CNagda-MomentumX - Institutional FlowMomentumX is designed to empower traders with a deeper understanding of market movements by focusing on Institutional Flow and advanced market structure analytics. The core goal is to identify and visualize where major market participants are operating, and to translate these complex footprints into clear, actionable trading signals — all in real time.
Real-time institutional activity mapping
Actionable entry and exit signals based on live market structure
Intuitive dashboard and dynamic chart visuals
Fully customizable modules for trend, liquidity, and order blocks
Core Logic Design
At the heart of MomentumX lies a robust algorithmic engine built to capture and surface institutional trading behavior. By leveraging advanced mathematical models, the indicator calculates institutional volume ratios and price momentum to pinpoint aggressive moves from large participants.
Institutional Volume & Price Momentum:
Utilizes custom volume indicators and price change analysis to detect strong buying or selling pressure, filtering out retail noise.
Liquidity Grab Detection & Activity Zones:
The script identifies liquidity grabs by monitoring abrupt price sweeps at major support/resistance levels—often where institutions trigger stop hunts or reversals. All critical activity zones are automatically color-coded on the chart for instant recognition.
Dashboard Visualization:
A fully dynamic dashboard table overlays live scores for accumulation, distribution, strength, and weakness—giving traders a real-time scan of market health.
Trendline & Order Block Architecture:
The logic auto-detects pivot highs/lows to draw smart trendlines, while the order block system highlights key reversal areas and breaker zones—making market structure clear and actionable.
MomentumX is packed with high-performance modules, each engineered to simplify complex market behavior and enhance decision-making for traders:
Institutional Flow Signals:
Instantly identifies spots where institutional players drive momentum, using unique volume and price activity analytics.
Bullish/Bearish Liquidity Grab Detection:
Marks abrupt price moves that signal stop hunts or reversals, letting traders anticipate snap-backs or trend shifts.
Trendline Auto-Detection:
Smartly draws trendlines based on significant swing highs and lows, automatically adjusting as price evolves.
Order Block System (Rejection/Breaker):
Spots and highlights key reversal zones with order block rectangles, confirming rejections or breakouts at strategic levels.
Dashboard and Bar Coloring:
A clean dashboard overlay presents live market scores, while dynamic bar coloring makes trend, strength, and high-activity periods instantly visible.
User Input Toggles for Each Module:
Every major feature is fully customizable—enable or disable modules to match individual trading setups or preferences.
Scripting/Development
MomentumX’s scripting process is modular, enabling clarity, scalability, and fast optimization throughout development:
Initialization & Inputs:
Start by defining all user input options, module toggles, color settings, and calculation parameters—ensuring maximum flexibility early on.
Core Calculation Functions:
Script advanced institutional volume and price momentum algorithms. Build out swing length logic, market state filters, and activity scoring methods.
Detection Engines:
Develop and integrate engines for liquidity grabs, automated trendline detection, and order block identification—each with dedicated functions for speed and precision.
Visual Overlays & Plotting:
Implement powerful plotting logic for colored bars, score dashboards, trendlines, reversal zones, and liquidity markers—making every data point clear and actionable on the chart.
Testing Handlers:
Add diagnostic panels and debug outputs to refine calculations and assure accuracy in every market environment.
Sample Trade Setups (Usage)
Cnagda MomentumX delivers clarity for multiple trading styles by providing timely, actionable setups grounded in institutional behavior and market structure. Here’s how traders can leverage the indicator for confident decision-making:
Liquidity Grab Reversal
Enter trades around detected liquidity grabs when price sweeps major support/resistance and the dashboard signals a momentum shift.
Example: Wait for a bullish/Bearish grab near market lows/high, with institutional flow turning positive/negative—enter long/short for potential mean reversion.
Order Block Breakout
Trade breakouts when price cleanly rejects or flips key order block zones highlighted on the chart.
Example: Short at a marked breaker block after a rejection signal, confirmed by a downward institutional activity spike.
Trendline Continuation
Ride established market moves by entering on trendline confirmations plotted by the auto-detect system.
Example: Go long after a trendline retest, confirmed by a green bar color and dashboard strength score.
Dashboard Confirmation
Combine dashboard metrics (strength, accumulation, distribution) with bar color overlays for multi-factor entries.
Example: Enter trades only when all market signals align in real time for maximum probability.
For Short Entry check -- Weakness : For Long Entry Check - Strength With Other Indications
MomentumX is not just another indicator – it’s your edge for reading the market like an insider. By transparently mapping institutional flow, uncovering hidden liquidity zones, and color-coding every major structure shift, MomentumX transforms complexity into actionable clarity. Whether you’re scalping, swing trading, or investing, you’ll gain a decisive, real-time advantage on every chart.
Embrace smarter decisions, adapt to changing market conditions instantly, and join a new generation of technically empowered traders.
Customize, observe, and let the market reveal opportunities in a way you’ve never experienced before.
Happy Trading
インジケーターとストラテジー
Price Action [False Break+BreakOut] This indicator is designed to analyze Price Action with a focus on identifying Pivot Points and detecting Breakout and False Break signals.
Key Features:
Pivot Point Detection
Identifies Pivot High and Pivot Low points
Classifies Pivot Points into:
Higher High (HH)
Lower High (LH)
Higher Low (HL)
Lower Low (LL)
Visual Display Options
Pivot point markers (triangles)
Price values at pivot points
Support/Resistance level lines
Fractal Chaos Channel display
Average of Pivot High/Low
False Break Detection
Detects False Break signals
Customizable validation period (1-10 bars)
Option to include candle shadows in engulfing detection
Displays "FalseB!!" labels when detected
Color-coded signals (red for false break up, green for false break down)
Breakout Signals
Shows Breakout (⬆️) and Breakdown (⬇️) signals
Alert conditions for all signal types
Tracks recent breakout/breakdown levels
Main Configuration Settings:
Source data and length parameters for pivot detection
Selective display of different pivot types
Maximum bars to display
Support/Resistance level extension length
Text size customization
Technical Implementation:
Uses ta.pivothigh() and ta.pivotlow() for pivot detection
Implements bar counting for level persistence
Engulfing pattern detection for false breaks
Color-coded visual elements (teal for HH/HL, red for LH/LL)
Comprehensive alert system
Usage:
This indicator is ideal for traders using Price Action strategies, helping to identify trend reversal points, key Support/Resistance levels, and potential genuine/false breakout signals for better trade entries and exits.
Dynamic Support ResistanceDynamic Support Resistance By Harpreet Daulatpuria.
Marking Support and Resistance for every time frame automatically.
Alpha - Multi-Asset Adaptive Trading Strategy# Alpha - Multi-Asset Adaptive Trading Strategy
Overview
Alpha is a comprehensive trading strategy that combines multiple technical analysis components with pre-optimized settings for over 70 different trading instruments across cryptocurrencies, forex, and stocks. The strategy employs an adaptive approach using modified trend detection algorithms, dynamic support/resistance zones, and multi-timeframe confirmation.
Key Features & Originality
1. Adaptive Trend Detection System
- Modified trend-following algorithm with amplitude-based channel deviation
- Dynamic channel width adjustment based on ATR (Average True Range)
- Dual-layer trend confirmation using both price action and momentum indicators
2. Pre-Configured Asset Optimization
The strategy includes carefully backtested parameter sets for:
- **Cryptocurrencies**: BTC, ETH, and 40+ altcoin pairs
- **Forex Pairs**: Major and minor currency pairs
- **Stocks**: TSLA, AAPL, GOOG
- **Commodities**: Gold, Silver, Platinum
- Each configuration is optimized for specific timeframes (5m, 15m, 30m, 45m, 1h)
3. Advanced Risk Management
- Multiple take profit levels (4 targets with customizable position sizing)
- Dynamic stop-loss options (ATR-based or percentage-based)
- Position size allocation across profit targets (default: 30%, 30%, 30%, 10%)
4. Multi-Timeframe Analysis Dashboard
- Real-time analysis across 4 configurable timeframes
- Comprehensive performance metrics display
- Visual representation of current market conditions
5. Market Condition Filtering
- RSI-based trend strength filtering
- ATR-based volatility filtering
- Sideways market detection to avoid choppy conditions
- Customizable filter combinations (ATR only, RSI only, both, or disabled)
How to Use
Initial Setup
1. **Select Asset Configuration**: Choose your trading pair from the "Strategies" dropdown menu
2. **Enable Strategy**: Enter "Alpha" in the code confirmation field
3. **Adjust Timeframe**: Match your chart timeframe to the selected strategy configuration
Parameter Customization
- **Trendline Settings**: Adjust amplitude and channel deviation for sensitivity
- **TP/SL Method**: Choose between ATR-based or percentage-based targets
- **Filtering Options**: Select appropriate market filters for your trading style
- **Backtest Period**: Set the number of days for strategy testing (max 60)
Signal Interpretation
- **BUY/SELL Labels**: Primary entry signals based on trend changes
- **Support/Resistance Zones**: Visual zones showing key price levels
- **Dashboard**: Real-time display of position status, targets, and performance metrics
Important Considerations
Limitations and Warnings
- **Backtesting Period**: Results shown are based on historical data from the specified backtest period
- **No Guarantee**: Past performance does not guarantee future results
- **Market Conditions**: Strategy performance varies with market volatility and trending conditions
- **Repainting**: Some signals may repaint if "Wait For Confirmed Bar" is disabled
Risk Warnings
- The pre-configured settings are starting points and may require adjustment for current market conditions
- Always use appropriate position sizing and risk management
- Test thoroughly on demo accounts before live trading
- Monitor and adjust parameters regularly as market dynamics change
Technical Components
Core Indicators Used
- Modified trend detection with amplitude-based channels
- RSI (Relative Strength Index) for momentum confirmation
- ATR (Average True Range) for volatility measurement
- Support/Resistance detection using pivot points
- Bollinger Band variant for trend confirmation
Alert Functionality
The strategy includes comprehensive alert options for:
- Entry signals (long and short)
- Take profit levels (TP1, TP2, TP3, TP4)
- Stop loss triggers
- Integration with trading bots via webhook messages
Recommended Usage
Best Practices
1. Start with the pre-configured settings for your chosen asset
2. Run backtests over different time periods to verify performance
3. Use the dashboard to monitor real-time strategy performance
4. Adjust filters based on current market conditions
5. Always use stop losses and proper risk management
Timeframe Recommendations
- **Short-Term**: Use 5m, 15m configurations for scalping
- **Mid-Term**: Use 30m, 45m configurations for day trading
- **Long-Term**: Use 1h configurations for swing trading
Updates and Support
The strategy parameters are regularly reviewed and optimized. Users should periodically check for updates to ensure they have the latest configurations.
Disclaimer
This strategy is for educational and informational purposes only. Trading involves substantial risk of loss. Users should conduct their own research and consider their financial situation before trading. The author is not responsible for any trading losses incurred using this strategy.
FVGFVG (Fair Value Gap) Indicator
The Fair Value Gap (FVG) indicator is a powerful tool designed to identify price imbalance zones that often act as critical support and resistance levels in the market. An FVG occurs when there is a gap between the high of one candle and the low of another candle two periods away, creating an unfilled price area that the market tends to revisit. These zones represent areas where institutional orders may be waiting and can provide high-probability trading opportunities.
This indicator automatically detects both bullish and bearish FVGs across any selected timeframe while ensuring complete reliability with no repainting. It uses only confirmed bar data with lookahead protection, making it suitable for live trading and backtesting. The tool features customizable visual elements including zone colors, transparency levels, and timeframe labels, along with automatic mitigation tracking that monitors when FVGs get filled by price action.
Key features include multi-timeframe analysis, extending zones to the right for ongoing relevance, flexible display options for both active and mitigated FVGs, and built-in alert system for new FVG formations. The indicator also provides comprehensive labeling options and maintains a clean chart by automatically managing the maximum number of displayed zones, making it an essential tool for traders following smart money concepts and institutional trading strategies.
Multi-Timeframe MACD ConfluenceMulti-Timeframe MACD Confluence Indicator
This indicator plots Buy and Sell signals based on the confluence of MACD histogram direction across three different timeframes. When the MACD histogram is bullish (above zero) on all selected timeframes, a Buy signal is triggered. When it's bearish (below zero) on all, a Sell signal is shown.
🧠 Key Features:
Customizable timeframes (default: 5min, 15min, 1hr)
Uses traditional MACD: 12/26/9 EMA
Works on any asset or timeframe
Provides visual plot signals and built-in alerts
📈 This tool is ideal for traders who rely on multi-timeframe analysis to validate trend momentum before taking entries.
MGG_FX//@version=5
indicator('MGG_FX', overlay=true, max_bars_back=1000, max_labels_count=500, max_lines_count=500, max_boxes_count=500)
var GRP1 = "ASIAN RANGE"
showLines = input(title='Show Lines', defval=true, group=GRP1)
showBackground = input(title='Show Background', defval=true, group=GRP1)
showMiddleLine = input(title='Show Middle Line', defval=true, group=GRP1)
extendLines = input(title='Extend Line', defval=true, group=GRP1)
rangeTime = input.session(title='Session Time', defval='1700-0100', group=GRP1)
extendTime = input.session(title='Extend Until', defval='0100-0500', group=GRP1)
linesWidth = input.int(1, 'Box And Lines Width', minval=1, maxval=4, group=GRP1)
boxLineColor = input(color.new(#434651,50), 'Box Line Color', group=GRP1)
middleLineColor = input(color.new(#434651,50), 'Middle Line Color', group=GRP1)
backgroundColor = input(color.new(#9598a1,90), 'Box Background Color', group=GRP1)
var GRP5 = "LONDON"
showLines4 = input(title='Show Lines', defval=true, group=GRP5)
showBackground4 = input(title='Show Background', defval=true, group=GRP5)
rangeTime4 = input.session(title='Session Time', defval='0300-0400', group=GRP5)
linesWidth4 = input.int(1, 'Box And Lines Width', minval=1, maxval=4, group=GRP5)
boxLineColor4 = input(color.new(#b2b5be, 95), 'Box Line Color', group=GRP5)
backgroundColor4 = input(color.new(#b2b5be, 90), 'Box Background Color', group=GRP5)
var GRP6 = "NEWYORK"
showLines5 = input(title='Show Lines', defval=true, group=GRP6)
showBackground5 = input(title='Show Background', defval=true, group=GRP6)
rangeTime5 = input.session(title='Session Time', defval='0900-1000', group=GRP6)
linesWidth5 = input.int(1, 'Box And Lines Width', minval=1, maxval=4, group=GRP6)
boxLineColor5 = input(color.new(#b2b5be, 95), 'Box Line Color', group=GRP6)
backgroundColor5 = input(color.new(#b2b5be, 90), 'Box Background Color', group=GRP6)
////////////////////////////////////////////
inSession = not na(time(timeframe.period, rangeTime))
inExtend = not na(time(timeframe.period, extendTime))
startTime = 0
startTime := inSession and not inSession ? time : startTime
//Box lines
var line lowHLine = na
var line topHLine = na
var line leftVLine = na
var line rightVLine = na
var line middleHLine = na
var box bgBox = na
var low_val = 0.0
var high_val = 0.0
if inSession and not inSession
low_val := low
high_val := high
high_val
// Plot lines
if inSession and timeframe.isintraday
if inSession
line.delete(lowHLine)
line.delete(topHLine)
line.delete(leftVLine)
line.delete(rightVLine)
line.delete(middleHLine)
box.delete(bgBox)
if low < low_val
low_val := low
low_val
if high > high_val
high_val := high
high_val
//Create Box
//x1, y1, x2, y2
if showBackground
bgBox := box.new(startTime, high_val, time, low_val, xloc=xloc.bar_time, bgcolor=backgroundColor, border_width=0)
if showLines
lowHLine := line.new(startTime, low_val, time, low_val, xloc=xloc.bar_time, color=boxLineColor, style=line.style_solid, width=linesWidth)
topHLine := line.new(startTime, high_val, time, high_val, xloc=xloc.bar_time, color=boxLineColor, style=line.style_solid, width=linesWidth)
leftVLine := line.new(startTime, high_val, startTime, low_val, xloc=xloc.bar_time, color=boxLineColor, style=line.style_solid, width=linesWidth)
rightVLine := line.new(time, high_val, time, low_val, xloc=xloc.bar_time, color=boxLineColor, style=line.style_solid, width=linesWidth)
//Create Middle line
if showMiddleLine
middleHLine := line.new(startTime, (high_val + low_val) / 2, time, (high_val + low_val) / 2, xloc=xloc.bar_time, color=middleLineColor, style=line.style_solid, width=linesWidth)
else
if inExtend and extendLines and not inSession and timeframe.isintraday
time1 = line.get_x1(lowHLine)
time2 = line.get_x2(lowHLine)
price = line.get_y1(lowHLine)
line.delete(lowHLine)
lowHLine := line.new(time1, price, time, price, xloc=xloc.bar_time, color=boxLineColor, style=line.style_solid, width=linesWidth)
time1 := line.get_x1(topHLine)
time2 := line.get_x2(topHLine)
price := line.get_y1(topHLine)
line.delete(topHLine)
topHLine := line.new(time1, price, time, price, xloc=xloc.bar_time, color=boxLineColor, style=line.style_solid, width=linesWidth)
time1 := line.get_x1(middleHLine)
time2 := line.get_x2(middleHLine)
price := line.get_y1(middleHLine)
line.delete(middleHLine)
middleHLine := line.new(time1, price, time, price, xloc=xloc.bar_time, color=middleLineColor, style=line.style_solid, width=linesWidth)
middleHLine
////////////////////////////////////////////
inSession4 = not na(time(timeframe.period, rangeTime4))
startTime4 = 0
startTime4 := inSession4 and not inSession4 ? time : startTime4
//Box lines
var line lowHLine4 = na
var line topHLine4 = na
var line leftVLine4 = na
var line rightVLine4 = na
var line middleHLine4 = na
var box bgBox4 = na
var low_val4 = 0.0
var high_val4 = 0.0
if inSession4 and not inSession4
low_val4 := low
high_val4 := high
high_val4
// Plot lines
if inSession4 and timeframe.isintraday
if inSession4
line.delete(lowHLine4)
line.delete(topHLine4)
line.delete(leftVLine4)
line.delete(rightVLine4)
line.delete(middleHLine4)
box.delete(bgBox4)
if low < low_val4
low_val4 := low
low_val4
if high > high_val4
high_val4 := high
high_val4
//Create Box
//x1, y1, x2, y2
if showBackground4
bgBox4 := box.new(startTime4, high_val4, time, low_val4, xloc=xloc.bar_time, bgcolor=backgroundColor4, border_width=0)
if showLines4
lowHLine4 := line.new(startTime4, low_val4, time, low_val4, xloc=xloc.bar_time, color=boxLineColor4, style=line.style_solid, width=linesWidth4)
topHLine4 := line.new(startTime4, high_val4, time, high_val4, xloc=xloc.bar_time, color=boxLineColor4, style=line.style_solid, width=linesWidth4)
leftVLine4 := line.new(startTime4, high_val4, startTime4, low_val4, xloc=xloc.bar_time, color=boxLineColor4, style=line.style_solid, width=linesWidth4)
rightVLine4 := line.new(time, high_val4, time, low_val4, xloc=xloc.bar_time, color=boxLineColor4, style=line.style_solid, width=linesWidth4)
////////////////////////////////////////////
inSession5 = not na(time(timeframe.period, rangeTime5))
startTime5 = 0
startTime5 := inSession5 and not inSession5 ? time : startTime5
//Box lines
var line lowHLine5 = na
var line topHLine5 = na
var line leftVLine5 = na
var line rightVLine5 = na
var line middleHLine5 = na
var box bgBox5 = na
var low_val5 = 0.0
var high_val5 = 0.0
if inSession5 and not inSession5
low_val5 := low
high_val5 := high
high_val5
// Plot lines
if inSession5 and timeframe.isintraday
if inSession5
line.delete(lowHLine5)
line.delete(topHLine5)
line.delete(leftVLine5)
line.delete(rightVLine5)
line.delete(middleHLine5)
box.delete(bgBox5)
if low < low_val5
low_val5 := low
low_val5
if high > high_val5
high_val5 := high
high_val5
//Create Box
//x1, y1, x2, y2
if showBackground5
bgBox5 := box.new(startTime5, high_val5, time, low_val5, xloc=xloc.bar_time, bgcolor=backgroundColor5, border_width=0)
if showLines5
lowHLine5 := line.new(startTime5, low_val5, time, low_val5, xloc=xloc.bar_time, color=boxLineColor5, style=line.style_solid, width=linesWidth5)
topHLine5 := line.new(startTime5, high_val5, time, high_val5, xloc=xloc.bar_time, color=boxLineColor5, style=line.style_solid, width=linesWidth5)
leftVLine5 := line.new(startTime5, high_val5, startTime5, low_val5, xloc=xloc.bar_time, color=boxLineColor5, style=line.style_solid, width=linesWidth5)
rightVLine5 := line.new(time, high_val5, time, low_val5, xloc=xloc.bar_time, color=boxLineColor5, style=line.style_solid, width=linesWidth5)
///////////////////////////////////////////////
//INPUTS
ffRange = input.session(title='Time: ', defval='0200-0201', inline='a', group='FF')
ffcolor = input.color(color.new(#b2b5be,20),title="Color:",inline="s_1",group="FF")
ffStyle = input.string(title="-", defval=line.style_solid, options= ,inline="s_1",group="FF")
mmm1Range = input.session(title='Time: ', defval='0430-0431', inline='a', group='MMM1')
mmm1color = input.color(color.new(#b2b5be,20),title="Color:",inline="s_1",group="MMM1")
mmm1Style = input.string(title="-", defval=line.style_solid, options= ,inline="s_1",group="MMM1")
mmm2Range = input.session(title='Time: ', defval='0630-0631', inline='a', group='MMM2')
mmm2color = input.color(color.new(#b2b5be,20),title="Color:",inline="s_1",group="MMM2")
mmm2Style = input.string(title="-", defval=line.style_solid, options= ,inline="s_1",group="MMM2")
mmm3Range = input.session(title='Time: ', defval='0800-0801', inline='a', group='MMM3')
mmm3color = input.color(color.new(#b2b5be,20),title="Color:",inline="s_1",group="mmm3")
mmm3Style = input.string(title="-", defval=line.style_solid, options= ,inline="s_1",group="MMM3")
lcRange = input.session(title='Time: ', defval='1100-1101', inline='a', group='LC')
lccolor = input.color(color.new(#b2b5be,20),title="Color:",inline="s_1",group="LC")
lcStyle = input.string(title="-", defval=line.style_solid, options= ,inline="s_1",group="LC")
//Plot lines
in_session_ff = time(timeframe.period, ffRange)
sessionffActive = in_session_ff and timeframe.multiplier <= 240
var line ff = na
if sessionffActive and sessionffActive == false
ff := line.new(bar_index,high+0.001,bar_index,low-0.001,color=ffcolor, style=ffStyle)
in_session_mmm1 = time(timeframe.period, mmm1Range)
sessionmmm1Active = in_session_mmm1 and timeframe.multiplier <= 240
var line mmm1 = na
if sessionmmm1Active and sessionmmm1Active == false
mmm1 := line.new(bar_index,high+0.001,bar_index,low-0.001,color=mmm1color, style=mmm1Style)
in_session_mmm2 = time(timeframe.period, mmm2Range)
sessionmmm2Active = in_session_mmm2 and timeframe.multiplier <= 240
var line mmm2 = na
if sessionmmm2Active and sessionmmm2Active == false
mmm2 := line.new(bar_index,high+0.001,bar_index,low-0.001,color=mmm2color, style=mmm2Style)
in_session_mmm3 = time(timeframe.period, mmm3Range)
sessionmmm3Active = in_session_mmm3 and timeframe.multiplier <= 240
var line mmm3 = na
if sessionmmm3Active and sessionmmm3Active == false
mmm3 := line.new(bar_index,high+0.001,bar_index,low-0.001,color=mmm3color, style=mmm3Style)
in_session_lc = time(timeframe.period, lcRange)
sessionlcActive = in_session_lc and timeframe.multiplier <= 240
var line lc = na
if sessionlcActive and sessionlcActive == false
lc := line.new(bar_index,high+0.001,bar_index,low-0.001,color=lccolor, style=lcStyle)
//////////////////////////////////////////////////////////////////////
// Inputs
var GRP10 = "Daily Open"
daily = input.string(title='View', defval='Daily Open', group=GRP10)
_offset = input.int(0, title='Offset', minval=0, maxval=2)
o_color = input.color(color.new(#000000, 0), "Open Color", inline="1", group = GRP10)
// FUNCTIONS
t = time
isNewbar = not na(t) and (na(t ) or t > t )
tfInMinutes(simple string tf = "") =>
float chartTf =
timeframe.multiplier * (
timeframe.isseconds ? 1. / 60 :
timeframe.isminutes ? 1. :
timeframe.isdaily ? 60. * 24 :
timeframe.isweekly ? 60. * 24 * 7 :
timeframe.ismonthly ? 60. * 24 * 30.4375 : na)
float result = tf == "" ? chartTf : request.security(syminfo.tickerid, tf, chartTf)
inTimeframe(_t) => tfInMinutes(_t) > tfInMinutes(timeframe.period)
// Range
reso(exp, res) => request.security(syminfo.tickerid, res, exp, lookahead=barmerge.lookahead_on)
getData(_t, _var) =>
o = reso(open , _t)
show = _var != "Off" and inTimeframe(_t)
_time = time(_t)
newbar = na(_time ) or _time > _time
oc = _var == 'Daily Open'
// ---------- Daily ----------
= getData("D", daily)
if d_newbar
if d_oc
line.new(x1=time, y1=d_o, x2=time_close("D"), y2=d_o, xloc=xloc.bar_time, style=line.style_dotted, color=o_color)
//-------------------- WATERMARK--------------------
////////////////////////////////////////////////////
//text inputs
title = input.string("JDVID_FX", "Tittle", group = "NICK NAME")
subtitle = input.string("𝗖𝗬𝗖𝗟𝗘 | 𝗧𝗜𝗠𝗜𝗡𝗚 | 𝗣𝗥𝗘𝗖𝗜𝗦𝗜𝗢𝗡", "Subtitle", group = "text")
//symbol info
symInfoCheck = input.bool(title="Show Symbol Info", defval=true, group = "watermark position")
symInfo = syminfo.ticker + " | " + timeframe.period + (timeframe.isminutes ? "M" : na)
date = str.format("{0}/{1}/{2}", dayofmonth(time_close), month(time_close), year(time_close))
//text positioning
textVPosition = input.string("top", "Vertical Position", options = , group = "watermark position")
textHPosition = input.string("center", "Horizontal Position", options = , group = "watermark position")
//symbol info positioning
symVPosition = input.string("bottom", "Vertical Position", options = , group = "symbol position")
symHPosition = input.string("center", "Horizontal Position", options = , group = "symbol position")
//cell size
cellWidthPercent = input.float(0, "Cell Width (%)", minval = 0, maxval = 100, tooltip = "The width of the cell as a % of the indicator's visual space. Optional. By default, auto-adjusts the width based on the text inside the cell. Value 0 has the same effect.", group = "cell size")
cellHeightPercent = input.float(0, "Cell Height (%)", minval = 0, maxval = 100, tooltip = "The height of the cell as a % of the indicator's visual space. Optional. By default, auto-adjusts the height based on the text inside of the cell. Value 0 has the same effect.", group = "cell size")
//title settings
c_title = input(color.new(color.black, 0), "Title Color", group = "title settings")
s_title = input.string("large", "Title Size", options = , group = "title settings")
a_title = input.string("center","Title Alignment", options = , group = "title settings")
//subtitle settings
c_subtitle = input(color.new(color.black, 30), "Subtitle Color", group = "subtitle settings")
s_subtitle = input.string("small", "Subtitle Size", options = , group = "subtitle settings")
a_subtitle = input.string("center","Subtitle Alignment", options = , group = "subtitle settings")
//symbol settings
c_symInfo = input(color.new(color.black, 30), "Subtitle Color", group = "symbol settings")
s_symInfo = input.string("normal", "Subtitle Size", options = , group = "symbol settings")
a_symInfo = input.string("center","Subtitle Alignment", options = , group = "symbol settings")
c_bg = input(color.new(color.blue, 100), "Background", group = "background")
//text watermark creation
var table textWatermark = table.new(textVPosition + "_" + textHPosition, 1, 3)
table.cell(textWatermark, 0, 0, title, width = cellWidthPercent, height = cellHeightPercent, text_color = c_title, text_halign = a_title, text_size = s_title, bgcolor = c_bg)
table.cell(textWatermark, 0, 1, subtitle, width = cellWidthPercent, height = cellHeightPercent, text_color = c_subtitle, text_halign = a_subtitle, text_size= s_subtitle, bgcolor = c_bg)
//symbol info watermark creation
var table symWatermark = table.new(symVPosition + "_" + symHPosition, 5, 5)
if symInfoCheck
table.cell(symWatermark, 0, 1, symInfo, width = cellWidthPercent, height = cellHeightPercent, text_color = c_symInfo, text_halign = a_symInfo, text_size = s_symInfo, bgcolor = c_bg)
table.cell(symWatermark, 0, 0, date, width = cellWidthPercent, height = cellHeightPercent, text_color = c_symInfo, text_halign = a_symInfo, text_size = s_symInfo, bgcolor = c_bg)
Fractal Strength OscillatorThe Fractal Strength Oscillator Indicator combines the Relative Strength Index (RSI) and Fractal Dimension Index (FDI) to identify market momentum and trend direction. By integrating RSI's momentum signals with FDI's fractal-based trend analysis, this indicator provides clear visual cues for bullish and bearish conditions through colored plots and price bars.
How It Works
RSI Calculation: Computes RSI based on a user-selected price source (default: Close) over a configurable period. Optional smoothing with various moving average types (e.g., SMA, EMA, ALMA) enhances signal clarity.
FDI Calculation: Measures market complexity using a fractal dimension over a user-defined period (default: 20). A threshold (default: 1.45) determines trend strength.
Trend Logic
Bullish Signal: RSI > 55 or FDI < threshold indicates upward momentum
Bearish Signal: RSI < 45 or FDI > threshold indicates downward momentum
Customization & Parameters
RSI Parameters: RSI length, smoothing option , MA type, MA length, ALMA sigma
FDI Parameters: FDI length, trend threshold.
Trading Applications
Momentum Trading: Use RSI and FDI signals for entry/exit points.
Trend Confirmation: Bar coloring aligns with trend signals.
Reversal Detection: Identify shifts when RSI or FDI crosses thresholds
Final Note
The Fractal Strength Oscillator Indicator is a straightforward tool for traders seeking momentum and trend insights. Its combination of RSI, FDI, and visual cues supports informed trading decisions. Backtest thoroughly and use within a broader strategy. This indicator is for educational purposes and not financial advice.
Gamma Exposure Levels by OMG (Oh My Gamma)OMG (Oh My Gamma) - Daily GEX Levels
An operational framework for Gamma analysis with daily data.
Indicator's Purpose & Demo Data
This indicator plots key strategic levels derived from Gamma Exposure (GEX) analysis. It showcases the operational logic of OhMyGamma analytical engine.
IMPORTANT: The levels plotted by this public script are based on a past date's snapshot for demonstration purposes. They are not valid for live trading and will not update automatically.
The real edge comes from using the fresh data structure provided daily.
How to Read the Levels
This indicator is designed to provide actionable intelligence, not just data. Here's how to read it:
The Levels: Each line represents a key strategic zone (Zero Gamma, Call/Put Walls, etc.) where a market reaction is statistically probable due to dealer hedging flows.
Line Thickness = Strategic Importance: The thickness of each line directly corresponds to its strategic rating. Thicker, solid lines represent higher-conviction zones.
Labels & Tooltips: Hover over a level's label on your chart to see its full description, confluences, and strategic rating.
Pro Tip: The Power of Confluence
This indicator is not a standalone "system". It's an institutional-grade intelligence layer. Its predictive power increases exponentially when used to find confluence with your own analysis.
The highest-probability trades occur when a key Gamma level aligns with:
Price Action: Key support/resistance zones, order blocks, or liquidity pools.
Volumetric Indicators: High/Low Volume Nodes (HVN/LVN) from Volume Profile, VWAP, and Anchored VWAP.
Use these levels to confirm your setups and gain the conviction to act.
How to Get the Daily Updated Script
This indicator requires a new Pine Script code each day to load the current session's data.
To get the daily updated code feel free to visit www.ohmygamma.com
Feedback & Suggestions
This tool is built for the community. Suggestions for improvements and new features are highly welcome and help the project evolve. Feel free to get in touch via the contact form on the website.
Disclaimer: This tool is for informational and educational purposes only. Trading involves significant risk. The authors assume no responsibility for any trading decisions.
Buyer/Seller DominanceBuyer/Seller Dominance Indicator
The Buyer/Seller Dominance indicator is a sophisticated market analysis tool that combines Market Profile methodology with volume analysis to identify which side of the market is in control. It analyzes price distribution across a higher timeframe by calculating the Point of Control (POC) and Value Area, then evaluates where the current price sits relative to these key levels. The indicator processes Time Price Opportunity (TPO) data across 20 price channels to build a comprehensive volume profile of each trading session.
The dominance score is calculated using multiple factors including price position relative to POC, Value Area boundaries, volume imbalance between upper and lower profile sections, price momentum, and volume trends. This multi-factor approach provides a robust measure of market sentiment, smoothed using an EMA to filter out noise. The resulting dominance histogram visually represents whether buyers (positive values) or sellers (negative values) are controlling the market.
The indicator generates clear buy and sell signals when dominance crosses key threshold levels, with additional visual aids including background coloring to show market state (buyer/seller/neutral), overbought/oversold levels at ±50, and an information table displaying current market conditions. It's fully customizable with adjustable timeframes, sensitivity settings, Value Area percentages, and color schemes to suit different trading styles and preferences.RetryClaude can make mistakes. Please double-check responses.
FVG + FIBONACCIThe FVG + FIBONACCI indicator is a sophisticated trading tool that combines Fair Value Gap (FVG) detection with Fibonacci analysis across multiple timeframes. It automatically identifies bullish and bearish Fair Value Gaps - price areas where there is no overlap between consecutive candles, creating "gaps" that often act as significant support and resistance zones. The indicator works on any selected higher timeframe while displaying results on the current chart, making it versatile for various trading strategies and timeframe analyses.
What sets this indicator apart is its integration of Fibonacci retracement levels within each detected FVG zone. Once a Fair Value Gap is identified, the indicator automatically draws key Fibonacci levels (23.6%, 38.2%, 50%, 61.8%, and optionally 78.6%) within the gap, providing precise entry and exit points for traders. Additionally, it offers Fibonacci extensions (127.2%, 161.8%, and 261.8%) that project potential price targets beyond the FVG boundaries, helping traders plan their profit-taking strategies more effectively.
The indicator includes comprehensive customization options, allowing users to control the appearance of FVG zones, Fibonacci levels, and extension lines with different colors and styles. It features intelligent zone management with configurable maximum counts and extension lengths, automatic validity checking that grays out filled gaps, and multiple alert conditions for when price enters FVG zones or touches Fibonacci levels. The tool is designed for both swing and intraday traders who want to combine the powerful concepts of Fair Value Gaps with precise Fibonacci-based entry and exit strategies.
icreature RSI Divergence + OB/OSThis script simply showing all divergences and fill in colours when ob or os . Enjoy!
LA - Opening Price based Previous day Range PivotThis "LA - Opening Price based Previous day Range Pivot" indicator is a custom technical analysis tool designed for Trading View charts. It plots support and resistance levels (often referred to as pivots or ranges) based on the current opening price combined with the previous period's trading range. The "previous period" can be daily, weekly, or monthly, making it a multi-timeframe tool. These levels are projected using Fibonacci-inspired multipliers to create potential breakout or reversal zones.
The core idea is inspired by concepts like the Opening Range Breakout (ORB) strategy or Fibonacci pivots, but it's customized here to use a dynamic range calculation (the maximum of several absolute price differences) rather than a simple high-low range. This makes it more robust for volatile markets. Levels are symmetric above (resistance) and below (support) the opening price, helping traders identify potential entry/exit points, stop-losses, or targets. This will be useful when there is a gap-up/down as in Nifty/Sensex .
Purpose of the Indicator:
To visualize potential support/resistance zones for the current trading session based on the opening price and historical range data. This helps traders anticipate price movements, such as breakouts above resistance or bounces off support
Use Cases:
Intraday Trading: On lower timeframes (e.g., 5-min or 15-min charts), it shows daily levels for short-term trades.
Swing Trading: On higher timeframes (e.g., hourly or daily), it displays weekly/monthly levels for longer holds.
Range Identification: The filled bands highlight "zones" where price might consolidate or reverse.
Conditional Display: Levels only appear on appropriate timeframes (e.g., daily levels on intraday charts <60min), preventing clutter.
Theoretical Basis: It builds on pivot point theory, where the opening price acts as a central pivot. Multipliers (e.g., 0.618 for Fibonacci golden ratio) project levels, assuming price often respects these ratios due to market psychology.
How Calculations Work
Let's dive into the math with examples. Assume a stock with:
Current daily open (cdo) = $100
Previous daily high (pdh) = $105, low (pdl) = $95, close (pdc) = $102, close 2 days ago (pdc2) = $98
Step 1: Dynamic Range Calculation (var_d2):
This is the max of:
|pdh - pdc2| = |105 - 98| = 7
|pdl - pdc2| = |95 - 98| = 3
|pdh - pdl| = |105 - 95| = 10 (previous day range)
|pdh - cdo| = |105 - 100| = 5
|pdl - cdo| = |95 - 100| = 5
|pdc - cdo| = |102 - 100| = 2
|pdc2 - cdo| = |98 - 100| = 2
Max = 10 (so range = 10). This ensures the range accounts for gaps and extended moves, not just high-low.
Step 2: Level Projections:
Resistance (above open): Open + (Range * Multiplier)
dre6 = 100 + (10 * 1.5) = 115
dre5 = 100 + (10 * 1.27) ≈ 112.7
... down to dre0 = 100 + (10 * 0.1) = 101
dre50 = 100 + (10 * 0.5) = 105 (midpoint)
Support (below open): Open - (Range * Multiplier)
dsu0 = 100 - (10 * 0.1) = 99
... up to dsu6 = 100 - (10 * 1.5) = 85
Without Indicator
With Indicator
Pros and Cons
Pros:
Multi-Timeframe Flexibility: Seamlessly integrates daily, weekly, and monthly levels, useful for aligning short-term trades with longer trends (e.g., intraday breakout confirmed by weekly support).
Dynamic Range Calculation: Unlike standard pivots (just (H+L+C)/3), it uses max of multiple diffs, capturing gaps/volatility better—great for stocks with overnight moves.
Customizable via Inputs: Users can toggle levels, adjust multipliers, or change timeframes without editing code. Inline inputs keep the UI clean.
Visual Aids: Filled bands make zones obvious; conditional colors highlight "tight" vs. "wide" ranges (e.g., for volatility assessment).
Fibonacci Integration: Levels based on proven ratios, appealing to technical traders. Symmetric supports/resistances simplify strategy building (e.g., buy at support, sell at resistance).
No Repainting: Uses historical data with lookahead, so levels are fixed once calculated—reliable for back-testing.
Cons:
Chart Clutter: With all toggles on, 50+ plots/fills can overwhelm the chart, especially on mobile or small screens. Requires manual disabling.
Complexity for Beginners: Many inputs and calculations; without understanding fib ratios or range logic, it might confuse new users.
Performance Overhead: On low timeframes (e.g., 1-min), fetching higher TF data multiple times could lag, especially with many symbols or back-tests.
Assumes Volatility Persistence: Relies on previous range projecting future moves; in low-vol markets (e.g., sideways trends), levels may be irrelevant or too wide/narrow.
No Alerts or Signals: Purely visual; no built-in buy/sell alerts or crossover conditions—users must add separately.
Hardcoded Styles/Colors: Limited customization without code edits (e.g., can't change line styles via inputs).
Also, not optimized for non-stock assets (e.g., forex with 24/7 trading).
In summary, this is a versatile pivot tool for range-based trading based on Opening price, excelling in volatile markets but requiring some setup. If you're using it, start with defaults on a daily chart and toggle off unnecessary levels.
Order Block TraderThe Order Block (HTF) indicator automatically detects and plots higher timeframe order blocks directly onto your chart. Order blocks represent zones of institutional buying or selling pressure that often act as powerful support or resistance levels when revisited. This tool is designed for traders who want to align their lower timeframe entries with higher timeframe structure, helping to filter noise and focus on the most meaningful price levels.
What This Indicator Does
Scans a higher timeframe of your choice to identify potential bullish and bearish order blocks.
Draws the blocks on your current chart, extending them forward in time as reference zones.
Highlights trade signals when price returns to and reacts at these order blocks.
Optionally triggers alerts so that you never miss a potential opportunity.
How It Can Be Used Successfully
Bullish Setup: A bullish order block may serve as a demand zone. When price revisits it, look for bullish confirmation such as a bounce from the block low and a close back above it. This can be used as a long entry point, with stops placed just below the block.
Bearish Setup: A bearish order block may serve as a supply zone. When price revisits it, watch for rejection at the block high followed by a close back below it. This can be used as a short entry point, with stops placed just above the block.
Multi-Timeframe Trading: Use order blocks from larger timeframes (e.g., 4H or Daily) as key zones, then drill down to shorter timeframes (e.g., 5m, 15m) to refine entries.
Confluence with Other Tools: Combine order block signals with your existing strategy—trend indicators, Fibonacci levels, moving averages, or candlestick patterns—for stronger confirmation and improved win probability.
Trade Management: Treat order blocks as zones rather than single price levels. Position sizing, stop placement, and risk-to-reward management remain essential for long-term success.
This indicator is not a standalone trading system but a framework for identifying high-probability supply and demand zones. Traders who apply it consistently—alongside proper risk management and confirmation methods—can improve their ability to catch trend continuations and reversals at structurally important levels.
Cheap/Expensive Zone Highlighter V.2 Publicindicator Cheap/Expensive Zone Highlighter Ver2
Uptrend = Based on price> EMA200 (O+H+L+C)/4
Cheap zone = RSI<45
Dowtrend = Based on price< EMA200 (O+H+L+C)/4
Expensive Zone= RSI>55
SCTI - D14SCTI - D14 Comprehensive Technical Analysis Suite
English Description
SCTI D14 is an advanced multi-component technical analysis indicator designed for professional traders and analysts. This comprehensive suite combines multiple analytical tools into a single, powerful indicator that provides deep market insights across various timeframes and methodologies.
Core Components:
1. EMA System (Exponential Moving Averages)
13 customizable EMA lines with periods ranging from 8 to 2584
Fibonacci-based periods (8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584)
Color-coded visualization for easy trend identification
Individual toggle controls for each EMA line
2. TFMA (Multi-Timeframe Moving Averages)
Cross-timeframe analysis with 3 independent EMA calculations
Real-time labels showing trend direction and price relationships
Customizable timeframes for each moving average
Percentage deviation display from current price
3. PMA (Precision Moving Average Cloud)
7-layer moving average system with customizable periods
Fill areas between moving averages for trend visualization
Support and resistance zone identification
Dynamic color-coded trend clouds
4. VWAP (Volume Weighted Average Price)
Multiple anchor points (Session, Week, Month, Quarter, Year, Earnings, Dividends, Splits)
Standard deviation bands for volatility analysis
Automatic session detection and anchoring
Statistical price level identification
5. Advanced Divergence Detector
12 technical indicators for divergence analysis (MACD, RSI, Stochastic, CCI, Williams %R, Bias, Momentum, OBV, VW-MACD, CMF, MFI, External)
Regular and hidden divergences detection
Bullish and bearish signals with visual confirmation
Customizable sensitivity and filtering options
Real-time alerts for divergence formations
6. Volume Profile & Node Analysis
Comprehensive volume distribution analysis
Point of Control (POC) identification
Value Area High/Low (VAH/VAL) calculations
Volume peaks and troughs detection
Support and resistance levels based on volume
7. Smart Money Concepts
Market structure analysis with Break of Structure (BOS) and Change of Character (CHoCH)
Internal and swing structure detection
Equal highs and lows identification
Fair Value Gaps (FVG) detection and visualization
Liquidity zones and institutional flow analysis
8. Trading Sessions
9 major trading sessions (Asia, Sydney, Tokyo, Shanghai, Hong Kong, Europe, London, New York, NYSE)
Real-time session status and countdown timers
Session volume and performance tracking
Customizable session boxes and labels
Statistical session analysis table
Key Features:
Modular Design: Enable/disable any component independently
Real-time Analysis: Live updates with market data
Multi-timeframe Support: Works across all chart timeframes
Customizable Alerts: Set alerts for any detected pattern or signal
Professional Visualization: Clean, organized display with customizable colors
Performance Optimized: Efficient code for smooth chart performance
Use Cases:
Trend Analysis: Identify market direction using multiple EMA systems
Entry/Exit Points: Use divergences and structure breaks for timing
Risk Management: Utilize volume profiles and session analysis for better positioning
Multi-timeframe Analysis: Confirm signals across different timeframes
Institutional Analysis: Track smart money flows and market structure
Perfect For:
Day traders seeking comprehensive market analysis
Swing traders needing multi-timeframe confirmation
Professional analysts requiring detailed market structure insights
Algorithmic traders looking for systematic signal generation
---
中文描述
SCTI - D14是一个先进的多组件技术分析指标，专为专业交易者和分析师设计。这个综合套件将多种分析工具整合到一个强大的指标中，在各种时间框架和方法论中提供深度市场洞察。
核心组件：
1. EMA系统（指数移动平均线）
13条可定制EMA线，周期从8到2584
基于斐波那契的周期（8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584）
颜色编码可视化，便于趋势识别
每条EMA线的独立切换控制
2. TFMA（多时间框架移动平均线）
跨时间框架分析，包含3个独立的EMA计算
实时标签显示趋势方向和价格关系
每个移动平均线的可定制时间框架
显示与当前价格的百分比偏差
3. PMA（精密移动平均云）
7层移动平均系统，周期可定制
移动平均线间填充区域用于趋势可视化
支撑阻力区域识别
动态颜色编码趋势云
4. VWAP（成交量加权平均价格）
多个锚点（交易时段、周、月、季、年、财报、分红、拆股）
标准差带用于波动性分析
自动时段检测和锚定
统计价格水平识别
5. 高级背离检测器
12个技术指标用于背离分析（MACD、RSI、随机指标、CCI、威廉姆斯%R、Bias、动量、OBV、VW-MACD、CMF、MFI、外部指标）
常规和隐藏背离检测
看涨看跌信号配视觉确认
可定制敏感度和过滤选项
背离形成的实时警报
6. 成交量分布与节点分析
全面的成交量分布分析
控制点（POC）识别
价值区域高/低点（VAH/VAL）计算
成交量峰值和低谷检测
基于成交量的支撑阻力水平
7. 聪明钱概念
市场结构分析，包括结构突破（BOS）和结构转变（CHoCH）
内部和摆动结构检测
等高等低识别
公允价值缺口（FVG）检测和可视化
流动性区域和机构资金流分析
8. 交易时区
9个主要交易时段（亚洲、悉尼、东京、上海、香港、欧洲、伦敦、纽约、纽交所）
实时时段状态和倒计时器
时段成交量和表现跟踪
可定制时段框和标签
统计时段分析表格
主要特性：
模块化设计：可独立启用/禁用任何组件
实时分析：随市场数据实时更新
多时间框架支持：适用于所有图表时间框架
可定制警报：为任何检测到的模式或信号设置警报
专业可视化：清洁、有序的显示界面，颜色可定制
性能优化：高效代码确保图表流畅运行
使用场景：
趋势分析：使用多重EMA系统识别市场方向
入场/出场点：利用背离和结构突破进行时机选择
风险管理：利用成交量分布和时段分析进行更好定位
多时间框架分析：在不同时间框架间确认信号
机构分析：跟踪聪明钱流向和市场结构
适用于：
寻求全面市场分析的日内交易者
需要多时间框架确认的摆动交易者
需要详细市场结构洞察的专业分析师
寻求系统化信号生成的算法交易者
Swing High/Low MarkerThis indicator allows you to find the swing highs and lows of the chart and offsets it by the ATR and a custom factor to give you concrete breakout and stop loss prices.
FVG (Fair Value Gaps)The FVG (Fair Value Gaps) indicator is a sophisticated technical analysis tool designed to identify and display fair value gaps on trading charts across multiple timeframes. Fair value gaps represent price inefficiencies that occur when there's a complete separation between consecutive candles, creating an unfilled price zone. The indicator detects these gaps by analyzing three consecutive candles: it identifies bullish FVGs when a green middle candle creates a gap where the high of the left candle is below the low of the right candle, and bearish FVGs when a red middle candle creates a gap where the low of the left candle is above the high of the right candle.
The indicator offers comprehensive customization options and intelligent filtering capabilities. Users can select any higher timeframe for FVG detection while viewing on lower timeframes, choose to display only bullish or bearish gaps, and optionally filter for large candles only to focus on more significant market inefficiencies. The system includes automatic management features such as limiting the maximum number of displayed FVGs to prevent chart clutter, customizable extension lengths for forward projection, and a validation system that continuously monitors whether gaps remain unfilled or have been invalidated by subsequent price action.
Visually, the indicator represents FVGs as colored rectangular boxes with dashed border lines, using green for bullish gaps and red for bearish gaps with full transparency control. When FVGs become invalid (filled by price), they automatically change to gray coloring to indicate their status. The indicator includes real-time alert functionality that triggers when price enters or touches FVG zones, making it valuable for both manual trading decisions and automated trading strategies. Additionally, it features a built-in Telegram channel reference for community support and educational resources.
ERL & IRL (Swing Levels) Sunnat//@version=5
indicator("ERL & IRL (Swing Levels)", overlay=true)
// Inputs
left_bars = input.int(5, "Left bars (swing strength)", minval=1)
right_bars = input.int(5, "Right bars (swing strength)", minval=1)
line_len = input.int(10, "Line length (bars)", minval=1) // short line
// Detect swing high (ERL) and swing low (IRL)
swingHigh = ta.pivothigh(high, left_bars, right_bars)
swingLow = ta.pivotlow(low, left_bars, right_bars)
// Draw ERL when swing high is found
if not na(swingHigh)
line.new(bar_index - right_bars, swingHigh,
bar_index - right_bars + line_len, swingHigh,
xloc=xloc.bar_index, extend=extend.none,
color=color.aqua, width=2)
label.new(bar_index - right_bars + line_len, swingHigh, "ERL",
xloc=xloc.bar_index, yloc=yloc.price,
color=color.new(color.aqua, 0), textcolor=color.black)
// Draw IRL when swing low is found
if not na(swingLow)
line.new(bar_index - right_bars, swingLow,
bar_index - right_bars + line_len, swingLow,
xloc=xloc.bar_index, extend=extend.none,
color=color.orange, width=2)
label.new(bar_index - right_bars + line_len, swingLow, "IRL",
xloc=xloc.bar_index, yloc=yloc.price,
color=color.new(color.orange, 0), textcolor=color.black)
Volume Orderbook (Expo) — safe-indexed基于 @Zeiierman 的Volume Orderbook(Expo) 修复了以下bug
In 'array.get()' function. Index 3 is out of bounds, array size is 3.
at #main():75
修复思路：
提供一个索引钳制函数 clampIndex(idx, last)，把任何索引限制在 区间内。
所有 array.get() 前都用该函数钳制索引（包括对 levels / volumes 的两端访问，以及 +1 时的上界保护）。
网格线、方框上下边界使用的 levels.get(...) 也统一钳制，避免负值或越界。
ATR Trailing SL FibonacciATR Trailing SL Fibonacci Indicator
This indicator combines ZigZag pattern detection with Fibonacci analysis to identify potential support and resistance levels for setting trailing stop losses.
Core Components:
ZigZag Pattern Detection
Uses imported ZigZag library to identify significant price swings
Configurable parameters:
depth: Minimum price movement threshold
deviation: Minimum deviation between swing points
backstep: Number of bars required for reversal confirmation
Fibonacci Analysis
Two display modes:
Retracements: Horizontal Fibonacci levels between ZigZag points
Timezone: Vertical Fibonacci time projections
Customizable Fibonacci levels with individual color settings
Customizable Fibonacci Levels:
Fib 0 (0%) - White
Fib A (23.6%) - Blue
Fib B (38.2%) - Green
Fib C (50%) - Gray (Default: ON)
Fib D (61.8%) - Orange
Fib E (78.6%) - Red
Fib F (100%) - White (Default: ON)
Display Features:
Visual Elements:
ZigZag line connecting swing points (toggleable)
Fibonacci level lines with colored labels
Price level labels at each Fibonacci line
Background color indicating trend direction
Customization Options:
Adjustable label sizes for Fibonacci levels and price labels
Timeframe selection for analysis
Source price selection (High/Low)
Technical Implementation:
Dynamic Updates: Automatically redraws Fibonacci levels when new ZigZag points are detected
Memory Management: Cleans up previous lines and labels to maintain chart cleanliness
Multi-timeframe Analysis: Uses request.security() for higher timeframe analysis
Trading Applications:
Stop Loss Placement: Use Fibonacci levels as dynamic trailing stop levels
Support/Resistance Identification: Key Fibonacci levels act as potential reversal zones
Trend Analysis: ZigZag direction helps identify overall market structure
Risk Management: ATR-based approach to setting stop losses relative to volatility
Usage Tips:
The 50% and 100% levels are enabled by default as they represent key psychological levels
Combine with other indicators for confirmation of Fibonacci level reactions
Use the background color as a quick visual reference for trend direction
Adjust the ZigZag parameters based on market volatility and timeframe
This indicator is particularly useful for traders who employ Fibonacci-based trading strategies and want a systematic approach to setting trailing stop losses based on market structure and key retracement levels.
Intraday Rising & Reversal ScannerPine Script Description: Intraday Rising & Reversal ScannerThis Pine Script is a TradingView indicator designed to identify stocks with intraday (1-hour timeframe) potential for bullish (rising) or bearish (reversal) movements. It scans for stocks based on user-defined technical criteria, including price change, relative volume, RSI, EMA, ATR, and VWAP. The script plots signals on the chart, displays a summary table, and triggers alerts when conditions are met.FeaturesBullish Signal (Rising Stocks):1H Price Change: > 1% (configurable, e.g., >2% for volatile markets).
Relative Volume: > 2.0 (volume is at least twice the 20-period average).
RSI (14): Between 50 and 70 (strong but not overbought momentum).
Price vs EMA 13: Price above the 13-period EMA (confirms short-term uptrend).
ATR (14): Current ATR above its 20-period average (indicates volatility).
VWAP: Price above VWAP (optional, shown on chart for manual confirmation).
Bearish Signal (Reversal Stocks):1H Price Change: < -1% (configurable, e.g., <-2% for stronger reversals).
Relative Volume: > 2.0 (high volume confirms selling pressure).
RSI (14): > 70 (overbought, increasing reversal likelihood).
Price vs EMA 13: Price below the 13-period EMA (confirms short-term downtrend).
ATR (14): Current ATR above its 20-period average (indicates volatility).
VWAP: Price below VWAP (optional, shown on chart for manual confirmation).
Visualization:Bullish Signal: Green triangle below the bar.
Bearish Signal: Red triangle above the bar.
VWAP: Plotted as a blue line for manual verification.
Table: Displays real-time metrics (Change %, Relative Volume, RSI, Price vs EMA, ATR, VWAP) in the top-right corner, color-coded (green for bullish, red for bearish).
Alerts:Separate alerts for bullish ("Intraday Bullish Signal") and bearish ("Intraday Bearish Signal") conditions.
Customizable alert messages include parameter values for easy tracking.
How It WorksThe script runs on the 1-hour (1H) timeframe, ensuring all calculations are based on hourly data.
Indicators are computed:Change %: Percentage price change over the last hour.
Relative Volume: Current volume divided by the 20-period SMA of volume.
RSI: 14-period Relative Strength Index.
EMA 13: 13-period Exponential Moving Average.
ATR: 14-period Average True Range, compared to its 20-period SMA.
VWAP: Volume Weighted Average Price, plotted for visual confirmation.
Signals are generated when all conditions for either bullish or bearish criteria are met.
A table summarizes key metrics, and alerts can be set up for real-time notifications.
Usage InstructionsApply the Script:Open TradingView’s Pine Editor.
Copy and paste the script.
Click "Add to Chart" and set the chart to the 1-hour (1H) timeframe.
Set Up Alerts:Right-click on the chart > "Add Alert".
Select "Intraday Bullish Signal" or "Intraday Bearish Signal" as the condition.
Configure notifications (e.g., SMS, email, or TradingView alerts).
Manual VWAP Check:VWAP is plotted as a blue line. Verify that the price is above VWAP for bullish signals or below for bearish signals using the table or chart.
To make VWAP a mandatory filter, uncomment the VWAP conditions in the bull_signal and bear_signal definitions.
Cheap/Expensive Zone Highlighter V.2 indicator Cheap/Expensive Zone Highlighter Ver2
Uptrend = Based on price> EMA200 (O+H+L+C)/4
Cheap zone = RSI<45
Dowtrend = Based on price< EMA200 (O+H+L+C)/4
Expensive Zone= RSI>55
