, "Hide Brand", group = "General")
// # LKZ --------------------------------------------------------------------- #
hl_daily = input.bool(true, "Day ", inline = "1", group = "HTF Levels")
hl_weekly = input.bool(false, "Week ", inline = "2", group = "HTF Levels")
hl_monthly = input.bool(false, "Month ", inline = "3", group = "HTF Levels")
hl_quartely = input.bool(false, "Quarter ", inline = "4", group = "HTF Levels")
hl_yearly = input.bool(false, "Year ", inline = "5", group = "HTF Levels")
hl_css_daily = input.color(colors_blue, "", inline = "1", group = "HTF Levels")
hl_css_weekly = input.color(colors_green, "", inline = "2", group = "HTF Levels")
hl_css_monthly = input.color(colors_purple, "", inline = "3", group = "HTF Levels")
hl_css_quaterly = input.color(colors_maroon, "", inline = "4", group = "HTF Levels")
hl_css_yearly = input.color(colors_gray, "", inline = "5", group = "HTF Levels")
hl_line_daily = input.string('⎯⎯⎯', '', inline = '1', group = "HTF Levels", options = )
hl_line_weekly = input.string('⎯⎯⎯', '', inline = '2', group = "HTF Levels", options = )
hl_line_monthly = input.string('⎯⎯⎯', '', inline = '3', group = "HTF Levels", options = )
hl_line_quaterly = input.string('⎯⎯⎯', '', inline = '4', group = "HTF Levels", options = )
hl_line_yearly = input.string('⎯⎯⎯', '', inline = '5', group = "HTF Levels", options = )
hl_line_width_daily = input.int(1, '', inline = '1', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_weekly = input.int(1, '', inline = '2', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_monthly = input.int(1, '', inline = '3', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_quaterly = input.int(1, '', inline = '4', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_yearly = input.int(1, '', inline = '5', group = "HTF Levels", minval = 1, maxval = 5)
hl_midline = input.bool(true, "Show Average ", inline = "6" , group = "HTF Levels")
hl_midline_css = input.color(colors_aqua, "", inline = "6", group = "HTF Levels")
hl_midline_type = input.string("----", "", inline = "6", group = "HTF Levels", options = , tooltip = "Show highs & lows mid-line")
hl_midline_width = input.int(1, "", inline = "6", group = "HTF Levels", tooltip = "Change mid-line highs & lows width")
hl_openline = input.bool(true, "Show Open ", inline = "7" , group = "HTF Levels")
hl_openline_css = input.color(colors_orange, "", inline = "7", group = "HTF Levels")
hl_openline_type = input.string("····", "", inline = "7", group = "HTF Levels", options = , tooltip = "Show highs & lows mid-line")
hl_openline_width = input.int(1, "", inline = "7", group = "HTF Levels", tooltip = "Change mid-line highs & lows width")
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | UDTs |
// # ========================================================================= #
//#region
type UDT_Store
line hl_ln
label hl_lbl
type UDT_MTF
int x1 = na
int x2 = na
float y1 = na
float y2 = na
type UDT_HTF_Candle
string tf
// real coordinates of HTF candle
float o
float c
float h
float l
int ot
int ct
int ht
int lt
bool bull
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Functions |
// # ========================================================================= #
//#region
method text_size(string size) =>
out = switch size
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
"Huge" => size.huge
"Auto" => size.auto
out
method line_style(string line) =>
out = switch line
'⎯⎯⎯' => line.style_solid
'----' => line.style_dashed
'····' => line.style_dotted
method font_style(string font) =>
out = switch font
'Default' => font.family_default
'Monospace' => font.family_monospace
shift_to_right(int current, int length, string tf) =>
current + timeframe.in_seconds(tf) * 1000 * (length + 1)
shift_to_left(int current, int prev, int length) =>
current - (current - prev) * length + 1
shift_bars_to_right(int bars) =>
bars + 20
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Store |
// # ========================================================================= #
//#region
var UDT_Store bin = UDT_Store.new(hl_ln = array.new(), hl_lbl = array.new())
method clean_hl(UDT_Store store) =>
for obj in store.hl_ln
obj.delete()
for obj in store.hl_lbl
obj.delete()
store.hl_ln.clear()
store.hl_lbl.clear()
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Highs & Lows MTF |
// # ========================================================================= #
//#region
method draw_pivots_ol_line(UDT_MTF mtf) =>
ol = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = hl_openline_css
, style = line_style(hl_openline_type)
, width = hl_openline_width
)
bin.hl_ln.push(ol)
mtf
method draw_pivots_hl_line(UDT_MTF mtf, color css, string pdhl_style, int line_width) =>
hl = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = css
, style = line_style(pdhl_style)
, width = line_width
)
bin.hl_ln.push(hl)
mtf
method draw_pivots_mid_line(UDT_MTF mtf) =>
ml = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = hl_midline_css
, style = line_style(hl_midline_type)
, width = hl_midline_width
)
bin.hl_ln.push(ml)
mtf
method draw_pivots_ll_line(UDT_MTF mtf, color css, string pdhl_style, int line_width) =>
ll = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = css
, style = line_style(pdhl_style)
, width = line_width
)
bin.hl_ln.push(ll)
mtf
method draw_pivots_label(UDT_MTF mtf, string fmt, string tf, color css) =>
lbl = label.new(
x = mtf.x2
, y = mtf.y2
, xloc = xloc.bar_time
, text = str.format(fmt, tf)
, color = colors_transparent
, textcolor = css
, size = text_size(general_text)
, style = label.style_label_left
, text_font_family = font_style(general_font)
)
bin.hl_lbl.push(lbl)
mtf
method mtf_pivots(UDT_HTF_Candle candle, tf, css, pdhl_style, line_width) =>
h_mtf = UDT_MTF.new(x1 = candle.ht, x2 = candle.ct, y1 = candle.h, y2 = candle.h)
l_mtf = UDT_MTF.new(x1 = candle.lt, x2 = candle.ct, y1 = candle.l, y2 = candle.l)
// validate high/low detections, if no candle is detected on the levels, set x1 to open
if na(h_mtf.x1)
h_mtf.x1 := candle.ot
if na(l_mtf.x1)
l_mtf.x1 := candle.ot
// position
extension = shift_to_right(time, 10, timeframe.period)
h_mtf.x2 := extension
l_mtf.x2 := extension
// Draw high line
h_mtf.draw_pivots_hl_line(css, pdhl_style, line_width)
.draw_pivots_label('P{0}H', tf, css)
// Draw low line
l_mtf.draw_pivots_ll_line(css, pdhl_style, line_width)
.draw_pivots_label('P{0}L', tf, css)
if hl_openline
o_mtf = UDT_MTF.new(x1 = candle.ot, x2 = candle.ct, y1 = candle.o, y2 = candle.o)
o_mtf.x2 := extension
// Draw open line
o_mtf.draw_pivots_ol_line()
.draw_pivots_label('P{0}O', tf, hl_openline_css)
if hl_midline
m_mtf = UDT_MTF.new()
midline_y = (h_mtf.y1 + l_mtf.y1) / 2
m_mtf.x1 := candle.ot
m_mtf.x2 := extension
m_mtf.y1 := midline_y
m_mtf.y2 := midline_y
// Draw midline
m_mtf.draw_pivots_mid_line()
.draw_pivots_label('P{0}A', tf, hl_midline_css)
candle
method session_begins(string tf, string ses, string tz) =>
ta.change(time(tf, ses, na(tz) ? "" : tz))!= 0
session_begins_2(string tf, string ses, string tz) =>
t = time(tf, ses, na(tz) ? "" : tz)
ct = time_close(tf, ses, na(tz) ? "" : tz)
not na(t) and not na(ct) and (na(t ) or t > t )
method in_session(string tf, string ses, string tz) =>
t = time(tf, ses, na(tz) ? "" : tz)
ct = time_close(tf, ses, na(tz) ? "" : tz)
not na(t) and not na(ct)
is_bullish_candle(float c, float o, float h, float l) =>
// Doji candle
if c == o
math.abs(o - h) < math.abs(o - l)
else
c > o
method detect_htf_candle(array candles, string tf, int buffer) =>
if session_begins(tf, "", na)or candles.size()==0
// log.info("session begins " + " open=" + str.format_time(time, "yyyy-MM-dd HH:mm"))
candle = UDT_HTF_Candle.new(tf = 'D')
candle.o := open
candle.c := close
candle.h := high
candle.l := low
candle.ot := time
candle.ct := time
candle.ht := time
candle.lt := time
candle.bull := is_bullish_candle(candle.c, candle.o, candle.h, candle.l)
if candles.size() >= buffer
candles.pop()
candles.unshift(candle)
else if in_session(tf, "", na) and candles.size()>0
candle = candles.first()
candle.c := close
candle.ct := time
if high > candle.h
candle.h := high
candle.ht := time
// log.info("h=" + str.tostring(high) + " l=" + str.tostring(low) + " o=" + str.tostring(open) + " c=" + str.tostring(close))
if low < candle.l
candle.l := low
candle.lt := time
// log.info("h=" + str.tostring(high) + " l=" + str.tostring(low) + " o=" + str.tostring(open) + " c=" + str.tostring(close))
candle.bull := is_bullish_candle(candle.c, candle.o, candle.h, candle.l)
// log.info("in session " + " time=" + str.format_time(time, "yyyy-MM-dd HH:mm") + " o=" + str.tostring(candle.o) + " c=" + str.tostring(candle.c))
candles
bin.clean_hl()
const int buffer = 2
if hl_daily
var htf_daily_candles = array.new()
htf_daily_candles.detect_htf_candle('D', buffer)
if htf_daily_candles.size() == buffer
prev_day = htf_daily_candles.get(1)
prev_day.mtf_pivots('D', hl_css_daily, hl_line_daily, hl_line_width_daily)
if hl_weekly
var htf_weekly_candles = array.new()
htf_weekly_candles.detect_htf_candle('W', buffer)
if htf_weekly_candles.size() == buffer and barstate.islast
prev_week = htf_weekly_candles.get(1)
prev_week.mtf_pivots('W', hl_css_weekly, hl_line_weekly, hl_line_width_weekly)
if hl_monthly
var htf_monthly_candles = array.new()
htf_monthly_candles.detect_htf_candle('M', buffer)
if htf_monthly_candles.size() == buffer and barstate.islast
prev_month = htf_monthly_candles.get(1)
prev_month.mtf_pivots('M', hl_css_monthly, hl_line_monthly, hl_line_width_monthly)
if hl_quartely
var htf_quartely_candles = array.new()
htf_quartely_candles.detect_htf_candle('3M', buffer)
if htf_quartely_candles.size() == buffer and barstate.islast
prev_quarter = htf_quartely_candles.get(1)
prev_quarter.mtf_pivots('3M', hl_css_quaterly, hl_line_quaterly, hl_line_width_quaterly)
if hl_yearly
var htf_yearly_candles = array.new()
htf_yearly_candles.detect_htf_candle('12M', buffer)
if htf_yearly_candles.size() == buffer and barstate.islast
prev_year = htf_yearly_candles.get(1)
prev_year.mtf_pivots('12M', hl_css_yearly, hl_line_yearly, hl_line_width_yearly)
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Brand |
// # ========================================================================= #
//#region
if barstate.isfirst and general_brand_show == false
var table brand = table.new(position.bottom_right, 1, 1, bgcolor = chart.bg_color)
table.cell(brand, 0, 0, "© CandelaCharts", text_color = colors_gray, text_halign = text.align_center, text_size = text_size(general_text), text_font_family = font_style(general_font))
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// Constants
color CLEAR = color.rgb(0,0,0,100)
eq_threshold = input.float(0.3, '', minval = 0, maxval = 0.5, step = 0.1, group = 'Market Structure',inline = 'equilibrium_zone')
showSwing = input.bool(false, 'Swing Points', group="Market Structure",inline="3")
swingSize_swing = input.int(10, "Swing Point Period",inline="4", group="Market Structure")
label_sizes_s =input.string("Medium", options= , title="Label Size",inline="4", group="Market Structure")
label_size_buysell_s = label_sizes_s == "Small" ? size.tiny : label_sizes_s == "Medium" ? size.small : label_sizes_s == "Large" ? size.normal : label_sizes_s == "Medium2" ? size.normal : label_sizes_s == "Large2" ? size.large : size.huge
label_size_buysell = label_sizes_s == "Small" ? size.tiny : label_sizes_s == "Medium" ? size.small : label_sizes_s == "Large" ? size.normal : label_sizes_s == "Medium2" ? size.normal : label_sizes_s == "Large2" ? size.large : size.huge
swingColor = input.color(#787b86 , '', group="Market Structure",inline="3")
swingSize = 3
length_eqh = 3
//----------------------------------------}
//Key Levels
//----------------------------------------{
var Show_4H_Levels = input.bool(defval=false, title='4H', group='Key Levels', inline='4H')
Color_4H_Levels = input.color(title='', defval=color.orange, group='Key Levels', inline='4H')
Style_4H_Levels = input.string('Dotted', ' Style', , group="Key Levels",inline="4H")
Text_4H_Levels = input.bool(defval=false, title='Shorten', group='Key Levels', inline='4H')
labelsize = input.string(defval='Medium', title='Text Size', options= ,group = "Key Levels", inline='H')
displayStyle = 'Standard'
distanceright = 25
radistance = 250
linesize = 'Small'
linestyle = 'Solid'
var untested_monday = false
bosConfType = 'Candle High'//input.string('Candle Close', 'BOS Confirmation', , tooltip='Choose whether candle close/wick above previous swing point counts as a BOS.')
MSS = true//input.bool(false, 'Show MSS', tooltip='Renames the first counter t_MS BOS to MSS' )
// showSwing = false//input.bool(true, 'Show Swing Points', tooltip='Show or hide HH, LH, HL, LL')
// Functions
lineStyle(x) =>
switch x
'Solid' => line.style_solid
'Dashed' => line.style_dashed
'Dotted' => line.style_dotted
pivot_high_found = ta.pivothigh(high, swingSize_swing, swingSize_swing)
pivot_low_found = ta.pivotlow(low, swingSize_swing, swingSize_swing)
var float prevHigh_s = na,var float prevLow_s = na,var int prevHighIndex_s = na,var int prevLowIndex_s = na
bool higher_highs = false, bool lower_highs = false, bool higher_lows = false, bool lower_lows = false
var int prevSwing_s = 0
if not na(pivot_high_found)
if pivot_high_found >= prevHigh_s
higher_highs := true
prevSwing_s := 2
else
lower_highs := true
prevSwing_s := 1
prevHigh_s := pivot_high_found
prevHighIndex_s := bar_index - swingSize_swing
if not na(pivot_low_found)
if pivot_low_found >= prevLow_s
higher_lows := true
prevSwing_s := -1
else
lower_lows := true
prevSwing_s := -2
prevLow_s := pivot_low_found
prevLowIndex_s := bar_index - swingSize_swing
// ———————————————————— Global data {
//Using current bar data for HTF highs and lows instead of security to prevent future leaking
var htfH = open
var htfL = open
if close > htfH
htfH:= close
if close < htfL
htfL := close
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--------------------------------------------------------------- Key Levels
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var monday_time = time
var monday_high = high
var monday_low = low
= request.security(syminfo.tickerid, 'W', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
if weekly_time != weekly_time
untested_monday := false
untested_monday
untested_monday := true
monday_low
linewidthint = 1
if linesize == 'Small'
linewidthint := 1
linewidthint
if linesize == 'Medium'
linewidthint := 2
linewidthint
if linesize == 'Large'
linewidthint := 3
linewidthint
var linewidth_def = linewidthint
fontsize = size.small
if labelsize == 'Small'
fontsize := size.small
fontsize
if labelsize == 'Medium'
fontsize := size.normal
fontsize
if labelsize == 'Large'
fontsize := size.large
fontsize
linestyles = line.style_solid
if linestyle == 'Dashed'
linestyles := line.style_dashed
linestyles
if linestyle == 'Dotted'
linestyles := line.style_dotted
linestyles
var DEFAULT_LABEL_SIZE = fontsize
var DEFAULT_LABEL_STYLE = label.style_none
var Rigth_Def = distanceright
var arr_price = array.new_float(0)
var arr_label = array.new_label(0)
Combine_Levels(arr_price, arr_label, currentprice, currentlabel, currentcolor) =>
if array.includes(arr_price, currentprice)
whichindex = array.indexof(arr_price, currentprice)
labelhold = array.get(arr_label, whichindex)
whichtext = label.get_text(labelhold)
label.set_text(labelhold, label.get_text(currentlabel) + ' / ' + whichtext)
label.set_text(currentlabel, '')
label.set_textcolor(labelhold, currentcolor)
else
array.push(arr_price, currentprice)
array.push(arr_label, currentlabel)
extend_to_current(bars) =>
timenow + (time - time ) * bars
if barstate.islast
arr_price := array.new_float(0)
arr_label := array.new_label(0)
if Show_4H_Levels
limit_4H_right = extend_to_current(Rigth_Def)
intrah_limit_right = extend_to_current(Rigth_Def)
intral_limit_right = extend_to_current(Rigth_Def)
var intrah_line = line.new(x1=intrah_time, x2=intrah_limit_right, y1=intrah_open, y2=intrah_open, color=Color_4H_Levels, width=linewidth_def, xloc=xloc.bar_time, style=lineStyle(Style_4H_Levels))
var intral_line = line.new(x1=intral_time, x2=intral_limit_right, y1=intral_open, y2=intral_open, color=Color_4H_Levels, width=linewidth_def, xloc=xloc.bar_time, style=lineStyle(Style_4H_Levels))
line.set_xy1(intrah_line,intrah_time,intrah_open)
line.set_xy2(intrah_line,intrah_limit_right,intrah_open)
line.set_x1(intral_line, intral_time)
line.set_x2(intral_line, intral_limit_right)
line.set_y1(intral_line, intral_open)
line.set_y2(intral_line, intral_open)
daily_limit_right = extend_to_current(Rigth_Def)
dailyh_limit_right = extend_to_current(Rigth_Def)
dailyl_limit_right = extend_to_current(Rigth_Def)
type Candle
float o
float c
float h
float l
int o_idx
int c_idx
int h_idx
int l_idx
box body
line wick_up
line wick_down
type Imbalance
box b
int idx
type CandleSettings
bool show
string htf
int max_display
type Settings
int max_sets
color bull_body
color bull_border
color bull_wick
color bear_body
color bear_border
color bear_wick
int offset
int buffer
int htf_buffer
int width
bool trace_show
color trace_o_color
string trace_o_style
int trace_o_size
color trace_c_color
string trace_c_style
int trace_c_size
color trace_h_color
string trace_h_style
int trace_h_size
color trace_l_color
string trace_l_style
int trace_l_size
string trace_anchor
bool label_show
color label_color
string label_size
bool htf_label_show
color htf_label_color
string htf_label_size
bool htf_timer_show
color htf_timer_color
string htf_timer_size
type CandleSet
Candle candles
Imbalance imbalances
CandleSettings settings
label tfName
label tfTimer
type Helper
string name = "Helper"
Settings settings = Settings.new()
var CandleSettings SettingsHTF1 = CandleSettings.new()
var CandleSettings SettingsHTF2 = CandleSettings.new()
var CandleSettings SettingsHTF3 = CandleSettings.new()
var Candle candles_1 = array.new(0)
var Candle candles_2 = array.new(0)
var Candle candles_3 = array.new(0)
var CandleSet htf1 = CandleSet.new()
htf1.settings := SettingsHTF1
htf1.candles := candles_1
var CandleSet htf2 = CandleSet.new()
htf2.settings := SettingsHTF2
htf2.candles := candles_2
var CandleSet htf3 = CandleSet.new()
htf3.settings := SettingsHTF3
htf3.candles := candles_3
//+------------------------------------------------------------------------------------------------------------+//
//+--- Settings ---+//
//+------------------------------------------------------------------------------------------------------------+//
htf1.settings.show := input.bool(true, "HTF 1 ", inline="htf1")
htf_1 = input.timeframe("15", "", inline="htf1")
htf1.settings.htf := htf_1
htf1.settings.max_display := input.int(4, "", inline="htf1")
htf2.settings.show := input.bool(true, "HTF 2 ", inline="htf2")
htf_2 = input.timeframe("60", "", inline="htf2")
htf2.settings.htf := htf_2
htf2.settings.max_display := input.int(4, "", inline="htf2")
htf3.settings.show := input.bool(true, "HTF 3 ", inline="htf3")
htf_3 = input.timeframe("1D", "", inline="htf3")
htf3.settings.htf := htf_3
htf3.settings.max_display := input.int(4, "", inline="htf3")
settings.max_sets := input.int(6, "Limit to next HTFs only", minval=1, maxval=6)
settings.bull_body := input.color(color.new(#39d23e, 3), "Body ", inline="body")
settings.bear_body := input.color(color.new(#ec0d0d, 4), "", inline="body")
settings.bull_border := input.color(color.rgb(206, 216, 216), "Borders", inline="borders")
settings.bear_border := input.color(color.new(#e5e9ea, 0), "", inline="borders")
settings.bull_wick := input.color(color.new(#e9eeee, 10), "Wick ", inline="wick")
settings.bear_wick := input.color(#f7f9f9, "", inline="wick")
settings.offset := input.int(25, "padding from current candles", minval = 1)
settings.buffer := input.int(1, "space between candles", minval = 1, maxval = 4)
settings.htf_buffer := input.int(10, "space between Higher Timeframes", minval = 1, maxval = 10)
settings.width := input.int(1, "Candle Width", minval = 1, maxval = 4)*2
settings.htf_label_show := input.bool(true, "HTF Label ", inline="HTFlabel")
settings.htf_label_color := input.color(color.new(#e6eef0, 10), "", inline='HTFlabel')
settings.htf_label_size := input.string(size.large, "", , inline="HTFlabel")
// ---------------- إعدادات ----------------
atrPeriod = input.int(10, "ATR Period", minval=1)
factor = input.float(3.0, "Supertrend Multiplier", minval=0.1, step=0.1)
rsiLength = input.int(14, "RSI Length", minval=2)
macdFast = input.int(12, "MACD Fast Length", minval=1)
macdSlow = input.int(26, "MACD Slow Length", minval=1)
macdSig = input.int(9, "MACD Signal Length", minval=1)
emaLen1 = input.int(20, "EMA 20 Length")
emaLen2 = input.int(50, "EMA 50 Length")
tablePos = input.string("top_right", "Table Position",
options= )
// ---------------- Supertrend ----------------
atr = ta.atr(atrPeriod)
upperBand = hl2 - factor * atr
lowerBand = hl2 + factor * atr
var float trend = na
if (close > nz(trend , hl2))
trend := math.max(upperBand, nz(trend , upperBand))
else
trend := math.min(lowerBand, nz(trend , lowerBand))
bull = close > trend
bear = close < trend
buySignal = ta.crossover(close, trend)
sellSignal = ta.crossunder(close, trend)
// ---------------- EMA ----------------
ema20 = ta.ema(close, emaLen1)
ema50 = ta.ema(close, emaLen2)
emaBull = ema20 > ema50
emaBear = ema20 < ema50
// ---------------- RSI ----------------
rsi = ta.rsi(close, rsiLength)
rsiBull = rsi > 50
// ---------------- MACD ----------------
macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow)
signal = ta.ema(macd, macdSig)
macdBull = macd > signal
// ---------------- VWAP ----------------
vwapValue = ta.vwap(close)
vwapBull = close > vwapValue
vwapBear = close < vwapValue
// ---------------- Dashboard ----------------
// نحتاج 8 صفوف: (العنوان + Supertrend + EMA + RSI + MACD + VWAP + FINAL + السعر الحالي)
var table dash = table.new(position=tablePos, columns=2, rows=8, border_width=1)
if barstate.islast
// العناوين
table.cell(dash, 0, 0, "Indicator", text_color=color.white, bgcolor=color.blue)
table.cell(dash, 1, 0, "Signal", text_color=color.white, bgcolor=color.blue)
// Supertrend
table.cell(dash, 0, 1, "Supertrend", text_color=color.white, bgcolor=color.rgb(79, 97, 148))
table.cell(dash, 1, 1, buySignal ? "كول ✅" : sellSignal ? "انعكاس المسار ❌" : bull ? "كول" : "بوت",
text_color=color.white,
bgcolor= buySignal ? color.green : sellSignal ? color.red : bull ? color.green : color.red)
// EMA
table.cell(dash, 0, 2, "EMA 20/50", text_color=color.white, bgcolor=color.rgb(71, 91, 144))
table.cell(dash, 1, 2, emaBull ? "كول" : "بوت",
text_color=color.white, bgcolor=emaBull ? color.green : color.red)
// RSI
table.cell(dash, 0, 3, "RSI", text_color=color.white, bgcolor=color.rgb(66, 85, 139))
table.cell(dash, 1, 3, rsiBull ? "كول" : "بوت",
text_color=color.white, bgcolor=rsiBull ? color.green : color.red)
// MACD
table.cell(dash, 0, 4, "MACD", text_color=color.white, bgcolor=color.rgb(94, 111, 159))
table.cell(dash, 1, 4, macdBull ? "كول" : "بوت",
text_color=color.white, bgcolor=macdBull ? color.green : color.red)
// VWAP
table.cell(dash, 0, 5, "VWAP", text_color=color.white, bgcolor=color.rgb(89, 106, 153))
table.cell(dash, 1, 5, vwapBull ? "كول" : "بوت",
text_color=color.white, bgcolor=vwapBull ? color.green : color.red)
// السعر الحالي
table.cell(dash, 0, 7, "السعر", text_color=color.white, bgcolor=color.rgb(78, 89, 121))
table.cell(dash, 1, 7, str.tostring(close, format.mintick),
text_color=color.white, bgcolor=color.gray)
EMA Dynamic Crossover Detector with Real-Time Signal TableDescriptionWhat This Indicator Does:This indicator monitors all possible crossovers between four key exponential moving averages (20, 50, 100, and 200 periods) and displays them both visually on the chart and in an organized data table. Unlike standard EMA indicators that only plot the lines, this tool actively detects every crossover event, marks the exact crossover point with a circle, records the precise price level, and maintains a running log of all crossovers during the trading session. It's designed for traders who want comprehensive EMA crossover analysis without manually watching multiple moving average pairs.Key Features:
Four Essential EMAs: Plots 20, 50, 100, and 200-period exponential moving averages with color-coded thin lines for clean chart presentation
Complete Crossover Detection: Monitors all 6 possible EMA pair combinations (20×50, 20×100, 20×200, 50×100, 50×200, 100×200) in both directions
Precise Price Marking: Places colored circles at the exact average price where crossovers occur (not just at candle close)
Real-Time Signal Table: Displays up to 10 most recent crossovers with timestamp, direction, exact price, and signal type
Session Filtering: Only records crossovers during active trading hours (10:00-18:00 Istanbul time) to avoid noise from low-liquidity periods
Automatic Daily Reset: Clears the signal table at the start of each new trading day for fresh analysis
Built-In Alerts: Two alert conditions (bullish and bearish crossovers) that can be configured to send notifications
How It Works:The indicator calculates four exponential moving averages using the standard EMA formula, then continuously monitors for crossover events using Pine Script's ta.crossover() and ta.crossunder() functions:Bullish Crossovers (Green ▲):
When a faster EMA crosses above a slower EMA, indicating potential upward momentum:
20 crosses above 50, 100, or 200
50 crosses above 100 or 200
100 crosses above 200 (Golden Cross when it's the 50×200)
Bearish Crossovers (Red ▼):
When a faster EMA crosses below a slower EMA, indicating potential downward momentum:
20 crosses below 50, 100, or 200
50 crosses below 100 or 200
100 crosses below 200 (Death Cross when it's the 50×200)
Price Calculation:
Instead of marking crossovers at the candle's close price (which might not be where the actual cross occurred), the indicator calculates the average price between the two crossing EMAs, providing a more accurate representation of the crossover point.Signal Table Structure:The table in the top-right corner displays four columns:
Saat (Time): Exact time of crossover in HH:MM format
Yön (Direction): Arrow indicator (▲ green for bullish, ▼ red for bearish)
Fiyat (Price): Calculated average price at the crossover point
Durum (Status): Signal classification ("ALIŞ" for buy signals, "SATIŞ" for sell signals) with color-coded background
The table shows up to 10 most recent crossovers, automatically updating as new signals appear. If no crossovers have occurred during the session within the time filter, it displays "Henüz kesişim yok" (No crossovers yet).EMA Color Coding:
EMA 20 (Aqua/Turquoise): Fastest-reacting, most sensitive to recent price changes
EMA 50 (Green): Short-term trend indicator
EMA 100 (Yellow): Medium-term trend indicator
EMA 200 (Red): Long-term trend baseline, key support/resistance level
How to Use:For Day Traders:
Monitor 20×50 crossovers for quick entry/exit signals within the day
Use the time filter (10:00-18:00) to focus on high-volume trading hours
Check the signal table throughout the session to track momentum shifts
Look for confirmation: if 20 crosses above 50 and price is above EMA 200, bullish bias is stronger
For Swing Traders:
Focus on 50×200 crossovers (Golden Cross/Death Cross) for major trend changes
Use higher timeframes (4H, Daily) for more reliable signals
Wait for price to close above/below the crossover point before entering
Combine with support/resistance levels for better entry timing
For Position Traders:
Monitor 100×200 crossovers on daily/weekly charts for long-term trend changes
Use as confirmation of major market shifts
Don't react to every crossover—wait for sustained movement after the cross
Consider multiple timeframe analysis (if crossovers align on weekly and daily, signal is stronger)
Understanding EMA Hierarchies:The indicator becomes most powerful when you understand EMA relationships:Bullish Hierarchy (Strongest to Weakest):
All EMAs ascending (20 > 50 > 100 > 200): Strong uptrend
20 crosses above 50 while both are above 200: Pullback ending in uptrend
50 crosses above 200 while 20/50 below: Early trend reversal signal
Bearish Hierarchy (Strongest to Weakest):
All EMAs descending (20 < 50 < 100 < 200): Strong downtrend
20 crosses below 50 while both are below 200: Rally ending in downtrend
50 crosses below 200 while 20/50 above: Early trend reversal signal
Trading Strategy Examples:Pullback Entry Strategy:
Identify major trend using EMA 200 (price above = uptrend, below = downtrend)
Wait for pullback (20 crosses below 50 in uptrend, or above 50 in downtrend)
Enter when 20 re-crosses 50 in the trend direction
Place stop below/above the recent swing point
Exit when 20 crosses 50 against the trend again
Golden Cross/Death Cross Strategy:
Wait for 50×200 crossover (appears in the signal table)
Verify: Check if crossover occurs with increasing volume
Entry: Enter in the direction of the cross after a pullback
Stop: Place stop below/above the 200 EMA
Target: Swing high/low or when opposite crossover occurs
Multi-Crossover Confirmation:
Watch for multiple crossovers in the same direction within a short period
Example: 20×50 crossover followed by 20×100 = strengthening momentum
Enter after the second confirmation crossover
More crossovers = stronger signal but also means you're entering later
Time Filter Benefits:The 10:00-18:00 Istanbul time filter prevents recording crossovers during:
Pre-market volatility and gaps
Low-volume overnight sessions (for 24-hour markets)
After-hours erratic movements
P-Ichimoku MTF++English:
Ichimoku indicator on the 4-hour and weekly timeframes is a powerful tool for analyzing market trends and potential reversals. The weekly chart highlights the long-term trend and major support-resistance levels, while the 4-hour chart is ideal for spotting short-term trading opportunities. Crosses of the Tenkan-sen and Kijun-sen lines, as well as the price position relative to the cloud, provide specific signals. Using Ichimoku on multiple timeframes helps traders see both the big picture and short-term opportunities.
TraderDemircan Auto Fibonacci RetracementDescription:
What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features:
Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors
Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618)
Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top
Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference
Complete Customization: Individual toggle controls and color selection for each of the 16 levels
Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both)
Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point)
Optional Trend Line: Connects the two swing points to visualize the overall price movement direction
How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base):
Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak):
After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method:
The indicator uses the top-down approach where:
1.0 Level = Swing High (100% retracement, the top)
0.0 Level = Swing Low (0% retracement, the bottom)
Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high
Extension Levels (1.115 to 3.618) = Potential target zones below the swing low
Formula: Price = SwingHigh - (SwingHigh - SwingLow) × FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0):
0.0 (Gray): Swing low - the base support level
0.236 (Red): Shallow retracement, first minor support
0.382 (Orange): Moderate retracement, commonly watched support
0.5 (Purple): Psychological midpoint, significant support/resistance
0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone
0.786 (Cyan): Deep retracement, last defense before full reversal
1.0 (Gray): Swing high - the initial resistance level
Extension Levels (1.115 - 3.618):
1.115 (Green): First extension, minimal downside target
1.272 (Light Green): Minor extension, common profit target
1.414 (Yellow-Green): Square root of 2, mathematical significance
1.618 (Gold - Golden Extension): Primary downside target, most watched extension level
2.0 (Orange-Red): 200% extension, psychological round number
2.382 (Pink): Secondary extension target
2.618 (Purple): Deep extension, major target zone
3.272 (Deep Purple): Extreme extension level
3.618 (Blue): Maximum extension, rare but powerful target
How to Use:For Retracement Trading (Buying Pullbacks in Uptrends):
Wait for price to make a significant move up from swing low to swing high
When price starts pulling back, watch for reactions at key Fibonacci levels
Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio)
Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels
Place stop loss below the next Fibonacci level
Target: Return to swing high or higher extension levels
For Extension Trading (Profit Targets):
After price breaks below the swing low (0.0 level), use extensions as profit targets
First target: 1.272 (conservative)
Primary target: 1.618 (golden extension - most commonly reached)
Extended target: 2.618 (for strong trends)
Extreme target: 3.618 (only in powerful trending moves)
For Counter-Trend Trading (Fading Extremes):
When price reaches deep retracements (0.786 or below), look for exhaustion signals
Watch for divergences between price and momentum indicators at these levels
Enter reversal trades with tight stops below the swing low
Target: 0.5 or 0.382 levels on the bounce
For Trend Continuation:
In strong uptrends, shallow retracements (0.236 to 0.382) often hold
Use these as low-risk entry points to join the existing trend
Failure to hold 0.5 suggests weakening momentum
Breaking below 0.618 often indicates trend reversal, not just retracement
Multi-Timeframe Strategy:
Use daily timeframe Fibonacci for major support/resistance zones
Use 4H or 1H Fibonacci for precise entry timing within those zones
Confluence between multiple timeframe Fibonacci levels creates high-probability zones
Example: Daily 0.618 level aligning with 4H 0.5 level = strong support
Settings Guide:Lookback Period (10-500):
Short (20-50): Captures recent swings, more frequent updates, suited for day trading
Medium (50-150): Balanced approach, good for swing trading (default: 100)
Long (150-500): Identifies major market structure, suited for position trading
Higher values = more stable levels but slower to adapt to new trends
Pivot Sensitivity (1-20):
Controls how many candles are required to confirm a swing point
Low (1-5): More sensitive, identifies minor swings (default: 5)
High (10-20): Less sensitive, only major swings qualify
Use higher sensitivity on lower timeframes to filter noise
Individual Level Toggles:
Enable only the levels you actively trade to reduce chart clutter
Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618
Comprehensive setup: Enable all levels for maximum information
Visual Customization:
Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading
Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary
Price Labels: Essential for knowing exact entry/exit prices
Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at
Extension Direction: Extend right for forward-looking analysis, left for historical context
What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from:
Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation
Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools
Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse
Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order
Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection)
Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity
Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are
Important Considerations:
Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance
Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels
Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing
Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines)
Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels
Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots
Best Practices:
Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume)
Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels
Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk
Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level
Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone
Respect the 0.618: This golden ratio level is historically the most reliable for reversals
Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low
Optimal Timeframes:
Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only
Day Trading (15m-1H): Lookback 50-100, all retracement levels important
Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions
Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning
Common Fibonacci Trading Mistakes to Avoid:
Wrong Swing Selection: Choosing insignificant swings produces meaningless levels
Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation
Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends
Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors
Static Analysis: Not updating your Fibonacci as market structure evolves
Arbitrary Lookback: Using the same lookback period for all assets and timeframes
Integration with Other Tools:Fibonacci + Moving Averages:
When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support
Price bouncing from both Fibonacci and MA simultaneously = high-probability trade
Fibonacci + RSI/Stochastic:
Oversold indicators at 0.618 or deeper retracements = strong buy signal
Overbought indicators at swing high (1.0) = potential reversal warning
Fibonacci + Volume Profile:
High-volume nodes aligning with Fibonacci levels create robust support/resistance
Low-volume areas near Fibonacci levels may see rapid price movement through them
Fibonacci + Trendlines:
Fibonacci retracement level + ascending trendline = double support
Breaking both simultaneously confirms trend change
Technical Notes:
Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period
Implements dynamic line and label arrays for clean redraws without memory leaks
All calculations update in real-time as new bars form
Extension options allow customization without modifying core code
Format.mintick ensures price labels match the symbol's minimum price increment
Tooltip on swing markers shows exact price values for precision
Stochastic RSI - WT Confluence Signal Detectors (TraderDemircan)Description
What This Indicator Does:
This indicator combines two powerful momentum oscillators—WaveTrend and Stochastic RSI—to identify high-probability trading signals through confluence. Instead of relying on a single indicator that may generate false signals, this tool only triggers buy/sell alerts when both oscillators simultaneously confirm extreme market conditions and trend reversals. This confluence approach significantly reduces noise and helps traders focus on the most reliable setups.
Key Features:
Dual-Oscillator Confluence: Generates signals only when both WaveTrend crossovers and Stochastic RSI extreme levels align
Normalized Scale Display: Both oscillators are plotted on a unified -100 to +100 scale for easy visual comparison
Visual Signal Confirmation: Clear intersection points marked with colored circles, plus optional candle coloring at crossover moments
Customizable Thresholds: Adjust overbought/oversold levels for both oscillators to match your trading style and asset volatility
Clean Visual Presentation: Optional area fill showing WaveTrend momentum difference, making divergences easier to spot
How It Works:
The indicator operates on a confluence principle where multiple conditions must align:
For BUY Signals (Green):
WaveTrend 1 crosses above WaveTrend 2 (bullish crossover)
WaveTrend is in oversold territory (below -53 or -60)
Stochastic RSI K-line is below 20 (oversold)
For SELL Signals (Red):
WaveTrend 1 crosses below WaveTrend 2 (bearish crossover)
WaveTrend is in overbought territory (above 53 or 60)
Stochastic RSI K-line is above 80 (overbought)
WaveTrend Component:
Uses the hlc3 price (average of high, low, close) to calculate a channel index that identifies market momentum waves. The two WaveTrend lines (WT1 and WT2) act similarly to MACD, where crossovers indicate momentum shifts. The oscillator ranges from approximately -100 to +100, with extreme values suggesting potential reversals.
Stochastic RSI Component:
Applies stochastic calculations to RSI values rather than raw price, creating a more sensitive momentum indicator. Values above 80 indicate overbought conditions (potential selling opportunity), while values below 20 indicate oversold conditions (potential buying opportunity). The indicator includes both K-line (faster) and D-line (slower, smoothed) for additional confirmation.
Normalization Technology:
To enable direct visual comparison, the Stochastic RSI (normally 0-100 scale) is normalized to match WaveTrend's -100 to +100 scale. This allows traders to see both oscillators' movements in relation to the same reference levels, making divergences and convergences more apparent.
How to Use:
For Trend Traders:
Wait for confluence signals in the direction of the larger trend
Use buy signals in uptrends as entry points during pullbacks
Use sell signals in downtrends as entry points during bounces
For Reversal Traders:
Focus on confluence signals at major support/resistance levels
Look for divergences between price and oscillators before confluence signals
Consider stronger signals when both oscillators reach extreme levels (WT beyond ±60, Stoch beyond 20/80)
For Scalpers:
Lower the WaveTrend Channel Length (default 10) to 5-7 for more frequent signals
Tighten overbought/oversold thresholds slightly (e.g., WT: ±50, Stoch: 30/70)
Use on lower timeframes (5m, 15m) with strict stop losses
Settings Guide:
WaveTrend Parameters:
Channel Length (10): Controls sensitivity. Lower = more signals but more noise. Higher = fewer but more reliable signals
Average Length (21): Smoothing period for WT2. Higher values reduce whipsaws
Overbought Levels (60/53): Two-tier system. Breaching 60 indicates strong overbought, 53 is moderate
Oversold Levels (-60/-53): Mirror of overbought levels for downside extremes
Stochastic RSI Parameters:
K-Smooth (3): Smoothing for the K-line. Higher = smoother but delayed
D-Smooth (3): Additional smoothing for the D-line signal
RSI Period (14): Standard RSI calculation period
Stoch Period (14): Stochastic calculation lookback
Oversold (20) / Overbought (80): Classic thresholds for extreme conditions
Visual Options:
Show WT Difference Area: Displays the momentum difference between WT1 and WT2 as a blue shaded area
Show WT Intersection Points: Marks crossover points with colored circles (red for bearish, green for bullish)
Color Candles at Intersection: Changes candle colors at crossover moments (blue for bearish, yellow for bullish)
Show Stoch Over Signals: Displays when Stochastic RSI breaches extreme levels
What Makes This Original:
While WaveTrend and Stochastic RSI are established indicators, this script's originality lies in:
Confluence Logic: The specific combination requiring simultaneous confirmation from both oscillators in extreme zones, not just simple crossovers
Normalization Approach: Displaying both oscillators on the same -100 to +100 scale for direct visual comparison, which is not standard
Multi-Tier Overbought/Oversold: Using two levels (60/53) instead of one, allowing for nuanced signal strength assessment
Integrated Visual System: Combining area fills, intersection markers, and candle coloring in a coordinated display that shows momentum flow at a glance
Important Considerations:
This is a momentum-based oscillator system, which performs best in ranging or trending markets with clear swings
In strong trending markets, the oscillator may remain in extreme zones for extended periods (remain overbought during strong uptrends, oversold during strong downtrends)
Confluence signals are intentionally rare to maintain quality—expect fewer signals than with single-indicator systems
Always combine with price action analysis, support/resistance levels, and proper risk management
Not recommended for extremely low volatility or thin markets where oscillators may produce erratic readings
Best Timeframes:
Intraday: 15m, 1H (with tighter parameters)
Swing Trading: 4H, Daily (with default parameters)
Position Trading: Daily, Weekly (with extended Channel Length 15-20)
Typical Use Cases:
Identifying exhaustion points in trending markets
Timing entries during pullbacks in established trends
Spotting potential reversal zones at key price levels
Filtering out weak momentum signals during consolidation
DAO - Demand Advanced Oscillator# DAO - Demand Advanced Oscillator
## 📊 Overview
DAO (Demand Advanced Oscillator) is a powerful momentum oscillator that measures buying and selling pressure by analyzing consecutive high-low relationships. It helps identify market extremes, divergences, and potential trend reversals.
**Values range from 0 to 1:**
- **Above 0.70** = Overbought (potential reversal down)
- **Below 0.30** = Oversold (potential reversal up)
- **0.30 - 0.70** = Neutral zone
---
## ✨ Key Features
✅ **Automatic Divergence Detection**
- Bullish divergences (price lower low + DAO higher low)
- Bearish divergences (price higher high + DAO lower high)
- Visual lines connecting divergence points
✅ **Multi-Timeframe Analysis**
- View higher timeframe DAO on current chart
- Perfect for trend alignment strategies
✅ **Signal Line (EMA)**
- Customizable EMA for trend confirmation
- Crossover signals for momentum shifts
✅ **Real-Time Statistics Dashboard**
- Current DAO value
- Market status (Overbought/Oversold/Neutral)
- Trend direction indicator
✅ **Complete Alert System**
- Overbought/Oversold signals
- Bullish/Bearish divergences
- Signal line crosses
- Level crosses
✅ **Fully Customizable**
- Adjustable periods and levels
- Customizable colors and zones
- Toggle features on/off
---
## 📈 Trading Signals
### 1. Divergences (Most Powerful)
**Bullish Divergence:**
- Price makes lower low
- DAO makes higher low
- Signal: Strong reversal up likely
**Bearish Divergence:**
- Price makes higher high
- DAO makes lower high
- Signal: Strong reversal down likely
### 2. Overbought/Oversold
**Overbought (>0.70):**
- Market may be overextended
- Consider taking profits or looking for shorts
- Can remain overbought in strong trends
**Oversold (<0.30):**
- Market may be oversold
- Consider buying opportunities
- Can remain oversold in strong downtrends
### 3. Signal Line Crossovers
**Bullish Cross:**
- DAO crosses above signal line
- Momentum turning positive
**Bearish Cross:**
- DAO crosses below signal line
- Momentum turning negative
### 4. Level Crosses
**Cross Above 0.30:** Exiting oversold zone (potential uptrend)
**Cross Below 0.70:** Exiting overbought zone (potential downtrend)
---
## ⚙️ Default Settings
📊 Oscillator Period: 14
Number of bars for calculation
📈 Signal Line Period: 9
EMA period for signal line
🔴 Overbought Level: 0.70
Upper threshold
🟢 Oversold Level: 0.30
Lower threshold
🎯 Divergence Detection: ON
Auto divergence identification
⏰ Multi-Timeframe: OFF
Higher TF overlay (optional)
All parameters are fully customizable!
---
## 🔔 Alerts
Six pre-configured alerts available:
1. DAO Overbought
2. DAO Oversold
3. DAO Bullish Divergence
4. DAO Bearish Divergence
5. DAO Signal Cross Up
6. DAO Signal Cross Down
**Setup:** Right-click indicator → Add Alert → Choose condition
---
## 💡 How to Use
### Best Practices:
✅ Focus on divergences (strongest signals)
✅ Combine with support/resistance levels
✅ Use multiple timeframes for confirmation
✅ Wait for price action confirmation
✅ Practice proper risk management
### Avoid:
❌ Trading on indicator alone
❌ Fighting strong trends
❌ Ignoring market context
❌ Overtrading
### Recommended Settings by Trading Style:
**Day Trading:** Period 7-10, All alerts ON
**Swing Trading:** Period 14-21, Divergence alerts
**Scalping:** Period 5-7, Signal crosses
**Position Trading:** Period 21-30, Weekly/Daily TF
---
## 🌍 Markets & Timeframes
**Works on all markets:**
- Forex (all pairs)
- Stocks (all exchanges)
- Cryptocurrencies
- Commodities
- Indices
- Futures
**Works on all timeframes:** 1m to Monthly
---
## 📊 How It Works
DAO calculates the ratio of buying pressure to total market pressure:
1. **Calculate Buying Pressure (DemandMax):**
- If current high > previous high: DemandMax = difference
- Otherwise: DemandMax = 0
2. **Calculate Selling Pressure (DemandMin):**
- If previous low > current low: DemandMin = difference
- Otherwise: DemandMin = 0
3. **Apply Smoothing:**
- Calculate SMA of DemandMax over N periods
- Calculate SMA of DemandMin over N periods
4. **Final Formula:**
```
DAO = SMA(DemandMax) / (SMA(DemandMax) + SMA(DemandMin))
```
This produces a normalized value (0-1) representing market demand strength.
---
## 🎯 Trading Strategies
### Strategy 1: Divergence Trading
- Wait for divergence label
- Confirm at support/resistance
- Enter on confirming candle
- Stop loss beyond recent swing
- Target: opposite level or 0.50
### Strategy 2: Overbought/Oversold
- Best for ranging markets
- Wait for extreme readings
- Enter on reversal from extremes
- Target: middle line (0.50)
### Strategy 3: Trend Following
- Identify trend direction first
- Use DAO to time entries in trend direction only
- Enter on pullbacks to oversold (uptrend) or overbought (downtrend)
- Trade with the trend
### Strategy 4: Multi-Timeframe
- Enable MTF feature
- Trade only when both timeframes align
- Higher TF = trend direction
- Lower TF = precise entry
---
## 📂 Category
**Primary:** Oscillators
**Secondary:** Statistics, Volatility, Momentum
---
## 🏷️ Tags
dao, oscillator, momentum, overbought-oversold, divergence, reversal, demand-indicator, price-exhaustion, statistics, volatility, forex, stocks, crypto, multi-timeframe, technical-analysis
---
## ⚠️ Disclaimer
**This indicator is for educational purposes only.** It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research, use proper risk management, and consult with financial professionals before making trading decisions. Past performance does not guarantee future results.
---
## 📄 License
Open source - Free to use for personal trading, modify as needed, and share with attribution.
---
**Version:** 1.0
**Status:** Production Ready ✅
**Pine Script:** v5
**Trademark-Free:** 100% Safe to Publish
---
*Made with 💙 for traders worldwide*
DAYOFWEEK performance1 -Objective
"What is the ''best'' day to trade .. Monday, Tuesday...."
This script aims to determine if there are different results depending on the day of the week.
The way it works is by dividing data by day of the week (Monday, Tuesday, Wednesday ... ) and perform calculations for each day of the week.
1 - Objective
2 - Features
3 - How to use (Examples)
4 - Inputs
5 - Limitations
6 - Notes
7 - Final Tooughs
2 - Features
AVG OPEN-CLOSE
Calculate de Percentage change from day open to close
Green % (O-C)
Percentage of days green (open to close)
Average Change
Absolute day change (O-C)
AVG PrevD. Close-Close
Percentage change from the previous day close to the day of the week close
(Example: Monday (C-C) = Friday Close to Monday close
Tuesday (C-C) = Monday C. to Tuesday C.
Green % (C1-C)
Percentage of days green (open to close)
AVG Volume
Day of the week Average Volume
Notes:
*Mon(Nº) - Nº = Number days is currently calculated
Example: Monday (12) calculation based on the last 12 Mondays. Note: Discrepancies in numbers example Monday (12) - Friday (11) depend on the initial/end date or the market was closed (Holidays).
3 - How to use (Examples)
For the following example, NASDAQ:AAPL from 1 Jan 21 to 1 Jul 21 the results are following.
The highest probability of a Close being higher than the Open is Monday with 52.17 % and the Lowest Tuesday with 38.46 %. Meaning that there's a higher chance (for NASDAQ:AAPL ) of closing at a higher value on Monday while the highest chance of closing is lower is Tuesday. With an average gain on Tuesday of 0.21%
Long - The best day to buy (long) at open (on average) is Monday with a 52.2% probability of closing higher
Short - The best day to sell (short) at open (on average) is Tuesday with a 38.5% probability of closing higher (better chance of closing lower)
Since the values change from ticker to ticker, there is a substantial change in the percentages and days of the week. For example let's compare the previous example ( NASDAQ:AAPL ) to NYSE:GM (same settings)
For the same period, there is a substantial difference where there is a 62.5% probability Friday to close higher than the open, while Tuesday there is only a 28% probability.
With an average gain of 0.59% on Friday and an average loss of -0.34%
Also, the size of the table (number of days ) depends if the ticker is traded or not on that day as an example COINBASE:BTCUSD
4 - Inputs
DATE RANGE
Initial Date - Date from which the script will start the calculation.
End Date - Date to which the script will calculate.
TABLE SETTINGS
Text Color - Color of the displayed text
Cell Color - Background color of table cells
Header Color - Color of the column and row names
Table Location - Change the position where the table is located.
Table Size - Changes text size and by consequence the size of the table
5 - LIMITATIONS
The code determines average values based on the stored data, therefore, the range (Initial data) is limited to the first bar time.
As a consequence the lower the timeframe the shorter the initial date can be and fewer weeks can be calculated. To warn about this limitation there's a warning text that appears in case the initial date exceeds the bar limit.
Example with initial date 1 Jan 2021 and end date 18 Jul 2021 in 5m and 10 m timeframe:
6 - Notes and Disclosers
The script can be moved around to a new pane if need. -> Object Tree > Right Click Script > Move To > New pane
The code has not been tested in higher subscriptions tiers that allow for more bars and as a consequence more data, but as far I can tell, it should work without problems and should be in fact better at lower timeframes since it allows more weeks.
The values displayed represent previous data and at no point is guaranteed future values
7 - Final Tooughs
This script was quite fun to work on since it analysis behavioral patterns (since from an abstract point a Tuesday is no different than a Thursday), but after analyzing multiple tickers there are some days that tend to close higher than the open.
PS: If you find any mistake ex: code/misspelling please comment.
Nick_OS RangesUNDERSTANDING THE SCRIPT:
TIMEFRAME RESOLUTION:
* You have the option to choose Daily , Weekly , or Monthly
LOOKBACK WINDOW:
* This number represents how far back you want the data to pull from
- Example: "250" would represent the past 250 Days, Weeks, or Months depending on what is selected in the Timeframe Resolution
RANGE 1 nth (Gray lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "30" would represent the range of the 30th biggest day in the past 250 days. (If the Lookback Window is "250")
RANGE 2 nth (Blue lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "10" would represent the range of the 10th biggest day in the past 250 days. (If the Lookback Window is "250")
RANGE 3 nth (Pink lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "3" would represent the range of the 3rd biggest day in the past 250 days. (If the Lookback Window is "250")
YELLOW LINES:
* The yellow lines are the average percentage move of the inputted number in the Lookback Window
SUGGESTED INPUTS:
FOR DAILY:
Lookback Window: 250
Range 1 nth: 30
Range 2 nth: 10
Range 3 nth: 3
FOR WEEKLY:
Lookback Window: 50
Range 1 nth: 10
Range 2 nth: 5
Range 3 nth: 2
FOR MONTHLY:
Lookback Window: 12
Range 1 nth: 3
Range 2 nth: 2
Range 3 nth: 1
TIMEFRAMES TO USE (If You Have TradingView Premium):
Daily: 5 minute timeframe and higher (15 minute timeframe and higher for Futures)
Weekly: 15 minute timeframe and higher
Monthly: Daily timeframe and higher (Monthly still has issues)
TIMEFRAMES TO USE (If You DO NOT Have TradingView Premium):
Daily: 15 minute timeframe and higher
Weekly: 30 minute timeframe and higher
Monthly: Daily timeframe and higher (Monthly still has issues)
IMPORTANT RELATED NOTE:
If you decide to use a higher Lookback Window, the ranges might be off and the timeframes listed above might not apply
ISSUES THAT MIGHT BE RESOLVED IN THE FUTURE
1. If it is a shortened week (No Monday or Friday), then the Weekly Ranges will show the same ranges as last week
2. Monthly ranges will change based on any timeframe used
RRG Sector Snapshot RRG Sector Snapshot · Clear UI — User Guide
What this indicator does
Purpose: Visualize sector rotation by comparing each sector’s Relative Strength (RS-Ratio) and RS-Momentum versus a benchmark (e.g., VNINDEX).
Output: A quadrant map (table overlay) that positions each sector into one of four regimes:
LEADING (top-right): Strong and accelerating — leadership zone.
WEAKENING (bottom-right): Strong but decelerating — may be topping or consolidating.
LAGGING (bottom-left): Weak and decelerating — avoid unless mean-reverting.
IMPROVING (top-left): Weak but accelerating — candidates for next rotation into leadership.
How it works (under the hood)
X-axis (Strength): RS-Ratio = Sector Close / Benchmark Close, then normalized with a Z-Score over a lookback (normLen).
Y-axis (Momentum): Linear-regression slope of RS-Ratio over rsLen, then normalized with a Z-Score (normLen).
Mapping to grid: Both axes are Z-Scores scaled to a square grid (rrgSize × rrgSize) using a zoom factor (rrgScale). The center is neutral (0,0). Momentum increases upward (Y=0 is the top row in the table).
Quick start (3 minutes)
Add to chart:
TradingView → Pine Editor → paste the script → Save → Add to chart.
Set a benchmark: In inputs, choose Benchmark (X axis) — default INDEX:VNINDEX. Use VN30 or another index if it better reflects your universe.
Load sectors: Fill S1..S10 with sector or index symbols you track (up to 10). Set Slots to Use to the number you actually use.
Adjust view:
rrgSize (grid cells): 18–24 is a good starting point.
rrgScale (zoom): 2.5–3.5 typically; decrease to “zoom out” (points cluster near center), increase to “zoom in” (points spread to edges).
Read the map:
Prioritize sectors in LEADING; shortlist sectors in IMPROVING (could rotate into LEADING).
WEAKENING often marks late-cycle strength; LAGGING is typically avoid.
Inputs — what they do and how to change them
General
Analysis TF: Timeframe used to compute RRG (can be different from chart’s TF). Daily for swing, 1H/4H for tactical rotation, Weekly for macro view.
Benchmark (X axis): The index used for RS baseline (e.g., INDEX:VNINDEX, INDEX:VN30, major ETFs, or a custom composite).
RRG Calculation
RS Lookback (rsLen): Bars used for slope of RS (momentum).
Daily: 30–60 (default 40)
Intraday (1H/4H): 20–40
Weekly: 26–52
Normalization Lookback (Z-Score) (normLen): Window for Z-Score on both axes.
Daily: 80–120 (default 100)
Intraday: 40–80
Weekly: 52–104
Tip: Shorter lookbacks = more responsive but noisier; longer = smoother but slower.
RRG HUD (Table)
Show RRG Snapshot (rrgEnable): Toggle the table on/off.
Position (rrgPos): top_right | top_left | bottom_right | bottom_left.
Grid Size (Cells) (rrgSize): Table dimensions (N×N). Larger = more resolution but takes more space.
Z-Scale (Zoom) (rrgScale): Maps Z-Scores to the grid.
Smaller (2.0–2.5): Zoom out (more points near center).
Larger (3.5–4.0): Zoom in (emphasize outliers).
Appearance
Tag length (tagLen): Characters per sector tag. Use 4–6 for clarity.
Text size (textSizeOp): Tiny | Small | Normal | Large. Use Large for presentation screens or dense lists.
Axis thickness (axisThick): 1 = thin axis; 2 = thicker double-strip axis.
Quadrant alpha (bgAlpha): Transparency of quadrant backgrounds. 80–90 makes text pop.
Sectors (Max 10)
Slots to Use (sectorSlots): How many sector slots are active (≤10).
S1..S10: Each slot is a symbol (index, sector index, or ETF). Replace defaults to fit your market/universe.
How to interpret the map
Quadrants:
Leading (top-right): Relative strength above average and improving — trend-follow candidates.
Weakening (bottom-right): Still strong but momentum cooling — watch for distribution or pauses.
Lagging (bottom-left): Underperforming and still losing momentum — avoid unless doing mean-reversion.
Improving (top-left): Early recovery — candidates to transition into Leading if the move persists.
Overlapping sectors in one cell: The indicator shows “TAG +n” where TAG is the first tag, +n is the number of additional sectors sharing that cell. If many overlap:
Increase rrgSize, or
Decrease rrgScale to zoom out, or
Reduce Slots to Use to a smaller selection.
Suggested workflows
Daily swing
Benchmark: VNINDEX or VN30
rsLen 40–60, normLen 100–120, rrgSize 18–24, rrgScale 2.5–3.5
Routine:
Identify Leading sectors (top-right).
Spot Improving sectors near the midline moving toward top-right.
Confirm with price/volume/breakout on sector charts or top components.
Intraday (1H/4H) tactical
rsLen 20–40, normLen 60–100, rrgScale 2.0–3.0
Expect faster rotations and more noise; tighten filters with your own entry rules.
Weekly (macro rotation)
rsLen 26–52, normLen 52–104, rrgScale 3.0–4.0
Great for portfolio tilts and sector allocation.
Tuning tips
If everything clusters near center: Increase rrgScale (zoom in) or reduce normLen (more contrast).
If points are too spread: Decrease rrgScale (zoom out) or increase normLen (smoother normalization).
If the table is too big/small: Change rrgSize (cells).
If tags are hard to read: Increase textSizeOp to Large, tagLen to 5–6, and consider bgAlpha ~80–85.
Troubleshooting
No table on chart:
Ensure Show RRG Snapshot is enabled.
Change Position to a different corner.
Reduce Grid Size if the table exceeds the chart area.
Many sectors “missing”:
They’re likely overlapping in the same cell; the cell will show “TAG +n”.
Increase rrgSize, decrease rrgScale, or reduce Slots to Use.
Early bars show nothing:
You need enough data for rsLen and normLen. Scroll back or reduce lookbacks temporarily.
Best practices
Use RRG for context and rotation scouting, then confirm with your execution tools (trend structure, breakouts, volume, risk metrics).
Benchmark selection matters. If most of your watchlist tracks VN30, use INDEX:VN30 as the benchmark to get a truer relative read.
Revisit settings per timeframe. Intraday needs more responsiveness (shorter lookbacks, smaller Z-Scale); weekly needs stability (longer lookbacks, larger Z-Scale).
FAQ
Can I use ETFs or custom indices as sectors? Yes. Any symbol supported by TradingView works.
Can I track individual stocks instead of sectors? Yes (up to 10); just replace the S1..S10 symbols.
Why Z-Score? It standardizes each axis to “how unusual” the value is versus its own history — more robust than raw ratios across different scales.
[ i]
How to Set Up (Your Market Template)
This is the most important part for customizing the indicator to any market.
Step 1: Choose Your TF & Benchmark
Open the indicator's Settings.
Analysis TF: Set the timeframe you want to analyze (e.g., D for medium-term, W for long-term).
Benchmark (Trục X): This is the index you want to compare against.
Vietnamese Market: Leave the default INDEX:VNINDEX.
US Market: Change to SP:SPX or NASDAQ:NDX.
Crypto Market: Change to TOTAL (entire market cap) or BTC.D (Bitcoin Dominance).
Step 2: Input Your "Universe" (The 10 Slots)
This is where you decide what to track. You have 10 slots (S1 to S10).
For Vietnamese Sectors (Default):
Leave the default sector codes like INDEX:VNFINLEAD (Finance), INDEX:VNREAL (Real Estate), INDEX:VNIND (Industry), etc.
Template for Crypto "Sectors":
S1: BTC.D
S2: ETH.D
S3: TOTAL2 (Altcoin Market Cap)
S4: TOTAL.DEFI (DeFi)
S5: CRYPTOCAP:GAME (GameFi)
...and so on.
Template for Blue Chip Stocks:
Benchmark: INDEX:VN30
S1: HOSE:FPT
S2: HOSE:VCB
S3: HOSE:HPG
S4: HOSE:MWG
...and so on.
Template for Commodities:
Benchmark: TVC:DXY (US Dollar Index)
S1: TVC:GOLD
S2: TVC:USOIL
S3: TVC:SILVER
S4: COMEX:HG1! (Copper)
...and so on.
Step 3: Fine-Tuning
RS Lookback: A larger number (e.g., 100) gives a smoother, long-term view. A smaller number (e.g., 20) is more sensitive to short-term changes.
Z-Scale (Zoom): This is the "magnification" of the map.
If all your sectors are crowded in the middle, increase this number (e.g., 4.0) to "zoom in."
If your sectors are stuck on the edges, decrease this number (e.g., 2.0) to "zoom out."
Tag length: How many letters to display for the ticker (e.g., 4 will show VNFI).
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool
Automatically composite multiple time periods to identify key areas of balance and market structure
What is the Composite Time Profile Overlay?
The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance.
The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action.
Why Use CTPO for Market Profile Trading?
Eliminate Manual Compositing Work
Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period.
Spot Areas of Balance Quickly
The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods.
Focus on What Matters
Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold.
How CTPO Works for Market Profile Traders
Automatic Profile Compositing
CTPO uses a proprietary algorithm that:
- Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection)
- Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation
- Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required)
- Updates composite levels as new price action develops in real-time
Key Levels for Market Profile Analysis
The indicator displays:
- Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data
- Point of Control (POC) levels where most trading occurred across all composited periods
- Composite zones representing areas of balance with configurable transparency
- 1.618 Fibonacci extensions for breakout targets based on composite range
Multiple Timeframe Support
- Sessions: For intraday market profile analysis
- Daily: For swing trading with daily profiles
- Weekly: For position trading with weekly structure
- Monthly: For long-term market profile analysis
- Auto: Automatically selects timeframe based on your chart
Trading Applications for Market Profile Users
Support and Resistance Trading
Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes.
Breakout Trading
When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades.
Mean Reversion Strategies
Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean.
Institutional Level Analysis
Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity.
Key Features for Market Profile Traders
Smart Compositing Logic
- Automatic overlap detection using price range intersection algorithms
- Configurable overlap thresholds (minimum 50% overlap required for merging)
- Dead composite identification (profiles that become engulfed by newer composites)
- Real-time updates as new price action develops using barstate.islast optimization
Visual Customization
- Customizable colors for active, broken, and dead composites
- Adjustable transparency levels for each composite state
- Premium/Discount zone highlighting based on current price vs composite range
- TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure
- Fibonacci level extensions with 1.618 target calculations based on composite range
Clean Chart Presentation
- Only shows the most relevant composite levels (maximum 10 active composites)
- Eliminates clutter from individual session profiles
- Focuses on areas of balance that matter most to current price action
Real-World Trading Examples
Day Trading with Session Composites
Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies.
Swing Trading with Daily Composites
Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets.
Position Trading with Weekly Composites
Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years.
Risk Management
Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions.
Why Composite Levels Work
Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies.
The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels.
Technical Foundation
The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations.
How the Code Actually Works
1. Period Detection and ATR Calculation
The code first determines the appropriate timeframe based on your chart:
- 1m-5m charts: Session-based profiles
- 15m-2h charts: Daily profiles
- 4h charts: Weekly profiles
- 1D charts: Monthly profiles
For each period type, it calculates the number of bars needed for ATR calculation:
- Sessions: 540 minutes divided by chart timeframe
- Daily: 1440 minutes divided by chart timeframe
- Weekly: 7 days worth of minutes divided by chart timeframe
- Monthly: 30 days worth of minutes divided by chart timeframe
2. C2M Row Size Calculation
The code calculates True Range for each bar in the determined period:
- True Range = max(high-low, |high-prevClose|, |low-prevClose|)
- Averages all True Range values to get ATR
- Row Size = (ATR / 10) converted to tick size
- This ensures each TPO row represents a meaningful price movement
3. TPO Profile Generation
For each period, the code:
- Creates price levels from lowest to highest price in the range
- Each level is separated by the calculated row size
- Counts how many bars touch each price level (TPO count)
- Finds the level with highest count = Point of Control (POC)
- Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included
4. Overlap Detection Algorithm
When a new profile is created, the code checks if it overlaps with existing composites:
- Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL)
- Calculates current profile range = currentVAH - currentVAL
- Overlap percentage = (overlap range / current profile range) * 100
- If overlap >= 50%, profiles are merged into a composite
5. Composite Merging Logic
When profiles overlap, the code creates a new composite by:
- Taking the earliest start bar and latest end bar
- Using the wider VAH/VAL range (max of both profiles)
- Keeping the POC from the profile with more TPO blocks
- Marking the composite as "active" until price breaks through
6. Real-Time Updates
The code uses barstate.islast to optimize performance:
- Only recalculates on the last bar of each period
- Updates active composite with live price action if enabled
- Cleans up old composites to prevent memory issues
- Redraws all visual elements from scratch each bar
7. Visual Rendering System
The code uses arrays to manage drawing objects:
- Clears all lines/boxes arrays on every bar
- Iterates through composites array to redraw everything
- Uses different colors for active, broken, and dead composites
- Calculates 1.618 Fibonacci extensions for broken composites
Getting Started with CTPO
Step 1: Choose Your Timeframe
Select the period type that matches your trading style:
- Use "Sessions" for day trading
- Use "Daily" for swing trading
- Use "Weekly" for position trading
- Use "Auto" to let the indicator choose based on your chart timeframe
Step 2: Customize the Display
Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis.
Step 3: Identify Key Levels
Look for:
- Composite zones (blue boxes) - major areas of balance
- VAH/VAL lines - value area boundaries
- POC lines - areas of highest trading activity
- 1.618 extension lines - breakout targets
Step 4: Develop Your Strategy
Use these levels to:
- Set entry points near composite zones
- Place stop losses beyond composite levels
- Take profits at 1.618 extension levels
- Identify trend changes when major composites break
Perfect for Market Profile Traders
If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most.
The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed.
Streamline Your Market Profile Analysis
Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter.
Ready to Streamline Your Market Profile Trading?
Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
Volume Flow RatioVolume Flow Ratio (VFR) Indicator
Overview
The Volume Flow Ratio (VFR) is a sophisticated volume analysis tool that measures current trading volume relative to the maximum volume of the previous period. Unlike traditional volume indicators that show raw volume or simple moving averages, VFR provides context by comparing current activity to recent maximum activity levels.
Core Features
1. Split Period Analysis
- Multiple Timeframe Options:
- Daily: Compares to previous day's maximum
- Weekly: Week-to-week comparison
- NYSE Weekly: Specialized for stock market trading (Monday-Friday only)
- Monthly: Month-to-month analysis
- Quarterly: Quarter-to-quarter perspective
- Yearly: Year-over-year volume comparison
2. Ratio-Based Measurement
- Displays volume as a ratio (0 to 1+) rather than raw numbers
- 1.0 represents volume equal to previous period's maximum
- Example: If previous max was 50,000 contracts:
- Current volume of 25,000 shows as 0.5
- Current volume of 75,000 shows as 1.5
3. Triple Coloring Modes
- Moving Average Based:
- Compares current ratio to its moving average
- Customizable MA period
- Green: Above MA (higher than average activity)
- Red: Below MA (lower than average activity)
- Previous Candle Comparison:
- Simple increase/decrease from previous bar
- Green: Higher than previous bar
- Red: Lower than previous bar
- Candle Color Based:
- Syncs with price action
- Green: Bullish candles (close > open)
- Red: Bearish candles (close < open)
Primary Use Cases
1. Volume Profile Analysis
- Perfect for traders who need to understand when markets are most active
- Helps identify unusual volume spikes relative to recent history
- Useful for timing entries and exits based on market participation
2. Market Activity Traders
Ideal for traders who:
- Need to identify high-liquidity periods
- Want to avoid low-volume periods
- Look for volume breakouts or divergences
- Trade based on institutional participation levels
3. Mean Reversion Traders
Helps identify:
- Overextended volume conditions (potential reversals)
- Volume exhaustion points
- Return to normal volume levels after spikes
4. Momentum Traders
Useful for:
- Confirming trend strength through volume
- Identifying potential trend exhaustion
- Validating breakouts with volume confirmation
Advantages Over Traditional Volume Indicators
1. Contextual Analysis
- Shows relative strength rather than raw numbers
- Easier to compare across different time periods
- Automatically adjusts to changing market conditions
2. Period-Specific Insights
- Respects natural market cycles (daily, weekly, monthly)
- Special handling for NYSE trading days
- Eliminates weekend noise in stock market analysis
3. Flexible Visualization
- Three distinct coloring methods for different trading styles
- Clear reference line at 1.0 for quick analysis
- Histogram style for easy pattern recognition
Best Practices
For Day Traders
- Use Daily split for intraday volume patterns
- MA coloring mode with shorter periods (5-10)
- Focus on ratios during market hours
For Swing Traders
- Weekly or NYSE Weekly splits
- Longer MA periods (15-20)
- Look for sustained volume patterns
For Position Traders
- Monthly or Quarterly splits
- Candle color mode for trend confirmation
- Focus on major volume shifts
Limitations
- Requires one full period to establish baseline
- May be less effective in extremely low volume conditions
- NYSE Weekly mode specific to stock market hours
This indicator is particularly valuable for traders who understand that volume is a crucial component of price action but need a more sophisticated way to analyze it than simple volume bars. It's especially useful for those who trade based on market participation levels and need to quickly identify whether current volume is significant relative to recent history.
Hellenic EMA Matrix - Α Ω PremiumHellenic EMA Matrix - Alpha Omega Premium
Complete User Guide
Table of Contents
Introduction
Indicator Philosophy
Mathematical Constants
EMA Types
Settings
Trading Signals
Visualization
Usage Strategies
FAQ
Introduction
Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market.
Key Features:
6 EMA types based on mathematical constants
Premium visualization with Neon Glow and Gradient Clouds
Automatic Fast/Mid/Slow EMA sorting
STRONG signals for powerful trends
Pulsing Ribbon Bar for instant trend assessment
Works on all timeframes (M1 - MN)
Indicator Philosophy
Why Mathematical Constants?
Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature:
Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions
Pi (3.14159) - Pi: circles, waves, cycles
e (2.71828) - Natural logarithm base: exponential growth, radioactive decay
Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles.
Mathematical Constants
Phi (Phi) - Golden Ratio
Phi = 1.618033988749895
Properties:
Phi² = Phi + 1 = 2.618
Phi³ = 4.236
Phi⁴ = 6.854
Application: Ideal for trending movements and Fibonacci corrections
Pi (Pi) - Pi Number
Pi = 3.141592653589793
Properties:
2Pi = 6.283 (full circle)
3Pi = 9.425
4Pi = 12.566
Application: Excellent for cyclical markets and wave structures
e (Euler) - Euler's Number
e = 2.718281828459045
Properties:
e² = 7.389
e³ = 20.085
e⁴ = 54.598
Application: Suitable for exponential movements and volatile markets
EMA Types
1. Phi (Phi) - Golden Ratio EMA
Description: EMA based on the golden ratio
Period Formula:
Period = Phi^n × Base Multiplier
Parameters:
Phi Power Level (1-8): Power of Phi
Phi¹ = 1.618 → ~16 period (with Base=10)
Phi² = 2.618 → ~26 period
Phi³ = 4.236 → ~42 period (recommended)
Phi⁴ = 6.854 → ~69 period
Recommendations:
Phi² or Phi³ for day trading
Phi⁴ or Phi⁵ for swing trading
Works excellently as Fast EMA
2. Pi (Pi) - Circular EMA
Description: EMA based on Pi for cyclical movements
Period Formula:
Period = Pi × Multiple × Base Multiplier
Parameters:
Pi Multiple (1-10): Pi multiplier
1Pi = 3.14 → ~31 period (with Base=10)
2Pi = 6.28 → ~63 period (recommended)
3Pi = 9.42 → ~94 period
Recommendations:
2Pi ideal as Mid or Slow EMA
Excellently identifies cycles and waves
Use on volatile markets (crypto, forex)
3. e (Euler) - Natural EMA
Description: EMA based on natural logarithm
Period Formula:
Period = e^n × Base Multiplier
Parameters:
e Power Level (1-6): Power of e
e¹ = 2.718 → ~27 period (with Base=10)
e² = 7.389 → ~74 period (recommended)
e³ = 20.085 → ~201 period
Recommendations:
e² works excellently as Slow EMA
Ideal for stocks and indices
Filters noise well on lower timeframes
4. Delta (Delta) - Adaptive EMA
Description: Adaptive EMA that changes period based on volatility
Period Formula:
Period = Base Period × (1 + (Volatility - 1) × Factor)
Parameters:
Delta Base Period (5-200): Base period (default 20)
Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0)
How it works:
During low volatility → period decreases → EMA reacts faster
During high volatility → period increases → EMA smooths noise
Recommendations:
Works excellently on news and sharp movements
Use as Fast EMA for quick adaptation
Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks
5. Sigma (Sigma) - Composite EMA
Description: Composite EMA combining multiple active EMAs
Composition Methods:
Weighted Average (default):
Sigma = (Phi + Pi + e + Delta) / 4
Simple average of all active EMAs
Geometric Mean:
Sigma = fourth_root(Phi × Pi × e × Delta)
Geometric mean (more conservative)
Harmonic Mean:
Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta)
Harmonic mean (more weight to smaller values)
Recommendations:
Enable for additional confirmation
Use as Mid EMA
Weighted Average - most universal method
6. Lambda (Lambda) - Wave EMA
Description: Wave EMA with sinusoidal period modulation
Period Formula:
Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency))
Parameters:
Lambda Base Period (10-200): Base period
Lambda Wave Amplitude (0.1-2.0): Wave amplitude
Lambda Wave Frequency (10-200): Wave frequency in bars
How it works:
Period pulsates sinusoidally
Creates wave effect following market cycles
Recommendations:
Experimental EMA for advanced users
Works well on cyclical markets
Frequency = 50 for day trading, 100+ for swing
Settings
Matrix Core Settings
Base Multiplier (1-100)
Multiplies all EMA periods
Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7)
Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74)
Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148)
Recommendations by timeframe:
M1-M5: Base = 5-10
M15-H1: Base = 10-15 (recommended)
H4-D1: Base = 15-25
W1-MN: Base = 25-50
Matrix Source
Data source selection for EMA calculation:
close - closing price (standard)
open - opening price
high - high
low - low
hl2 - (high + low) / 2
hlc3 - (high + low + close) / 3
ohlc4 - (open + high + low + close) / 4
When to change:
hlc3 or ohlc4 for smoother signals
high for aggressive longs
low for aggressive shorts
Manual EMA Selection
Critically important setting! Determines which EMAs are used for signal generation.
Use Manual Fast/Slow/Mid Selection
Enabled (default): You select EMAs manually
Disabled: Automatic selection by periods
Fast EMA
Fast EMA - reacts first to price changes
Recommendations:
Phi Golden (recommended) - universal choice
Delta Adaptive - for volatile markets
Must be fastest (smallest period)
Slow EMA
Slow EMA - determines main trend
Recommendations:
Pi Circular (recommended) - excellent trend filter
e Natural - for smoother trend
Must be slowest (largest period)
Mid EMA
Mid EMA - additional signal filter
Recommendations:
e Natural (recommended) - excellent middle level
Pi Circular - alternative
None - for more frequent signals (only 2 EMAs)
IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods:
Fast = EMA with smallest period
Mid = EMA with middle period
Slow = EMA with largest period
Therefore, you can select any combination - the indicator will arrange them correctly!
Premium Visualization
Neon Glow
Enable Neon Glow for EMAs - adds glowing effect around EMA lines
Glow Strength:
Light - subtle glow
Medium (recommended) - optimal balance
Strong - bright glow (may be too bright)
Effect: 2 glow layers around each EMA for 3D effect
Gradient Clouds
Enable Gradient Clouds - fills space between EMAs with gradient
Parameters:
Cloud Transparency (85-98): Cloud transparency
95-97 (recommended)
Higher = more transparent
Dynamic Cloud Intensity - automatically changes transparency based on EMA distance
Cloud Colors:
Phi-Pi Cloud:
Blue - when Pi above Phi (bullish)
Gold - when Phi above Pi (bearish)
Pi-e Cloud:
Green - when e above Pi (bullish)
Blue - when Pi above e (bearish)
2 layers for volumetric effect
Pulsing Ribbon Bar
Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart
Parameters:
Ribbon Position: Top / Bottom (recommended)
Pulse Speed: Slow / Medium (recommended) / Fast
Symbols and colors:
Green filled square - STRONG BULLISH
Pink filled square - STRONG BEARISH
Blue hollow square - Bullish (regular)
Red hollow square - Bearish (regular)
Purple rectangle - Neutral
Effect: Pulsation with sinusoid for living market feel
Signal Bar Highlights
Enable Signal Bar Highlights - highlights bars with signals
Parameters:
Highlight Transparency (88-96): Highlight transparency
Highlight Style:
Light Fill (recommended) - bar background fill
Thin Line - bar outline only
Highlights:
Golden Cross - green
Death Cross - pink
STRONG BUY - green
STRONG SELL - pink
Show Greek Labels
Shows Greek alphabet letters on last bar:
Phi - Phi EMA (gold)
Pi - Pi EMA (blue)
e - Euler EMA (green)
Delta - Delta EMA (purple)
Sigma - Sigma EMA (pink)
When to use: For education or presentations
Show Old Background
Old background style (not recommended):
Green background - STRONG BULLISH
Pink background - STRONG BEARISH
Blue background - Bullish
Red background - Bearish
Not recommended - use new Gradient Clouds and Pulsing Bar
Info Table
Show Info Table - table with indicator information
Parameters:
Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right
Size: Tiny / Small (recommended) / Normal / Large
Table contents:
EMA list - periods and current values of all active EMAs
Effects - active visual effects
TREND - current trend state:
STRONG UP - strong bullish
STRONG DOWN - strong bearish
Bullish - regular bullish
Bearish - regular bearish
Neutral - neutral
Momentum % - percentage deviation of price from Fast EMA
Setup - current Fast/Slow/Mid configuration
Trading Signals
Show Golden/Death Cross
Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal)
Symbols:
Yellow dot "GC" below - Golden Cross
Dark red dot "DC" above - Death Cross
Show STRONG Signals
STRONG BUY and STRONG SELL - the most powerful indicator signals
Conditions for STRONG BULLISH:
EMA Alignment: Fast > Mid > Slow (all EMAs aligned)
Trend: Fast > Slow (clear uptrend)
Distance: EMAs separated by minimum 0.15%
Price Position: Price above Fast EMA
Fast Slope: Fast EMA rising
Slow Slope: Slow EMA rising
Mid Trending: Mid EMA also rising (if enabled)
Conditions for STRONG BEARISH:
Same but in reverse
Visual display:
Green label "STRONG BUY" below bar
Pink label "STRONG SELL" above bar
Difference from Golden/Death Cross:
Golden/Death Cross = crossing moment (1 bar)
STRONG signal = sustained trend (lasts several bars)
IMPORTANT: After fixes, STRONG signals now:
Work on all timeframes (M1 to MN)
Don't break on small retracements
Work with any Fast/Mid/Slow combination
Automatically adapt thanks to EMA sorting
Show Stop Loss/Take Profit
Automatic SL/TP level calculation on STRONG signal
Parameters:
Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss
1.5 (recommended) - standard
1.0 - tight stop
2.0-3.0 - wide stop
Take Profit R:R (1.0-5.0): Risk/reward ratio
2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR)
1.5 - conservative
3.0-5.0 - aggressive
Formulas:
LONG:
Stop Loss = Entry - (ATR × Stop Loss ATR)
Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R)
SHORT:
Stop Loss = Entry + (ATR × Stop Loss ATR)
Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R)
Visualization:
Red X - Stop Loss
Green X - Take Profit
Levels remain active while STRONG signal persists
Trading Signals
Signal Types
1. Golden Cross
Description: Fast EMA crosses Slow EMA from below
Signal: Beginning of bullish trend
How to trade:
ENTRY: On bar close with Golden Cross
STOP: Below local low or below Slow EMA
TARGET: Next resistance level or 2:1 R:R
Strengths:
Simple and clear
Works well on trending markets
Clear entry point
Weaknesses:
Lags (signal after movement starts)
Many false signals in ranging markets
May be late on fast moves
Optimal timeframes: H1, H4, D1
2. Death Cross
Description: Fast EMA crosses Slow EMA from above
Signal: Beginning of bearish trend
How to trade:
ENTRY: On bar close with Death Cross
STOP: Above local high or above Slow EMA
TARGET: Next support level or 2:1 R:R
Application: Mirror of Golden Cross
3. STRONG BUY
Description: All EMAs aligned + trend + all EMAs rising
Signal: Powerful bullish trend
How to trade:
ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA
STOP: Below Fast EMA or automatic SL (if enabled)
TARGET: Automatic TP (if enabled) or by levels
TRAILING: Follow Fast EMA
Entry strategies:
Aggressive: Enter immediately on signal
Conservative: Wait for pullback to Fast EMA, then enter on bounce
Pyramiding: Add positions on pullbacks to Mid EMA
Position management:
Hold while STRONG signal active
Exit on STRONG SELL or Death Cross appearance
Move stop behind Fast EMA
Strengths:
Most reliable indicator signal
Doesn't break on pullbacks
Catches large moves
Works on all timeframes
Weaknesses:
Appears less frequently than other signals
Requires confirmation (multiple conditions)
Optimal timeframes: All (M5 - D1)
4. STRONG SELL
Description: All EMAs aligned down + downtrend + all EMAs falling
Signal: Powerful bearish trend
How to trade: Mirror of STRONG BUY
Visual Signals
Pulsing Ribbon Bar
Quick market assessment at a glance:
Symbol Color State
Filled square Green STRONG BULLISH
Filled square Pink STRONG BEARISH
Hollow square Blue Bullish
Hollow square Red Bearish
Rectangle Purple Neutral
Pulsation: Sinusoidal, creates living effect
Signal Bar Highlights
Bars with signals are highlighted:
Green highlight: STRONG BUY or Golden Cross
Pink highlight: STRONG SELL or Death Cross
Gradient Clouds
Colored space between EMAs shows trend strength:
Wide clouds - strong trend
Narrow clouds - weak trend or consolidation
Color change - trend change
Info Table
Quick reference in corner:
TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN)
Momentum %: Movement strength
Effects: Active visual effects
Setup: Fast/Slow/Mid configuration
Usage Strategies
Strategy 1: "Golden Trailing"
Idea: Follow STRONG signals using Fast EMA as trailing stop
Settings:
Fast: Phi Golden (Phi³)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base Multiplier: 10
Timeframe: H1, H4
Entry rules:
Wait for STRONG BUY
Enter on bar close or on pullback to Fast EMA
Stop below Fast EMA
Management:
Hold position while STRONG signal active
Move stop behind Fast EMA daily
Exit on STRONG SELL or Death Cross
Take Profit:
Partially close at +2R
Trail remainder until exit signal
For whom: Swing traders, trend followers
Pros:
Catches large moves
Simple rules
Emotionally comfortable
Cons:
Requires patience
Possible extended drawdowns on pullbacks
Strategy 2: "Scalping Bounces"
Idea: Scalp bounces from Fast EMA during STRONG trend
Settings:
Fast: Delta Adaptive (Base 15, Sensitivity 2.0)
Mid: Phi Golden (Phi²)
Slow: Pi Circular (2Pi)
Base Multiplier: 5
Timeframe: M5, M15
Entry rules:
STRONG signal must be active
Wait for price pullback to Fast EMA
Enter on bounce (candle closes above/below Fast EMA)
Stop behind local extreme (15-20 pips)
Take Profit:
+1.5R or to Mid EMA
Or to next level
For whom: Active day traders
Pros:
Many signals
Clear entry point
Quick profits
Cons:
Requires constant monitoring
Not all bounces work
Requires discipline for frequent trading
Strategy 3: "Triple Filter"
Idea: Enter only when all 3 EMAs and price perfectly aligned
Settings:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (3Pi)
Base Multiplier: 15
Timeframe: H4, D1
Entry rules (LONG):
STRONG BUY active
Price above all three EMAs
Fast > Mid > Slow (all aligned)
All EMAs rising (slope up)
Gradient Clouds wide and bright
Entry:
On bar close meeting all conditions
Or on next pullback to Fast EMA
Stop:
Below Mid EMA or -1.5 ATR
Take Profit:
First target: +3R
Second target: next major level
Trailing: Mid EMA
For whom: Conservative swing traders, investors
Pros:
Very reliable signals
Minimum false entries
Large profit potential
Cons:
Rare signals (2-5 per month)
Requires patience
Strategy 4: "Adaptive Scalper"
Idea: Use only Delta Adaptive EMA for quick volatility reaction
Settings:
Fast: Delta Adaptive (Base 10, Sensitivity 3.0)
Mid: None
Slow: Delta Adaptive (Base 30, Sensitivity 2.0)
Base Multiplier: 3
Timeframe: M1, M5
Feature: Two different Delta EMAs with different settings
Entry rules:
Golden Cross between two Delta EMAs
Both Delta EMAs must be rising/falling
Enter on next bar
Stop:
10-15 pips or below Slow Delta EMA
Take Profit:
+1R to +2R
Or Death Cross
For whom: Scalpers on cryptocurrencies and forex
Pros:
Instant volatility adaptation
Many signals on volatile markets
Quick results
Cons:
Much noise on calm markets
Requires fast execution
High commissions may eat profits
Strategy 5: "Cyclical Trader"
Idea: Use Pi and Lambda for trading cyclical markets
Settings:
Fast: Pi Circular (1Pi)
Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50)
Slow: Pi Circular (3Pi)
Base Multiplier: 10
Timeframe: H1, H4
Entry rules:
STRONG signal active
Lambda Wave EMA synchronized with trend
Enter on bounce from Lambda Wave
For whom: Traders of cyclical assets (some altcoins, commodities)
Pros:
Catches cyclical movements
Lambda Wave provides additional entry points
Cons:
More complex to configure
Not for all markets
Lambda Wave may give false signals
Strategy 6: "Multi-Timeframe Confirmation"
Idea: Use multiple timeframes for confirmation
Scheme:
Higher TF (D1): Determine trend direction (STRONG signal)
Middle TF (H4): Wait for STRONG signal in same direction
Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA)
Settings for all TFs:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base Multiplier: 10
Rules:
All 3 TFs must show one trend
Entry on lower TF
Stop by lower TF
Target by higher TF
For whom: Serious traders and investors
Pros:
Maximum reliability
Large profit targets
Minimum false signals
Cons:
Rare setups
Requires analysis of multiple charts
Experience needed
Practical Tips
DOs
Use STRONG signals as primary - they're most reliable
Let signals develop - don't exit on first pullback
Use trailing stop - follow Fast EMA
Combine with levels - S/R, Fibonacci, volumes
Test on demo before real
Adjust Base Multiplier for your timeframe
Enable visual effects - they help see the picture
Use Info Table - quick situation assessment
Watch Pulsing Bar - instant state indicator
Trust auto-sorting of Fast/Mid/Slow
DON'Ts
Don't trade against STRONG signal - trend is your friend
Don't ignore Mid EMA - it adds reliability
Don't use too small Base Multiplier on higher TFs
Don't enter on Golden Cross in range - check for trend
Don't change settings during open position
Don't forget risk management - 1-2% per trade
Don't trade all signals in row - choose best ones
Don't use indicator in isolation - combine with Price Action
Don't set too tight stops - let trade breathe
Don't over-optimize - simplicity = reliability
Optimal Settings by Asset
US Stocks (SPY, AAPL, TSLA)
Recommendation:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base: 10-15
Timeframe: H4, D1
Features:
Use on daily for swing
STRONG signals very reliable
Works well on trending stocks
Forex (EUR/USD, GBP/USD)
Recommendation:
Fast: Delta Adaptive (Base 15, Sens 2.0)
Mid: Phi Golden (Phi²)
Slow: Pi Circular (2Pi)
Base: 8-12
Timeframe: M15, H1, H4
Features:
Delta Adaptive works excellently on news
Many signals on M15-H1
Consider spreads
Cryptocurrencies (BTC, ETH, altcoins)
Recommendation:
Fast: Delta Adaptive (Base 10, Sens 3.0)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base: 5-10
Timeframe: M5, M15, H1
Features:
High volatility - adaptation needed
STRONG signals can last days
Be careful with scalping on M1-M5
Commodities (Gold, Oil)
Recommendation:
Fast: Pi Circular (1Pi)
Mid: Phi Golden (Phi³)
Slow: Pi Circular (3Pi)
Base: 12-18
Timeframe: H4, D1
Features:
Pi works excellently on cyclical commodities
Gold responds especially well to Phi
Oil volatile - use wide stops
Indices (S&P500, Nasdaq, DAX)
Recommendation:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base: 15-20
Timeframe: H4, D1, W1
Features:
Very trending instruments
STRONG signals last weeks
Good for position trading
Alerts
The indicator supports 6 alert types:
1. Golden Cross
Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!"
When: Fast EMA crosses Slow EMA from below
2. Death Cross
Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!"
When: Fast EMA crosses Slow EMA from above
3. STRONG BULLISH
Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!"
When: All conditions for STRONG BUY met (first bar)
4. STRONG BEARISH
Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!"
When: All conditions for STRONG SELL met (first bar)
5. Bullish Ribbon
Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend"
When: EMAs aligned bullish + price above Fast EMA (less strict condition)
6. Bearish Ribbon
Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend"
When: EMAs aligned bearish + price below Fast EMA (less strict condition)
How to Set Up Alerts:
Open indicator on chart
Click on three dots next to indicator name
Select "Create Alert"
In "Condition" field select needed alert:
Golden Cross
Death Cross
STRONG BULLISH
STRONG BEARISH
Bullish Ribbon
Bearish Ribbon
Configure notification method:
Pop-up in browser
Email
SMS (in Premium accounts)
Push notifications in mobile app
Webhook (for automation)
Select frequency:
Once Per Bar Close (recommended) - once on bar close
Once Per Bar - during bar formation
Only Once - only first time
Click "Create"
Tip: Create separate alerts for different timeframes and instruments
FAQ
1. Why don't STRONG signals appear?
Possible reasons:
Incorrect Fast/Mid/Slow order
Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods
Base Multiplier too large
Solution: Reduce Base to 5-10 on lower timeframes
Market in range
Solution: STRONG signals appear only in trends - this is normal
Too strict EMA settings
Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10
Mid EMA too close to Fast or Slow
Solution: Select Mid EMA with period between Fast and Slow
2. How often should STRONG signals appear?
Normal frequency:
M1-M5: 5-15 signals per day (very active markets)
M15-H1: 2-8 signals per day
H4: 3-10 signals per week
D1: 2-5 signals per month
W1: 2-6 signals per year
If too many signals - market very volatile or Base too small
If too few signals - market in range or Base too large
4. What are the best settings for beginners?
Universal "out of the box" settings:
Matrix Core:
Base Multiplier: 10
Source: close
Phi Golden: Enabled, Power = 3
Pi Circular: Enabled, Multiple = 2
e Natural: Enabled, Power = 2
Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0
Manual Selection:
Fast: Phi Golden
Mid: e Natural
Slow: Pi Circular
Visualization:
Gradient Clouds: ON
Neon Glow: ON (Medium)
Pulsing Bar: ON (Medium)
Signal Highlights: ON (Light Fill)
Table: ON (Top Right, Small)
Signals:
Golden/Death Cross: ON
STRONG Signals: ON
Stop Loss: OFF (while learning)
Timeframe for learning: H1 or H4
5. Can I use only one EMA?
No, minimum 2 EMAs (Fast and Slow) for signal generation.
Mid EMA is optional:
With Mid EMA = more reliable but rarer signals
Without Mid EMA = more signals but less strict filtering
Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment
6. Does the indicator work on cryptocurrencies?
Yes, works excellently! Especially good on:
Bitcoin (BTC)
Ethereum (ETH)
Major altcoins (SOL, BNB, XRP)
Recommended settings for crypto:
Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base: 5-10
Timeframe: M15, H1, H4
Crypto market features:
High volatility → use Delta Adaptive
24/7 trading → set alerts
Sharp movements → wide stops
7. Can I trade only with this indicator?
Technically yes, but NOT recommended.
Best approach - combine with:
Price Action - support/resistance levels, candle patterns
Volume - movement strength confirmation
Fibonacci - retracement and extension levels
RSI/MACD - divergences and overbought/oversold
Fundamental analysis - news, company reports
Hellenic Matrix:
Excellently determines trend and its strength
Provides clear entry/exit points
Doesn't consider fundamentals
Doesn't see major levels
8. Why do Gradient Clouds change color?
Color depends on EMA order:
Phi-Pi Cloud:
Blue - Pi EMA above Phi EMA (bullish alignment)
Gold - Phi EMA above Pi EMA (bearish alignment)
Pi-e Cloud:
Green - e EMA above Pi EMA (bullish alignment)
Blue - Pi EMA above e EMA (bearish alignment)
Color change = EMA order change = possible trend change
9. What is Momentum % in the table?
Momentum % = percentage deviation of price from Fast EMA
Formula:
Momentum = ((Close - Fast EMA) / Fast EMA) × 100
Interpretation:
+0.5% to +2% - normal bullish momentum
+2% to +5% - strong bullish momentum
+5% and above - overheating (correction possible)
-0.5% to -2% - normal bearish momentum
-2% to -5% - strong bearish momentum
-5% and below - oversold (bounce possible)
Usage:
Monitor momentum during STRONG signals
Large momentum = don't enter (wait for pullback)
Small momentum = good entry point
10. How to configure for scalping?
Settings for scalping (M1-M5):
Base Multiplier: 3-5
Source: close or hlc3 (smoother)
Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0)
Mid: None (for more signals)
Slow: Phi Golden (Phi²) or Pi Circular (1Pi)
Visualization:
- Gradient Clouds: ON (helps see strength)
- Neon Glow: OFF (doesn't clutter chart)
- Pulsing Bar: ON (quick assessment)
- Signal Highlights: ON
Signals:
- Golden/Death Cross: ON
- STRONG Signals: ON
- Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0)
Scalping rules:
Trade only STRONG signals
Enter on bounce from Fast EMA
Tight stops (10-20 pips)
Quick take profit (+1R to +2R)
Don't hold through news
11. How to configure for long-term investing?
Settings for investing (D1-W1):
Base Multiplier: 20-30
Source: close
Fast: Phi Golden (Phi³ or Phi⁴)
Mid: e Natural (e²)
Slow: Pi Circular (3Pi or 4Pi)
Visualization:
- Gradient Clouds: ON
- Neon Glow: ON (Medium)
- Everything else - to taste
Signals:
- Golden/Death Cross: ON
- STRONG Signals: ON
- Stop Loss: OFF (use percentage stop)
Investing rules:
Enter only on STRONG signals
Hold while STRONG active (weeks/months)
Stop below Slow EMA or -10%
Take profit: by company targets or +50-100%
Ignore short-term pullbacks
12. What if indicator slows down chart?
Indicator is optimized, but if it slows:
Disable unnecessary visual effects:
Neon Glow: OFF (saves 8 plots)
Gradient Clouds: ON but low quality
Lambda Wave EMA: OFF (if not using)
Reduce number of active EMAs:
Sigma Composite: OFF
Lambda Wave: OFF
Leave only Phi, Pi, e, Delta
Simplify settings:
Pulsing Bar: OFF
Greek Labels: OFF
Info Table: smaller size
13. Can I use on different timeframes simultaneously?
Yes! Multi-timeframe analysis is very powerful:
Classic scheme:
Higher TF (D1, W1) - determine global trend
Wait for STRONG signal
This is our trading direction
Middle TF (H4, H1) - look for confirmation
STRONG signal in same direction
Precise entry zone
Lower TF (M15, M5) - entry point
Golden Cross or bounce from Fast EMA
Precise stop loss
Example:
W1: STRONG BUY active (global uptrend)
H4: STRONG BUY appeared (confirmation)
M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY
Advantages:
Maximum reliability
Clear timeframe hierarchy
Large targets
14. How does indicator work on news?
Delta Adaptive EMA adapts excellently to news:
Before news:
Low volatility → Delta EMA becomes fast → pulls to price
During news:
Sharp volatility spike → Delta EMA slows → filters noise
After news:
Volatility normalizes → Delta EMA returns to normal
Recommendations:
Don't trade at news release moment (spreads widen)
Wait for STRONG signal after news (2-5 bars)
Use Delta Adaptive as Fast EMA for quick reaction
Widen stops by 50-100% during important news
Advanced Techniques
Technique 1: "Divergences with EMA"
Idea: Look for discrepancies between price and Fast EMA
Bullish divergence:
Price makes lower low
Fast EMA makes higher low
= Possible reversal up
Bearish divergence:
Price makes higher high
Fast EMA makes lower high
= Possible reversal down
How to trade:
Find divergence
Wait for STRONG signal in divergence direction
Enter on confirmation
Technique 2: "EMA Tunnel"
Idea: Use space between Fast and Slow EMA as "tunnel"
Rules:
Wide tunnel - strong trend, hold position
Narrow tunnel - weak trend or consolidation, caution
Tunnel narrowing - trend weakening, prepare to exit
Tunnel widening - trend strengthening, can add
Visually: Gradient Clouds show this automatically!
Trading:
Enter on STRONG signal (tunnel starts widening)
Hold while tunnel wide
Exit when tunnel starts narrowing
Technique 3: "Wave Analysis with Lambda"
Idea: Lambda Wave EMA creates sinusoid matching market cycles
Setup:
Lambda Base Period: 30
Lambda Wave Amplitude: 0.5
Lambda Wave Frequency: 50 (adjusted to asset cycle)
How to find correct Frequency:
Look at historical cycles (distance between local highs)
Average distance = your Frequency
Example: if highs every 40-60 bars, set Frequency = 50
Trading:
Enter when Lambda Wave at bottom of sinusoid (growth potential)
Exit when Lambda Wave at top (fall potential)
Combine with STRONG signals
Technique 4: "Cluster Analysis"
Idea: When all EMAs gather in narrow cluster = powerful breakout soon
Cluster signs:
All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other
Gradient Clouds almost invisible
Price jumping around all EMAs
Trading:
Identify cluster (all EMAs close)
Determine breakout direction (where more volume, higher TFs direction)
Wait for breakout and STRONG signal
Enter on confirmation
Target = cluster size × 3-5
This is very powerful technique for big moves!
Technique 5: "Sigma as Dynamic Level"
Idea: Sigma Composite EMA = average of all EMAs = magnetic level
Usage:
Enable Sigma Composite (Weighted Average)
Sigma works as dynamic support/resistance
Price often returns to Sigma before trend continuation
Trading:
In trend: Enter on bounces from Sigma
In range: Fade moves from Sigma (trade return to Sigma)
On breakout: Sigma becomes support/resistance
Risk Management
Basic Rules
1. Position Size
Conservative: 1% of capital per trade
Moderate: 2% of capital per trade (recommended)
Aggressive: 3-5% (only for experienced)
Calculation formula:
Lot Size = (Capital × Risk%) / (Stop in pips × Pip value)
2. Risk/Reward Ratio
Minimum: 1:1.5
Standard: 1:2 (recommended)
Optimal: 1:3
Aggressive: 1:5+
3. Maximum Drawdown
Daily: -3% to -5%
Weekly: -7% to -10%
Monthly: -15% to -20%
Upon reaching limit → STOP trading until end of period
Position Management Strategies
1. Fixed Stop
Method:
Stop below/above Fast EMA or local extreme
DON'T move stop against position
Can move to breakeven
For whom: Beginners, conservative traders
2. Trailing by Fast EMA
Method:
Each day (or bar) move stop to Fast EMA level
Position closes when price breaks Fast EMA
Advantages:
Stay in trend as long as possible
Automatically exit on reversal
For whom: Trend followers, swing traders
3. Partial Exit
Method:
50% of position close at +2R
50% hold with trailing by Mid EMA or Slow EMA
Advantages:
Lock profit
Leave position for big move
Psychologically comfortable
For whom: Universal method (recommended)
4. Pyramiding
Method:
First entry on STRONG signal (50% of planned position)
Add 25% on pullback to Fast EMA
Add another 25% on pullback to Mid EMA
Overall stop below Slow EMA
Advantages:
Average entry price
Reduce risk
Increase profit in strong trends
Caution:
Works only in trends
In range leads to losses
For whom: Experienced traders
Trading Psychology
Correct Mindset
1. Indicator is a tool, not holy grail
Indicator shows probability, not guarantee
There will be losing trades - this is normal
Important is series statistics, not one trade
2. Trust the system
If STRONG signal appeared - enter
Don't search for "perfect" moment
Follow trading plan
3. Patience
STRONG signals don't appear every day
Better miss signal than enter against trend
Quality over quantity
4. Discipline
Always set stop loss
Don't move stop against position
Don't increase risk after losses
Beginner Mistakes
1. "I know better than indicator"
Indicator says STRONG BUY, but you think "too high, will wait for pullback"
Result: miss profitable move
Solution: Trust signals or don't use indicator
2. "Will reverse now for sure"
Trading against STRONG trend
Result: stops, stops, stops
Solution: Trend is your friend, trade with trend
3. "Will hold a bit more"
Don't exit when STRONG signal disappears
Greed eats profit
Solution: If signal gone - exit!
4. "I'll recover"
After losses double risk
Result: huge losses
Solution: Fixed % risk ALWAYS
5. "I don't like this signal"
Skip signals because of "feeling"
Result: inconsistency, no statistics
Solution: Trade ALL signals or clearly define filters
Trading Journal
What to Record
For each trade:
1. Entry/exit date and time
2. Instrument and timeframe
3. Signal type
Golden Cross
STRONG BUY
STRONG SELL
Death Cross
4. Indicator settings
Fast/Mid/Slow EMA
Base Multiplier
Other parameters
5. Chart screenshot
Entry moment
Exit moment
6. Trade parameters
Position size
Stop loss
Take Profit
R:R
7. Result
Profit/Loss in $
Profit/Loss in %
Profit/Loss in R
8. Notes
What was right
What was wrong
Emotions during trade
Lessons
Journal Analysis
Analyze weekly:
1. Win Rate
Win Rate = (Profitable trades / All trades) × 100%
Good: 50-60%
Excellent: 60-70%
Exceptional: 70%+
2. Average R
Average R = Sum of all R / Number of trades
Good: +0.5R
Excellent: +1.0R
Exceptional: +1.5R+
3. Profit Factor
Profit Factor = Total profit / Total losses
Good: 1.5+
Excellent: 2.0+
Exceptional: 3.0+
4. Maximum Drawdown
Track consecutive losses
If more than 5 in row - stop, check system
5. Best/Worst Trades
What was common in best trades? (do more)
What was common in worst trades? (avoid)
Pre-Trade Checklist
Technical Analysis
STRONG signal active (BUY or SELL)
All EMAs properly aligned (Fast > Mid > Slow or reverse)
Price on correct side of Fast EMA
Gradient Clouds confirm trend
Pulsing Bar shows STRONG state
Momentum % in normal range (not overheated)
No close strong levels against direction
Higher timeframe doesn't contradict
Risk Management
Position size calculated (1-2% risk)
Stop loss set
Take profit calculated (minimum 1:2)
R:R satisfactory
Daily/weekly risk limit not exceeded
No other open correlated positions
Fundamental Analysis
No important news in coming hours
Market session appropriate (liquidity)
No contradicting fundamentals
Understand why asset is moving
Psychology
Calm and thinking clearly
No emotions from previous trades
Ready to accept loss at stop
Following trading plan
Not revenging market for past losses
If at least one point is NO - think twice before entering!
Learning Roadmap
Week 1: Familiarization
Goals:
Install and configure indicator
Study all EMA types
Understand visualization
Tasks:
Add indicator to chart
Test all Fast/Mid/Slow settings
Play with Base Multiplier on different timeframes
Observe Gradient Clouds and Pulsing Bar
Study Info Table
Result: Comfort with indicator interface
Week 2: Signals
Goals:
Learn to recognize all signal types
Understand difference between Golden Cross and STRONG
Tasks:
Find 10 Golden Cross examples in history
Find 10 STRONG BUY examples in history
Compare their results (which worked better)
Set up alerts
Get 5 real alerts
Result: Understanding signals
Week 3: Demo Trading
Goals:
Start trading signals on demo account
Gather statistics
Tasks:
Open demo account
Trade ONLY STRONG signals
Keep journal (minimum 20 trades)
Don't change indicator settings
Strictly follow stop losses
Result: 20+ documented trades
Week 4: Analysis
Goals:
Analyze demo trading results
Optimize approach
Tasks:
Calculate win rate and average R
Find patterns in profitable trades
Find patterns in losing trades
Adjust approach (not indicator!)
Write trading plan
Result: Trading plan on 1 page
Month 2: Improvement
Goals:
Deepen understanding
Add additional techniques
Tasks:
Study multi-timeframe analysis
Test combinations with Price Action
Try advanced techniques (divergences, tunnels)
Continue demo trading (minimum 50 trades)
Achieve stable profitability on demo
Result: Win rate 55%+ and Profit Factor 1.5+
Month 3: Real Trading
Goals:
Transition to real account
Maintain discipline
Tasks:
Open small real account
Trade minimum lots
Strictly follow trading plan
DON'T increase risk
Focus on process, not profit
Result: Psychological comfort on real
Month 4+: Scaling
Goals:
Increase account
Become consistently profitable
Tasks:
With 60%+ win rate can increase risk to 2%
Upon doubling account can add capital
Continue keeping journal
Periodically review and improve strategy
Share experience with community
Result: Stable profitability month after month
Additional Resources
Recommended Reading
Technical Analysis:
"Technical Analysis of Financial Markets" - John Murphy
"Trading in the Zone" - Mark Douglas (psychology)
"Market Wizards" - Jack Schwager (trader interviews)
EMA and Moving Averages:
"Moving Averages 101" - Steve Burns
Articles on Investopedia about EMA
Risk Management:
"The Mathematics of Money Management" - Ralph Vince
"Trade Your Way to Financial Freedom" - Van K. Tharp
Trading Journals:
Edgewonk (paid, very powerful)
Tradervue (free version + premium)
Excel/Google Sheets (free)
Screeners:
TradingView Stock Screener
Finviz (stocks)
CoinMarketCap (crypto)
Conclusion
Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines:
Mathematical elegance - Phi, Pi, e instead of arbitrary numbers
Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar
Reliable signals - STRONG BUY/SELL work on all timeframes
Flexibility - 6 EMA types, adaptation to any trading style
Automation - auto-sorting EMAs, SL/TP calculation, alerts
Key Success Principles:
Simplicity - start with basic settings (Phi/Pi/e, Base=10)
Discipline - follow STRONG signals strictly
Patience - wait for quality setups
Risk Management - 1-2% per trade, ALWAYS
Journal - document every trade
Learning - constantly improve skills
Remember:
Indicator shows probability, not guarantee
Important is series statistics, not one trade
Psychology more important than technique
Quality more important than quantity
Process more important than result
Acknowledgments
Thank you for using Hellenic EMA Matrix - Alpha Omega Premium!
The indicator was created with love for mathematics, markets, and beautiful visualization.
Wishing you profitable trading!
Guide Version: 1.0
Date: 2025
Compatibility: Pine Script v6, TradingView
"In the simplicity of mathematical constants lies the complexity of market movements"
SUPER EMA SMA 16x [GUSLM]█ Author's Note:
After extensively reviewing the EMA and SMA consolidation tools in the TradingView library, I found that none fully met my expectations or those of friends and colleagues. Some tools were too specific or not configurable enough, with varying sensitivities. Others lacked options or produced many invalid and incorrect ranges when viewed across different timeframes. Some were fixed in their options, others did not allow visualization on different timeframes or lacked crossover signals and customization options for turning each option on or off. Additionally, there was no custom function to view one or more configurable moving averages from different timeframes in the current view, serving as a time-saving shortcut to avoid switching between timeframes to record values. Consequently, I decided to develop my own tool. I hope that you, fellow traders, find it valuable and enjoy using it.
█ Description:
The GUSLM SUPER EMA SMA 16x allows traders to configure and visualize multiple labeled trendlines for various periods on a single chart, all at once. highlighting how prices move over time. It enables simultaneous display of trendlines for different timeframes, with customizable colors and thicknesses. Designed for traders who use moving averages in their strategies, it simplifies the analysis of key moving averages like the 200-period, 100 50 12 26 and 20-period etc, offering a clear, configurable tool to try to identify reactions, trends, supports, and resistances.. This indicator employs algorithms to detect and show signals where price movements are confined, all that can be usefull for helping traders spot potential breakout zones and make informed trading decisions.
█ Key Features:
► Customizable Timeframes: Display in one, multiple moving averages and exponential moving averages across various timeframes (weekly, daily, hourly, and 4-hour) to tailor analysis to your trading strategy.
► Adjustable Display Settings: Choose which moving averages to display and customize their visual characteristics, including color and line width, to match your chart preferences.
► Dynamic Alerts: Activate signals for different timeframes with customizable visual cues, including background color changes and shape indicators to highlight key trading signals.
► Clear Visual Indicators: Enhance chart readability with distinct colors and shapes for different types of moving averages and also crossover events, providing immediate visual feedback for trading decisions.
█ User-Defined Inputs:
► Moving Averages Display Options:
Weekly: MA 200, EMA 200, EMA 100, EMA 50, EMA 20, EMA 12, EMA 26
Daily: MA 200, EMA 200, EMA 100, EMA 50, EMA 20, EMA 12, EMA 26
Hourly: MA 200, EMA 200, EMA 100, EMA 50, EMA 20, EMA 12, EMA 26
4-Hour: MA 200, EMA 200, EMA 100, EMA 50, EMA 20, EMA 12, EMA 26
► Line Width Adjustments:
Hourly, Daily, Weekly, 4-Hour
► Color Options for each range and or individually
► Options for type and Signal; Weekly: On/Off Daily: On/Off Hourly: On/Off 4-Hour: On/Off
► Background color change and arrow shapes for crossover and crossunder signals
█ How It Works:
► Range Detection: The indicator scans the charts in different timeframes of the same asset, based on options, and plot them on the actual view, even if they are from another timeframe. And label it based on configuration, telling wich one is from where as H 4h W etc, and its lenght and range. also for collors widths etc. It calculates the average or exponential average price from other timeframes, and plot it in the current view.
► Visualization: Validated ranges and lines are highlighted on the chart with colored optimized lines, providing a clear visual cue of potential zones.
█ Usage Examples:
► Example 1:
You can configure the ranges you want and timeframes you want and see how it interact with the prices. and can expect eventual future reactions.
█ Practical Applications:
► Identify and Confirm Breakout Zones: Use the lines to identify potential breakout zones and limits, Ex: if is there a key level above your breakout, you may expect a reaction, maybe changing your plan to make an entrance above the initial resistance, you can see eventual resistance and support zones. helping to anticipate significant price movements.
► Identify Key Price Levels: The tool helps in pointing key price levels where there is a high probability of significant price reactions, providing crucial insights for trading strategies.
► Enhance Technical Analysis: Integrate the SUPER EMA SMA 16x into your existing technical analysis toolkits to improve the accuracy of your trading decisions.
█ Conclusion:
The SUPER EMA SMA 16x is a powerful tool, for traders looking to identify periods of price consolidation, support and resistance levels and potential confirmation for breakout zones. Serving as a time-saving shortcut with its customizable settings and algorithms, it provides a reliable and visual method to enhance your trading strategy. Whether you're a beginner or an experienced trader, this indicator can add significant value to your technical analysis.
█ Cautionary Note:
While the SUPER EMA SMA 16x is a powerful tool to see many relevant SMAS and EMAS and signals, it's important to combine it with other indicators and analysis methods for comprehensive trading decisions. Always consider market context and external factors when interpreting detected consolidation ranges.
CandelaCharts - Liquidity Key Zones (LKZ)// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © CandelaCharts
//@version=6
indicator("CandelaCharts - Liquidity Key Zones (LKZ)", shorttitle = "CandelaCharts - Liquidity Key Zones (LKZ)", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 500, max_polylines_count = 100)
// # ========================================================================= #
// # | Colors |
// # ========================================================================= #
//#region
// # Core -------------------------------------------------------------------- #
colors_orange = color.orange
colors_blue = color.blue
colors_aqua = color.aqua
colors_red = color.red
colors_green = color.green
colors_maroon = color.maroon
colors_purple = color.purple
colors_gray = color.gray
colors_transparent = color.new(color.white,100)
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Inputs |
// # ========================================================================= #
//#region
// # General ----------------------------------------------------------------- #
general_font = input.string("Monospace", "Text ", options = , inline = "5", group = "General")
general_text = input.string("Tiny", "", options = , inline = "5", group = "General", tooltip = "Customize global text size and style")
general_brand_show = input.bool(false, "Hide Brand", group = "General")
// # LKZ --------------------------------------------------------------------- #
hl_daily = input.bool(true, "Day ", inline = "1", group = "HTF Levels")
hl_weekly = input.bool(false, "Week ", inline = "2", group = "HTF Levels")
hl_monthly = input.bool(false, "Month ", inline = "3", group = "HTF Levels")
hl_quartely = input.bool(false, "Quarter ", inline = "4", group = "HTF Levels")
hl_yearly = input.bool(false, "Year ", inline = "5", group = "HTF Levels")
hl_css_daily = input.color(colors_blue, "", inline = "1", group = "HTF Levels")
hl_css_weekly = input.color(colors_green, "", inline = "2", group = "HTF Levels")
hl_css_monthly = input.color(colors_purple, "", inline = "3", group = "HTF Levels")
hl_css_quaterly = input.color(colors_maroon, "", inline = "4", group = "HTF Levels")
hl_css_yearly = input.color(colors_gray, "", inline = "5", group = "HTF Levels")
hl_line_daily = input.string('⎯⎯⎯', '', inline = '1', group = "HTF Levels", options = )
hl_line_weekly = input.string('⎯⎯⎯', '', inline = '2', group = "HTF Levels", options = )
hl_line_monthly = input.string('⎯⎯⎯', '', inline = '3', group = "HTF Levels", options = )
hl_line_quaterly = input.string('⎯⎯⎯', '', inline = '4', group = "HTF Levels", options = )
hl_line_yearly = input.string('⎯⎯⎯', '', inline = '5', group = "HTF Levels", options = )
hl_line_width_daily = input.int(1, '', inline = '1', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_weekly = input.int(1, '', inline = '2', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_monthly = input.int(1, '', inline = '3', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_quaterly = input.int(1, '', inline = '4', group = "HTF Levels", minval = 1, maxval = 5)
hl_line_width_yearly = input.int(1, '', inline = '5', group = "HTF Levels", minval = 1, maxval = 5)
hl_midline = input.bool(true, "Show Average ", inline = "6" , group = "HTF Levels")
hl_midline_css = input.color(colors_aqua, "", inline = "6", group = "HTF Levels")
hl_midline_type = input.string("----", "", inline = "6", group = "HTF Levels", options = , tooltip = "Show highs & lows mid-line")
hl_midline_width = input.int(1, "", inline = "6", group = "HTF Levels", tooltip = "Change mid-line highs & lows width")
hl_openline = input.bool(true, "Show Open ", inline = "7" , group = "HTF Levels")
hl_openline_css = input.color(colors_orange, "", inline = "7", group = "HTF Levels")
hl_openline_type = input.string("····", "", inline = "7", group = "HTF Levels", options = , tooltip = "Show highs & lows mid-line")
hl_openline_width = input.int(1, "", inline = "7", group = "HTF Levels", tooltip = "Change mid-line highs & lows width")
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | UDTs |
// # ========================================================================= #
//#region
type UDT_Store
line hl_ln
label hl_lbl
type UDT_MTF
int x1 = na
int x2 = na
float y1 = na
float y2 = na
type UDT_HTF_Candle
string tf
// real coordinates of HTF candle
float o
float c
float h
float l
int ot
int ct
int ht
int lt
bool bull
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Functions |
// # ========================================================================= #
//#region
method text_size(string size) =>
out = switch size
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
"Huge" => size.huge
"Auto" => size.auto
out
method line_style(string line) =>
out = switch line
'⎯⎯⎯' => line.style_solid
'----' => line.style_dashed
'····' => line.style_dotted
method font_style(string font) =>
out = switch font
'Default' => font.family_default
'Monospace' => font.family_monospace
shift_to_right(int current, int length, string tf) =>
current + timeframe.in_seconds(tf) * 1000 * (length + 1)
shift_to_left(int current, int prev, int length) =>
current - (current - prev) * length + 1
shift_bars_to_right(int bars) =>
bars + 20
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Store |
// # ========================================================================= #
//#region
var UDT_Store bin = UDT_Store.new(hl_ln = array.new(), hl_lbl = array.new())
method clean_hl(UDT_Store store) =>
for obj in store.hl_ln
obj.delete()
for obj in store.hl_lbl
obj.delete()
store.hl_ln.clear()
store.hl_lbl.clear()
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Highs & Lows MTF |
// # ========================================================================= #
//#region
method draw_pivots_ol_line(UDT_MTF mtf) =>
ol = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = hl_openline_css
, style = line_style(hl_openline_type)
, width = hl_openline_width
)
bin.hl_ln.push(ol)
mtf
method draw_pivots_hl_line(UDT_MTF mtf, color css, string pdhl_style, int line_width) =>
hl = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = css
, style = line_style(pdhl_style)
, width = line_width
)
bin.hl_ln.push(hl)
mtf
method draw_pivots_mid_line(UDT_MTF mtf) =>
ml = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = hl_midline_css
, style = line_style(hl_midline_type)
, width = hl_midline_width
)
bin.hl_ln.push(ml)
mtf
method draw_pivots_ll_line(UDT_MTF mtf, color css, string pdhl_style, int line_width) =>
ll = line.new(
x1 = mtf.x1
, y1 = mtf.y1
, x2 = mtf.x2
, y2 = mtf.y2
, xloc = xloc.bar_time
, color = css
, style = line_style(pdhl_style)
, width = line_width
)
bin.hl_ln.push(ll)
mtf
method draw_pivots_label(UDT_MTF mtf, string fmt, string tf, color css) =>
lbl = label.new(
x = mtf.x2
, y = mtf.y2
, xloc = xloc.bar_time
, text = str.format(fmt, tf)
, color = colors_transparent
, textcolor = css
, size = text_size(general_text)
, style = label.style_label_left
, text_font_family = font_style(general_font)
)
bin.hl_lbl.push(lbl)
mtf
method mtf_pivots(UDT_HTF_Candle candle, tf, css, pdhl_style, line_width) =>
h_mtf = UDT_MTF.new(x1 = candle.ht, x2 = candle.ct, y1 = candle.h, y2 = candle.h)
l_mtf = UDT_MTF.new(x1 = candle.lt, x2 = candle.ct, y1 = candle.l, y2 = candle.l)
// validate high/low detections, if no candle is detected on the levels, set x1 to open
if na(h_mtf.x1)
h_mtf.x1 := candle.ot
if na(l_mtf.x1)
l_mtf.x1 := candle.ot
// position
extension = shift_to_right(time, 10, timeframe.period)
h_mtf.x2 := extension
l_mtf.x2 := extension
// Draw high line
h_mtf.draw_pivots_hl_line(css, pdhl_style, line_width)
.draw_pivots_label('P{0}H', tf, css)
// Draw low line
l_mtf.draw_pivots_ll_line(css, pdhl_style, line_width)
.draw_pivots_label('P{0}L', tf, css)
if hl_openline
o_mtf = UDT_MTF.new(x1 = candle.ot, x2 = candle.ct, y1 = candle.o, y2 = candle.o)
o_mtf.x2 := extension
// Draw open line
o_mtf.draw_pivots_ol_line()
.draw_pivots_label('P{0}O', tf, hl_openline_css)
if hl_midline
m_mtf = UDT_MTF.new()
midline_y = (h_mtf.y1 + l_mtf.y1) / 2
m_mtf.x1 := candle.ot
m_mtf.x2 := extension
m_mtf.y1 := midline_y
m_mtf.y2 := midline_y
// Draw midline
m_mtf.draw_pivots_mid_line()
.draw_pivots_label('P{0}A', tf, hl_midline_css)
candle
method session_begins(string tf, string ses, string tz) =>
ta.change(time(tf, ses, na(tz) ? "" : tz))!= 0
session_begins_2(string tf, string ses, string tz) =>
t = time(tf, ses, na(tz) ? "" : tz)
ct = time_close(tf, ses, na(tz) ? "" : tz)
not na(t) and not na(ct) and (na(t ) or t > t )
method in_session(string tf, string ses, string tz) =>
t = time(tf, ses, na(tz) ? "" : tz)
ct = time_close(tf, ses, na(tz) ? "" : tz)
not na(t) and not na(ct)
is_bullish_candle(float c, float o, float h, float l) =>
// Doji candle
if c == o
math.abs(o - h) < math.abs(o - l)
else
c > o
method detect_htf_candle(array candles, string tf, int buffer) =>
if session_begins(tf, "", na)or candles.size()==0
// log.info("session begins " + " open=" + str.format_time(time, "yyyy-MM-dd HH:mm"))
candle = UDT_HTF_Candle.new(tf = 'D')
candle.o := open
candle.c := close
candle.h := high
candle.l := low
candle.ot := time
candle.ct := time
candle.ht := time
candle.lt := time
candle.bull := is_bullish_candle(candle.c, candle.o, candle.h, candle.l)
if candles.size() >= buffer
candles.pop()
candles.unshift(candle)
else if in_session(tf, "", na) and candles.size()>0
candle = candles.first()
candle.c := close
candle.ct := time
if high > candle.h
candle.h := high
candle.ht := time
// log.info("h=" + str.tostring(high) + " l=" + str.tostring(low) + " o=" + str.tostring(open) + " c=" + str.tostring(close))
if low < candle.l
candle.l := low
candle.lt := time
// log.info("h=" + str.tostring(high) + " l=" + str.tostring(low) + " o=" + str.tostring(open) + " c=" + str.tostring(close))
candle.bull := is_bullish_candle(candle.c, candle.o, candle.h, candle.l)
// log.info("in session " + " time=" + str.format_time(time, "yyyy-MM-dd HH:mm") + " o=" + str.tostring(candle.o) + " c=" + str.tostring(candle.c))
candles
bin.clean_hl()
const int buffer = 2
if hl_daily
var htf_daily_candles = array.new()
htf_daily_candles.detect_htf_candle('D', buffer)
if htf_daily_candles.size() == buffer
prev_day = htf_daily_candles.get(1)
prev_day.mtf_pivots('D', hl_css_daily, hl_line_daily, hl_line_width_daily)
if hl_weekly
var htf_weekly_candles = array.new()
htf_weekly_candles.detect_htf_candle('W', buffer)
if htf_weekly_candles.size() == buffer and barstate.islast
prev_week = htf_weekly_candles.get(1)
prev_week.mtf_pivots('W', hl_css_weekly, hl_line_weekly, hl_line_width_weekly)
if hl_monthly
var htf_monthly_candles = array.new()
htf_monthly_candles.detect_htf_candle('M', buffer)
if htf_monthly_candles.size() == buffer and barstate.islast
prev_month = htf_monthly_candles.get(1)
prev_month.mtf_pivots('M', hl_css_monthly, hl_line_monthly, hl_line_width_monthly)
if hl_quartely
var htf_quartely_candles = array.new()
htf_quartely_candles.detect_htf_candle('3M', buffer)
if htf_quartely_candles.size() == buffer and barstate.islast
prev_quarter = htf_quartely_candles.get(1)
prev_quarter.mtf_pivots('3M', hl_css_quaterly, hl_line_quaterly, hl_line_width_quaterly)
if hl_yearly
var htf_yearly_candles = array.new()
htf_yearly_candles.detect_htf_candle('12M', buffer)
if htf_yearly_candles.size() == buffer and barstate.islast
prev_year = htf_yearly_candles.get(1)
prev_year.mtf_pivots('12M', hl_css_yearly, hl_line_yearly, hl_line_width_yearly)
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Brand |
// # ========================================================================= #
//#region
if barstate.isfirst and general_brand_show == false
var table brand = table.new(position.bottom_right, 1, 1, bgcolor = chart.bg_color)
table.cell(brand, 0, 0, "© CandelaCharts", text_color = colors_gray, text_halign = text.align_center, text_size = text_size(general_text), text_font_family = font_style(general_font))
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// Constants
color CLEAR = color.rgb(0,0,0,100)
eq_threshold = input.float(0.3, '', minval = 0, maxval = 0.5, step = 0.1, group = 'Market Structure',inline = 'equilibrium_zone')
showSwing = input.bool(false, 'Swing Points', group="Market Structure",inline="3")
swingSize_swing = input.int(10, "Swing Point Period",inline="4", group="Market Structure")
label_sizes_s =input.string("Medium", options= , title="Label Size",inline="4", group="Market Structure")
label_size_buysell_s = label_sizes_s == "Small" ? size.tiny : label_sizes_s == "Medium" ? size.small : label_sizes_s == "Large" ? size.normal : label_sizes_s == "Medium2" ? size.normal : label_sizes_s == "Large2" ? size.large : size.huge
label_size_buysell = label_sizes_s == "Small" ? size.tiny : label_sizes_s == "Medium" ? size.small : label_sizes_s == "Large" ? size.normal : label_sizes_s == "Medium2" ? size.normal : label_sizes_s == "Large2" ? size.large : size.huge
swingColor = input.color(#787b86 , '', group="Market Structure",inline="3")
swingSize = 3
length_eqh = 3
//----------------------------------------}
//Key Levels
//----------------------------------------{
var Show_4H_Levels = input.bool(defval=false, title='4H', group='Key Levels', inline='4H')
Color_4H_Levels = input.color(title='', defval=color.orange, group='Key Levels', inline='4H')
Style_4H_Levels = input.string('Dotted', ' Style', , group="Key Levels",inline="4H")
Text_4H_Levels = input.bool(defval=false, title='Shorten', group='Key Levels', inline='4H')
labelsize = input.string(defval='Medium', title='Text Size', options= ,group = "Key Levels", inline='H')
displayStyle = 'Standard'
distanceright = 25
radistance = 250
linesize = 'Small'
linestyle = 'Solid'
var untested_monday = false
bosConfType = 'Candle High'//input.string('Candle Close', 'BOS Confirmation', , tooltip='Choose whether candle close/wick above previous swing point counts as a BOS.')
MSS = true//input.bool(false, 'Show MSS', tooltip='Renames the first counter t_MS BOS to MSS' )
// showSwing = false//input.bool(true, 'Show Swing Points', tooltip='Show or hide HH, LH, HL, LL')
// Functions
lineStyle(x) =>
switch x
'Solid' => line.style_solid
'Dashed' => line.style_dashed
'Dotted' => line.style_dotted
pivot_high_found = ta.pivothigh(high, swingSize_swing, swingSize_swing)
pivot_low_found = ta.pivotlow(low, swingSize_swing, swingSize_swing)
var float prevHigh_s = na,var float prevLow_s = na,var int prevHighIndex_s = na,var int prevLowIndex_s = na
bool higher_highs = false, bool lower_highs = false, bool higher_lows = false, bool lower_lows = false
var int prevSwing_s = 0
if not na(pivot_high_found)
if pivot_high_found >= prevHigh_s
higher_highs := true
prevSwing_s := 2
else
lower_highs := true
prevSwing_s := 1
prevHigh_s := pivot_high_found
prevHighIndex_s := bar_index - swingSize_swing
if not na(pivot_low_found)
if pivot_low_found >= prevLow_s
higher_lows := true
prevSwing_s := -1
else
lower_lows := true
prevSwing_s := -2
prevLow_s := pivot_low_found
prevLowIndex_s := bar_index - swingSize_swing
// ———————————————————— Global data {
//Using current bar data for HTF highs and lows instead of security to prevent future leaking
var htfH = open
var htfL = open
if close > htfH
htfH:= close
if close < htfL
htfL := close
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--------------------------------------------------------------- Key Levels
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var monday_time = time
var monday_high = high
var monday_low = low
= request.security(syminfo.tickerid, 'W', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
if weekly_time != weekly_time
untested_monday := false
untested_monday
untested_monday := true
monday_low
linewidthint = 1
if linesize == 'Small'
linewidthint := 1
linewidthint
if linesize == 'Medium'
linewidthint := 2
linewidthint
if linesize == 'Large'
linewidthint := 3
linewidthint
var linewidth_def = linewidthint
fontsize = size.small
if labelsize == 'Small'
fontsize := size.small
fontsize
if labelsize == 'Medium'
fontsize := size.normal
fontsize
if labelsize == 'Large'
fontsize := size.large
fontsize
linestyles = line.style_solid
if linestyle == 'Dashed'
linestyles := line.style_dashed
linestyles
if linestyle == 'Dotted'
linestyles := line.style_dotted
linestyles
var DEFAULT_LABEL_SIZE = fontsize
var DEFAULT_LABEL_STYLE = label.style_none
var Rigth_Def = distanceright
var arr_price = array.new_float(0)
var arr_label = array.new_label(0)
Combine_Levels(arr_price, arr_label, currentprice, currentlabel, currentcolor) =>
if array.includes(arr_price, currentprice)
whichindex = array.indexof(arr_price, currentprice)
labelhold = array.get(arr_label, whichindex)
whichtext = label.get_text(labelhold)
label.set_text(labelhold, label.get_text(currentlabel) + ' / ' + whichtext)
label.set_text(currentlabel, '')
label.set_textcolor(labelhold, currentcolor)
else
array.push(arr_price, currentprice)
array.push(arr_label, currentlabel)
extend_to_current(bars) =>
timenow + (time - time ) * bars
if barstate.islast
arr_price := array.new_float(0)
arr_label := array.new_label(0)
if Show_4H_Levels
limit_4H_right = extend_to_current(Rigth_Def)
intrah_limit_right = extend_to_current(Rigth_Def)
intral_limit_right = extend_to_current(Rigth_Def)
var intrah_line = line.new(x1=intrah_time, x2=intrah_limit_right, y1=intrah_open, y2=intrah_open, color=Color_4H_Levels, width=linewidth_def, xloc=xloc.bar_time, style=lineStyle(Style_4H_Levels))
var intral_line = line.new(x1=intral_time, x2=intral_limit_right, y1=intral_open, y2=intral_open, color=Color_4H_Levels, width=linewidth_def, xloc=xloc.bar_time, style=lineStyle(Style_4H_Levels))
line.set_xy1(intrah_line,intrah_time,intrah_open)
line.set_xy2(intrah_line,intrah_limit_right,intrah_open)
line.set_x1(intral_line, intral_time)
line.set_x2(intral_line, intral_limit_right)
line.set_y1(intral_line, intral_open)
line.set_y2(intral_line, intral_open)
daily_limit_right = extend_to_current(Rigth_Def)
dailyh_limit_right = extend_to_current(Rigth_Def)
dailyl_limit_right = extend_to_current(Rigth_Def)
type Candle
float o
float c
float h
float l
int o_idx
int c_idx
int h_idx
int l_idx
box body
line wick_up
line wick_down
type Imbalance
box b
int idx
type CandleSettings
bool show
string htf
int max_display
type Settings
int max_sets
color bull_body
color bull_border
color bull_wick
color bear_body
color bear_border
color bear_wick
int offset
int buffer
int htf_buffer
int width
bool trace_show
color trace_o_color
string trace_o_style
int trace_o_size
color trace_c_color
string trace_c_style
int trace_c_size
color trace_h_color
string trace_h_style
int trace_h_size
color trace_l_color
string trace_l_style
int trace_l_size
string trace_anchor
bool label_show
color label_color
string label_size
bool htf_label_show
color htf_label_color
string htf_label_size
bool htf_timer_show
color htf_timer_color
string htf_timer_size
type CandleSet
Candle candles
Imbalance imbalances
CandleSettings settings
label tfName
label tfTimer
type Helper
string name = "Helper"
Settings settings = Settings.new()
var CandleSettings SettingsHTF1 = CandleSettings.new()
var CandleSettings SettingsHTF2 = CandleSettings.new()
var CandleSettings SettingsHTF3 = CandleSettings.new()
var Candle candles_1 = array.new(0)
var Candle candles_2 = array.new(0)
var Candle candles_3 = array.new(0)
var CandleSet htf1 = CandleSet.new()
htf1.settings := SettingsHTF1
htf1.candles := candles_1
var CandleSet htf2 = CandleSet.new()
htf2.settings := SettingsHTF2
htf2.candles := candles_2
var CandleSet htf3 = CandleSet.new()
htf3.settings := SettingsHTF3
htf3.candles := candles_3
//+------------------------------------------------------------------------------------------------------------+//
//+--- Settings ---+//
//+------------------------------------------------------------------------------------------------------------+//
htf1.settings.show := input.bool(true, "HTF 1 ", inline="htf1")
htf_1 = input.timeframe("15", "", inline="htf1")
htf1.settings.htf := htf_1
htf1.settings.max_display := input.int(4, "", inline="htf1")
htf2.settings.show := input.bool(true, "HTF 2 ", inline="htf2")
htf_2 = input.timeframe("60", "", inline="htf2")
htf2.settings.htf := htf_2
htf2.settings.max_display := input.int(4, "", inline="htf2")
htf3.settings.show := input.bool(true, "HTF 3 ", inline="htf3")
htf_3 = input.timeframe("1D", "", inline="htf3")
htf3.settings.htf := htf_3
htf3.settings.max_display := input.int(4, "", inline="htf3")
settings.max_sets := input.int(6, "Limit to next HTFs only", minval=1, maxval=6)
settings.bull_body := input.color(color.new(#39d23e, 3), "Body ", inline="body")
settings.bear_body := input.color(color.new(#ec0d0d, 4), "", inline="body")
settings.bull_border := input.color(color.rgb(206, 216, 216), "Borders", inline="borders")
settings.bear_border := input.color(color.new(#e5e9ea, 0), "", inline="borders")
settings.bull_wick := input.color(color.new(#e9eeee, 10), "Wick ", inline="wick")
settings.bear_wick := input.color(#f7f9f9, "", inline="wick")
settings.offset := input.int(25, "padding from current candles", minval = 1)
settings.buffer := input.int(1, "space between candles", minval = 1, maxval = 4)
settings.htf_buffer := input.int(10, "space between Higher Timeframes", minval = 1, maxval = 10)
settings.width := input.int(1, "Candle Width", minval = 1, maxval = 4)*2
settings.htf_label_show := input.bool(true, "HTF Label ", inline="HTFlabel")
settings.htf_label_color := input.color(color.new(#e6eef0, 10), "", inline='HTFlabel')
settings.htf_label_size := input.string(size.large, "", , inline="HTFlabel")
// ---------------- إعدادات ----------------
atrPeriod = input.int(10, "ATR Period", minval=1)
factor = input.float(3.0, "Supertrend Multiplier", minval=0.1, step=0.1)
rsiLength = input.int(14, "RSI Length", minval=2)
macdFast = input.int(12, "MACD Fast Length", minval=1)
macdSlow = input.int(26, "MACD Slow Length", minval=1)
macdSig = input.int(9, "MACD Signal Length", minval=1)
emaLen1 = input.int(20, "EMA 20 Length")
emaLen2 = input.int(50, "EMA 50 Length")
tablePos = input.string("top_right", "Table Position",
options= )
// ---------------- Supertrend ----------------
atr = ta.atr(atrPeriod)
upperBand = hl2 - factor * atr
lowerBand = hl2 + factor * atr
var float trend = na
if (close > nz(trend , hl2))
trend := math.max(upperBand, nz(trend , upperBand))
else
trend := math.min(lowerBand, nz(trend , lowerBand))
bull = close > trend
bear = close < trend
buySignal = ta.crossover(close, trend)
sellSignal = ta.crossunder(close, trend)
// ---------------- EMA ----------------
ema20 = ta.ema(close, emaLen1)
ema50 = ta.ema(close, emaLen2)
emaBull = ema20 > ema50
emaBear = ema20 < ema50
// ---------------- RSI ----------------
rsi = ta.rsi(close, rsiLength)
rsiBull = rsi > 50
// ---------------- MACD ----------------
macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow)
signal = ta.ema(macd, macdSig)
macdBull = macd > signal
// ---------------- VWAP ----------------
vwapValue = ta.vwap(close)
vwapBull = close > vwapValue
vwapBear = close < vwapValue
// ---------------- Dashboard ----------------
// نحتاج 8 صفوف: (العنوان + Supertrend + EMA + RSI + MACD + VWAP + FINAL + السعر الحالي)
var table dash = table.new(position=tablePos, columns=2, rows=8, border_width=1)
if barstate.islast
// العناوين
table.cell(dash, 0, 0, "Indicator", text_color=color.white, bgcolor=color.blue)
table.cell(dash, 1, 0, "Signal", text_color=color.white, bgcolor=color.blue)
// Supertrend
table.cell(dash, 0, 1, "Supertrend", text_color=color.white, bgcolor=color.rgb(79, 97, 148))
table.cell(dash, 1, 1, buySignal ? "كول ✅" : sellSignal ? "انعكاس المسار ❌" : bull ? "كول" : "بوت",
text_color=color.white,
bgcolor= buySignal ? color.green : sellSignal ? color.red : bull ? color.green : color.red)
// EMA
table.cell(dash, 0, 2, "EMA 20/50", text_color=color.white, bgcolor=color.rgb(71, 91, 144))
table.cell(dash, 1, 2, emaBull ? "كول" : "بوت",
text_color=color.white, bgcolor=emaBull ? color.green : color.red)
// RSI
table.cell(dash, 0, 3, "RSI", text_color=color.white, bgcolor=color.rgb(66, 85, 139))
table.cell(dash, 1, 3, rsiBull ? "كول" : "بوت",
text_color=color.white, bgcolor=rsiBull ? color.green : color.red)
// MACD
table.cell(dash, 0, 4, "MACD", text_color=color.white, bgcolor=color.rgb(94, 111, 159))
table.cell(dash, 1, 4, macdBull ? "كول" : "بوت",
text_color=color.white, bgcolor=macdBull ? color.green : color.red)
// VWAP
table.cell(dash, 0, 5, "VWAP", text_color=color.white, bgcolor=color.rgb(89, 106, 153))
table.cell(dash, 1, 5, vwapBull ? "كول" : "بوت",
text_color=color.white, bgcolor=vwapBull ? color.green : color.red)
// السعر الحالي
table.cell(dash, 0, 7, "السعر", text_color=color.white, bgcolor=color.rgb(78, 89, 121))
table.cell(dash, 1, 7, str.tostring(close, format.mintick),
text_color=color.white, bgcolor=color.gray)
mohvip//@version=5
indicator(" Fmfm250 ", overlay = true, max_bars_back = 5000, max_lines_count = 500, max_boxes_count = 500, max_labels_count = 500)
// User inputs
prd = input.int(defval=30, title=' Period for Pivot Points', minval=1, maxval=50)
max_num_of_pivots = input.int(defval=6, title=' Maximum Number of Pivots', minval=5, maxval=10)
max_lines = input.int(defval=1, title=' Maximum number of trend lines', minval=1, maxval=10)
show_lines = input.bool(defval=true, title=' Show trend lines')
show_pivots = input.bool(defval=false, title=' Show Pivot Points')
sup_line_color = input(defval = color.lime, title = "Colors", inline = "tcol")
res_line_color = input(defval = color.red, title = "", inline = "tcol")
float ph = ta.pivothigh(high, prd, prd)
float pl = ta.pivotlow(low, prd, prd)
plotshape(ph and show_pivots, style=shape.triangledown, location=location.abovebar, offset=-prd, size=size.tiny)
plotshape(pl and show_pivots, style=shape.triangleup, location=location.belowbar, offset=-prd, size=size.tiny)
// Creating array of pivots
var pivots_high = array.new_float(0)
var pivots_low = array.new_float(0)
var high_ind = array.new_int(0)
var low_ind = array.new_int(0)
if ph
array.push(pivots_high, ph)
array.push(high_ind, bar_index - prd)
if array.size(pivots_high) > max_num_of_pivots // limit the array size
array.shift(pivots_high)
array.shift(high_ind)
if pl
array.push(pivots_low, pl)
array.push(low_ind, bar_index - prd)
if array.size(pivots_low) > max_num_of_pivots // limit the array size
array.shift(pivots_low)
array.shift(low_ind)
// Create arrays to store slopes and lines
var res_lines = array.new_line()
var res_slopes = array.new_float()
len_lines = array.size(res_lines)
if (len_lines >= 1)
for ind = 0 to len_lines - 1
to_delete = array.pop(res_lines)
array.pop(res_slopes)
line.delete(to_delete)
count_slope(ph1, ph2, pos1, pos2) => (ph2 - ph1) / (pos2 - pos1)
if array.size(pivots_high) == max_num_of_pivots
index_of_biggest_slope = 0
for ind1 = 0 to max_num_of_pivots - 2
for ind2 = ind1 + 1 to max_num_of_pivots - 1
p1 = array.get(pivots_high, ind1)
p2 = array.get(pivots_high, ind2)
pos1 = array.get(high_ind, ind1)
pos2 = array.get(high_ind, ind2)
k = count_slope(p1, p2, pos1, pos2)
b = p1 - k * pos1
ok = true
if ind2 - ind1 >= 1 and ok
for ind3 = ind1 + 1 to ind2 - 1
p3 = array.get(pivots_high, ind3)
pos3 = array.get(high_ind, ind3)
if p3 > k * pos3 + b
ok := false
break
pos3 = 0
p_val = p2 + k
if ok
for ind = pos2 + 1 to bar_index
if close > p_val
ok := false
break
pos3 := ind + 1
p_val += k
if ok
if array.size(res_slopes) < max_lines
line = line.new(pos1, p1, pos3, p_val, color=res_line_color)//, extend=extend.right)
array.push(res_lines, line)
array.push(res_slopes, k)
else
max_slope = array.max(res_slopes)
max_slope_ind = array.indexof(res_slopes, max_slope)
if max_lines == 1
max_slope_ind := 0
if k < max_slope
line_to_delete = array.get(res_lines, max_slope_ind)
line.delete(line_to_delete)
new_line = line.new(pos1, p1, pos3, p_val, color=res_line_color)//, extend=extend.right)
array.insert(res_lines, max_slope_ind, new_line)
array.insert(res_slopes, max_slope_ind, k)
array.remove(res_lines, max_slope_ind + 1)
array.remove(res_slopes, max_slope_ind + 1)
if not show_lines
len_l = array.size(res_lines)
if (len_l >= 1)
for ind = 0 to len_l - 1
to_delete = array.pop(res_lines)
array.pop(res_slopes)
line.delete(to_delete)
var sup_lines = array.new_line()
var sup_slopes = array.new_float()
len_lines1 = array.size(sup_lines)
if (len_lines1 >= 1)
for ind = 0 to len_lines1 - 1
to_delete = array.pop(sup_lines)
array.pop(sup_slopes)
line.delete(to_delete)
if array.size(pivots_low) == max_num_of_pivots
for ind1 = 0 to max_num_of_pivots - 2
for ind2 = ind1 + 1 to max_num_of_pivots - 1
p1 = array.get(pivots_low, ind1)
p2 = array.get(pivots_low, ind2)
pos1 = array.get(low_ind, ind1)
pos2 = array.get(low_ind, ind2)
k = count_slope(p1, p2, pos1, pos2)
b = p1 - k * pos1
ok = true
// check if pivot points in the middle of two points is lower
if ind2 - ind1 >= 1 and ok
for ind3 = ind1 + 1 to ind2 - 1
p3 = array.get(pivots_low, ind3)
pos3 = array.get(low_ind, ind3)
if p3 < k * pos3 + b
ok := false
break
pos3 = 0
p_val = p2 + k
if ok
for ind = pos2 + 1 to bar_index
if close < p_val
ok := false
break
pos3 := ind + 1
p_val += k
if ok
if array.size(sup_slopes) < max_lines
line = line.new(pos1, p1, pos3, p_val, color=sup_line_color)//, extend=extend.right)
array.push(sup_lines, line)
array.push(sup_slopes, k)
else
max_slope = array.min(sup_slopes)
max_slope_ind = array.indexof(sup_slopes, max_slope)
if max_lines == 1
max_slope_ind := 0
if k > max_slope
line_to_delete = array.get(sup_lines, max_slope_ind)
line.delete(line_to_delete)
new_line = line.new(pos1, p1, pos3, p_val, color=sup_line_color)//, extend=extend.right)
array.insert(sup_lines, max_slope_ind, new_line)
array.insert(sup_slopes, max_slope_ind, k)
array.remove(sup_lines, max_slope_ind + 1)
array.remove(sup_slopes, max_slope_ind + 1)
if not show_lines
len_l = array.size(sup_lines)
if (len_l >= 1)
for ind = 0 to len_l - 1
to_delete = array.pop(sup_lines)
array.pop(sup_slopes)
line.delete(to_delete)
plotLiq = input.bool(defval=true, title='Liquidity Highs/Lows', group='Enable/Disable Section---------------------------------------------', inline = '01')
/////////////////////////////////////////////////////////////////////////Liquidity Equal Highs
pvtTopColor = input.color(defval=color.new(color.green,85), title='Top Color', group='Liquidity-------------------------------------------------', inline='1')
pvtBtmColor = input.color(defval=color.new(color.red,85), title='Bottom Color', group='Liquidity-------------------------------------------------',inline = '1')
pvtStyle = line.style_solid
pvtMax = input.int(defval=30, title='Maximum Liquidity Displayed', minval=1, maxval=500, group='Liquidity-------------------------------------------------', tooltip='Minimum = 1, Maximum = 500')
delline = input.bool(defval=true, title='Delete After X Bars Through Line', group='Liquidity-------------------------------------------------')
mitdel = input.int(defval=15, title='Mitigated+Line Delete (X Bars)', minval=1, maxval=100, group='Liquidity-------------------------------------------------', tooltip='Line will remain on chart until this many bars after first broken through. Minimum = 1, Maximum = 500')
linebrk = input.bool(defval=true, title='Color After Close Through Line', group='Liquidity-------------------------------------------------')
mitdelcol = input.color(defval=(color.new(#34eb40,0)), title='Mitigated Color', group='Liquidity-------------------------------------------------', tooltip = 'Once broken, line will change to this colour until deleted. Line deletion is controlled by (Mitigated+Line Delete) input control')
//del_pc = input.bool(defval=false, title='', group='Liquidity-------------------------------------------------', inline="m")
//mitdel_pc = input.int(defval=300, title='Only show lines within x% of current price', minval=1, maxval=500, step=50, group='Liquidity-------------------------------------------------', inline="m")
//
brkstyle = line.style_dashed
var line _lowLiqLines = array.new_line()
var line _highLiqLines = array.new_line()
//Functions
isPvtHigh(_index, __high) =>
__high < __high and __high > __high
// | <-- pivot high
// ||| <-- candles
// 210 <-- candle index
isPvtLow(_index, __low) =>
__low > __low and __low < __low
// ||| <-- candles
// | <-- pivot low
// 210 <-- candle index
//Function to Calculte Line Length
_controlLine(_lines, __high, __low) =>
if array.size(_lines) > 0
for i = array.size(_lines) - 1 to 0 by 1
_line = array.get(_lines, i)
_lineLow = line.get_y1(_line)
_lineHigh = line.get_y2(_line)
_lineRight = line.get_x2(_line)
if na or (bar_index == _lineRight and not((__high > _lineLow and __low < _lineLow) or (__high > _lineHigh and __low < _lineHigh)))
line.set_x2(_line, bar_index + 1)
//deletes line if not within X% of current last price
//pch = (mitdel_pc/100) + 1
//pcl = 1 - (mitdel_pc/100)
//cprice = close
//highpc = (cprice * pch)
//lowpc = (cprice * pcl)
//if del_pc
//if _lineLow < close + mitdel_pc //) and > (close*0.98)) //if Y2 < close*1.05
//line.set_color(_line, color.new(color.white,50))
//line.delete(_line)
///deletes line if more than X bars pass through
if _lineRight > bar_index and _lineRight < bar_index and linebrk
line.set_color(_line,mitdelcol)
line.set_style(_line, brkstyle)
if _lineRight < bar_index and delline
line.delete(_line)
//Pivot Low Line Plotting
if isPvtLow(0, low) and plotLiq
_lowPVT = line.new(x1=bar_index - 1, y1=low , x2=bar_index, y2=low , extend=extend.none, color=pvtBtmColor, style=pvtStyle)
if array.size(_lowLiqLines) >= pvtMax
line.delete(array.shift(_lowLiqLines))
array.push(_lowLiqLines, _lowPVT)
//Pivot High Line Plotting
if isPvtHigh(0, high) and plotLiq
_highPVT = line.new(x1=bar_index - 1, y1=high , x2=bar_index, y2=high , extend=extend.none, color=pvtTopColor, style=pvtStyle)
if array.size(_highLiqLines) >= pvtMax
line.delete(array.shift(_highLiqLines))
array.push(_highLiqLines, _highPVT)
if plotLiq
_controlLine(_lowLiqLines, high, low)
_controlLine(_highLiqLines, high, low)
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//@version=5
// indicator("ابو فيصل 12", overlay=true, max_labels_count=500,explicit_plot_zorder = 1000,max_lines_count = 500,max_boxes_count = 500,precision = 10)
// Control Colors
sky = color.new(color.rgb(0, 219, 255), 60)
PunkCyan = #2157f3
PunkPink = #ff1100
PunkBuy = color.new(color.rgb(0, 255, 100), 50)
PunkSell = color.new(color.rgb(255, 17, 0), 50)
// Get user settings
showBuySell = input(true, "Smart Signals", group="Smart Signals", tooltip="Confirm that the price will move strongly in the direction that the trend points")
sensitivity = 1.3
float percentStop = na
offsetSignal = 5
smooth1 = 35
smooth2 = 45
lineColor = sky
labelColor = sky
showEmas = false
srcEma1 = close
lenEma1 = 55
srcEma2 = close
lenEma2 = 200
//showSwing = input(false, "Show SFP Signals", group="SFP SIGNALS")
//prdSwing = input.int(10, "SFP Period", 2, group="SFP SIGNALS")
colorPos = input(color.new(PunkBuy, 50), "Buy Signal Color")
colorNeg = input(color.new(PunkSell, 50), "Sell Signal Color")
showDashboard = input(true, "Show Dashboard", group="TREND DASHBOARD")
locationDashboard = input.string("Top Right", "Table Location", , group="TREND DASHBOARD")
tableTextColor = input(color.white, "Table Text Color", group="TREND DASHBOARD")
tableBgColor = input(#48419f, "Table Background Color", group="TREND DASHBOARD")
sizeDashboard = input.string("Small", "Table Size", , group="TREND DASHBOARD")
// Functions
smoothrng(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
smoothrng = ta.ema(avrng, wper) * m
rngfilt(x, r) =>
rngfilt = x
rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r
percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100
securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on)
swingPoints(prd) =>
pivHi = ta.pivothigh(prd, prd)
pivLo = ta.pivotlow (prd, prd)
last_pivHi = ta.valuewhen(pivHi, pivHi, 1)
last_pivLo = ta.valuewhen(pivLo, pivLo, 1)
hh = pivHi and pivHi > last_pivHi ? pivHi : na
lh = pivHi and pivHi < last_pivHi ? pivHi : na
hl = pivLo and pivLo > last_pivLo ? pivLo : na
ll = pivLo and pivLo < last_pivLo ? pivLo : na
f_chartTfInMinutes() =>
float _resInMinutes = timeframe.multiplier * (
timeframe.isseconds ? 1 :
timeframe.isminutes ? 1. :
timeframe.isdaily ? 60. * 24 :
timeframe.isweekly ? 60. * 24 * 7 :
timeframe.ismonthly ? 60. * 24 * 30.4375 : na)
f_kc(src, len, sensitivity) =>
basis = ta.sma(src, len)
span = ta.atr(len)
wavetrend(src, chlLen, avgLen) =>
esa = ta.ema(src, chlLen)
d = ta.ema(math.abs(src - esa), chlLen)
ci = (src - esa) / (0.015 * d)
wt1 = ta.ema(ci, avgLen)
wt2 = ta.sma(wt1, 3)
f_top_fractal(src) => src < src and src < src and src > src and src > src
f_bot_fractal(src) => src > src and src > src and src < src and src < src
f_fractalize (src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0
f_findDivs(src, topLimit, botLimit) =>
fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na
fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na
highPrev = ta.valuewhen(fractalTop, src , 0)
highPrice = ta.valuewhen(fractalTop, high , 0)
lowPrev = ta.valuewhen(fractalBot, src , 0)
lowPrice = ta.valuewhen(fractalBot, low , 0)
bearSignal = fractalTop and high > highPrice and src < highPrev
bullSignal = fractalBot and low < lowPrice and src > lowPrev
// Get components
source = close
smrng1 = smoothrng(source, 27, 1.5)
smrng2 = smoothrng(source, 55, sensitivity)
smrng = (smrng1 + smrng2) / 2
filt = rngfilt(source, smrng)
up = 0.0, up := filt > filt ? nz(up ) + 1 : filt < filt ? 0 : nz(up )
dn = 0.0, dn := filt < filt ? nz(dn ) + 1 : filt > filt ? 0 : nz(dn )
bullCond = bool(na), bullCond := source > filt and source > source and up > 0 or source > filt and source < source and up > 0
bearCond = bool(na), bearCond := source < filt and source < source and dn > 0 or source < filt and source > source and dn > 0
lastCond = 0, lastCond := bullCond ? 1 : bearCond ? -1 : lastCond
bull = bullCond and lastCond == -1
bear = bearCond and lastCond == 1
countBull = ta.barssince(bull)
countBear = ta.barssince(bear)
trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0
rsi = ta.rsi(close, 21)
rsiOb = rsi > 70 and rsi > ta.ema(rsi, 10)
rsiOs = rsi < 30 and rsi < ta.ema(rsi, 10)
dHigh = securityNoRep(syminfo.tickerid, "D", high )
dLow = securityNoRep(syminfo.tickerid, "D", low )
dClose = securityNoRep(syminfo.tickerid, "D", close )
ema1 = ta.ema(srcEma1, lenEma1)
ema2 = ta.ema(srcEma2, lenEma2)
ema = ta.ema(close, 144)
emaBull = close > ema
equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds
higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds
too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10)
var dashboard_loc = locationDashboard == "Top Center" ? position.top_right : locationDashboard == "Middle Right" ? position.middle_right : locationDashboard == "Bottom Right" ? position.bottom_right : locationDashboard == "Top Right" ? position.top_center : locationDashboard == "Middle Center" ? position.middle_center : locationDashboard == "Bottom Center" ? position.bottom_center : locationDashboard == "Top Left" ? position.top_left : locationDashboard == "Middle Left" ? position.middle_left : position.bottom_left
var dashboard_size = sizeDashboard == "Large" ? size.tiny : sizeDashboard == "Normal" ? size.normal : sizeDashboard == "Small" ? size.small : size.tiny
var dashboard = showDashboard ? table.new(dashboard_loc, 2, 15, tableBgColor, #000000, 2, tableBgColor, 1) : na
dashboard_cell(column, row, txt, signal=false) => table.cell(dashboard, column, row, txt, 0, 0, signal ? #000000 : tableTextColor, text_size=dashboard_size)
dashboard_cell_bg(column, row, col) => table.cell_set_bgcolor(dashboard, column, row, col)
if barstate.islast and showDashboard
dashboard_cell(0, 1 , "المتوقع")
dashboard_cell(0, 2 ," الحالي")
dashboard_cell(0, 3 , "فوليوم")
dashboard_cell(1, 1 , trigger ? "كول" : "بوت", true), dashboard_cell_bg(1, 1, trigger ? color.rgb(89, 255, 12) : color.rgb(255, 7, 7))
dashboard_cell(1, 2 , emaBull ?"كول":"بوت", true), dashboard_cell_bg(1, 2, emaBull ? color.rgb(107, 255, 8) : color.rgb(248, 11, 3))
dashboard_cell(1, 3 , str.tostring(volume))
// Constants
color CLEAR = color.rgb(0,0,0,100)
eq_threshold = input.float(0.3, '', minval = 0, maxval = 0.5, step = 0.1, group = 'Market Structure',inline = 'equilibrium_zone')
showSwing = input.bool(false, 'Swing Points', group="Market Structure",inline="3")
swingSize_swing = input.int(10, "Swing Point Period",inline="4", group="Market Structure")
label_sizes_s =input.string("Medium", options= , title="Label Size",inline="4", group="Market Structure")
label_size_buysell_s = label_sizes_s == "Small" ? size.tiny : label_sizes_s == "Medium" ? size.small : label_sizes_s == "Large" ? size.normal : label_sizes_s == "Medium2" ? size.normal : label_sizes_s == "Large2" ? size.large : size.huge
label_size_buysell = label_sizes_s == "Small" ? size.tiny : label_sizes_s == "Medium" ? size.small : label_sizes_s == "Large" ? size.normal : label_sizes_s == "Medium2" ? size.normal : label_sizes_s == "Large2" ? size.large : size.huge
swingColor = input.color(#787b86 , '', group="Market Structure",inline="3")
swingSize = 3
length_eqh = 3
//----------------------------------------}
//Key Levels
//----------------------------------------{
var Show_4H_Levels = input.bool(defval=false, title='4H', group='Key Levels', inline='4H')
Color_4H_Levels = input.color(title='', defval=color.orange, group='Key Levels', inline='4H')
Style_4H_Levels = input.string('Dotted', ' Style', , group="Key Levels",inline="4H")
Text_4H_Levels = input.bool(defval=false, title='Shorten', group='Key Levels', inline='4H')
labelsize = input.string(defval='Medium', title='Text Size', options= ,group = "Key Levels", inline='H')
var pihtext = Text_4H_Levels ? '-4H-' :'مقاومة 4'
displayStyle = 'Standard'
distanceright = 25
radistance = 250
linesize = 'Small'
linestyle = 'Solid'
var untested_monday = false
bosConfType = 'Candle High'//input.string('Candle Close', 'BOS Confirmation', , tooltip='Choose whether candle close/wick above previous swing point counts as a BOS.')
MSS = true//input.bool(false, 'Show MSS', tooltip='Renames the first counter t_MS BOS to MSS' )
// showSwing = false//input.bool(true, 'Show Swing Points', tooltip='Show or hide HH, LH, HL, LL')
// Functions
lineStyle(x) =>
switch x
'Solid' => line.style_solid
'Dashed' => line.style_dashed
'Dotted' => line.style_dotted
pivot_high_found = ta.pivothigh(high, swingSize_swing, swingSize_swing)
pivot_low_found = ta.pivotlow(low, swingSize_swing, swingSize_swing)
var float prevHigh_s = na,var float prevLow_s = na,var int prevHighIndex_s = na,var int prevLowIndex_s = na
bool higher_highs = false, bool lower_highs = false, bool higher_lows = false, bool lower_lows = false
var int prevSwing_s = 0
if not na(pivot_high_found)
if pivot_high_found >= prevHigh_s
higher_highs := true
prevSwing_s := 2
else
lower_highs := true
prevSwing_s := 1
prevHigh_s := pivot_high_found
prevHighIndex_s := bar_index - swingSize_swing
if not na(pivot_low_found)
if pivot_low_found >= prevLow_s
higher_lows := true
prevSwing_s := -1
else
lower_lows := true
prevSwing_s := -2
prevLow_s := pivot_low_found
prevLowIndex_s := bar_index - swingSize_swing
// ———————————————————— Global data {
//Using current bar data for HTF highs and lows instead of security to prevent future leaking
var htfH = open
var htfL = open
if close > htfH
htfH:= close
if close < htfL
htfL := close
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--------------------------------------------------------------- Key Levels
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var monday_time = time
var monday_high = high
var monday_low = low
= request.security(syminfo.tickerid, 'W', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
if weekly_time != weekly_time
untested_monday := false
untested_monday
untested_monday := true
monday_low
linewidthint = 1
if linesize == 'Small'
linewidthint := 1
linewidthint
if linesize == 'Medium'
linewidthint := 2
linewidthint
if linesize == 'Large'
linewidthint := 3
linewidthint
var linewidth_def = linewidthint
fontsize = size.small
if labelsize == 'Small'
fontsize := size.small
fontsize
if labelsize == 'Medium'
fontsize := size.normal
fontsize
if labelsize == 'Large'
fontsize := size.large
fontsize
linestyles = line.style_solid
if linestyle == 'Dashed'
linestyles := line.style_dashed
linestyles
if linestyle == 'Dotted'
linestyles := line.style_dotted
linestyles
var DEFAULT_LABEL_SIZE = fontsize
var DEFAULT_LABEL_STYLE = label.style_none
var Rigth_Def = distanceright
var arr_price = array.new_float(0)
var arr_label = array.new_label(0)
Combine_Levels(arr_price, arr_label, currentprice, currentlabel, currentcolor) =>
if array.includes(arr_price, currentprice)
whichindex = array.indexof(arr_price, currentprice)
labelhold = array.get(arr_label, whichindex)
whichtext = label.get_text(labelhold)
label.set_text(labelhold, label.get_text(currentlabel) + ' / ' + whichtext)
label.set_text(currentlabel, '')
label.set_textcolor(labelhold, currentcolor)
else
array.push(arr_price, currentprice)
array.push(arr_label, currentlabel)
extend_to_current(bars) =>
timenow + (time - time ) * bars
if barstate.islast
arr_price := array.new_float(0)
arr_label := array.new_label(0)
if Show_4H_Levels
limit_4H_right = extend_to_current(Rigth_Def)
intrah_limit_right = extend_to_current(Rigth_Def)
intral_limit_right = extend_to_current(Rigth_Def)
var intrah_line = line.new(x1=intrah_time, x2=intrah_limit_right, y1=intrah_open, y2=intrah_open, color=Color_4H_Levels, width=linewidth_def, xloc=xloc.bar_time, style=lineStyle(Style_4H_Levels))
var intrah_label = label.new(x=intrah_limit_right, y=intrah_open, text=pihtext, style=DEFAULT_LABEL_STYLE, textcolor=Color_4H_Levels, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var intral_line = line.new(x1=intral_time, x2=intral_limit_right, y1=intral_open, y2=intral_open, color=Color_4H_Levels, width=linewidth_def, xloc=xloc.bar_time, style=lineStyle(Style_4H_Levels))
line.set_xy1(intrah_line,intrah_time,intrah_open)
line.set_xy2(intrah_line,intrah_limit_right,intrah_open)
label.set_xy(intrah_label,intrah_limit_right,intrah_open)
label.set_text(intrah_label, pihtext)
line.set_x1(intral_line, intral_time)
line.set_x2(intral_line, intral_limit_right)
line.set_y1(intral_line, intral_open)
line.set_y2(intral_line, intral_open)
Combine_Levels(arr_price, arr_label, intrah_open, intrah_label, Color_4H_Levels)
daily_limit_right = extend_to_current(Rigth_Def)
dailyh_limit_right = extend_to_current(Rigth_Def)
dailyl_limit_right = extend_to_current(Rigth_Def)
type Candle
float o
float c
float h
float l
int o_idx
int c_idx
int h_idx
int l_idx
box body
line wick_up
line wick_down
type Imbalance
box b
int idx
type CandleSettings
bool show
string htf
int max_display
type Settings
int max_sets
color bull_body
color bull_border
color bull_wick
color bear_body
color bear_border
color bear_wick
int offset
int buffer
int htf_buffer
int width
bool trace_show
color trace_o_color
string trace_o_style
int trace_o_size
color trace_c_color
string trace_c_style
int trace_c_size
color trace_h_color
string trace_h_style
int trace_h_size
color trace_l_color
string trace_l_style
int trace_l_size
string trace_anchor
bool label_show
color label_color
string label_size
bool htf_label_show
color htf_label_color
string htf_label_size
bool htf_timer_show
color htf_timer_color
string htf_timer_size
type CandleSet
Candle candles
Imbalance imbalances
CandleSettings settings
label tfName
label tfTimer
type Helper
string name = "Helper"
Settings settings = Settings.new()
var CandleSettings SettingsHTF1 = CandleSettings.new()
var CandleSettings SettingsHTF2 = CandleSettings.new()
var CandleSettings SettingsHTF3 = CandleSettings.new()
var Candle candles_1 = array.new(0)
var Candle candles_2 = array.new(0)
var Candle candles_3 = array.new(0)
var CandleSet htf1 = CandleSet.new()
htf1.settings := SettingsHTF1
htf1.candles := candles_1
var CandleSet htf2 = CandleSet.new()
htf2.settings := SettingsHTF2
htf2.candles := candles_2
var CandleSet htf3 = CandleSet.new()
htf3.settings := SettingsHTF3
htf3.candles := candles_3
//+------------------------------------------------------------------------------------------------------------+//
//+--- Settings ---+//
//+------------------------------------------------------------------------------------------------------------+//
htf1.settings.show := input.bool(true, "HTF 1 ", inline="htf1")
htf_1 = input.timeframe("15", "", inline="htf1")
htf1.settings.htf := htf_1
htf1.settings.max_display := input.int(4, "", inline="htf1")
htf2.settings.show := input.bool(true, "HTF 2 ", inline="htf2")
htf_2 = input.timeframe("60", "", inline="htf2")
htf2.settings.htf := htf_2
htf2.settings.max_display := input.int(4, "", inline="htf2")
htf3.settings.show := input.bool(true, "HTF 3 ", inline="htf3")
htf_3 = input.timeframe("1D", "", inline="htf3")
htf3.settings.htf := htf_3
htf3.settings.max_display := input.int(4, "", inline="htf3")
settings.max_sets := input.int(6, "Limit to next HTFs only", minval=1, maxval=6)
settings.bull_body := input.color(color.new(#0efd16, 3), "Body ", inline="body")
settings.bear_body := input.color(color.new(#ec0808, 0), "", inline="body")
settings.bull_border := input.color(color.rgb(159, 159, 169), "Borders", inline="borders")
settings.bear_border := input.color(color.new(#e5e9ea, 0), "", inline="borders")
settings.bull_wick := input.color(color.new(#e9eeee, 10), "Wick ", inline="wick")
settings.bear_wick := input.color(#f7f9f9, "", inline="wick")
settings.offset := input.int(25, "padding from current candles", minval = 1)
settings.buffer := input.int(1, "space between candles", minval = 1, maxval = 4)
settings.htf_buffer := input.int(10, "space between Higher Timeframes", minval = 1, maxval = 10)
settings.width := input.int(1, "Candle Width", minval = 1, maxval = 4)*2
settings.htf_label_show := input.bool(true, "HTF Label ", inline="HTFlabel")
settings.htf_label_color := input.color(color.new(color.black, 10), "", inline='HTFlabel')
settings.htf_label_size := input.string(size.large, "", , inline="HTFlabel")
//+------------------------------------------------------------------------------------------------------------+//
//+--- Variables ---+//
//+------------------------------------------------------------------------------------------------------------+//
Helper helper = Helper.new()
color color_transparent = #ffffff00
//+------------------------------------------------------------------------------------------------------------+//
//+--- Internal Functions ---+//
//+------------------------------------------------------------------------------------------------------------+//
method LineStyle(Helper helper, string style) =>
helper.name := style
out = switch style
'----' => line.style_dashed
'····' => line.style_dotted
=> line.style_solid
method ValidTimeframe(Helper helper, string HTF) =>
helper.name := HTF
if timeframe.in_seconds(HTF) >= timeframe.in_seconds("D") and timeframe.in_seconds(HTF) > timeframe.in_seconds()
true
else
n1 = timeframe.in_seconds()
n2 = timeframe.in_seconds(HTF)
n3 = n1 % n2
(n1 < n2 and math.round(n2/n1) == n2/n1)
method HTFName(Helper helper, string HTF) =>
helper.name := "HTFName"
formatted = HTF
seconds = timeframe.in_seconds(HTF)
if seconds < 60
formatted := str.tostring(seconds) + "s"
else if (seconds / 60) < 60
formatted := str.tostring((seconds/60)) + "m"
else if (seconds/60/60) < 24
formatted := str.tostring((seconds/60/60)) + "H"
formatted
method HTFEnabled(Helper helper) =>
helper.name := "HTFEnabled"
int enabled =0
enabled += htf1.settings.show ? 1 : 0
enabled += htf2.settings.show ? 1 : 0
enabled += htf3.settings.show ? 1 : 0
int last = math.min(enabled, settings.max_sets)
last
method CandleSetHigh(Helper helper, Candle candles, float h) =>
helper.name := "CandlesSetHigh"
float _h = h
if array.size(candles) > 0
for i = 0 to array.size(candles)-1
Candle c = array.get(candles, i)
if c.h > _h
_h := c.h
_h
method CandlesHigh(Helper helper, Candle candles) =>
helper.name := "CandlesHigh"
h = 0.0
int cnt = 0
int last = helper.HTFEnabled()
if htf1.settings.show and helper.ValidTimeframe(htf1.settings.htf)
h := helper.CandleSetHigh(htf1.candles, h)
cnt += 1
if htf2.settings.show and helper.ValidTimeframe(htf2.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf2.candles, h)
cnt +=1
if htf3.settings.show and helper.ValidTimeframe(htf3.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf3.candles, h)
cnt += 1
if array.size(candles) > 0
for i = 0 to array.size(candles)-1
Candle c = array.get(candles, i)
if c.h > h
h := c.h
h
method Reorder(CandleSet candleSet, int offset) =>
size = candleSet.candles.size()
if size > 0
for i = size-1 to 0
Candle candle = candleSet.candles.get(i)
t_buffer = offset + ((settings.width+settings.buffer)*(size-i-1))
box.set_left(candle.body, bar_index + t_buffer)
box.set_right(candle.body, bar_index + settings.width + t_buffer)
line.set_x1(candle.wick_up, bar_index+((settings.width)/2) + t_buffer)
line.set_x2(candle.wick_up, bar_index+((settings.width)/2) + t_buffer)
line.set_x1(candle.wick_down, bar_index+((settings.width)/2) + t_buffer)
line.set_x2(candle.wick_down, bar_index+((settings.width)/2) + t_buffer)
candleSet
top = helper.CandlesHigh(candleSet.candles)
left = bar_index + offset + ((settings.width+settings.buffer)*(size-1))/2
if settings.htf_label_show
var label l = candleSet.tfName
string lbl = helper.HTFName(candleSet.settings.htf)
if settings.htf_timer_show
lbl += "\n"
if not na(l)
label.set_xy(l, left, top)
else
l := label.new(left, top, lbl, color=color_transparent, textcolor = settings.htf_label_color, style=label.style_label_down, size = settings.htf_label_size)
if settings.htf_timer_show
var label t = candleSet.tfTimer
if not na(t)
label.set_xy(t, left, top)
candleSet
method FindImbalance(CandleSet candleSet) =>
if barstate.isrealtime or barstate.islast
if candleSet.imbalances.size() > 0
for i = candleSet.imbalances.size()-1 to 0
Imbalance del = candleSet.imbalances.get(i)
box.delete(del.b)
candleSet.imbalances.pop()
if candleSet.candles.size() > 3
for i = 1 to candleSet.candles.size() -3
candle1 = candleSet.candles.get(i)
candle2 = candleSet.candles.get(i+2)
candle3 = candleSet.candles.get(i+1)
method Monitor(CandleSet candleSet) =>
HTFBarTime = time(candleSet.settings.htf)
isNewHTFCandle = ta.change(HTFBarTime)
if isNewHTFCandle
Candle candle = Candle.new()
candle.o := open
candle.c := close
candle.h := high
candle.l := low
candle.o_idx := bar_index
candle.c_idx := bar_index
candle.h_idx := bar_index
candle.l_idx := bar_index
bull = candle.c > candle.o
candle.body := box.new(bar_index, math.max(candle.o, candle.c), bar_index+2, math.min(candle.o, candle.c), bull ? settings.bull_border : settings.bear_border, 1, bgcolor = bull ? settings.bull_body : settings.bear_body)
candle.wick_up := line.new(bar_index+1, candle.h, bar_index, math.max(candle.o, candle.c), color=bull ? settings.bull_wick : settings.bear_wick)
candle.wick_down := line.new(bar_index+1, math.min(candle.o, candle.c), bar_index, candle.l, color=bull ? settings.bull_wick : settings.bear_wick)
candleSet.candles.unshift(candle)
if candleSet.candles.size() > candleSet.settings.max_display
Candle delCandle = array.pop(candleSet.candles)
box.delete(delCandle.body)
line.delete(delCandle.wick_up)
line.delete(delCandle.wick_down)
candleSet
method Update(CandleSet candleSet, int offset, bool showTrace) =>
if candleSet.candles.size() > 0
Candle candle = candleSet.candles.first()
candle.h_idx := high > candle.h ? bar_index : candle.h_idx
candle.h := high > candle.h ? high : candle.h
candle.l_idx := low < candle.l ? bar_index : candle.l_idx
candle.l := low < candle.l ? low : candle.l
candle.c := close
candle.c_idx := bar_index
bull = candle.c > candle.o
box.set_top(candle.body, candle.o)
box.set_bottom(candle.body, candle.c)
box.set_bgcolor(candle.body, bull ? settings.bull_body : settings.bear_body)
box.set_border_color(candle.body, bull ? settings.bull_border : settings.bear_border)
line.set_color(candle.wick_up, bull ? settings.bull_wick : settings.bear_wick)
line.set_color(candle.wick_down, bull ? settings.bull_wick : settings.bear_wick)
line.set_y1(candle.wick_up, candle.h)
line.set_y2(candle.wick_up, math.max(candle.o, candle.c))
line.set_y1(candle.wick_down, candle.l)
line.set_y2(candle.wick_down, math.min(candle.o, candle.c))
if barstate.isrealtime or barstate.islast
candleSet.Reorder(offset)
candleSet
int cnt = 0
int last = helper.HTFEnabled()
int offset = settings.offset
if htf1.settings.show and helper.ValidTimeframe(htf1.settings.htf)
bool showTrace = false
if settings.trace_anchor == "First Timeframe"
showTrace := true
if settings.trace_anchor == "Last Timeframe" and settings.max_sets == 1
showTrace := true
htf1.Monitor().Update(offset, showTrace)
cnt +=1
offset += cnt > 0 ? (htf1.candles.size() * settings.width) + (htf1.candles.size() > 0 ? htf1.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf2.settings.show and helper.ValidTimeframe(htf2.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf2.Monitor().Update(offset, showTrace)
cnt+=1
offset += cnt > 0 ? (htf2.candles.size() * settings.width) + (htf2.candles.size() > 0 ? htf2.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf3.settings.show and helper.ValidTimeframe(htf3.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf3.Monitor().Update(offset, showTrace)
cnt+=1
offset += cnt > 0 ? (htf3.candles.size() * settings.width) + (htf3.candles.size() > 0 ? htf3.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
// =======================
// إعدادات مناطق العرض والطلب
// =======================
zigzagLen = input.int(9, 'ZigZag Length', group = 'Order Block Settings')
numberObShow = input.int(1, 'عدد مناطق العرض والطلب المعروضة', group = 'Order Block Settings', minval = 1, maxval = 10)
bearishOrderblockColor = input.color(color.new(#dc1515, 18), title = 'لون منطقة العرض', group = 'Order Block Settings')
bullishOrderblockColor = input.color(color.new(#58bd0f, 10), title = 'لون منطقة الطلب', group = 'Order Block Settings')
// إعدادات نسبة القوة
showStrengthLabels = input.bool(true, 'عرض نسبة القوة', group = 'Strength Settings')
strengthThreshold = input.int(60, 'حد التنبيه', group = 'Strength Settings', minval = 50, maxval = 90)
enableAlert = input.bool(true, 'تفعيل التنبيهات', group = 'Strength Settings')
// أنواع البيانات
type orderblock
float value
int barStart
int barEnd
box block
bool broken
label supplyLabel
label demandLabel
// المصفوفات
var array bullishOrderblock = array.new()
var array bearishOrderblock = array.new()
var array highValIndex = array.new()
var array lowValIndex = array.new()
var array highVal = array.new_float()
var array lowVal = array.new_float()
// المتغيرات
var bool drawUp = false
var bool drawDown = false
var string lastState = na
var bool to_up = false
var bool to_down = false
var int trend = 1
atr = ta.atr(14)
// حساب الاتجاه
to_up := high >= ta.highest(high, zigzagLen)
to_down := low <= ta.lowest(low, zigzagLen)
trend := trend == 1 and to_down ? -1 : trend == -1 and to_up ? 1 : trend
// تحديد تغيير الاتجاه للأعلى
if ta.change(trend) != 0 and trend == 1
array.push(highValIndex, time )
array.push(highVal, high )
if array.size(lowVal) > 1
drawUp := false
// تحديد تغيير الاتجاه للأسفل
if ta.change(trend) != 0 and trend == -1
array.push(lowValIndex, time )
array.push(lowVal, low )
if array.size(highVal) > 1
drawDown := false
// دالة حساب نسبة القوة (من إجمالي 100)
calculateStrengthRatio() =>
float supplyStrength = 0.0
float demandStrength = 0.0
// حساب قوة العرض
int supplyTouches = 0
for i = 1 to 20
if i < bar_index
if close < open
supplyTouches += 1
// حساب قوة الطلب
int demandTouches = 0
for i = 1 to 20
if i < bar_index
if close > open
demandTouches += 1
// حساب النسب من إجمالي الحجم
float avgVolume = ta.sma(volume, 20)
float volumeRatio = volume / avgVolume
// حساب قوة الاتجاه
float rsiValue = ta.rsi(close, 14)
if rsiValue > 50
demandStrength := rsiValue
supplyStrength := 100 - rsiValue
else
supplyStrength := 100 - rsiValue
demandStrength := rsiValue
// إنشاء منطقة عرض (Bearish Order Block)
if array.size(lowVal) > 1 and drawDown == false
if close < array.get(lowVal, array.size(lowVal) - 1)
drawDown := true
lastState := 'down'
orderblock newOrderblock = orderblock.new()
float max = 0
int bar = na
for i = (time - array.get(lowValIndex, array.size(lowValIndex) - 1) - (time - time )) / (time - time ) to 0 by 1
if high > max
max := high
bar := time
newOrderblock.barStart := bar
newOrderblock.barEnd := time
newOrderblock.broken := false
newOrderblock.value := max
// جعل الخط نحيف بدلاً من صندوق
newOrderblock.block := box.new(
left = newOrderblock.barStart,
top = newOrderblock.value,
right = newOrderblock.barEnd,
bottom = newOrderblock.value - atr * 0.20,
xloc = xloc.bar_time,
bgcolor = bearishOrderblockColor,
border_width = 1,
border_color = color.new(#cd1212, 0))
// حساب النسب
= calculateStrengthRatio()
newOrderblock.supplyLabel := na
newOrderblock.demandLabel := na
if showStrengthLabels
// قوة العرض فوق الخط
newOrderblock.supplyLabel := label.new(
x = time,
y = newOrderblock.value + atr * 0.5,
text = "عرض: "+ str.tostring(supplyStr, "#") + "%",
xloc = xloc.bar_time,
yloc = yloc.price,
color = supplyStr >= strengthThreshold ? color.new(color.red, 0) : color.new(color.orange, 0),
textcolor = color.white,
style = label.style_label_down,
size = size.normal)
// قوة الطلب تحت الخط
newOrderblock.demandLabel := label.new(
x = time,
y = newOrderblock.value - atr * 0.5,
text = " طلب" + str.tostring(demandStr, "#") + "%",
xloc = xloc.bar_time,
yloc = yloc.price,
color = color.new(color.gray, 30),
textcolor = color.white,
style = label.style_label_up,
size = size.small)
// تنبيه عند تجاوز الحد
if enableAlert and supplyStr >= strengthThreshold
alert("تنبيه: قوة العرض " + str.tostring(supplyStr, "#") + "% - تجاوزت " + str.tostring(strengthThreshold) + "%", alert.freq_once_per_bar)
array.push(bearishOrderblock, newOrderblock)
if array.size(bearishOrderblock) > 20
oldBlock = array.shift(bearishOrderblock)
if not na(oldBlock.supplyLabel)
label.delete(oldBlock.supplyLabel)
if not na(oldBlock.demandLabel)
label.delete(oldBlock.demandLabel)
// إنشاء منطقة طلب (Bullish Order Block)
if array.size(highVal) > 1 and drawUp == false
if close > array.get(highVal, array.size(highVal) - 1)
drawUp := true
lastState := 'up'
orderblock newOrderblock = orderblock.new()
float min = 999999999
int bar = na
for i = (time - array.get(highValIndex, array.size(highValIndex) - 1) - (time - time )) / (time - time ) to 0 by 1
if low < min
min := low
bar := time
newOrderblock.barStart := bar
newOrderblock.barEnd := time
newOrderblock.broken := false
newOrderblock.value := min
// جعل الخط نحيف بدلاً من صندوق
newOrderblock.block := box.new(
left = newOrderblock.barStart,
top = newOrderblock.value + atr *0.30,
right = newOrderblock.barEnd,
bottom = newOrderblock.value,
xloc = xloc.bar_time,
bgcolor = bullishOrderblockColor,
border_width = 1,
border_color = color.new(#52ae10, 0))
// حساب النسب
= calculateStrengthRatio()
newOrderblock.supplyLabel := na
newOrderblock.demandLabel := na
if showStrengthLabels
// قوة الطلب تحت الخط
newOrderblock.demandLabel := label.new(
x = time,
y = newOrderblock.value - atr * 0.5,
text = "طلب: " + str.tostring(demandStr, "#") + "%",
xloc = xloc.bar_time,
yloc = yloc.price,
color = demandStr >= strengthThreshold ? color.new(color.green, 0) : color.new(color.blue, 0),
textcolor = color.white,
style = label.style_label_up,
size = size.normal)
// تنبيه عند تجاوز الحد
if enableAlert and demandStr >= strengthThreshold
alert("تنبيه: قوة الطلب " + str.tostring(demandStr, "#") + "% - تجاوزت " + str.tostring(strengthThreshold) + "%", alert.freq_once_per_bar)
array.push(bullishOrderblock, newOrderblock)
if array.size(bullishOrderblock) > 20
oldBlock = array.shift(bullishOrderblock)
if not na(oldBlock.supplyLabel)
label.delete(oldBlock.supplyLabel)
if not na(oldBlock.demandLabel)
label.delete(oldBlock.demandLabel)
// متغيرات العداد
var int activeBullishCount = 0
var int activeBearishCount = 0
// تحديث مناطق الطلب
if array.size(bullishOrderblock) > 0
orderblock testOrderblock = na
int counter = 0
activeBullishCount := 0
for i = array.size(bullishOrderblock) - 1 to 0 by 1
testOrderblock := array.get(bullishOrderblock, i)
if counter < numberObShow
testOrderblock.block.set_right(time)
// تحديث النسب المتحركة
= calculateStrengthRatio()
if showStrengthLabels
if not na(testOrderblock.demandLabel)
label.set_x(testOrderblock.demandLabel, time)
label.set_text(testOrderblock.demandLabel, "طلب: " + str.tostring(demandStr, "#") + "%")
label.set_color(testOrderblock.demandLabel, demandStr >= strengthThreshold ? color.new(color.green, 0) : color.new(color.blue, 0))
if not na(testOrderblock.supplyLabel)
label.set_x(testOrderblock.supplyLabel, time)
label.set_text(testOrderblock.supplyLabel, "عرض: " + str.tostring(supplyStr, "#") + "%")
if close < testOrderblock.value
testOrderblock.block.delete()
if not na(testOrderblock.demandLabel)
label.delete(testOrderblock.demandLabel)
if not na(testOrderblock.supplyLabel)
label.delete(testOrderblock.supplyLabel)
array.remove(bullishOrderblock, i)
else
activeBullishCount += 1
counter := counter + 1
else
testOrderblock.block.set_right(testOrderblock.barStart)
if not na(testOrderblock.demandLabel)
label.delete(testOrderblock.demandLabel)
if not na(testOrderblock.supplyLabel)
label.delete(testOrderblock.supplyLabel)
// تحديث مناطق العرض
if array.size(bearishOrderblock) > 0
orderblock testOrderblock = na
int counter = 0
activeBearishCount := 0
for i = array.size(bearishOrderblock) - 1 to 0 by 1
testOrderblock := array.get(bearishOrderblock, i)
if counter < numberObShow
testOrderblock.block.set_right(time)
// تحديث النسب المتحركة
= calculateStrengthRatio()
if showStrengthLabels
if not na(testOrderblock.supplyLabel)
label.set_x(testOrderblock.supplyLabel, time)
label.set_text(testOrderblock.supplyLabel," عرض " + str.tostring(supplyStr, "#") + "%")
label.set_color(testOrderblock.supplyLabel, supplyStr >= strengthThreshold ? color.new(color.red, 0) : color.new(color.orange, 0))
if not na(testOrderblock.demandLabel)
label.set_x(testOrderblock.demandLabel, time)
label.set_text(testOrderblock.demandLabel,"طلب " + str.tostring(demandStr, "#") + "%")
if close > testOrderblock.value
testOrderblock.block.delete()
if not na(testOrderblock.supplyLabel)
label.delete(testOrderblock.supplyLabel)
if not na(testOrderblock.demandLabel)
label.delete(testOrderblock.demandLabel)
array.remove(bearishOrderblock, i)
else
activeBearishCount += 1
counter := counter + 1
else
testOrderblock.block.set_right(testOrderblock.barStart)
if not na(testOrderblock.supplyLabel)
label.delete(testOrderblock.supplyLabel)
if not na(testOrderblock.demandLabel)
label.delete(testOrderblock.demandLabel)
// ========== إعدادات FVG ==========
showFVG = input.bool(defval = true, title = "Show Fair Value Gaps", group = "FVG")
contract = input.bool(defval = false, title = "Contract Violated FVG", group = "FVG")
closeOnly = input.bool(defval = false, title = "Show Closest Up/Down FVG Only", group = "FVG")
fvgcol = input.color(defval = #f2da07, title = "FVG Color", group = "FVG")
fvgtra = input.int(defval = 80, minval = 0, maxval = 100, title = "FVG Transparency", group = "FVG")
// ========== دالة FVG ==========
fvg(direction) =>
var fvgMat = matrix.new(5)
var fvgDrawings = array.new()
fvgMat.add_col(0, array.from(math.sign(close - open), close, high, low, time))
if fvgMat.columns() > 3
fvgMat.remove_col(fvgMat.columns() - 1)
if fvgMat.row(0).sum() == direction
getDir = math.sign(direction)
= switch getDir
-1 =>
=>
col = switch closeOnly
true => #00000000
=> color.new(fvgcol, fvgtra)
fvgDrawings.push(
box.new(int(fvgMat.get(4, 1)), y, last_bar_time, y1, xloc = xloc.bar_time,
border_color = col, bgcolor = col)
)
fvgDrawings
// ========== تنفيذ FVG ==========
if showFVG
fvgDn = fvg(-3)
fvgUp = fvg(3)
// معالجة FVG الهابط
if fvgDn.size() > 0
for i = fvgDn.size() - 1 to 0
getfvg = fvgDn.get(i)
if high >= getfvg.get_top()
getfvg.delete()
fvgDn.remove(i)
else if contract
if high > getfvg.get_bottom()
getfvg.set_bottom(high)
// معالجة FVG الصاعد
if fvgUp.size() > 0
for i = fvgUp.size() - 1 to 0
getfvg = fvgUp.get(i)
if low <= getfvg.get_bottom()
getfvg.delete()
fvgUp.remove(i)
else if contract
if low < getfvg.get_top()
getfvg.set_top(low)
// إظهار أقرب FVG فقط
if closeOnly and barstate.islast
minDist = matrix.new(1, 2, 20e20)
if fvgDn.size() > 0
for i = fvgDn.size() - 1 to 0
getBottom = fvgDn.get(i).get_bottom()
minDist.set(0, 1, math.min(minDist.get(0, 1), math.abs(close - getBottom)))
if math.abs(close - getBottom) == minDist.get(0, 1)
minDist.set(0, 0, i)
fvgDn.get(i).set_right(fvgDn.get(i).get_left())
fvgDn.get(int(minDist.get(0, 0))).set_bgcolor(color.new(fvgcol, fvgtra))
fvgDn.get(int(minDist.get(0, 0))).set_border_color(color.new(fvgcol, fvgtra))
fvgDn.get(int(minDist.get(0, 0))).set_right(last_bar_time)
minDist.set(0, 0, 0)
minDist.set(0, 1, 20e20)
if fvgUp.size() > 0
for i = fvgUp.size() - 1 to 0
getTop = fvgUp.get(i).get_top()
minDist.set(0, 1, math.min(minDist.get(0, 1), math.abs(close - getTop)))
if math.abs(close - getTop) == minDist.get(0, 1)
minDist.set(0, 0, i)
fvgUp.get(i).set_right(fvgUp.get(i).get_left())
fvgUp.get(int(minDist.get(0, 0))).set_bgcolor(color.new(fvgcol, fvgtra))
fvgUp.get(int(minDist.get(0, 0))).set_border_color(color.new(fvgcol, fvgtra))
fvgUp.get(int(minDist.get(0, 0))).set_right(last_bar_time)
//==============================
// إعدادات العرض والألوان
//==============================
Show_Middle_Line_4H = input.bool(true, "عرض خط المنتصف 4H")
Show_Middle_Line_D = input.bool(true, "عرض خط المنتصف Daily")
Color_Middle_Below_4H = input.color(color.red, "لون المنتصف (تحت السعر) 4H")
Color_Middle_Above_4H = input.color(color.green, "لون المنتصف (فوق السعر) 4H")
Color_Middle_Below_D = input.color(color.new(color.red, 0), "لون المنتصف (تحت السعر) Daily")
Color_Middle_Above_D = input.color(color.new(color.green, 0), "لون المنتصف (فوق السعر) Daily")
//==============================
// دالة امتداد الخط إلى اليمين
//==============================
extendToCurrentBar(int offset_bars) =>
timenow + (time - time ) * offset_bars
//==============================
// حساب خط المنتصف 4H
//==============================
= request.security(syminfo.tickerid, "240", [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, "240", [time , low ], lookahead=barmerge.lookahead_on)
float middle_price_4h = (intrah_value_4h + intral_value_4h) / 2
//==============================
// حساب خط المنتصف Daily
//==============================
= request.security(syminfo.tickerid, "D", [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, "D", [time , low ], lookahead=barmerge.lookahead_on)
float middle_price_d = (intrah_value_d + intral_value_d) / 2
//==============================
// رسم خط المنتصف 4H
//==============================
if barstate.islast and Show_Middle_Line_4H
int distance_right = 25
color middle_color_4h = close < middle_price_4h ? Color_Middle_Below_4H : Color_Middle_Above_4H
string middle_text_4h = close < middle_price_4h ? "سلبي 🔴 (4H)" : "إيجابي 🟢 (4H)"
var line middle_line_4h = line.new(na, na, na, na, xloc=xloc.bar_time, width=2, style=line.style_solid)
var label middle_label_4h = label.new(na, na, text="", xloc=xloc.bar_time, style=label.style_none)
line.set_xy1(middle_line_4h, intrah_time_4h, middle_price_4h)
line.set_xy2(middle_line_4h, extendToCurrentBar(distance_right), middle_price_4h)
line.set_color(middle_line_4h, middle_color_4h)
label.set_xy(middle_label_4h, extendToCurrentBar(distance_right), middle_price_4h)
label.set_text(middle_label_4h, str.tostring(middle_price_4h, format.mintick) + " " + middle_text_4h)
label.set_textcolor(middle_label_4h, middle_color_4h)
//==============================
// رسم خط المنتصف Daily
//==============================
if barstate.islast and Show_Middle_Line_D
int distance_right = 25
color middle_color_d = close < middle_price_d ? Color_Middle_Below_D : Color_Middle_Above_D
string middle_text_d = close < middle_price_d ? "سلبي 🔴 (يومي)" : "إيجابي 🟢 (يومي)"
var line middle_line_d = line.new(na, na, na, na, xloc=xloc.bar_time, width=2, style=line.style_dotted)
var label middle_label_d = label.new(na, na, text="", xloc=xloc.bar_time, style=label.style_none)
line.set_xy1(middle_line_d, intrah_time_d, middle_price_d)
line.set_xy2(middle_line_d, extendToCurrentBar(distance_right), middle_price_d)
line.set_color(middle_line_d, middle_color_d)
label.set_xy(middle_label_d, extendToCurrentBar(distance_right), middle_price_d)
label.set_text(middle_label_d, str.tostring(middle_price_d, format.mintick) + " " + middle_text_d)
label.set_textcolor(middle_label_d, middle_color_d)
// ========== الإعدادات ==========
length = input.int(14, "فترة", minval=1)
threshold = input.int(55, "حد القوة", minval=0, maxval=100)
// اختيار موقع الجدول
tablePositionInput = input.string("Top Right", "موضع الجدول", options= )
// ========== حساب قوة الطلب والعرض ==========
buyingPressure = close > open ? close - open : 0
sellingPressure = close < open ? open - close : 0
sumBuyingPressure = math.sum(buyingPressure, length)
sumSellingPressure = math.sum(sellingPressure, length)
totalPressure = sumBuyingPressure + sumSellingPressure
demandStrength = totalPressure > 0 ? (sumBuyingPressure / totalPressure) * 100 : 0
supplyStrength = totalPressure > 0 ? (sumSellingPressure / totalPressure) * 100 : 0
// ========== مؤشرات مساعدة ==========
volumeMA = ta.sma(volume, length)
volumeStrength = volume > volumeMA
ema_fast = ta.ema(close, 8)
ema_slow = ta.ema(close, 21)
// ========== شروط الإشارات ==========
callCondition = demandStrength >= threshold and rsi < 70 and close > open and volumeStrength
putCondition = supplyStrength >= threshold and rsi > 30 and close < open and volumeStrength
// ========== إنشاء جدول حسب الموقع ==========
var table infoTableTopLeft = table.new(position.top_left, 2, 5, border_width=1, frame_color=color.gray, frame_width=1)
var table infoTableTopRight = table.new(position.top_right, 2, 5, border_width=1, frame_color=color.gray, frame_width=1)
var table infoTableBottomLeft = table.new(position.bottom_left, 2, 5, border_width=1, frame_color=color.gray, frame_width=1)
var table infoTableBottomRight = table.new(position.bottom_right, 2, 5, border_width=1, frame_color=color.gray, frame_width=1)
var table infoTable = tablePositionInput == "Top Left" ? infoTableTopLeft :
tablePositionInput == "Top Right" ? infoTableTopRight :
tablePositionInput == "Bottom Left" ? infoTableBottomLeft :
infoTableBottomRight
// ========== تعبئة الجدول ==========
if barstate.islast
table.cell(infoTable, 0, 0, "مؤشر", bgcolor=color.new(color.blue, 80), text_color=color.white)
table.cell(infoTable, 1, 0, "قيمة", bgcolor=color.new(color.blue, 80), text_color=color.white)
demandColor = demandStrength >= threshold ? color.new(#5ced61, 52) : color.new(color.gray, 90)
supplyColor = supplyStrength >= threshold ? color.new(#ff4b4b, 62) : color.new(color.gray, 90)
signalColor = callCondition ? color.new(color.green, 70) : (putCondition ? color.new(color.red, 70) : color.new(color.gray, 90))
currentSignal = callCondition ? "CALL" : (putCondition ? "PUT" : "-")
table.cell(infoTable, 0, 1, "طلب", bgcolor=demandColor, text_color=color.white)
table.cell(infoTable, 1, 1, str.tostring(math.round(demandStrength, 0)) + "%", bgcolor=demandColor, text_color=color.white)
table.cell(infoTable, 0, 2, "عرض", bgcolor=supplyColor, text_color=color.white)
table.cell(infoTable, 1, 2, str.tostring(math.round(supplyStrength, 0)) + "%", bgcolor=supplyColor, text_color=color.white)
table.cell(infoTable, 0, 3, "RSI", bgcolor=color.new(#5c646a, 90), text_color=color.white)
table.cell(infoTable, 1, 3, str.tostring(math.round(rsi, 0)), bgcolor=color.new(#8c8995, 95), text_color=color.white)
table.cell(infoTable, 0, 4, "إشاره", bgcolor=signalColor, text_color=color.white)
table.cell(infoTable, 1, 4, currentSignal, bgcolor=signalColor, text_color=color.white)
// الإعدادات
atrPeriod = input.int(10, "ATR Period")
factor = input.float(3.0, "Supertrend Factor")
rsiLength = input.int(14, "RSI Length")
tablePos = input.string("top_right", "Table Position", options= )
// حساب Supertrend
atrVal = ta.atr(atrPeriod)
hl2Value = (ta.highest(high, atrPeriod) + ta.lowest(low, atrPeriod)) / 2
upperBand = hl2Value + factor * atrVal
lowerBand = hl2Value - factor * atrVal
var float supertrendLine = na
var int trendDirection = 1
previousST = nz(supertrendLine , close)
previousDir = nz(trendDirection , 1)
if na(atrVal)
supertrendLine := close
trendDirection := 1
else
if previousDir == 1
supertrendLine := close < previousST ? upperBand : math.max(lowerBand, previousST)
else
supertrendLine := close > previousST ? lowerBand : math.min(upperBand, previousST)
trendDirection := close > supertrendLine ? 1 : -1
isBullish = trendDirection == 1
buySignal = trendDirection == 1 and previousDir == -1
sellSignal = trendDirection == -1 and previousDir == 1
// حساب VWAP
vwapLine = ta.vwap(close)
vwapBullish = close > vwapLine
// حساب RSI
rsiValue = ta.rsi(close, rsiLength)
// تحديد رمز Flow بناءً على RSI
rsiFlowSymbol = rsiValue > 55 ? "🟢" : rsiValue < 40 ? "🔴" : "⚪"
// حساب قوة الطلب والعرض
demandPressure = close > open ? (close - open) * volume : 0.0
supplyPressure = close < open ? (open - close) * volume : 0.0
avgDemand = ta.sma(demandPressure, 14)
avgSupply = ta.sma(supplyPressure, 14)
demandPercent = totalPressure > 0 ? (avgDemand / totalPressure) * 100 : 50.0
supplyPercent = totalPressure > 0 ? (avgSupply / totalPressure) * 100 : 50.0
demandSymbol = demandPercent > 55 ? "🟢" : "⚪"
supplySymbol = supplyPercent > 55 ? "🔴" : "⚪"
// حساب الاتجاهات متعددة الأطر الزمنية
getTrendSymbol() =>
emaValue = ta.ema(close, 50)
emaValue > emaValue ? "🟢" : "🔴"
trend3min = request.security(syminfo.tickerid, "3", getTrendSymbol())
trend5min = request.security(syminfo.tickerid, "5", getTrendSymbol())
trend15min = request.security(syminfo.tickerid, "15", getTrendSymbol())
trend1hour = request.security(syminfo.tickerid, "60", getTrendSymbol())
// الإشارة النهائية
// تحديد موقع الجدول
tablePosition = tablePos == "top_right" ? position.top_right : tablePos == "top_left" ? position.top_left : tablePos == "bottom_right" ? position.bottom_right : position.bottom_left
// إنشاء الجدول
var mainTable = table.new(tablePosition, 2, 12, border_width=1)
// تحديث الجدول
if barstate.islast
textSize = size.tiny
// الإشارة النهائية
table.cell(mainTable, 0, 0, "إشارة", text_color=color.white, bgcolor=color.blue, text_size=textSize)
// Supertrend
stText = buySignal ? "✅" : sellSignal ? "❌" : isBullish ? "🟢" : "🔴"
stColor = buySignal ? color.green : sellSignal ? color.red : isBullish ? color.new(color.green, 60) : color.new(color.red, 60)
table.cell(mainTable, 0, 1, "ST", text_color=color.white, bgcolor=color.new(color.blue, 60), text_size=textSize)
table.cell(mainTable, 1, 1, stText, text_color=color.white, bgcolor=stColor, text_size=textSize)
// RSI - تحديد اللون بناءً على القيمة
rsiGreenCondition = rsiValue > 55
rsiRedCondition = rsiValue < 40
rsiBgColor = rsiGreenCondition ? color.new(color.green, 60) : rsiRedCondition ? color.new(color.red, 60) : color.new(color.gray, 60)
table.cell(mainTable, 0, 5, "RSI", text_color=color.white, bgcolor=color.new(color.blue, 60), text_size=textSize)
table.cell(mainTable, 1, 5, str.tostring(rsiValue, "#.0") + " " + rsiFlowSymbol, text_color=color.white, bgcolor=rsiBgColor, text_size=textSize)
// الطلب (Demand)
demandBgColor = demandPercent > 55 ? color.new(color.green, 60) : color.new(color.gray, 60)
table.cell(mainTable, 0, 6, "طلب", text_color=color.white, bgcolor=color.new(color.blue, 60), text_size=textSize)
table.cell(mainTable, 1, 6, str.tostring(demandPercent, "#") + "% " + demandSymbol, text_color=color.white, bgcolor=demandBgColor, text_size=textSize)
// العرض (Supply)
supplyBgColor = supplyPercent > 55 ? color.new(color.red, 60) : color.new(color.gray, 60)
table.cell(mainTable, 0, 7, "عرض", text_color=color.white, bgcolor=color.new(color.blue, 60), text_size=textSize)
table.cell(mainTable, 1, 7, str.tostring(supplyPercent, "#") + "% " + supplySymbol, text_color=color.white, bgcolor=supplyBgColor, text_size=textSize)
// الأطر الزمنية
table.cell(mainTable, 0, 8, "3m", text_color=color.white, bgcolor=color.new(color.gray, 70), text_size=textSize)
table.cell(mainTable, 1, 8, trend3min, text
Elliott Wave - Impulse + Corrective Detector (Demo) เทคนิคการใช้
สำหรับมือใหม่
ดูเฉพาะ Impulse Wave ก่อน
เทรดตาม direction ของ impulse
ใช้ Fibonacci เป็น support/resistance
สำหรับ Advanced
ใช้ Corrective Wave หาจุด reversal
รวม Triangle กับ breakout strategy
ใช้ Complex correction วางแผนระยะยาว
⚙️ การปรับแต่ง
ถ้าเจอ Pattern น้อยเกินไป
ลด Swing Length เป็น 3-4
เพิ่ม Max History เป็น 500
ถ้าเจอ Pattern เยอะเกินไป
เพิ่ม Swing Length เป็น 8-12
ปิด patterns ที่ไม่ต้องการ
สำหรับ Timeframe ต่างๆ
H1-H4: Swing Length = 5-8
Daily: Swing Length = 3-5
Weekly: Swing Length = 2-3
⚠️ ข้อควรระวัง
Elliott Wave เป็น subjective analysis
ใช้ร่วมกับ indicators อื่นๆ
Backtest ก่อนใช้เงินจริง
Pattern อาจเปลี่ยนได้ตลอดเวลา
🎓 สรุป
โค้ดนี้เป็นเครื่องมือช่วยวิเคราะห์ Elliott Wave ที่:
✅ ใช้งานง่าย
✅ ตรวจจับอัตโนมัติ
✅ มี confidence scoring
✅ แสดงผล Fibonacci levels
✅ ส่ง alerts เรียลไทม์
เหมาะสำหรับ: Trader ที่ต้องการใช้ Elliott Wave ในการวิเคราะห์เทคนิค แต่ไม่มีเวลานั่งหา pattern เอง
💡 Usage Tips
For Beginners
Focus on Impulse Waves first
Trade in the direction of impulse
Use Fibonacci as support/resistance levels
For Advanced Users
Use Corrective Waves to find reversal points
Combine Triangles with breakout strategies
Use Complex corrections for long-term planning
⚙️ Customization
If You See Too Few Patterns
Decrease Swing Length to 3-4
Increase Max History to 500
If You See Too Many Patterns
Increase Swing Length to 8-12
Turn off unwanted pattern types
For Different Timeframes
H1-H4: Swing Length = 5-8
Daily: Swing Length = 3-5
Weekly: Swing Length = 2-3
⚠️ Important Warnings
Elliott Wave is subjective analysis
Use with other technical indicators
Backtest before using real money
Patterns can change at any time
🔧 Troubleshooting
No Patterns Showing
Check if you have enough price history
Adjust Swing Length settings
Make sure pattern detection is enabled
Too Many False Signals
Increase confidence threshold requirements
Use higher timeframes
Combine with trend analysis
Performance Issues
Reduce Max History setting
Turn off unnecessary visual elements
Use on liquid markets only
📈 Trading Applications
Entry Strategies
Wave 3 Entry: After Wave 2 completion (61.8%-78.6% retracement)
Wave 5 Target: Equal to Wave 1 or Fibonacci extensions
Corrective Bounce: Trade reversals at C wave completion
Risk Management
Stop Loss: Beyond pattern invalidation levels
Take Profit: Fibonacci extension targets
Position Sizing: Based on pattern confidence
🎓 Summary
This code is an Elliott Wave analysis tool that offers:
✅ Easy to use interface
✅ Automatic pattern detection
✅ Confidence scoring system
✅ Fibonacci level display
✅ Real-time alerts
Perfect for: Traders who want to use Elliott Wave analysis but don't have time to manually identify patterns.
📚 Quick Reference
Pattern Hierarchy (Most to Least Reliable)
Impulse Waves (90% confidence)
Expanded Flats (85% confidence)
Zigzags (80% confidence)
Triangles (75% confidence)
Complex Corrections (70% confidence)
Best Practices
Start with higher timeframes for main trend
Use lower timeframes for precise entries
Always confirm with volume and momentum
Don't trade against strong fundamental news
Keep a trading journal to track performance
Remember: Elliott Wave is an art as much as a science. This tool helps identify potential patterns, but always use your judgment and additional analysis before making trading decisions.
AlgoCados x ICT ToolkitAlgoCados x ICT Toolkit is a TradingView tool designed to integrate ICT (Inner Circle Trader) Smart Money Concepts (SMC) into a structured trading framework.
It provides traders with institutional liquidity insights, precise price level tracking, and session-based analysis, making it an essential tool for intraday, swing, and position trading.
Optimized for Forex, Futures, and Crypto, this toolkit offers multi-timeframe liquidity tracking, killzone mapping, RTH analysis, standard deviation projections, and dynamic price level updates, ensuring traders stay aligned with institutional market behavior.
# Key Features
Multi-Timeframe Institutional Price Levels
The indicator provides a structured approach to analyzing liquidity and market structure across different time horizons, helping traders understand institutional order flow.
- Previous Day High/Low (PDH/PDL) – Tracks the Previous Day’s High/Low, crucial for intraday liquidity analysis.
- Previous Week High/Low (PWH/PWL) – Monitors the Previous Week’s High/Low, aiding in higher timeframe liquidity zone tracking.
- Previous Month High/Low (PMH/PML) – Highlights the Previous Month’s High/Low, critical for swing trading and long-term bias confirmation.
- True Day Open (TDO) – Marks the NY Midnight Opening Price, providing a reference point for intraday bias and liquidity movements.
- Automatic Level Cleanup – When enabled. pxHigh/pxLow levels gets automatically deleted when raided, keeping the chart clean and focused on valid liquidity zones.
- Monthly, Weekly, Daily Open Levels – Identifies HTF price action context, allowing traders to track institutional order flow and potential liquidity draws.
# Regular Trading Hours (RTH) High, Low & Mid-Equilibrium (EQ)
For futures traders, the toolkit accurately identifies RTH liquidity zones to align with institutional trading behavior.
- RTH High/Low (RTH H/L) – Defines the RTH Gap high and low dynamically, marking key liquidity levels.
- RTH Equilibrium (EQ) – Calculates the midpoint of the RTH range, acting as a mean reversion level where price often reacts.
# Killzones & Liquidity Mapping
The indicator provides a time-based liquidity structure that helps traders anticipate market movements during high-impact trading windows.
ICT Killzones (Visible on 30-minute timeframe or lower)
- Asia Killzone (Asia) – Tracks overnight liquidity accumulation.
- London Open Killzone (LOKZ) – Marks early European liquidity grabs.
- New York Killzone (NYKZ) – Captures US session volatility.
- New York PM Session (PMKZ) – Available only for futures markets, tracking late-day liquidity shifts.
Forex-Specific Killzones (Visible on 30-minute timeframe or lower)
- London Close Killzone (LCKZ) – Available only for Forex, marks the European end of Day liquidity Points of Interests (POI).
- Central Bank Dealers Range (CBDR) – Available only for Forex, providing a liquidity framework used by central banks.
- Flout (CBDR + Asian Range) – Available only for Forex, extending CBDR with Asian session liquidity behavior.
- Killzone History Option – When enabled, Killzones remain visible beyond the current day; otherwise, they reset daily.
- Customizable Killzone Boxes – Modify opacity, colors, and border styles for seamless integration into different trading styles.
CME_MINI:NQH2025 FOREXCOM:EURUSD
# Standard Deviation (STDV) Liquidity Projections
A statistical approach to forecasting price movements based on Standard Deviations of HOTD (High of the Day) and LOTD (Low of the Day).
- Asia, CBDR, and Flout STDV Calculations (Visible on 30-minute timeframe or lower) – Predicts liquidity grabs based on price expansion behavior.
- Customizable Display Modes – Choose between Compact (e.g., "+2.5") or Verbose (e.g., "Asia +2.5") labels.
- Real-Time STDV Updates – Projections dynamically adjust as new price data is formed, allowing traders to react to developing market conditions.
CME_MINI:NQH2025
# Daily Session Dividers
- Visualizes Trading Days (Visible on 1-hour timeframe or lower) – Helps segment the trading session for better structure analysis.
- Daily Divider History Option – When enabled, dividers remain visible beyond the current trading week; otherwise, they reset weekly.
# Customization & User Experience
- Flexible Label Options – Adjust label size, font type, and color for improved readability.
- Intraday-Optimized Data – Killzones (30m or lower), STDV (30m or lower), and Daily Dividers (1H or lower) ensure efficient use of chart space.
- Configurable Line Styles – Customize solid, dotted, or dashed styles for various levels, making charts aesthetically clean and data-rich.
# Usage & Configurations
The AlgoCados x ICT Toolkit is designed to seamlessly fit different trading methodologies.
Scalping & Intraday Trading
- Track PDH/PDL levels for liquidity sweeps and market reversals.
- Utilize Killzones & Session Open levels to identify high-probability entry zones.
- Analyze RTH High/Low & Mid-EQ for potential liquidity targets and reversals.
- Enable STDV projections for potential price expansion and reversals.
Swing & Position Trading
- Use PWH/PWL and PMH/PML levels to determine HTF liquidity shifts.
- Monitor RTH Gap, TDO, and session liquidity markers for trade confirmation.
- Combine HTF bias with LTF liquidity structures for optimized entries and exits.
# Inputs & Configuration Options
Customizable Parameters
- Offset Adjustment – Allows users to shift displayed data horizontally for better visibility.
- Killzone Box Styling – Customize colors, opacity, and border styles for session boxes.
- Session Dividers – Modify line styles and colors for better time segmentation.
- Killzone & Daily Divider History Toggle – Enables users to view past killzones and dividers instead of resetting them daily/weekly.
- Label Formatting – Toggle between Compact and Verbose display modes for streamlined analysis.
# Advanced Features
Real-Time Data Processing & Dynamic Object Management
- Auto Cleanup of pxLevels – Prevents clutter by removing invalidated levels upon liquidity raids.
- Session History Control – Users can toggle historical data for daily dividers and killzones to maintain a clean chart layout.
- Daily & Weekly Resets – Ensures accurate session tracking by resetting daily dividers at the start of each new trading week.
CME_MINI:NQH2025
# Example Use Cases
- Day Traders & Scalpers – Utilize Killzones, PDH/PDL, DO and TDO levels for precise liquidity-based trading opportunities.
- Swing Traders – Leverage HTF Open Levels, PWH/PWL liquidity mapping, and TDO for trend-based trade execution.
- Futures Traders – Optimize trading with RTH High/Low, Mid-EQ, and PMKZ for session liquidity tracking.
- Forex Traders – Use CBDR, Flout, and session liquidity mapping to align with institutional order flow.
CME_MINI:ESH2025
"By integrating institutional concepts, liquidity mapping, and smart money methodologies, the AlgoCados x ICT Toolkit empowers traders with a data-driven approach to market inefficiencies and liquidity pools."
# Disclaimer
This tool is designed to assist in trading decisions but should be used in conjunction with other analysis methods and proper risk management. Trading involves significant risk, and traders should ensure they understand market conditions before executing trades.
