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UO_30-50-70Ultimate Oscillator with bands present at the 30, 50, and 70 pt levels.
Personally use this every time, created a script to hard code these lines so I wouldn't need to redraw them all the time.
Enjoy
EMA Crossover Strategy (15m)50 and 200 ema crossing when leaving anchor. when 50 and 200 crosses will give you direction of where market is going. wait for a pull back and take trade. sl on highest or lowest point of apex tp open . when you see multiple equal ( low or High) get put of trade.
The Lazy Trader - Index (ETF) Trend Following Robot50/150 moving average, index (ETF) trend following robot. Coded for people who cannot psychologically handle dollar-cost-averaging through bear markets and extreme drawdowns (although DCA can produce better results eventually), this robot helps you to avoid bear markets. Be a fair-weathered friend of Mr Market, and only take up his offer when the sun is shining! Designed for the lazy trader who really doesn't care...
Recommended Chart Settings:
Asset Class: ETF
Time Frame: Daily
Necessary ETF Macro Conditions:
a) Country must have healthy demographics, good ratio of young > old
b) Country population must be increasing
c) Country must be experiencing price-inflation
Default Robot Settings:
Slow Moving Average: 50 (integer) //adjust to suit your underlying index
Fast Moving Average: 150 (integer) //adjust to suit your underlying index
Bullish Slope Angle: 5 (degrees) //up angle of moving averages
Bearish Slope Angle: -5 (degrees) //down angle of moving averages
Average True Range: 14 (integer) //input for slope-angle formula
Risk: 100 (%) //100% risk means using all equity per trade
ETF Test Results (Default Settings):
SPY (1993 to 2020, 27 years), 332% profit, 20 trades, 6.4 profit factor, 7% drawdown
EWG (1996 to 2020, 24 years), 310% profit, 18 trades, 3.7 profit factor, 10% drawdown
EWH (1996 to 2020, 24 years), 4% loss, 26 trades, 0.9 profit factor, 36% drawdown
QQQ (1999 to 2020, 21 years), 232% profit, 17 trades, 3.6 profit factor, 2% drawdown
EEM (2003 to 2020, 17 years), 73% profit, 17 trades, 1.1 profit factor, 3% drawdown
GXC (2007 to 2020, 13 years), 18% profit, 14 trades, 1.3 profit factor, 26% drawdown
BKF (2009 to 2020, 11 years), 11% profit, 13 trades, 1.2 profit factor, 33% drawdown
A longer time in the markets is better, with the exception of EWH. 6 out of 7 tested ETFs were profitable, feel free to test on your favourite ETF (default settings) and comment below.
Risk Warning:
Not tested on commodities nor other financial products like currencies (code will not work), feel free to leave comments below.
Moving Average Slope Angle Formula:
Reproduced and modified from source:
50-Minute Opening Range BreakoutThis is a test of the opening range with Bearish/Bullish confirmation
50-Line Oscillator // (\_/)
// ( •.•)
// (")_(")
25-Line Oscillator
Description:
The 25-Line Oscillator is a sophisticated technical analysis tool designed to visualize market trends through the use of multiple Simple Moving Averages (SMAs). This indicator computes a series of 26 SMAs, incrementally increasing the base length, providing traders with a comprehensive view of price dynamics.
Features:
Customizable Base Length: Adjust the base length of the SMAs according to trading preferences, enhancing versatility for different market conditions.
Rainbow Effect: The indicator employs a visually appealing rainbow color scheme to differentiate between the various trend lines, making it easy to identify crossovers and momentum shifts.
Crossovers Detection: The script includes logic to detect crossover events between consecutive trend lines, which can serve as signals for potential entry or exit points in trading.
Clear Visualization: Suitable for both novice and seasoned traders, the plots enable quick interpretation of trends and market behavior.
How to Use:
Add the indicator to your chart and customize the base length as desired.
Observe the rainbow-colored lines for trend direction.
Look for crossover events between the SMAs as potential trading signals.
Application: This indicator is particularly useful for swing traders and trend followers who aim to capitalize on market momentum and identify reversals. By monitoring the behavior of multiple SMAs, traders can gain insights into the strength and direction of price movements over various time frames.
AK Simple Moving Average 50 days Simple Moving average suitable for Intraday on 1Hr,30Min.15Min Time frames
1. When candle crossing above SMA Line - Go for Long Entries
2. When candle crossing below SMA Line - Go for short Entries
50 SMA / 200 EMA / 128EMA Moving Average CrossFound success using 50SMA vs 200EMA.
128 EMA also charted for it's BTC relevance.
50/100/200 Moving Averages (Pine Script For Copy)by fresca
SCRIPT LANGUAGE
Copy script below and adjust based on your preferences.
-function (change function from "sma" to "ema", "wma" and more)
-length (25 Day, 150 Day or add more averages to the three in this script.)
-color, (red, yellow, etc. or use color hex codes i.e. #FEDA15, #FFAD8F, etc.)
-transparency (set to desired level 1-100)
Or add more options.
RESOURCES
Color hex codes site: www.canva.com
Trading View Pine Script Editor Reference Guide: www.tradingview.com
Taint's Multi Time Frame MA50-100-200 SMA with two 200 EMA's all with the ability choose a time frame for each.
ADR levels+// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © notprofessorgreen
//@version=5
indicator("ADR levels", shorttitle = 'ADR', overlay=true, max_bars_back=5000, max_lines_count=500)
// Error catching
if (timeframe.in_seconds() >= timeframe.in_seconds('D'))
runtime.error('Timeframe cannot be greater than Daily')
// Inputs
adr_days = input.int(10, title = 'Days', maxval=250, minval = 1)
std_x = input.float(1.0, "Scale Factor")
width = input.int(1, "Line Width")
// ADR line inputs
adr_color = input.color(color.gray, "ADR Color")
adr_style = input.string("solid", "ADR Style", options= )
// Standard deviation inputs
std_dev_0_5 = input.float(0.5, "Std Dev 1 Multiplier", minval=0.1, maxval=5.0)
std_0_5_show = input.bool(true, "Show Std Dev 1", inline="std1")
std_0_5_color = input.color(color.gray, "Std Dev 1 Color", inline="std1")
std_0_5_style = input.string("dotted", "Std Dev 1 Style", options= , inline="std1")
std_dev_1 = input.float(1.0, "Std Dev 2 Multiplier", minval=0.1, maxval=5.0)
std_1_show = input.bool(true, "Show Std Dev 2", inline="std2")
std_1_color = input.color(color.gray, "Std Dev 2 Color", inline="std2")
std_1_style = input.string("dotted", "Std Dev 2 Style", options= , inline="std2")
std_dev_2 = input.float(2.0, "Std Dev 3 Multiplier", minval=0.1, maxval=5.0)
std_2_show = input.bool(true, "Show Std Dev 3", inline="std3")
std_2_color = input.color(color.gray, "Std Dev 3 Color", inline="std3")
std_2_style = input.string("dotted", "Std Dev 3 Style", options= , inline="std3")
// Fibonacci inputs
fib_1_level = input.float(0.3, "Fib Level 1", minval=0, maxval=2.0)
fib_1_show = input.bool(true, "Show Fib 1", inline="fib1")
fib_1_color = input.color(color.blue, "Fib 1 Color", inline="fib1")
fib_1_style = input.string("dashed", "Fib 1 Style", options= , inline="fib1")
fib_2_level = input.float(0.5, "Fib Level 2", minval=0, maxval=2.0)
fib_2_show = input.bool(true, "Show Fib 2", inline="fib2")
fib_2_color = input.color(color.blue, "Fib 2 Color", inline="fib2")
fib_2_style = input.string("dashed", "Fib 2 Style", options= , inline="fib2")
fib_3_level = input.float(0.7, "Fib Level 3", minval=0, maxval=2.0)
fib_3_show = input.bool(true, "Show Fib 3", inline="fib3")
fib_3_color = input.color(color.blue, "Fib 3 Color", inline="fib3")
fib_3_style = input.string("dashed", "Fib 3 Style", options= , inline="fib3")
show_labels = input.bool(true, "Show Labels")
// Stats table inputs
show_stats = input.bool(true, "Show Table")
sample_size = input.bool(true, "Show Sample Sizes")
tbl_loc = input.string('Bottom Right', "Table", options = )
tbl_size = input.string('Tiny', "", options = )
rch_color = input.color(color.rgb(3, 131, 99, 70), "Reached ")
csd_color = input.color(color.rgb(127, 1, 185, 70), "Closed Through ")
// Function to convert style string to line style
get_line_style(string style) =>
switch style
"solid" => line.style_solid
"dashed" => line.style_dashed
"dotted" => line.style_dotted
// Variables
reset = session.islastbar_regular
var float track_highs = 0.00
var float track_lows = 0.00
var float today_adr = 0.00
var adrs = array.new_float(adr_days, 0.00)
var line adr_pos = na
var line adr_neg = na
var line fib_1_pos = na
var line fib_1_neg = na
var line fib_2_pos = na
var line fib_2_neg = na
var line fib_3_pos = na
var line fib_3_neg = na
var line std_0_5_pos = na
var line std_0_5_neg = na
var line std_1_pos = na
var line std_1_neg = na
var line std_2_pos = na
var line std_2_neg = na
var label fib_1_pos_lbl = na
var label fib_1_neg_lbl = na
var label fib_2_pos_lbl = na
var label fib_2_neg_lbl = na
var label fib_3_pos_lbl = na
var label fib_3_neg_lbl = na
var label adr_pos_lbl = na
var label adr_neg_lbl = na
var label std_0_5_pos_lbl = na
var label std_0_5_neg_lbl = na
var label std_1_pos_lbl = na
var label std_1_neg_lbl = na
var label std_2_pos_lbl = na
var label std_2_neg_lbl = na
// ADR calculation
track_highs := reset ? high : math.max(high, track_highs )
track_lows := reset ? low : math.min(low, track_lows )
if reset
array.unshift(adrs, math.round_to_mintick(track_highs - track_lows ))
if array.size(adrs) > adr_days
array.pop(adrs)
today_adr := math.round_to_mintick(array.avg(adrs))
// Delete previous lines and labels
line.delete(adr_pos )
line.delete(adr_neg )
line.delete(fib_1_pos )
line.delete(fib_1_neg )
line.delete(fib_2_pos )
line.delete(fib_2_neg )
line.delete(fib_3_pos )
line.delete(fib_3_neg )
line.delete(std_0_5_pos )
line.delete(std_0_5_neg )
line.delete(std_1_pos )
line.delete(std_1_neg )
line.delete(std_2_pos )
line.delete(std_2_neg )
label.delete(fib_1_pos_lbl )
label.delete(fib_1_neg_lbl )
label.delete(fib_2_pos_lbl )
label.delete(fib_2_neg_lbl )
label.delete(fib_3_pos_lbl )
label.delete(fib_3_neg_lbl )
label.delete(adr_pos_lbl )
label.delete(adr_neg_lbl )
label.delete(std_0_5_pos_lbl )
label.delete(std_0_5_neg_lbl )
label.delete(std_1_pos_lbl )
label.delete(std_1_neg_lbl )
label.delete(std_2_pos_lbl )
label.delete(std_2_neg_lbl )
// Draw ADR lines
adr_pos := line.new(bar_index, open + today_adr, bar_index+50, open + today_adr,
width=width, color=adr_color, style=get_line_style(adr_style))
adr_neg := line.new(bar_index, open - today_adr, bar_index+50, open - today_adr,
width=width, color=adr_color, style=get_line_style(adr_style))
// Draw ADR labels
if show_labels
adr_pos_lbl := label.new(bar_index+50, open + today_adr, "ADR High (" + str.tostring(adr_days) + "D)",
xloc=xloc.bar_index, textalign=text.align_left, textcolor=adr_color, color=color.new(color.blue, 90), style=label.style_none)
adr_neg_lbl := label.new(bar_index+50, open - today_adr, "ADR Low (" + str.tostring(adr_days) + "D)",
xloc=xloc.bar_index, textalign=text.align_left, textcolor=adr_color, color=color.new(color.red, 90), style=label.style_none)
// Calculate deviations
var float half_dev = na
var float one_dev = na
var float two_dev = na
half_dev := today_adr * std_dev_0_5
one_dev := today_adr * std_dev_1
two_dev := today_adr * std_dev_2
// Draw standard deviation lines (with show/hide options)
if std_0_5_show
std_0_5_pos := line.new(bar_index, (open + today_adr) + half_dev, bar_index+50, (open + today_adr) + half_dev,
width=width, color=std_0_5_color, style=get_line_style(std_0_5_style))
std_0_5_neg := line.new(bar_index, (open - today_adr) - half_dev, bar_index+50, (open - today_adr) - half_dev,
width=width, color=std_0_5_color, style=get_line_style(std_0_5_style))
if show_labels
std_0_5_pos_lbl := label.new(bar_index+50, (open + today_adr) + half_dev, "Std " + str.tostring(std_dev_0_5),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_0_5_color, color=color.new(#000000,100), style=label.style_none)
std_0_5_neg_lbl := label.new(bar_index+50, (open - today_adr) - half_dev, "Std -" + str.tostring(std_dev_0_5),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_0_5_color, color=color.new(#000000,100), style=label.style_none)
if std_1_show
std_1_pos := line.new(bar_index, (open + today_adr) + one_dev, bar_index+50, (open + today_adr) + one_dev,
width=width, color=std_1_color, style=get_line_style(std_1_style))
std_1_neg := line.new(bar_index, (open - today_adr) - one_dev, bar_index+50, (open - today_adr) - one_dev,
width=width, color=std_1_color, style=get_line_style(std_1_style))
if show_labels
std_1_pos_lbl := label.new(bar_index+50, (open + today_adr) + one_dev, "Std " + str.tostring(std_dev_1),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_1_color, color=color.new(#000000,100), style=label.style_none)
std_1_neg_lbl := label.new(bar_index+50, (open - today_adr) - one_dev, "Std -" + str.tostring(std_dev_1),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_1_color, color=color.new(#000000,100), style=label.style_none)
if std_2_show
std_2_pos := line.new(bar_index, (open + today_adr) + two_dev, bar_index+50, (open + today_adr) + two_dev,
width=width, color=std_2_color, style=get_line_style(std_2_style))
std_2_neg := line.new(bar_index, (open - today_adr) - two_dev, bar_index+50, (open - today_adr) - two_dev,
width=width, color=std_2_color, style=get_line_style(std_2_style))
if show_labels
std_2_pos_lbl := label.new(bar_index+50, (open + today_adr) + two_dev, "Std " + str.tostring(std_dev_2),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_2_color, color=color.new(#000000,100), style=label.style_none)
std_2_neg_lbl := label.new(bar_index+50, (open - today_adr) - two_dev, "Std -" + str.tostring(std_dev_2),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_2_color, color=color.new(#000000,100), style=label.style_none)
// Draw Fibonacci lines
if fib_1_show
fib_1_pos := line.new(bar_index, open + today_adr * fib_1_level, bar_index+50, open + today_adr * fib_1_level,
width=width, color=fib_1_color, style=get_line_style(fib_1_style))
fib_1_neg := line.new(bar_index, open - today_adr * fib_1_level, bar_index+50, open - today_adr * fib_1_level,
width=width, color=fib_1_color, style=get_line_style(fib_1_style))
if show_labels
fib_1_pos_lbl := label.new(bar_index+50, open + today_adr * fib_1_level, "Fib " + str.tostring(fib_1_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_1_color, color=color.new(#000000,100), style=label.style_none)
fib_1_neg_lbl := label.new(bar_index+50, open - today_adr * fib_1_level, "Fib -" + str.tostring(fib_1_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_1_color, color=color.new(#000000,100), style=label.style_none)
if fib_2_show
fib_2_pos := line.new(bar_index, open + today_adr * fib_2_level, bar_index+50, open + today_adr * fib_2_level,
width=width, color=fib_2_color, style=get_line_style(fib_2_style))
fib_2_neg := line.new(bar_index, open - today_adr * fib_2_level, bar_index+50, open - today_adr * fib_2_level,
width=width, color=fib_2_color, style=get_line_style(fib_2_style))
if show_labels
fib_2_pos_lbl := label.new(bar_index+50, open + today_adr * fib_2_level, "Fib " + str.tostring(fib_2_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_2_color, color=color.new(#000000,100), style=label.style_none)
fib_2_neg_lbl := label.new(bar_index+50, open - today_adr * fib_2_level, "Fib -" + str.tostring(fib_2_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_2_color, color=color.new(#000000,100), style=label.style_none)
if fib_3_show
fib_3_pos := line.new(bar_index, open + today_adr * fib_3_level, bar_index+50, open + today_adr * fib_3_level,
width=width, color=fib_3_color, style=get_line_style(fib_3_style))
fib_3_neg := line.new(bar_index, open - today_adr * fib_3_level, bar_index+50, open - today_adr * fib_3_level,
width=width, color=fib_3_color, style=get_line_style(fib_3_style))
if show_labels
fib_3_pos_lbl := label.new(bar_index+50, open + today_adr * fib_3_level, "Fib " + str.tostring(fib_3_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_3_color, color=color.new(#000000,100), style=label.style_none)
fib_3_neg_lbl := label.new(bar_index+50, open - today_adr * fib_3_level, "Fib -" + str.tostring(fib_3_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_3_color, color=color.new(#000000,100), style=label.style_none)
else
today_adr := today_adr
line.set_x2(adr_pos, bar_index+50)
line.set_x2(adr_neg, bar_index+50)
if show_labels
label.set_x(adr_pos_lbl, bar_index+50)
label.set_x(adr_neg_lbl, bar_index+50)
if std_0_5_show
line.set_x2(std_0_5_pos, bar_index+50)
line.set_x2(std_0_5_neg, bar_index+50)
if show_labels
label.set_x(std_0_5_pos_lbl, bar_index+50)
label.set_x(std_0_5_neg_lbl, bar_index+50)
if std_1_show
line.set_x2(std_1_pos, bar_index+50)
line.set_x2(std_1_neg, bar_index+50)
if show_labels
label.set_x(std_1_pos_lbl, bar_index+50)
label.set_x(std_1_neg_lbl, bar_index+50)
if std_2_show
line.set_x2(std_2_pos, bar_index+50)
line.set_x2(std_2_neg, bar_index+50)
if show_labels
label.set_x(std_2_pos_lbl, bar_index+50)
label.set_x(std_2_neg_lbl, bar_index+50)
if fib_1_show
line.set_x2(fib_1_pos, bar_index+50)
line.set_x2(fib_1_neg, bar_index+50)
if show_labels
label.set_x(fib_1_pos_lbl, bar_index+50)
label.set_x(fib_1_neg_lbl, bar_index+50)
if fib_2_show
line.set_x2(fib_2_pos, bar_index+50)
line.set_x2(fib_2_neg, bar_index+50)
if show_labels
label.set_x(fib_2_pos_lbl, bar_index+50)
label.set_x(fib_2_neg_lbl, bar_index+50)
if fib_3_show
line.set_x2(fib_3_pos, bar_index+50)
line.set_x2(fib_3_neg, bar_index+50)
if show_labels
label.set_x(fib_3_pos_lbl, bar_index+50)
label.set_x(fib_3_neg_lbl, bar_index+50)
// Stats calculation
var float d_hi = high
var float d_lo = low
var float d_open = open
var float d_range = array.new_float()
var float adr_val = na
var float d_adr_hi = na
var float d_adr_lo = na
type adr_stats
int hit_adr_hi = 0
int hit_adr_lo = 0
int hit_adr_both = 0
int thru_adr_hi = 0
int thru_adr_lo = 0
int hit_fib_1_hi = 0
int hit_fib_1_lo = 0
int hit_fib_2_hi = 0
int hit_fib_2_lo = 0
int hit_fib_3_hi = 0
int hit_fib_3_lo = 0
int hit_std_0_5_hi = 0
int hit_std_0_5_lo = 0
int hit_std_1_hi = 0
int hit_std_1_lo = 0
int hit_std_2_hi = 0
int hit_std_2_lo = 0
int d_count = 0
var adr_sun = adr_stats.new()
var adr_mon = adr_stats.new()
var adr_tue = adr_stats.new()
var adr_wed = adr_stats.new()
var adr_thu = adr_stats.new()
var adr_fri = adr_stats.new()
var adr_sat = adr_stats.new()
if timeframe.change("D")
x = adr_mon
dow = dayofweek(time , "America/New_York")
if dow == dayofweek.tuesday
x := adr_tue
else if dow == dayofweek.wednesday
x := adr_wed
else if dow == dayofweek.thursday
x := adr_thu
else if dow == dayofweek.friday
x := adr_fri
else if dow == dayofweek.saturday
x := adr_sat
else if dow == dayofweek.sunday
x := adr_sun
if not na(adr_val)
x.d_count += 1
if d_hi > d_adr_hi
x.hit_adr_hi += 1
if d_lo < d_adr_lo
x.hit_adr_lo += 1
if d_hi > d_adr_hi and d_lo < d_adr_lo
x.hit_adr_both += 1
if close > d_adr_hi
x.thru_adr_hi += 1
if close < d_adr_lo
x.thru_adr_lo += 1
if fib_1_show
if d_hi > d_open + (adr_val * fib_1_level)
x.hit_fib_1_hi += 1
if d_lo < d_open - (adr_val * fib_1_level)
x.hit_fib_1_lo += 1
if fib_2_show
if d_hi > d_open + (adr_val * fib_2_level)
x.hit_fib_2_hi += 1
if d_lo < d_open - (adr_val * fib_2_level)
x.hit_fib_2_lo += 1
if fib_3_show
if d_hi > d_open + (adr_val * fib_3_level)
x.hit_fib_3_hi += 1
if d_lo < d_open - (adr_val * fib_3_level)
x.hit_fib_3_lo += 1
if std_0_5_show
if d_hi > d_adr_hi + (adr_val * std_dev_0_5)
x.hit_std_0_5_hi += 1
if d_lo < d_adr_lo - (adr_val * std_dev_0_5)
x.hit_std_0_5_lo += 1
if std_1_show
if d_hi > d_adr_hi + (adr_val * std_dev_1)
x.hit_std_1_hi += 1
if d_lo < d_adr_lo - (adr_val * std_dev_1)
x.hit_std_1_lo += 1
if std_2_show
if d_hi > d_adr_hi + (adr_val * std_dev_2)
x.hit_std_2_hi += 1
if d_lo < d_adr_lo - (adr_val * std_dev_2)
x.hit_std_2_lo += 1
if timeframe.change("D")
d_open := open
array.unshift(d_range, d_hi - d_lo)
if array.size(d_range) > adr_days
array.pop(d_range)
if array.size(d_range) == adr_days
adr_val := array.avg(d_range)
d_adr_hi := open + (adr_val*std_x)/2
d_adr_lo := open - (adr_val*std_x)/2
d_hi := high
d_lo := low
else
d_hi := math.max(high, d_hi)
d_lo := math.min(low, d_lo)
// Table functions
get_table_pos(pos) =>
switch pos
"Bottom Center" => position.bottom_center
"Bottom Left" => position.bottom_left
"Bottom Right" => position.bottom_right
"Middle Center" => position.middle_center
"Middle Left" => position.middle_left
"Middle Right" => position.middle_right
"Top Center" => position.top_center
"Top Left" => position.top_left
"Top Right" => position.top_right
var _loc = get_table_pos(tbl_loc)
get_table_size(size) =>
switch size
'Tiny' => size.tiny
'Small' => size.small
'Normal' => size.normal
'Large' => size.large
'Huge' => size.huge
'Auto' => size.auto
var _size = get_table_size(tbl_size)
fmt_sample(s, float pct, int count) =>
str.format("{0,number,percent}", pct) + (sample_size ? " ("+str.tostring(count)+")" : "")
// Draw table
if barstate.islast and show_stats
var tbl = table.new(_loc, 100, 100, chart.bg_color, chart.fg_color, 2, chart.fg_color, 1)
// Column headers (days + empty first cell)
table.cell(tbl, 0, 0, "Level", text_size = _size)
table.cell(tbl, 1, 0, "Mon", bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, 0, "Tue", bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, 0, "Wed", bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, 0, "Thu", bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, 0, "Fri", bgcolor = rch_color, text_size = _size)
// Row headers and data
var row = 1
table.cell(tbl, 0, row, "ADR High", text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_adr_hi / adr_mon.d_count, adr_mon.hit_adr_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_adr_hi / adr_tue.d_count, adr_tue.hit_adr_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_adr_hi / adr_wed.d_count, adr_wed.hit_adr_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_adr_hi / adr_thu.d_count, adr_thu.hit_adr_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_adr_hi / adr_fri.d_count, adr_fri.hit_adr_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "ADR Low", text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_adr_lo / adr_mon.d_count, adr_mon.hit_adr_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_adr_lo / adr_tue.d_count, adr_tue.hit_adr_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_adr_lo / adr_wed.d_count, adr_wed.hit_adr_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_adr_lo / adr_thu.d_count, adr_thu.hit_adr_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_adr_lo / adr_fri.d_count, adr_fri.hit_adr_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "ADR High (Close)", text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.thru_adr_hi / adr_mon.d_count, adr_mon.thru_adr_hi), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.thru_adr_hi / adr_tue.d_count, adr_tue.thru_adr_hi), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.thru_adr_hi / adr_wed.d_count, adr_wed.thru_adr_hi), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.thru_adr_hi / adr_thu.d_count, adr_thu.thru_adr_hi), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.thru_adr_hi / adr_fri.d_count, adr_fri.thru_adr_hi), bgcolor = csd_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "ADR Low (Close)", text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.thru_adr_lo / adr_mon.d_count, adr_mon.thru_adr_lo), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.thru_adr_lo / adr_tue.d_count, adr_tue.thru_adr_lo), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.thru_adr_lo / adr_wed.d_count, adr_wed.thru_adr_lo), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.thru_adr_lo / adr_thu.d_count, adr_thu.thru_adr_lo), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.thru_adr_lo / adr_fri.d_count, adr_fri.thru_adr_lo), bgcolor = csd_color, text_size = _size)
row := row + 1
if fib_1_show
table.cell(tbl, 0, row, "Fib " + str.tostring(fib_1_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_1_hi / adr_mon.d_count, adr_mon.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_1_hi / adr_tue.d_count, adr_tue.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_1_hi / adr_wed.d_count, adr_wed.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_1_hi / adr_thu.d_count, adr_thu.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_1_hi / adr_fri.d_count, adr_fri.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_1_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_1_lo / adr_mon.d_count, adr_mon.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_1_lo / adr_tue.d_count, adr_tue.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_1_lo / adr_wed.d_count, adr_wed.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_1_lo / adr_thu.d_count, adr_thu.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_1_lo / adr_fri.d_count, adr_fri.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if fib_2_show
table.cell(tbl, 0, row, "Fib " + str.tostring(fib_2_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_2_hi / adr_mon.d_count, adr_mon.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_2_hi / adr_tue.d_count, adr_tue.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_2_hi / adr_wed.d_count, adr_wed.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_2_hi / adr_thu.d_count, adr_thu.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_2_hi / adr_fri.d_count, adr_fri.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_2_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_2_lo / adr_mon.d_count, adr_mon.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_2_lo / adr_tue.d_count, adr_tue.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_2_lo / adr_wed.d_count, adr_wed.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_2_lo / adr_thu.d_count, adr_thu.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_2_lo / adr_fri.d_count, adr_fri.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if fib_3_show
table.cell(tbl, 0, row, "Fib " + str.tostring(fib_3_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_3_hi / adr_mon.d_count, adr_mon.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_3_hi / adr_tue.d_count, adr_tue.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_3_hi / adr_wed.d_count, adr_wed.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_3_hi / adr_thu.d_count, adr_thu.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_3_hi / adr_fri.d_count, adr_fri.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_3_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_3_lo / adr_mon.d_count, adr_mon.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_3_lo / adr_tue.d_count, adr_tue.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_3_lo / adr_wed.d_count, adr_wed.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_3_lo / adr_thu.d_count, adr_thu.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_3_lo / adr_fri.d_count, adr_fri.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if std_0_5_show
table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_0_5), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_0_5_hi / adr_mon.d_count, adr_mon.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_0_5_hi / adr_tue.d_count, adr_tue.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_0_5_hi / adr_wed.d_count, adr_wed.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_0_5_hi / adr_thu.d_count, adr_thu.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_0_5_hi / adr_fri.d_count, adr_fri.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_0_5), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_0_5_lo / adr_mon.d_count, adr_mon.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_0_5_lo / adr_tue.d_count, adr_tue.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_0_5_lo / adr_wed.d_count, adr_wed.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_0_5_lo / adr_thu.d_count, adr_thu.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_0_5_lo / adr_fri.d_count, adr_fri.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if std_1_show
table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_1), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_1_hi / adr_mon.d_count, adr_mon.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_1_hi / adr_tue.d_count, adr_tue.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_1_hi / adr_wed.d_count, adr_wed.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_1_hi / adr_thu.d_count, adr_thu.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_1_hi / adr_fri.d_count, adr_fri.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_1), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_1_lo / adr_mon.d_count, adr_mon.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_1_lo / adr_tue.d_count, adr_tue.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_1_lo / adr_wed.d_count, adr_wed.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_1_lo / adr_thu.d_count, adr_thu.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_1_lo / adr_fri.d_count, adr_fri.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if std_2_show
table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_2), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_2_hi / adr_mon.d_count, adr_mon.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_2_hi / adr_tue.d_count, adr_tue.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_2_hi / adr_wed.d_count, adr_wed.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_2_hi / adr_thu.d_count, adr_thu.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_2_hi / adr_fri.d_count, adr_fri.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_2), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_2_lo / adr_mon.d_count, adr_mon.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_2_lo / adr_tue.d_count, adr_tue.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_2_lo / adr_wed.d_count, adr_wed.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_2_lo / adr_thu.d_count, adr_thu.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_2_lo / adr_fri.d_count, adr_fri.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB**
A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context.
* See trend direction at a glance with SMAs.
* Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200).
* Highlight big regime shifts with special Golden/Death tags.
* Read momentum and volatility with the candle heatmap.
* Add Bollinger Bands if you want classic mean-reversion context.
Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes.
# What This Indicator Does (plain English)
* **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead).
* **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint.
* **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out.
* **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient.
* **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them.
* **Includes alert conditions** for Golden and Death Cross so you can automate notifications.
---
# Settings — Simple Explanations
## Source
* **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`.
## SMA 50
* **Show 50**: Turn the SMA(50) line on/off.
* **Length 50**: How many bars to average. Lower = faster but noisier.
* **Color 50** / **Width 50**: Visual style.
* **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe.
## SMA 100
* **Show 100**: Turn the SMA(100) line on/off.
* **Length 100**: Bars used for the mid-term trend.
* **Color 100** / **Width 100**: Visual style.
* **Timeframe 100**: Optional alternate timeframe for SMA(100).
## SMA 200
* **Show 200**: Turn the SMA(200) line on/off.
* **Length 200**: Bars used for the long-term trend.
* **Color 200** / **Width 200**: Visual style.
* **Timeframe 200**: Optional alternate timeframe for SMA(200).
## Signals (crossover labels)
* **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200).
* **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint).
* **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often.
* **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish.
### Label Offset
* **Offset mode**: Choose how to push labels away from price:
* **Percent**: Offset is a % of price.
* **ATR x**: Offset is ATR(14) × multiplier.
* **Percent of price (%)**: Used when mode = Percent.
* **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x.
### Label Colors
* **Bull color** / **Bear color**: Background of triangle labels.
* **Bull label text color** / **Bear label text color**: Text color inside the triangles.
## Golden / Death Cross
* **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200.
* **Golden label color** / **Golden text color**: Styling for Golden label.
* **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200.
* **Death label color** / **Death text color**: Styling for Death label.
## Candle Heatmap
* **Enable heatmap candle colors**: Turns the heatmap on/off.
* **Length**: Lookback for the regression midline and volatility measure.
* **Deviation Multiplier**: Band width around the midline (bigger = wider).
* **Volatility basis**:
* **RMA Range** (smoothed high-low range)
* **Stdev** (standard deviation of close)
* **Upper/Middle/Lower color**: Gradient colors for the heatmap.
* **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible.
* **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring.
## Bollinger Bands (optional)
* **Show Bollinger Bands**: Toggle the overlay on/off.
* **Length**: Basis SMA length.
* **StdDev Multiplier**: Distance of bands from the basis in standard deviations.
* **Basis color** / **Band color**: Line colors for basis and bands.
* **Bands fill transparency**: Opacity of the fill between upper/lower bands.
---
# Features & How It Works
## 1) HTF-Safe SMAs
Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars).
## 2) Crossover Labels (Three Pairs)
* **50↔100**, **50↔200**, **100↔200**:
* **Triangle Up** label when the first SMA crosses **above** the second.
* **Triangle Down** label when it crosses **below**.
* Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish).
* **Debounce** spacing avoids repeated labels for the same pair too close together.
## 3) Golden / Death Cross Highlights
* **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift).
* **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift).
* Separate styling so they stand out from regular cross labels.
## 4) Candle Heatmap
* Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel.
* Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish.
* Helps you see momentum and “where price sits” relative to a dynamic channel.
## 5) Bollinger Bands (Optional)
* Classic **basis SMA** ± **StdDev** bands.
* Light visual context for mean-reversion and volatility expansion.
## 6) Alerts
* **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200`
* **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200`
Add these to your alerts to get notified automatically.
---
# Tips & Notes
* For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes.
* Use the **Trend Filter** to align signals with the broader stack and cut noise.
* For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame.
* Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
RSI Overbought/Oversold + Divergence Indicator (new)//@version=5
indicator('CryptoSignalScanner - RSI Overbought/Oversold + Divergence Indicator (new)',
//---------------------------------------------------------------------------------------------------------------------------------
//--- Define Colors ---------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------
vWhite = #FFFFFF
vViolet = #C77DF3
vIndigo = #8A2BE2
vBlue = #009CDF
vGreen = #5EBD3E
vYellow = #FFB900
vRed = #E23838
longColor = color.green
shortColor = color.red
textColor = color.white
bullishColor = color.rgb(38,166,154,0) //Used in the display table
bearishColor = color.rgb(239,83,79,0) //Used in the display table
nomatchColor = color.silver //Used in the display table
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Functions--------------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
TF2txt(TF) =>
switch TF
"S" => "RSI 1s:"
"5S" => "RSI 5s:"
"10S" => "RSI 10s:"
"15S" => "RSI 15s:"
"30S" => "RSI 30s"
"1" => "RSI 1m:"
"3" => "RSI 3m:"
"5" => "RSI 5m:"
"15" => "RSI 15m:"
"30" => "RSI 30m"
"45" => "RSI 45m"
"60" => "RSI 1h:"
"120" => "RSI 2h:"
"180" => "RSI 3h:"
"240" => "RSI 4h:"
"480" => "RSI 8h:"
"D" => "RSI 1D:"
"1D" => "RSI 1D:"
"2D" => "RSI 2D:"
"3D" => "RSI 2D:"
"3D" => "RSI 3W:"
"W" => "RSI 1W:"
"1W" => "RSI 1W:"
"M" => "RSI 1M:"
"1M" => "RSI 1M:"
"3M" => "RSI 3M:"
"6M" => "RSI 6M:"
"12M" => "RSI 12M:"
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Show/Hide Settings ----------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsiShowInput = input(true, title='Show RSI', group='Show/Hide Settings')
maShowInput = input(false, title='Show MA', group='Show/Hide Settings')
showRSIMAInput = input(true, title='Show RSIMA Cloud', group='Show/Hide Settings')
rsiBandShowInput = input(true, title='Show Oversold/Overbought Lines', group='Show/Hide Settings')
rsiBandExtShowInput = input(true, title='Show Oversold/Overbought Extended Lines', group='Show/Hide Settings')
rsiHighlightShowInput = input(true, title='Show Oversold/Overbought Highlight Lines', group='Show/Hide Settings')
DivergenceShowInput = input(true, title='Show RSI Divergence Labels', group='Show/Hide Settings')
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Table Settings --------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsiShowTable = input(true, title='Show RSI Table Information box', group="RSI Table Settings")
rsiTablePosition = input.string(title='Location', defval='middle_right', options= , group="RSI Table Settings", inline='1')
rsiTextSize = input.string(title=' Size', defval='small', options= , group="RSI Table Settings", inline='1')
rsiShowTF1 = input(true, title='Show TimeFrame1', group="RSI Table Settings", inline='tf1')
rsiTF1 = input.timeframe("15", title=" Time", group="RSI Table Settings", inline='tf1')
rsiShowTF2 = input(true, title='Show TimeFrame2', group="RSI Table Settings", inline='tf2')
rsiTF2 = input.timeframe("60", title=" Time", group="RSI Table Settings", inline='tf2')
rsiShowTF3 = input(true, title='Show TimeFrame3', group="RSI Table Settings", inline='tf3')
rsiTF3 = input.timeframe("240", title=" Time", group="RSI Table Settings", inline='tf3')
rsiShowTF4 = input(true, title='Show TimeFrame4', group="RSI Table Settings", inline='tf4')
rsiTF4 = input.timeframe("D", title=" Time", group="RSI Table Settings", inline='tf4')
rsiShowHist = input(true, title='Show RSI Historical Columns', group="RSI Table Settings", tooltip='Show the information of the 2 previous closed candles')
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- RSI Input Settings ----------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsiSourceInput = input.source(close, 'Source', group='RSI Settings')
rsiLengthInput = input.int(14, minval=1, title='RSI Length', group='RSI Settings', tooltip='Here we set the RSI lenght')
rsiColorInput = input.color(#26a69a, title="RSI Color", group='RSI Settings')
rsimaColorInput = input.color(#ef534f, title="RSIMA Color", group='RSI Settings')
rsiBandColorInput = input.color(#787B86, title="RSI Band Color", group='RSI Settings')
rsiUpperBandExtInput = input.int(title='RSI Overbought Extended Line', defval=80, minval=50, maxval=100, group='RSI Settings')
rsiUpperBandInput = input.int(title='RSI Overbought Line', defval=70, minval=50, maxval=100, group='RSI Settings')
rsiLowerBandInput = input.int(title='RSI Oversold Line', defval=30, minval=0, maxval=50, group='RSI Settings')
rsiLowerBandExtInput = input.int(title='RSI Oversold Extended Line', defval=20, minval=0, maxval=50, group='RSI Settings')
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- MA Input Settings -----------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
maTypeInput = input.string("EMA", title="MA Type", options= , group="MA Settings")
maLengthInput = input.int(14, title="MA Length", group="MA Settings")
maColorInput = input.color(color.yellow, title="MA Color", group='MA Settings') //#7E57C2
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Divergence Input Settings ---------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
lbrInput = input(title="Pivot Lookback Right", defval=2, group='RSI Divergence Settings')
lblInput = input(title="Pivot Lookback Left", defval=2, group='RSI Divergence Settings')
lbRangeMaxInput = input(title="Max of Lookback Range", defval=10, group='RSI Divergence Settings')
lbRangeMinInput = input(title="Min of Lookback Range", defval=2, group='RSI Divergence Settings')
plotBullInput = input(title="Plot Bullish", defval=true, group='RSI Divergence Settings')
plotHiddenBullInput = input(title="Plot Hidden Bullish", defval=true, group='RSI Divergence Settings')
plotBearInput = input(title="Plot Bearish", defval=true, group='RSI Divergence Settings')
plotHiddenBearInput = input(title="Plot Hidden Bearish", defval=true, group='RSI Divergence Settings')
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- RSI Calculation -------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsi = ta.rsi(rsiSourceInput, rsiLengthInput)
rsiprevious = rsi
= request.security(syminfo.tickerid, rsiTF1, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, rsiTF2, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, rsiTF3, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, rsiTF4, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on)
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- MA Calculation -------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
ma(source, length, type) =>
switch type
"SMA" => ta.sma(source, length)
"Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
rsiMA = ma(rsi, maLengthInput, maTypeInput)
rsiMAPrevious = rsiMA
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Stoch RSI Settings + Calculation --------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
showStochRSI = input(false, title="Show Stochastic RSI", group='Stochastic RSI Settings')
smoothK = input.int(title="Stochastic K", defval=3, minval=1, maxval=10, group='Stochastic RSI Settings')
smoothD = input.int(title="Stochastic D", defval=4, minval=1, maxval=10, group='Stochastic RSI Settings')
lengthRSI = input.int(title="Stochastic RSI Lenght", defval=14, minval=1, group='Stochastic RSI Settings')
lengthStoch = input.int(title="Stochastic Lenght", defval=14, minval=1, group='Stochastic RSI Settings')
colorK = input.color(color.rgb(41,98,255,0), title="K Color", group='Stochastic RSI Settings', inline="1")
colorD = input.color(color.rgb(205,109,0,0), title="D Color", group='Stochastic RSI Settings', inline="1")
StochRSI = ta.rsi(rsiSourceInput, lengthRSI)
k = ta.sma(ta.stoch(StochRSI, StochRSI, StochRSI, lengthStoch), smoothK) //Blue Line
d = ta.sma(k, smoothD) //Red Line
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Divergence Settings ------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
bearColor = color.red
bullColor = color.green
hiddenBullColor = color.new(color.green, 50)
hiddenBearColor = color.new(color.red, 50)
//textColor = color.white
noneColor = color.new(color.white, 100)
osc = rsi
plFound = na(ta.pivotlow(osc, lblInput, lbrInput)) ? false : true
phFound = na(ta.pivothigh(osc, lblInput, lbrInput)) ? false : true
_inRange(cond) =>
bars = ta.barssince(cond == true)
lbRangeMinInput <= bars and bars <= lbRangeMaxInput
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Define Plot & Line Colors ---------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
rsiColor = rsi >= rsiMA ? rsiColorInput : rsimaColorInput
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Plot Lines ------------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
// Create a horizontal line at a specific price level
myLine = line.new(bar_index , 75, bar_index, 75, color = color.rgb(187, 14, 14), width = 2)
bottom = line.new(bar_index , 50, bar_index, 50, color = color.rgb(223, 226, 28), width = 2)
mymainLine = line.new(bar_index , 60, bar_index, 60, color = color.rgb(13, 154, 10), width = 3)
hline(50, title='RSI Baseline', color=color.new(rsiBandColorInput, 50), linestyle=hline.style_solid, editable=false)
hline(rsiBandExtShowInput ? rsiUpperBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false)
hline(rsiBandShowInput ? rsiUpperBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false)
hline(rsiBandShowInput ? rsiLowerBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false)
hline(rsiBandExtShowInput ? rsiLowerBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false)
bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandExtInput ? color.new(rsiColorInput, 70) : na : na, title="Show Extended Oversold Highlight", editable=false)
bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandInput ? rsi < rsiUpperBandExtInput ? color.new(#64ffda, 90) : na : na: na, title="Show Overbought Highlight", editable=false)
bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? rsi > rsiLowerBandExtInput ? color.new(#F43E32, 90) : na : na : na, title="Show Extended Oversold Highlight", editable=false)
bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? color.new(rsimaColorInput, 70) : na : na, title="Show Oversold Highlight", editable=false)
maPlot = plot(maShowInput ? rsiMA : na, title='MA', color=color.new(maColorInput,0), linewidth=1)
rsiMAPlot = plot(showRSIMAInput ? rsiMA : na, title="RSI EMA", color=color.new(rsimaColorInput,0), editable=false, display=display.none)
rsiPlot = plot(rsiShowInput ? rsi : na, title='RSI', color=color.new(rsiColor,0), linewidth=1)
fill(rsiPlot, rsiMAPlot, color=color.new(rsiColor, 60), title="RSIMA Cloud")
plot(showStochRSI ? k : na, title='Stochastic K', color=colorK, linewidth=1)
plot(showStochRSI ? d : na, title='Stochastic D', color=colorD, linewidth=1)
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Plot Divergence -------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
// Regular Bullish
// Osc: Higher Low
oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Lower Low
priceLL = low < ta.valuewhen(plFound, low , 1)
bullCond = plotBullInput and priceLL and oscHL and plFound
plot(
plFound ? osc : na,
offset=-lbrInput,
title="Regular Bullish",
linewidth=2,
color=(bullCond ? bullColor : noneColor)
)
plotshape(
DivergenceShowInput ? bullCond ? osc : na : na,
offset=-lbrInput,
title="Regular Bullish Label",
text=" Bull ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Hidden Bullish
// Osc: Lower Low
oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Higher Low
priceHL = low > ta.valuewhen(plFound, low , 1)
hiddenBullCond = plotHiddenBullInput and priceHL and oscLL and plFound
plot(
plFound ? osc : na,
offset=-lbrInput,
title="Hidden Bullish",
linewidth=2,
color=(hiddenBullCond ? hiddenBullColor : noneColor)
)
plotshape(
DivergenceShowInput ? hiddenBullCond ? osc : na : na,
offset=-lbrInput,
title="Hidden Bullish Label",
text=" H Bull ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Regular Bearish
// Osc: Lower High
oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
// Price: Higher High
priceHH = high > ta.valuewhen(phFound, high , 1)
bearCond = plotBearInput and priceHH and oscLH and phFound
plot(
phFound ? osc : na,
offset=-lbrInput,
title="Regular Bearish",
linewidth=2,
color=(bearCond ? bearColor : noneColor)
)
plotshape(
DivergenceShowInput ? bearCond ? osc : na : na,
offset=-lbrInput,
title="Regular Bearish Label",
text=" Bear ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Hidden Bearish
// Osc: Higher High
oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
// Price: Lower High
priceLH = high < ta.valuewhen(phFound, high , 1)
hiddenBearCond = plotHiddenBearInput and priceLH and oscHH and phFound
plot(
phFound ? osc : na,
offset=-lbrInput,
title="Hidden Bearish",
linewidth=2,
color=(hiddenBearCond ? hiddenBearColor : noneColor)
)
plotshape(
DivergenceShowInput ? hiddenBearCond ? osc : na : na,
offset=-lbrInput,
title="Hidden Bearish Label",
text=" H Bear ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Check RSI Lineup ------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
bullTF = rsi > rsi and rsi > rsi
bearTF = rsi < rsi and rsi < rsi
bullTF1 = rsi1 > rsi1_1 and rsi1_1 > rsi1_2
bearTF1 = rsi1 < rsi1_1 and rsi1_1 < rsi1_2
bullTF2 = rsi2 > rsi2_1 and rsi2_1 > rsi2_2
bearTF2 = rsi2 < rsi2_1 and rsi2_1 < rsi2_2
bullTF3 = rsi3 > rsi3_1 and rsi3_1 > rsi3_2
bearTF3 = rsi3 < rsi3_1 and rsi3_1 < rsi3_2
bullTF4 = rsi4 > rsi4_1 and rsi4_1 > rsi4_2
bearTF4 = rsi4 < rsi4_1 and rsi4_1 < rsi4_2
bbTxt(bull,bear) =>
bull ? "BULLISH" : bear ? "BEARISCH" : 'NO LINEUP'
bbColor(bull,bear) =>
bull ? bullishColor : bear ? bearishColor : nomatchColor
newTC(tBox, col, row, txt, width, txtColor, bgColor, txtHA, txtSize) =>
table.cell(table_id=tBox,column=col, row=row, text=txt, width=width,text_color=txtColor,bgcolor=bgColor, text_halign=txtHA, text_size=txtSize)
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
//--- Define RSI Table Setting ----------------------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------------------------------------------------
width_c0 = 0
width_c1 = 0
if rsiShowTable
var tBox = table.new(position=rsiTablePosition, columns=5, rows=6, bgcolor=color.rgb(18,22,33,50), frame_color=color.black, frame_width=1, border_color=color.black, border_width=1)
newTC(tBox, 0,1,"RSI Current",width_c0,color.orange,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,1,str.format(" {0,number,#.##} ", rsi),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,1,bbTxt(bullTF, bearTF),width_c0,vWhite,bbColor(bullTF, bearTF),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
if rsiShowTF1
newTC(tBox, 0,2,TF2txt(rsiTF1),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,2,str.format(" {0,number,#.##} ", rsi1),width_c0,vWhite,rsi1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,2,bbTxt(bullTF1, bearTF1),width_c0,vWhite,bbColor(bullTF1,bearTF1),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,2,str.format(" {0,number,#.##} ", rsi1_1),width_c0,vWhite,rsi1_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,2,str.format(" {0,number,#.##} ", rsi1_2),width_c0,vWhite,rsi1_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
if rsiShowTF2
newTC(tBox, 0,3,TF2txt(rsiTF2),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,3,str.format(" {0,number,#.##} ", rsi2),width_c0,vWhite,rsi2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,3,bbTxt(bullTF2, bearTF2),width_c0,vWhite,bbColor(bullTF2,bearTF2),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,3,str.format(" {0,number,#.##} ", rsi2_1),width_c0,vWhite,rsi2_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,3,str.format(" {0,number,#.##} ", rsi2_2),width_c0,vWhite,rsi2_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
if rsiShowTF3
newTC(tBox, 0,4,TF2txt(rsiTF3),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,4,str.format(" {0,number,#.##} ", rsi3),width_c0,vWhite,rsi3 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,4,bbTxt(bullTF3, bearTF3),width_c0,vWhite,bbColor(bullTF3,bearTF3),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,4,str.format(" {0,number,#.##} ", rsi3_1),width_c0,vWhite,rsi3_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,4,str.format(" {0,number,#.##} ", rsi3_2),width_c0,vWhite,rsi3_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
if rsiShowTF4
newTC(tBox, 0,5,TF2txt(rsiTF4),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize)
newTC(tBox, 1,5,str.format(" {0,number,#.##} ", rsi4),width_c0,vWhite,rsi4 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 4,5,bbTxt(bullTF4, bearTF4),width_c0,vWhite,bbColor(bullTF4,bearTF4),'center',rsiTextSize)
if rsiShowHist
newTC(tBox, 2,5,str.format(" {0,number,#.##} ", rsi4_1),width_c0,vWhite,rsi4_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
newTC(tBox, 3,5,str.format(" {0,number,#.##} ", rsi4_2),width_c0,vWhite,rsi4_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize)
//------------------------------------------------------
//--- Alerts -------------------------------------------
//------------------------------------------------------
