Dskyz Options Flow Flux (OFF) - FuturesDskyz Options Flow Flux (OFF) - Futures
*This is a repost due to moderator intervention on use of ™ in my scripts. I'm in the process of getting this rectified. This was originally posted around mid-night CDT.
🧠 The Dskyz Options Flow Flux (OFF) - Futures indicator is a game changer for futures traders looking to tap into institutional activity with limited resources. Designed for TradingView this tool simulates options flow data (call/put volume and open interest) for futures contracts like MNQ MES NQ and ES giving u actionable insights through volume spike detection volatility adjustments and stunning visuals like aurora flux bands and round number levels. Whether u’re a beginner learning the ropes or a pro hunting for an edge this indicator delivers real time market sentiment and key price levels to boost ur trading game
Key Features
⚡ Simulated Options Flow: Breaks down call/put volume and open interest using market momentum and volatility
📈 Spike Detection: Spots big moves in volume and open interest with customizable thresholds
🧠 Volatility Filter: Adapts to market conditions using ATR for smarter spike detection
✨ Aurora Flux Bands: Glows with market sentiment showing u bullish or bearish vibes at a glance
🎯 Round Number Levels: Marks key psychological levels where big players might step in
📊 Interactive Dashboard: Real time metrics like sentiment score and volatility factor right on ur chart
🚨 Alerts: Get notified of bullish or bearish spikes so u never miss a move
How It Works
🧠 This indicator is built to make complex options flow analysis simple even with the constraints of Pine Script. Here’s the step by step:
Simulated Volume Data (Dynamic Split):
Pulls daily volume for ur chosen futures contract (MNQ1! MES1! NQ1! ES1!)
Splits it into call and put volume based on momentum (ta.mom) and volatility (ATR vs its 20 period average)
Estimates open interest (OI) for calls and puts (1.15x for calls 1.1x for puts)
Formula: callRatio = 0.5 + (momentum / close) * 10 + (volatility - 1) * 0.1 capped between 0.3 and 0.7
Why It Matters: Mimics how big players might split their trades giving u a peek into institutional sentiment
Spike Detection:
Compares current volume/OI to short term (lookbackShort) and long term (lookbackLong) averages
Flags spikes when volume/OI exceeds the average by ur set threshold (spikeThreshold for regular highConfidenceThreshold for strong)
Adjusts for volatility so u’re not fooled by choppy markets
Output: optionsSignal (2 for strong bullish -2 for strong bearish 1 for bullish -1 for bearish 0 for neutral)
Why It Matters: Pinpoints where big money might be stepping in
Volatility Filter:
Uses ATR (10 periods) and its 20 period average to calculate a volatility factor (volFactor = ATR / avgAtr)
Scales spike thresholds based on market conditions (volAdjustedThreshold = spikeThreshold * max(1 volFactor * volFilter))
Why It Matters: Keeps ur signals reliable whether the market is calm or wild
Sentiment Score:
Calculates a call/put ratio (callVolume / putVolume) and adjusts for volatility
Converts it to a 0 to 100 score (higher = bullish lower = bearish)
Formula: sentimentScore = min(max((volAdjustedSentiment - 1) * 50 0) 100)
Why It Matters: Gives u a quick read on market bias
Round Number Detection:
Finds the nearest round number (e.g. 100 for MNQ1! 50 for MES1!)
Checks for volume spikes (volume > 3 period SMA * spikeThreshold) and if price is close (within ATR * atrMultiplier)
Updates the top activity level every 15 minutes when significant activity is detected
Why It Matters: Highlights psychological levels where price often reacts
Visuals and Dashboard:
Combines aurora flux bands glow effects round number lines and a dashboard to make insights pop (see Visual Elements below)
Plots triangles for call/put spikes (green/red for strong lime/orange for regular)
Sets up alerts for key market moves
Why It Matters: Makes complex data easy to read at a glance
Inputs and Customization
⚙️ Beginners can tweak these settings to match their trading style while pros can dig deeper for precision:
Futures Symbol (symbol): Pick ur contract (MNQ1! MES1! NQ1! ES1!). Default: MNQ1!
Short Lookback (lookbackShort): Days for short term averages. Smaller = more sensitive. Range: 1+. Default: 5
Long Lookback (lookbackLong): Days for long term averages. Range: 5+. Default: 10
Spike Threshold (spikeThreshold): How big a spike needs to be (e.g. 1.1 = 10% above average). Range: 1.0+. Default: 1.1
High Confidence Threshold (highConfidenceThreshold): For strong spikes (e.g. 3.0 = 3x average). Range: 2.0+. Default: 3.0
Volatility Filter (volFilter): Adjusts for market volatility (e.g. 1.2 = 20% stricter in volatile markets). Range: 1.0+. Default: 1.2
Aurora Flux Transparency (glowOpacity): Controls band transparency (0 = solid 100 = invisible). Range: 0 to 100. Default: 65
Show Show OFF Dashboard (showDashboard): Toggles the dashboard with key metrics. Default: true
Show Nearest Round Number (showRoundNumbers): Displays round number levels. Default: true
ATR Multiplier for Proximity (atrMultiplier): How close price needs to be to a round number (e.g. 1.5 = within 1.5x ATR). Range: 0.5+. Default: 1.5
Functions and Logic
🧠 Here’s the techy stuff pros will love:
Simulated Volume Data : Splits daily volume into call/put volume and OI using momentum and volatility
Volatility Filter: Scales thresholds with volFactor = atr / avgAtr for adaptive detection
Spike Detection: Flags spikes and assigns optionsSignal (2, -2, 1, -1, 0) for sentiment
Sentiment Score: Converts call/put ratio into a 0-100 score for quick bias reads
Round Number Detection: Identifies key levels and significant activity for trading zones
Dashboard Display: Updates real time metrics like sentiment score and volatility factor
Visual Elements
✨ These visuals make data come alive:
Gradient Background: Green (bullish) red (bearish) or yellow (neutral/choppy) at 95% transparency to show trend
Aurora Flux Bands: Stepped bands (linewidth 3) around a 14 period EMA ± ATR * 1.8. Colors shift with sentiment (green red lime orange gray) with glow effects at 85% transparency
Round Number Visualization: Stepped lines (linewidth 2) at key levels (solid if active dashed if not) with labels (black background white text size.normal)
Visual Signals: Triangles above/below bars for spikes (size.small for strong size.tiny for regular)
Dashboard: Bottom left table (2 columns 10 rows) with a black background (29% transparency) gray border and metrics:
⚡ Round Number Activity: “Detected” or “None”
📈 Trend: “Bullish” “Bearish” or “Neutral” (colored green/red/gray)
🧠 ATR: Current 10 period ATR
📊 ATR Avg: 20 period SMA of ATR
📉 Volume Spike: “YES” (green) or “NO” (red)
📋 Call/Put Ratio: Current ratio
✨ Flux Signal: “Strong Bullish” “Strong Bearish” “Bullish” “Bearish” or “Neutral” (colored green/red/gray)
⚙️ Volatility Factor: Current volFactor
📈 Sentiment Score: 0-100 score
Usage and Strategy Recommendations
🎯 For Beginners: Use high confidence spikes (green/red triangles) for easy entries. Check the dashboard for a quick market read (sentiment score above 60 = bullish below 40 = bearish). Watch round number levels for support/resistance
💡 For Pros: Combine flux signals with round number activity for high probability setups. Adjust lookbackShort/lookbackLong for trending vs choppy markets. Use volFactor for position sizing (higher = smaller positions)
Search in scripts for "smart"
SMT SwiftEdge PowerhouseSMT SwiftEdge Powerhouse: Precision Trading with Divergence, Liquidity Grabs, and OTE Zones
The SMT SwiftEdge Powerhouse is a powerful trading tool designed to help traders identify high-probability entry points during the most active market sessions—London and New York. By combining Smart Money Technique (SMT) Divergence, Liquidity Grabs, and Optimal Trade Entry (OTE) Zones, this script provides a unique and cohesive strategy for capturing market reversals with precision. Whether you're a scalper or a swing trader, this indicator offers clear visual signals to enhance your trading decisions on any timeframe.
What Does This Script Do?
This script integrates three key concepts to identify potential trading opportunities:
SMT Divergence:
SMT Divergence compares the price action of two correlated assets (e.g., Nasdaq and S&P 500 futures) to detect hidden market reversals. When one asset makes a higher high while the other makes a lower high (bearish divergence), or one makes a lower low while the other makes a higher low (bullish divergence), it signals a potential reversal. This technique leverages institutional "smart money" behavior to anticipate market shifts.
Liquidity Grabs:
Liquidity Grabs occur when price breaks above recent highs or below recent lows on higher timeframes (5m and 15m), often triggering stop-loss orders from retail traders. These breakouts are identified using pivot points and confirm institutional activity, setting the stage for a reversal. The script focuses on liquidity grabs during the London and New York sessions for maximum market activity.
Optimal Trade Entry (OTE) Zones:
OTE Zones are Fibonacci-based retracement areas (e.g., 61.8%) calculated after a liquidity grab. These zones highlight where price is likely to retrace before continuing in the direction of the reversal, offering a high-probability entry point. The script adjusts the width of these zones using the Average True Range (ATR) to adapt to market volatility.
By combining these components, the script identifies when institutional activity (liquidity grabs) aligns with market reversals (SMT divergence) and pinpoints precise entry points (OTE zones) during high-liquidity sessions.
Why Combine These Components?
The integration of SMT Divergence, Liquidity Grabs, and OTE Zones creates a robust trading system for several reasons:
Synergy of Institutional Signals: SMT Divergence and Liquidity Grabs both reflect "smart money" behavior—divergence shows hidden reversals, while liquidity grabs confirm institutional intent to trap retail traders. Together, they provide a strong foundation for identifying high-probability setups.
Session-Based Precision: Focusing on the London and New York sessions ensures signals occur during periods of high volatility and liquidity, increasing their reliability.
Precision Entries with OTE: After confirming a setup with divergence and liquidity grabs, OTE zones provide a clear entry area, reducing guesswork and improving trade accuracy.
Adaptability: The script works on any timeframe, with adjustable settings for signal sensitivity, session times, and Fibonacci levels, making it versatile for different trading styles.
This combination makes the script unique by aligning institutional insights with actionable entry points, tailored to the most active market hours.
How to Use the Script
Setup:
Add the script to your chart (works on any timeframe, e.g., 1m, 5m, 15m).
Configure the settings in the indicator's inputs:
Session Settings: Adjust the start/end times for London and New York sessions (default: London 8-11 UTC, New York 13-16 UTC). You can disable session restrictions if desired.
Asset Settings: Set the primary and secondary assets for SMT Divergence (default: NQ1! and ES1!). Ensure the assets are correlated.
Signal Settings: Adjust the lookback period, ATR period, and signal sensitivity (Low/Medium/High) to control the frequency of signals.
OTE Settings: Choose the Fibonacci level for OTE zones (default: 61.8%).
Visual Settings: Enable/disable OTE zones, SMT labels, and debug labels for troubleshooting.
Interpreting Signals:
Blue Circles: Indicate a liquidity grab (price breaking a 5m or 15m pivot high/low), marking the start of a potential setup.
Blue OTE Zones: Appear after a liquidity grab, showing the retracement area (e.g., 61.8% Fibonacci level) where price is likely to enter for a reversal trade. The label "OTE Trigger 5m/15m" confirms the direction (Short/Long) and session.
Green/Red Entry Boxes: Mark precise entry points when price enters the OTE zone and confirms the SMT Divergence. Green boxes indicate a long entry, red boxes a short entry.
Trading Example:
On a 1m chart, a blue circle appears when price breaks a 5m pivot high during the London session.
A blue OTE zone forms, showing a retracement area (e.g., 61.8% Fibonacci level) with the label "OTE Trigger 5m/15m (Short, London)".
Price retraces into the OTE zone, and a red "Short Entry" box appears, confirming a bearish SMT Divergence.
Enter a short trade at the red box, with a stop-loss above the OTE zone and a take-profit at the next support level.
Originality and Utility
The SMT SwiftEdge Powerhouse stands out by merging SMT Divergence, Liquidity Grabs, and OTE Zones into a single, session-focused indicator. Unlike traditional indicators that focus on one aspect of price action, this script combines institutional reversal signals with precise entry zones, tailored to the most active market hours. Its adaptability across timeframes, customizable settings, and clear visual cues make it a versatile tool for traders seeking to capitalize on smart money movements with confidence.
Tips for Best Results
Use on correlated assets like NQ1! (Nasdaq futures) and ES1! (S&P 500 futures) for accurate SMT Divergence.
Test on lower timeframes (1m, 5m) for scalping or higher timeframes (15m, 1H) for swing trading.
Adjust the "Signal Sensitivity" to "High" for more signals or "Low" for fewer, high-quality setups.
Enable "Show Debug Labels" if signals are not appearing as expected, to troubleshoot pivot points and liquidity grabs.
Daily ATR BandsATR Finder – Volatility Scanner for Smarter Trade Setups
The ATR Finder is a precision tool designed to help traders quickly identify high-volatility assets using the Average True Range (ATR) – a key metric in assessing market momentum and potential breakout zones. By automatically scanning and highlighting tickers or candles with elevated ATR values relative to their recent historical range, this indicator helps you filter for setups that are more likely to experience significant price moves.
Whether you're a day trader seeking intraday momentum or a swing trader looking for setups with strong follow-through potential, the ATR Finder cuts through the noise and visually signals which assets are "on the move." It can be paired with other indicators or price action tools to create a high-conviction trading strategy focused on volatility expansion.
Key Features:
Dynamic ATR Calculation over a user-defined period
Visual Alerts or Color-Coding for above-threshold volatility spikes
Supports Multiple Timeframes for both short- and long-term volatility analysis
Great for spotting breakout opportunities, gap continuations, or trend reversals
Use the ATR Finder to stay ahead of price action and build a watchlist that moves with purpose. Perfect for scalpers, breakout traders, and anyone who respects the power of volatility.
Chandelier Exit with ZLSMA SwiftEdgeChandelier Exit with ZLSMA
Overview
The "Chandelier Exit with ZLSMA" indicator is a powerful trading tool designed to identify trend reversals and high-probability entry points in financial markets. By combining the volatility-based Chandelier Exit with the low-lag Zero Lag Least Squares Moving Average (ZLSMA), this indicator provides clear Buy and Sell signals, enhanced with a unique signal strength score to help traders prioritize high-quality opportunities. Visual enhancements, including dynamic color coding, background highlights, and trend arrows, make it intuitive and visually appealing for both novice and experienced traders.
What It Does
This indicator generates Buy and Sell signals when a trend reversal is detected by the Chandelier Exit, but only if the price crosses the ZLSMA for the first time in the direction of the trend. Each signal is accompanied by a percentage score (0-100%) that measures its strength based on price movement and momentum. The indicator overlays directly on the price chart, displaying:
Buy/Sell labels with signal strength (e.g., "Buy (85%)").
A ZLSMA line that changes color (green for bullish, red for bearish) to indicate trend direction.
Background highlights to mark signal candles.
Trend arrows to visually confirm signal points.
How It Works
The indicator combines two complementary components:
Chandelier Exit:
Uses the Average True Range (ATR) to create dynamic trailing stop levels (long_stop and short_stop) that adapt to market volatility.
Signals a Buy when the price crosses above the short stop (indicating a potential uptrend) and a Sell when it crosses below the long stop (indicating a potential downtrend).
Default settings use an ATR period of 1 and a multiplier of 2.0 for high sensitivity to short-term price movements.
Zero Lag LSMA (ZLSMA):
A low-lag moving average based on linear regression, designed to reduce delay compared to traditional moving averages.
Acts as a trend filter: Buy signals are only generated when the price closes above ZLSMA for the first time, and Sell signals when it closes below for the first time.
Default length of 50 balances smoothness with responsiveness.
Signal Strength Score:
Each signal is assigned a score (0-100%) based on:
Distance to ZLSMA (60% weight): How far the price is from ZLSMA, normalized by ATR. Larger distances indicate stronger breakouts.
Candlestick size (40% weight): The size of the signal candle, normalized by ATR. Larger candles suggest stronger momentum.
A high score (e.g., >80%) indicates a robust signal, while a low score (e.g., <50%) suggests caution.
Visual Features:
The ZLSMA line changes color (green for bullish, red for bearish) to reflect the trend.
Signal candles are highlighted with a subtle green (Buy) or red (Sell) background.
Tiny triangular arrows appear below Buy signals and above Sell signals for clear visual confirmation.
Why Combine Chandelier Exit and ZLSMA?
The Chandelier Exit excels at identifying trend reversals through volatility-based stops, but it can generate false signals in choppy markets due to its sensitivity (especially with a short ATR period of 1). The ZLSMA addresses this by acting as a trend filter, ensuring signals are only triggered when the price confirms a trend by crossing the ZLSMA for the first time. This combination reduces noise and focuses on high-probability setups. The signal strength score further enhances decision-making by quantifying the conviction behind each signal, making the indicator feel intuitive and "smart."
How to Use
Setup:
Add the indicator to your chart in TradingView.
Adjust inputs in the settings panel:
ATR Period (default: 1): Controls the sensitivity of Chandelier Exit. Increase for smoother signals.
ATR Multiplier (default: 2.0): Sets the distance of stop levels from price extremes.
ZLSMA Length (default: 50): Adjusts the smoothness of the ZLSMA line. Shorter lengths (e.g., 20-30) are more responsive; longer lengths (e.g., 50-100) are smoother.
Use Close Price for Extremums (default: true): Determines whether Chandelier Exit uses closing prices or high/low prices for calculations.
Interpreting Signals:
Buy Signal: A green "Buy (X%)" label appears below a candle when the price crosses above the Chandelier Exit short stop and closes above ZLSMA for the first time. The percentage indicates signal strength (higher = stronger).
Sell Signal: A red "Sell (X%)" label appears above a candle when the price crosses below the Chandelier Exit long stop and closes below ZLSMA for the first time.
Use the ZLSMA line’s color (green for bullish, red for bearish) to confirm the overall trend.
Prioritize signals with high strength scores (e.g., >70%) for better reliability.
Trading Considerations:
Combine signals with other analysis (e.g., support/resistance, volume) for confirmation.
Test the indicator on a demo account or use TradingView’s Strategy Tester to evaluate performance.
Be cautious with the default ATR period of 1, as it is highly sensitive and may generate frequent signals in volatile markets.
What Makes It Unique
This indicator stands out due to its thoughtful integration of Chandelier Exit and ZLSMA, creating a synergy that balances sensitivity with reliability. The first-cross filter ensures signals are triggered only at the start of potential trends, reducing false positives. The signal strength score adds a layer of intelligence, helping traders assess the quality of each signal without needing external tools. Visual enhancements, such as dynamic ZLSMA coloring, background highlights, and trend arrows, make the indicator user-friendly and visually engaging, appealing to traders seeking a modern, intuitive tool.
Limitations and Notes
The short ATR period (1) makes the indicator highly sensitive, which suits short-term traders but may produce noise in sideways markets. Increase the ATR period for smoother signals.
The signal strength score is a heuristic based on price movement and momentum, not a predictive model. Use it as a guide, not a definitive predictor.
Always backtest the indicator on your preferred market and timeframe to ensure it aligns with your trading strategy.
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + Order Blocks + Fibonacci OTE Levels
A High-Probability Entry Engine for Smart Money Concept Traders
This script combines three powerful Smart Money Concepts (SMC) into a single tool: Liquidity Grabs, Order Block Zones, and Fibonacci OTE Levels, allowing traders to identify institutional entry models with clean, rule-based visual signals.
It’s designed to simplify SMC trading by highlighting confluence zones where price is likely to reverse or continue — with clear visual zones, entry arrows, and take profit projections.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies when price sweeps above/below the highest high or lowest low within a user-defined lookback period and closes back inside.
Plots orange labels on the chart to signal potential liquidity events (LG-H / LG-L).
Plots Order Blocks After Liquidity Grabs
After a liquidity grab, the script looks for displacement candles (strong bullish or bearish moves) and draws highlighted OB zones extending several bars to the right.
These zones represent potential institutional footprints for price reversals.
Draws Fibonacci OTE Levels (Optimal Trade Entry)
Uses recent swing high and low pivots to automatically calculate OTE zones (default: 62% and 75% retracement levels).
Draws these retracement zones for both bullish and bearish setups.
Marks Valid OTE Entry Zones
Buy/Sell zones only trigger when:
A liquidity grab occurs,
Price enters the OTE zone,
And a strong confirming candle is present.
Plots green/red arrows for valid buy/sell OTE entries.
Auto-Draws Take Profit Zones
TP1 = Previous swing high/low
TP2 = Risk-based R-multiplied extension (e.g., 1.5R — customizable)
Alerts
Triggers alerts when valid buy or sell OTE setups are detected.
⚙️ Customization Features:
Toggle each feature: Liquidity Grabs, Order Blocks, Fibonacci OTE levels
Set Fibonacci retracement percentages (e.g., 0.62 / 0.75)
Adjust lookback window for liquidity detection
Customize the take-profit multiplier (R-based)
Full control over visuals: colors, labels, and lines
💡 How to Use:
Use this script to scan for high-confluence trade setups based on Smart Money principles.
Combine with session timing (e.g., New York open), major swing structure, or Kill Zone windows for maximum edge.
Look for arrows inside OB zones or OTE levels following liquidity sweeps for cleaner entries.
🔗 Works Best With:
✅ First FVG — Opening Range Fair Value Gap Detector: Identify early inefficiencies to set the narrative for the day.
✅ Liquidity Levels — Smart Swing Lows: Spot key structural lows that can fuel stop hunts and reversals.
✅ ICT Turtle Soup — Liquidity Reversal: Add a classic reversal pattern to your toolkit to catch fakeouts cleanly.
Together, these tools build a complete Smart Money ecosystem for entry precision, risk management, and price behavior forecasting.
ICT Turtle Soup Ultimate V2📜 ICT Turtle Soup Ultimate V2 — Advanced Liquidity Reversal System
Overview:
The ICT Turtle Soup Ultimate V2 is a next-generation liquidity reversal indicator built on the principles of smart money concepts (SMC) and the classic ICT Turtle Soup setup. It is designed to detect false breakouts (liquidity grabs) at key swing points, enhanced by proprietary logic that filters out low-quality signals using a combination of trend context, kill zone timing, candle wick behavior, and multi-timeframe imbalance zones.
This tool is ideal for intraday traders seeking high-probability entry signals near liquidity pools and imbalance zones — where smart money makes its move.
🔍 What This Script Does
🧠 Liquidity Grab Detection (Turtle Soup Core Logic)
The script scans for recent swing highs/lows using a user-defined lookback.
A signal is generated when price breaks above/below a previous swing level but closes back inside — indicating a liquidity run and likely reversal.
A special Wick Trap Mode enhances this logic by detecting long-wick fakeouts — where the wick grabs stops but the candle body closes opposite the breakout direction.
📉 Trend Filter with ATR Buffer
Optional trend filter uses a simple moving average (SMA) to gauge market direction.
Instead of hard filtering, it applies an ATR-based buffer to allow for entries near the trend line, reducing signal suppression from micro-fluctuations.
🕰️ Kill Zone Session Filtering
Only show signals during institutional trading hours:
London Session
New York AM
Or any custom user-defined session
Helps traders avoid low-volume hours and focus on where stop hunts and price expansions typically occur.
🧱 Multi-Timeframe FVG Confluence (Optional)
Signal validation is strengthened by checking if price is within a higher timeframe Fair Value Gap — commonly used to identify imbalances or inefficiencies.
Filters out setups that lack underlying displacement or order flow justification.
🎨 Visual Feedback
Plots 🔺 bullish and 🔻 bearish markers at signal candles.
Optionally displays:
Swing High/Low Labels (SH / SL)
Reversal distance labels
Background color shading on valid signals
Includes built-in alerts for automated trade notification.
🔑 Unique Benefits
Wick Trap Detection: A proprietary approach to detecting stop hunts via wick behavior, not just candle closes.
ATR-based trend filtering: Avoids unnecessary filtering while still maintaining directional bias.
All-in-one system: No need to stack multiple indicators — swing detection, reversal logic, session filtering, and imbalance confirmation are all integrated.
💡 How to Use
Enable Wick Trap Mode to detect stealthy liquidity grabs with strong wicks.
Use Kill Zone filters to trade only when institutions are active.
Optionally enable FVG confluence to improve confidence in reversal zones.
Watch for Bullish signals near SL levels and Bearish signals near SH levels.
Combine with your own execution strategy or other SMC tools for optimal results.
🔗 Best Used With:
Maximize your edge by combining this script with complementary SMC-based tools:
✅ First FVG — Opening Range Fair Value Gap Detector
✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
✅ Liquidity Levels — Smart Swing Highs and Lows with horizontal line projections
ICT Turtle Soup (Liquidity Reversal)ICT Turtle Soup — Liquidity Reversal Detection
Classic Liquidity Trap Reversal Strategy for Smart Money Traders
This indicator implements the ICT Turtle Soup concept — a classic liquidity-based reversal pattern — which occurs when price runs above or below a recent swing level to grab liquidity, then sharply reverses. This pattern is commonly used in Smart Money Concepts (SMC) and Inner Circle Trader (ICT) strategies to anticipate false breakouts and high-probability reversals.
🔍 What This Script Does:
Identifies Swing Highs & Lows
Detects recent swing highs and lows using a customizable lookback period.
Tracks Liquidity Grabs
A bearish Turtle Soup setup is triggered when price breaks above a recent swing high but closes back below it.
A bullish Turtle Soup setup is triggered when price breaks below a recent swing low but closes back above it.
These conditions often signal liquidity traps, where price sweeps resting orders before reversing.
Plots Signals Directly on the Chart
Turtle Soup setups are marked with 🐢🔻 (bearish) and 🐢🔺 (bullish) labels.
Optional full-text labels can also be displayed for clarity and journaling.
Includes Alert Conditions
Alerts can be enabled to notify you of bullish or bearish Turtle Soup reversals in real-time.
⚙️ Customization Features:
Adjustable swing lookback period
Enable/disable Turtle Soup labels
Set label font size
Choose your preferred bullish/bearish signal colors
💡 How to Use:
Add this script to your chart (ideally on intraday timeframes such as 5m–15m).
Wait for a Turtle Soup signal near a key swing high/low or liquidity zone.
Combine with other confirmation tools (e.g., FVGs, Order Blocks, OTE) for stronger setups.
Use alerts to stay ahead of fast-moving reversals.
🧠 Why It Works:
Turtle Soup setups are rooted in liquidity theory — they exploit the market’s tendency to sweep obvious swing levels before reversing. These moves often trap retail traders and mark the beginning of Smart Money entries.
🔗 Best Used With:
Maximize the edge by combining this with other SMC tools:
✅ First FVG — Opening Range Fair Value Gap Detector
✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
✅ Liquidity Levels — Smart Swing Lows
Together, they create a complete ecosystem for identifying, confirming, and executing liquidity-driven trade setups with precision.
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
Smart Money Concepts Trading Assistant
This script is built for traders who follow ICT (Inner Circle Trader) and Smart Money Concepts. It intelligently combines three critical components of SMC trading: Liquidity Grabs, Order Blocks, and Fibonacci-based Optimal Trade Entry (OTE) zones — giving traders visual cues for potential high-probability reversals and entry points.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies swing highs/lows where price sweeps liquidity, then immediately reverses.
Labels them with orange markers when price takes out previous highs/lows but closes back inside.
Draws Order Blocks
After a liquidity grab, the script looks for strong bullish or bearish candles and automatically highlights the OB zone.
These OB zones are visualized with transparent colored boxes extending several bars forward.
Plots Fibonacci OTE Levels
Uses recent swing high/low pivots to dynamically draw customizable OTE retracement levels (e.g., 62% and 75%) for both long and short setups.
Highlights Optimal Entry Zones
Marks valid OTE-based buy/sell opportunities only when:
Liquidity has been taken,
Price enters the OTE zone,
And a strong confirming candle appears.
Adds visual zones, trade labels, and optional alerts for each qualified entry.
Includes Take Profit Targets
Automatically calculates take-profit levels based on previous structure and risk-reward ratios.
TP1 is the previous swing, and TP2 is an extended R-multiple (customizable by user).
⚙️ Customization Options:
Toggle each feature (Liquidity Grabs, OBs, Fibonacci Levels)
Adjust Fibonacci levels (default: 62% and 75%)
Set lookback period for liquidity checks
Customize the R-multiple for TP2 levels
💡 How to Use:
Enable desired features from the input panel.
Watch for Buy/Sell OTE zones highlighted in green/red.
Confirm with liquidity sweep and OB support for stronger signals.
Use the automatically generated TP levels to manage risk.
🚀 What Makes It Unique:
Unlike other open-source mashups, this script synchronizes multiple SMC concepts into a single tool that:
Waits for high-confidence conditions (not just blind fib or OB detection)
Validates entries using multiple confluences
Visually marks actionable setups
Automates trade management zones
Whether you're trend-trading, scalping, or swing trading ICT-style, this tool offers a streamlined, smart-money-aligned workflow directly on your chart.
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
Smart Money Concepts Trading Assistant
This script is built for traders who follow ICT (Inner Circle Trader) and Smart Money Concepts. It intelligently combines three critical components of SMC trading: Liquidity Grabs, Order Blocks, and Fibonacci-based Optimal Trade Entry (OTE) zones — giving traders visual cues for potential high-probability reversals and entry points.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies swing highs/lows where price sweeps liquidity, then immediately reverses.
Labels them with orange markers when price takes out previous highs/lows but closes back inside.
Draws Order Blocks
After a liquidity grab, the script looks for strong bullish or bearish candles and automatically highlights the OB zone.
These OB zones are visualized with transparent colored boxes extending several bars forward.
Plots Fibonacci OTE Levels
Uses recent swing high/low pivots to dynamically draw customizable OTE retracement levels (e.g., 62% and 75%) for both long and short setups.
Highlights Optimal Entry Zones
Marks valid OTE-based buy/sell opportunities only when:
Liquidity has been taken,
Price enters the OTE zone,
And a strong confirming candle appears.
Adds visual zones, trade labels, and optional alerts for each qualified entry.
Includes Take Profit Targets
Automatically calculates take-profit levels based on previous structure and risk-reward ratios.
TP1 is the previous swing, and TP2 is an extended R-multiple (customizable by user).
⚙️ Customization Options:
Toggle each feature (Liquidity Grabs, OBs, Fibonacci Levels)
Adjust Fibonacci levels (default: 62% and 75%)
Set lookback period for liquidity checks
Customize the R-multiple for TP2 levels
💡 How to Use:
Enable desired features from the input panel.
Watch for Buy/Sell OTE zones highlighted in green/red.
Confirm with liquidity sweep and OB support for stronger signals.
Use the automatically generated TP levels to manage risk.
🚀 What Makes It Unique:
Unlike other open-source mashups, this script synchronizes multiple SMC concepts into a single tool that:
Waits for high-confidence conditions (not just blind fib or OB detection)
Validates entries using multiple confluences
Visually marks actionable setups
Automates trade management zones
Whether you're trend-trading, scalping, or swing trading ICT-style, this tool offers a streamlined, smart-money-aligned workflow directly on your chart.
Change of Character FanChange of Character Fan
Overview
The Change of Character Fan is designed to help traders detect shifts (changes of character) in market direction and sentiment before they become fully visible through traditional candlestick analysis. Instead of relying solely on the shape or close of candlesticks, this indicator offers a direct, real-time look at the internal price action occurring within a single bar. This visibility into intrabar dynamics can potentially allow traders to enter or exit trades earlier, minimize false signals, and reduce their dependence on multiple lower-timeframe charts.
How it Works:
The indicator plots a "fan" consisting of five distinct slope lines within the current bar. Each line represents the internal trend of price movement based on user-defined lower timeframe data intervals.
By default, these intervals are set to 3, 5, 8, 13, and 21 samples from 1-second timeframe data.
Each line only appears when it has collected the minimum required number of intrabar data points.
The fan lines use a progressive opacity scale (lighter to darker), visually highlighting the confidence level or probability of directional continuation within the current bar.
At the open of every new bar, the fan disappears completely and gradually reappears as new data is gathered, ensuring clarity and eliminating outdated signals.
Understanding the Mathematics: Linear Regression Model
This indicator is built around the concept of a linear regression model. Linear regression is a statistical technique used to model and analyze relationships between variables—in this case, time (independent variable) and price (dependent variable).
How Linear Regression Works:
Linear regression fits a straight line (called a "line of best fit") through a set of data points, minimizing the overall distance between each point and the line itself.
Mathematically, this is achieved by minimizing the squared differences (errors) between the observed values (actual prices) and the predicted values (prices on the line).
The linear model used here can be expressed in the form:
y = mx + b
where:
𝑦
y is the predicted price,
𝑥
x represents time (each data sample interval),
𝑚
m is the slope of the line, representing the direction and velocity of the trend,
𝑏
b is the intercept (the theoretical price when x=0).
Why a Linear Model is Beneficial in this Indicator:
Simplicity and Reliability: Linear regression is simple, robust, and widely accepted as a baseline predictive model. It requires minimal computational resources, providing instant updates in real-time trading conditions.
Immediate Directional Feedback: The slope derived from linear regression immediately communicates the directional tendency of recent price action. A positive slope indicates upward pressure, and a negative slope signals downward pressure.
Noise Reduction: Even when price fluctuations are noisy or erratic, linear regression summarizes overall direction clearly, making it easier to detect genuine directional shifts (change of character) rather than random price noise.
Intrabar Analysis: Traditional candlestick analysis relies on fully formed candles, potentially delaying signals. By using linear regression on very short-term (intrabar) data, traders can detect shifts in momentum more quickly, providing an earlier signal than conventional candle patterns alone.
Practical Application:
This indicator helps traders to visually identify:
Early Trend Reversals: Intrabar analysis reveals momentum shifts potentially signaling reversals before they become obvious on conventional candles.
Momentum Continuations: Confidence is gained when all lines in the fan are clearly pointing in the same direction, indicating strong intrabar conviction.
Reduced False Signals: Traditional candlestick signals (e.g., hammer candles) sometimes produce false signals due to intrabar noise. By looking directly into intrabar dynamics, traders gain better context on whether candle patterns reflect genuine directional change or merely noise.
Important Requirements and Recommendations:
Subscription Requirements:
A TradingView subscription that supports sub-minute data (e.g., 1-second or 5-second resolution) is strongly recommended.
If your subscription doesn't include this data granularity, you must use a 1-minute lower timeframe, significantly reducing responsiveness. In this scenario, it's best suited for a 15-minute or higher chart, adjusting intervals to shorter periods.
Live Data Essential:
Real-time market data subscription is essential for the accuracy and effectiveness of this indicator.
Using delayed data reduces responsiveness and weakens the indicator's primary advantage.
Recommended Settings for Different Chart Timeframes:
1-minute chart: Use 1-second lower timeframe intervals (default intervals: 3, 5, 8, 13, 21).
5-minute chart: Adjust to a 5- or 10-second lower timeframe, possibly reducing intervals to shorter periods (e.g., 3, 5, 8, 10, 12).
15-minute or higher charts: Adjust lower timeframe to 1-minute if granular data is unavailable, with reduced interval lengths to maintain responsiveness.
Conclusion:
The Change of Character Fan empowers traders with early insight into directional shifts within each candle, significantly enhancing reaction speed, signal accuracy, and reducing dependency on multiple charts. Built on robust linear regression mathematics, it combines clarity, responsiveness, and ease-of-use in a powerful intrabar analysis tool.
Trade smarter, see sooner, and react faster.
Ultimate Moving Average Crossover Indicator by SAMQUANT📈 Ultimate Moving Average Crossover Indicator | All-in-One MA Strategy
Unlock the power of multiple moving averages in one versatile indicator designed to give you clear, actionable signals in any market condition.
📌 Key Features:
- Supports **all major moving averages**:
- **SMA, EMA, WMA, HMA, RMA, DEMA, TEMA**, and more.
- Each MA is **fully customizable** with different lengths and types for ultimate flexibility.
- **Binary Long/Short signals** based on crossover logic—perfect for alerts, strategies, or discretionary trading.
- **Dynamic background coloring**:
- **Green** for bullish trends
- **Red** for bearish trends
Quickly gauge market direction at a glance.
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🚀 Why Use This Indicator?
✅ Combines the strength of all major MA types
✅ Customizable to fit any trading style—scalping, swing, or trend following
✅ Built-in alerts ready for your next trade
✅ Visually intuitive with built-in signal clarity
✅ Excellent tool for **confluence-based** strategies
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Great trades start with great tools. Clarity, precision, and flexibility—this indicator brings it all to your charts. Trade smarter, not harder.
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> ⚠️ **Disclaimer:**
This script is intended for **educational and informational purposes only**. It does not constitute financial advice. Past performance is not indicative of future results. Always practice sound risk management and test strategies thoroughly before using real capital.
Quarterly Theory ICT 04 [TradingFinder] SSMT 4Quarter Divergence🔵 Introduction
Sequential SMT Divergence is an advanced price-action-based analytical technique rooted in the ICT (Inner Circle Trader) methodology. Its primary objective is to identify early-stage divergences between correlated assets within precise time structures. This tool not only breaks down market structure but also enables traders to detect engineered liquidity traps before the market reacts.
In simple terms, SMT (Smart Money Technique) occurs when two correlated assets—such as indices (ES and NQ), currency pairs (EURUSD and GBPUSD), or commodities (Gold and Silver)—exhibit different reactions at key price levels (swing highs or lows). This lack of alignment is often a sign of smart money manipulation and signals a lack of confirmation in the ongoing trend—hinting at an imminent reversal or at least a pause in momentum.
In its Sequential form, SMT divergences are examined through a more granular temporal lens—between intraday quarters (Q1 through Q4). When SMT appears at the transition from one quarter to another (e.g., Q1 to Q2 or Q3 to Q4), the signal becomes significantly more powerful, often aligning with a critical phase in the Quarterly Theory—a framework that segments market behavior into four distinct phases: Accumulation, Manipulation, Distribution, and Reversal/Continuation.
For instance, a Bullish SMT forms when one asset prints a new low while its correlated counterpart fails to break the corresponding low from the previous quarter. This usually indicates absorption of selling pressure and the beginning of accumulation by smart money. Conversely, a Bearish SMT arises when one asset makes a higher high, but the second asset fails to confirm, signaling distribution or a fake-out before a decline.
However, SMT alone is not enough. To confirm a true Market Structure Break (MSB), the appearance of a Precision Swing Point (PSP) is essential—a specific candlestick formation on a lower timeframe (typically 5 to 15 minutes) that reveals the entry of institutional participants. The combination of SMT and PSP provides a more accurate entry point and better understanding of premium and discount zones.
The Sequential SMT Indicator, introduced in this article, dynamically scans charts for such divergence patterns across multiple sessions. It is applicable to various markets including Forex, crypto, commodities, and indices, and shows particularly strong performance during mid-week sessions (Wednesdays and Thursdays)—when most weekly highs and lows tend to form.
Bullish Sequential SMT :
Bearish Sequential SMT :
🔵 How to Use
The Sequential SMT (SSMT) indicator is designed to detect time and structure-based divergences between two correlated assets. This divergence occurs when both assets print a similar swing (high or low) in the previous quarter (e.g., Q3), but in the current quarter (e.g., Q4), only one asset manages to break that swing level—while the other fails to reach it.
This temporal mismatch is precisely identified by the SSMT indicator and often signals smart money activity, a market phase transition, or even the presence of an engineered liquidity trap. The signal becomes especially powerful when paired with a Precision Swing Point (PSP)—a confirming candle on lower timeframes (5m–15m) that typically indicates a market structure break (MSB) and the entry of smart liquidity.
🟣 Bullish Sequential SMT
In the previous quarter, both assets form a similar swing low.
In the current quarter, one asset (e.g., EURUSD) breaks that low and trades below it.
The other asset (e.g., GBPUSD) fails to reach the same low, preserving the structure.
This time-based divergence reflects declining selling pressure, potential absorption, and often marks the end of a manipulation phase and the start of accumulation. If confirmed by a bullish PSP candle, it offers a strong long opportunity, with stop-losses defined just below the swing low.
🟣 Bearish Sequential SMT
In the previous quarter, both assets form a similar swing high.
In the current quarter, one asset (e.g., NQ) breaks above that high.
The other asset (e.g., ES) fails to reach that high, remaining below it.
This type of divergence signals weakening bullish momentum and the likelihood of distribution or a fake-out before a price drop. When followed by a bearish PSP candle, it sets up a strong shorting opportunity with targets in the discount zone and protective stops placed above the swing high.
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include: Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection.
Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active).
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Bullish SMT Line : Draws a line connecting the bullish divergence points.
Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected.
Bullish Color : Sets the color for bullish SMT markers (label, shape, and line).
Show Bearish SMT Line : Draws a line for bearish divergence.
Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found.
Bearish Color : Sets the color for bearish SMT visual elements.
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequency :
All: Every signal triggers an alert.
Once Per Bar: Alerts once per bar regardless of how many signals occur.
Per Bar Close: Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
The Sequential SMT (SSMT) indicator is a powerful and precise tool for identifying structural divergences between correlated assets within a time-based framework. Unlike traditional divergence models that rely solely on sequential pivot comparisons, SSMT leverages Quarterly Theory, in combination with concepts like liquidity sweeps, market structure breaks (MSB) and precision swing points (PSP), to provide a deeper and more actionable view of market dynamics.
By using SSMT, traders gain not only the ability to identify where divergence occurs, but also when it matters most within the market cycle. This empowers them to anticipate major moves or traps before they fully materialize, and position themselves accordingly in high-probability trade zones.
Whether you're trading Forex, crypto, indices, or commodities, the true strength of this indicator is revealed when used in sync with the Accumulation, Manipulation, Distribution, and Reversal phases of the market. Integrated with other confluence tools and market models, SSMT can serve as a core component in a professional, rule-based, and highly personalized trading strategy.
Multi Candle Body MapperMulti Candle Body Mapper
Visualize higher-timeframe candle structure within lower timeframes — without switching charts.
This tool maps grouped candle bodies and wicks (e.g., 15min candles on a 5min chart) using precise boxes and lines. Ideal for intraday traders who want to analyze market intent, body bias, and wick rejection in a compressed, organized view.
Features:
Visualize 3, 6, or 12 candle groups (e.g., 15min / 30min / 1H views)
Body box shows bullish/bearish color with adjustable transparency
Wick box shows high-low range with adjustable thickness and color
Dashed line at group close level for market direction hint
Full color customization
Toggle individual elements ON/OFF
Clean overlay – doesn’t interfere with price candles
Great for spotting:
Hidden support/resistance
Momentum buildup
Reversal traps and continuation setups
Keep your chart simple but smarter — all without changing your timeframe.
Adaptable Relative Momentum Index [ParadoxAlgo]The Adaptable Relative Momentum Index (RMI) by ParadoxAlgo is an advanced momentum-based indicator that builds upon the well-known RSI (Relative Strength Index) concept by introducing a customizable momentum length. This indicator measures price momentum over a specified number of periods and applies a Rolling Moving Average (RMA) to both the positive and negative price changes. The result is a versatile tool that can help traders gauge the strength of a trend, pinpoint overbought/oversold levels, and potentially identify breakout opportunities.
⸻
Smart Configuration Feature
What sets this version of the RMI apart is ParadoxAlgo’s exclusive “Smart Configuration” functionality. Instead of manually adjusting parameters, traders can simply select their Asset Class (e.g., Stocks, Forex, Futures/Indices, Crypto, Commodities) and Trading Style (e.g., Scalping, Day Trading, Swing Trading, Short-Term Investing, Long-Term Investing). Based on these selections, the indicator automatically optimizes its core parameters:
• Length – The period over which the price changes are smoothed.
• Momentum Length – The number of bars used to calculate the price change.
By automating this process, users save time on tedious trial-and-error adjustments, ensuring that the RMI’s settings are tailored to the characteristics of specific markets and personal trading horizons.
⸻
Key Features & Benefits
1. Momentum-Based Insights
• Uses RMA to smooth price movements, helping identify shifts in market momentum more clearly than a basic RSI.
• Enhanced adaptability for a wide range of asset classes and time horizons.
2. Simple Yet Powerful Configuration
• Smart Configuration automatically sets optimal parameter values for each combination of asset class and trading style.
• Eliminates guesswork and manual recalibration when switching between markets or timeframes.
3. Overbought & Oversold Visualization
• Integrated highlight zones mark potential overbought and oversold extremes (default at 80 and 20).
• Optional breakout highlighting draws attention to times when the indicator crosses these key thresholds, helping spot possible entry or exit signals.
4. Intuitive Design & Ease of Use
• Clean plotting and color-coded signal lines make it easy to interpret bullish or bearish shifts in momentum.
• Straightforward dropdown menus keep the interface user-friendly, even for novice traders.
⸻
Practical Applications
• Early Trend Detection: Spot emerging trends when the RMI transitions from oversold to higher levels or vice versa.
• Breakout Confirmation: Confirm potential breakout trades by tracking overbought/oversold breakouts alongside other technical signals.
• Support/Resistance Confluence: Combine RMI signals with horizontal support/resistance levels to reinforce trade decisions.
• Trade Timing: Quickly gauge when momentum could be shifting, helping you time entries and exits more effectively.
⸻
Disclaimer
As with any technical indicator, the Adaptable Relative Momentum Index should be used as part of a broader trading strategy that includes risk management, fundamental analysis, and other forms of technical confirmation. Past performance does not guarantee future results.
⸻
Enjoy using the Adaptable RMI and experience a more streamlined, flexible approach to momentum analysis. Feel free to explore different asset classes and trading styles to discover which configurations resonate best with your unique trading preferences.
VSA Tick Volume Zones0
مؤشر VSA Tick Volume مع مناطق العرض والطلب (إصدار تجريبي)
مؤشر مخصص لمنصة TradingView يعتمد على تحليل الحجم والسعر (VSA - Volume Spread Analysis)، ويقوم تلقائيًا بتحديد مناطق الطلب والعرض استنادًا إلى إشارات VSA القوية. يهدف المؤشر إلى كشف تحركات المتداولين المحترفين وتحديد نقاط الانعكاس الذكية.
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✅ الميزات الأساسية:
1. إشارات VSA:
المؤشر يتعرف تلقائيًا على أبرز إشارات تحليل VSA:
- *Climactic Volume (CV):* حجم تداول مرتفع بشكل استثنائي يشير لنهاية الاتجاه الحالي.
- *No Demand (ND):* شموع صعودية ضعيفة الحجم، تشير إلى غياب اهتمام المشترين.
- *No Supply (NS):* شموع هبوطية ضعيفة الحجم، تشير إلى غياب اهتمام البائعين.
- *Stopping Volume (SV):* ارتفاع مفاجئ في الحجم بعد اتجاه هابط، يشير لتدخل المشترين.
- *UpThrust (UT):* اختراق كاذب للسعر نحو الأعلى مع حجم كبير وإغلاق منخفض.
- *Test (T):* شموع اختبارية بحجم منخفض للتحقق من غياب البائعين استعدادًا للصعود.
2. تلوين الشموع:
- كل إشارة تُلوَّن تلقائيًا على الشارت لتسهيل المتابعة البصرية:
- CV باللون الأحمر
- ND باللون البرتقالي
- NS باللون الأخضر
- SV باللون الأزرق
- UT باللون الأرجواني
- Test باللون السماوي
3. رسم مناطق العرض والطلب تلقائيًا:
- يتم تحديد المناطق بناءً على إشارات *UT* و*SV* و*Test*، حيث تعتبر مناطق تمركز ذكي للمؤسسات (Smart Money Zones).
🎯 الهدف من المؤشر:
يساعد هذا المؤشر:
- المتداول اليومي على اتخاذ قرارات مدروسة.
- المحلل الفني على فهم السياق المؤسساتي للسوق.
- دعم استراتيجيات الدخول والخروج بدقة أعلى من خلال الدمج بين إشارات VSA والمناطق الفعلية للعرض والطلب.
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🧪 ملاحظات:
- المؤشر لا يعتبر توصية شراء أو بيع.
- الإشارات تحتاج إلى تأكيد من خلال حركة السعر أو مؤشرات مساعدة.
- يمكن استخدامه مع أدوات إضافية مثل RSI أو Moving Averages.
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⚙ الاقتراحات المستقبلية:
- دمج أدوات تدفق السيولة (مثل OBV أو VWAP).
- تنبيه صوتي وإشعار عند ظهور إشارات محددة.
- تخصيص أكبر للمستخدم من حيث الألوان ونوع الإشارات.
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للتواصل أو المساهمة في تطوير المؤشر، يرجى مراسلتي.
VSA Tick Volume Indicator with Supply and Demand Zones (Beta Version)
A custom indicator for the TradingView platform based on Volume and Price Analysis (VSA - Volume Spread Analysis), it automatically identifies supply and demand zones based on strong VSA signals. The indicator aims to uncover the movements of professional traders and identify smart reversal points.
✅ Key Features:
VSA Signals: The indicator automatically detects key VSA analysis signals:
Climactic Volume (CV): Exceptionally high trading volume indicating the end of the current trend.
No Demand (ND): Bullish candles with weak volume, indicating a lack of buyer interest.
No Supply (NS): Bearish candles with weak volume, indicating a lack of seller interest.
Stopping Volume (SV): A sudden volume spike after a downtrend, indicating buyer intervention.
UpThrust (UT): A false price breakout upwards with high volume and a low close.
Test (T): Low-volume test candles to check for the absence of sellers, signaling readiness for an upward move.
Candle Coloring:
Each signal is automatically color-coded on the chart for easy visual tracking:
CV in red
ND in orange
NS in green
SV in blue
UT in purple
Test in cyan
Automatic Supply and Demand Zone Drawing:
Zones are determined based on the UT, SV, and Test signals, which are considered smart money zones.
🎯 Purpose of the Indicator:
This indicator helps:
The day trader make informed decisions.
The technical analyst understand the market's institutional context.
Enhance entry and exit strategies with more accuracy by combining VSA signals and actual supply and demand zones.
🧪 Notes:
The indicator is not a buy or sell recommendation.
Signals need confirmation through price action or additional indicators.
Can be used alongside other tools such as RSI or Moving Averages.
⚙ Future Suggestions:
Integration of liquidity flow tools (such as OBV or VWAP).
Sound alerts and notifications when specific signals appear.
Greater customization options for users regarding colors and signal types.
For inquiries or contributions to the indicator's development, please contact me.
Normalized DEMA Oscillator SD| QuantEdgeB📊 Introducing Normalized DEMA Oscillator SD (NDOSD) by QuantEdgeB
🛠️ Overview
Normalized DEMA Oscillator SD (NDOSD) is a powerful trend and momentum indicator that blends DEMA-based smoothing with a standard deviation-based normalization engine. The result is an oscillator that adapts to volatility, filters noise, and highlights both trend continuations and reversal zones with exceptional clarity.
It normalizes price momentum within an adaptive SD envelope, allowing comparisons across assets and market conditions. Whether you're a trend trader or mean-reverter, NDOSD provides the insight needed for smarter decision-making.
✨ Key Features
🔹 DEMA-Powered Momentum Core
Utilizes a Double EMA (DEMA) for smoother trend detection with reduced lag.
🔹 Normalized SD Bands
Price momentum is standardized using a dynamic 2× standard deviation range—enabling consistent interpretation across assets and timeframes.
🔹 Overbought/Oversold Detection
Includes clear OB/OS zones with shaded thresholds to identify potential reversals or trend exhaustion areas.
🔹 Visual Trend Feedback
Color-coded oscillator zones, candle coloring, and optional signal labels help traders immediately see trend direction and strength.
📐 How It Works
1️⃣ DEMA Calculation
The core of NDOSD is a smoothed price line using a Double EMA, designed to reduce false signals in choppy markets.
2️⃣ Normalization with SD
The DEMA is normalized within a volatility range using a 2x SD calculation, producing a bounded oscillator from 0–100. This transforms the raw signal into a structured format, allowing for OB/OS detection and trend entry clarity.
3️⃣ Signal Generation
• ✅ Long Signal → Oscillator crosses above the long threshold (default: 55) and price holds above the lower SD boundary.
• ❌ Short Signal → Oscillator drops below short threshold (default: 45), often within upper SD boundary context.
4️⃣ OB/OS Thresholds
• Overbought Zone: Above 100 → Caution / Consider profit-taking.
• Oversold Zone: Below 0 → Watch for accumulation setups.
⚙️ Custom Settings
• Calculation Source: Default = close
• DEMA Period: Default = 30
• Base SMA Period: Default = 20
• Long Threshold: Default = 55
• Short Threshold: Default = 45
• Color Mode: Choose from Strategy, Solar, Warm, Cool, Classic, or Magic
• Signal Labels Toggle: Show/hide Long/Short markers on chart
👥 Ideal For
✅ Trend Followers – Identify breakout continuation zones using oscillator thrust and SD structure
✅ Swing Traders – Catch mid-trend entries or mean reversion setups at OB/OS extremes
✅ Quant/Systemic Traders – Normalize signals for algorithmic integration across assets
✅ Multi-Timeframe Analysts – Easily compare trend health using standardized oscillator ranges
📌 Conclusion
Normalized DEMA Oscillator SD is a sleek and adaptive momentum toolkit that helps traders distinguish true momentum from false noise. With its fusion of DEMA smoothing and SD normalization, it works equally well in trending and range-bound conditions.
🔹 Key Takeaways:
1️⃣ Smoother momentum tracking using DEMA
2️⃣ Cross-asset consistency via SD-based normalization
3️⃣ Versatile for both trend confirmation and reversal identification
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Let me know if you want a strategy script or publish-ready layout for TradingView next!
Median RSI SD| QuantEdgeB📈 Introducing Median RSI SD by QuantEdgeB
🛠️ Overview
Median RSI SD is a hybrid momentum tool that fuses two powerful techniques: Median Price Filtering and RSI-based Momentum. The result? A cleaner, more responsive oscillator designed to reduce noise and increase clarity in trend detection and potential reversals.
By applying the RSI not to raw price but to the percentile-based median, the indicator adapts better to real structural shifts in the market while filtering out temporary price spikes.
✨ Key Features
🔹 Smoothed RSI Momentum
Utilizes a percentile-based median as input to RSI, reducing volatility and enhancing signal reliability.
🔹 Volatility-Weighted SD Zones
Automatically detects overbought/oversold extremes using ±1 standard deviation bands on the median, adapting to current market volatility.
🔹 Trend Signal Overlay
A directional trend signal (Long / Short / Neutral) is derived from the RSI crossing custom thresholds, combined with position relative to SD bands.
🔹 Visual Labeling System
Optional in-chart labels for Long / Short signals and fully color-customizable theme modes.
📊 How It Works
1️⃣ Median RSI Calculation
Instead of using the close price directly, the script first computes a smoothed median via percentile ranking. RSI is then applied to this filtered stream, improving reactivity without overfitting to short-term noise.
2️⃣ Standard Deviation Filtering
Upper and lower SD bands are calculated around the median to identify extreme conditions. A position near the upper SD while RSI is below the short threshold triggers bearish bias. The reverse applies for longs.
3️⃣ Signal Generation
• ✅ Long Signal → RSI crosses above the Long Threshold (default: 65) and price holds above lower SD.
• ❌ Short Signal → RSI crosses below the Short Threshold (default: 45), typically within upper SD range.
4️⃣ Contextual Highlighting
Zone fills on the chart and RSI subgraph indicate Overbought (>75) and Oversold (<25) conditions for added clarity.
⚙️ Custom Settings
• RSI Length → Default: 21
• Median Length → Default: 10
• Long Threshold → Default: 65
• Short Threshold → Default: 45
• Color Mode → Choose from Strategy, Solar, Warm, Cool, Classic, Magic
• Signal Labels Toggle → Optional in-chart long/short labels
👥 Who Should Use It?
✅ Swing & Momentum Traders → Filter entries based on confirmed directional RSI setups.
✅ Range-Bound Traders → Use SD thresholds to spot fakeouts or exhaustion zones.
✅ Intraday Strategists → Enhanced signal clarity makes it usable even on lower timeframes.
✅ System Builders → Combine this signal with price action or confluence layers for smarter rules.
📌 Conclusion
Median RSI SD by QuantEdgeB is more than just a modified oscillator—it's a robust momentum confirmation framework designed for modern volatility. By replacing noisy price feeds with a statistically stable input and layering RSI + SD logic, this tool provides high-clarity signals without sacrificing responsiveness.
🔹 Key Takeaways:
1️⃣ Median-filtered RSI eliminates noise without lag
2️⃣ Standard deviation bands identify exhaustion zones
3️⃣ Reliable for both trend continuation and mean-reversion strategies
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Relative Directional Index (RDI)🔍 Overview
The Relative Directional Index (RDI) is a hybrid tool that fuses the Average Directional and the Relative Strength Indices (ADX and RSI) into a single, highly visual interface. While the former captures trend strength, the latter reveals momentum shifts and potential exhaustion. Together, they can confirm trend structure, anticipate reversals, and sharpen the timing entries and exits.
📌 Why Combine ADX with RSI?
Most indicators focus on either trend-following (like ADX) or momentum detection (like RSI)—but rarely both. Each comes with trade-offs:
- ADX alone confirms trend strength but ignores momentum.
- RSI alone signals overbought/oversold, but lacks trend context.
The RDI resolves this by integrating both, offering:
- Smarter filters for trend entries
- Early warnings of momentum breakdowns
- More confident signal validation
🧠 Design Note: Fibonacci Harmony
All default values—5, 13, 21—are Fibonacci numbers. This is intentional, as these values reflect the natural rhythm of market cycles, and promote harmonic calibration between price action and indicator logic.
🔥 Key Features
✅ ADX Histogram
- Green bars = trend gaining strength
- Red bars = trend weakening
- Adjustable transparency for visual tuning
✅ ADX Line (Orange)
- Measures trend strength over time
- Rising = accelerating trend
- Falling = trend may be fading
✅ RSI Line (Lemon Yellow)
- Captures momentum surges and slowdowns
- Above 50 = bullish control
- Below 50 = bearish pressure
✅ Trend Strength Squares
- Bright green = strong uptrend
- Bright red = strong downtrend
- Faded colors = range-bound or indecisive
✅ ADX/RSI Crossover Markers
- Yellow square = RSI crosses above ADX → momentum building
- Orange square = ADX crosses above RSI → trend still dominant
✅ Customizable Reference Lines
- Yellow (50) = strong trend threshold
- Red (30) = weak trend zone
- Green (70) = overextended, potential exhaustion
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🎯 How to Trade with the RDI
The RDI helps traders identify momentum-supported trends, catch early reversals, and avoid false signals during consolidation.
✅ Trend Confirmation Entries
🔼 Bullish → Enter long on pullbacks or resistance breakouts
- ADX rising above 30
- RSI above 50
- Green trend square visible
🔽 Bearish → Enter short on breakdowns or failed retests
- ADX rising
- RSI below 50
- Red trend square visible
🧯 Exit if RSI crosses back against trend direction or ADX flattens
🚨 Reversal Setups Using Divergence
📈 Bullish Divergence → Long entry after confirmation (e.g. engulfing bar, volume spike)
- Price prints lower low
- RSI prints higher low
- Green triangle
📉 Bearish Divergence → Short entry on breakdown
- Price prints higher high
- RSI prints lower high
- Red triangle
Tip: Stronger if ADX is declining (fading trend strength)
🔂 Breakout Detection via Cross Markers
- Yellow square = RSI > ADX → breakout brewing
- Orange square = ADX > RSI → trend continuation likely
⏸️ Avoid Choppy Markets
- RSI between 45–55
- Faded trend squares
- Flat ADX below 20–30
🧠 Pro Tips
- Combine RDI with VWAPs, moving averages and/or pitchforks
- Watch for alignment between trend and momentum
- Use divergence markers as confirmation, not stand-alone triggers
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⚠️ Hidden Divergence (Optional)
The RDI includes optional hidden divergence detection. These signals suggest trend continuation but are off by default. Use with discretion—best in established trends, not sideways markets.
🙈 Hidden Bullish
- Price prints higher low
- RSI prints lower low
🙈 Hidden Bearish
- Price prints lower high
- RSI prints higher high
CVD Divergence Insights📘 CVD Divergence Insights – by Colicoid
Pine Script v6 | Volume Delta Divergence Oscillator with Spike Detection
⸻
🔍 Overview
CVD Divergence Insights is a volume-aware oscillator and divergence spike detector that helps you spot smart money activity, absorption, failed pressure, and hidden strength or weakness — even when price action alone gives little away.
It works by comparing normalized Cumulative Volume Delta (CVD) against normalized price movement, and optionally applying a volume-weighting layer to highlight when aggressive participation is truly behind the divergence. The result is a dynamic visual tool that identifies tension in the market, and helps you trade based on how that tension resolves.
⸻
🧠 Core Concept
• When price moves one way and CVD moves another, it reflects imbalance between aggression and result.
• Divergence is not a trigger — it’s a build-up of pressure.
• The real edge lies in the resolution of that pressure.
• Optional volume-weighting helps you ignore noise and focus on high-conviction moves only.
⸻
⚙️ How It Works
1. CVD Calculation
CVD is generated using lower-timeframe delta volume (buy vs. sell pressure), accumulated per bar.
2. Oscillator
A normalized divergence between the smoothed CVD and smoothed price.
3. Volume Weighting (optional)
Emphasizes divergences occurring on higher-than-normal volume, deprioritizes low-volume noise.
4. Signal Line (optional)
A short EMA of the oscillator to help track momentum shifts (hidden by default).
5. Divergence Spikes
Statistical spike detection using standard deviation — green/red dots highlight unusually large divergence activity.
⸻
🎛️ Inputs
Anchor Period
Higher timeframe where the CVD is accumulated and processed.
Lower Timeframe
Optional override for granularity of buy/sell volume data.
SMA Length
Used for smoothing both price and CVD before divergence is calculated.
Volume Weighted?
Enables adaptive weighting based on relative volume size.
Volume Normalization Length
Lookback period used to define what is “normal” volume.
Divergence Spike Threshold
StdDev-based threshold to detect abnormally large divergences.
Signal Line Length
Controls the EMA smoothing of the optional signal line (hidden by default).
⸻
📈 Trade Setup Example: Hidden Bullish Divergence
1. Price forms a higher low, but CVD forms a lower low — hidden bullish divergence.
2. This shows aggressive sellers are trying, but price is resilient — likely absorption.
3. You wait for a "convergent signal bar":
• A bullish candle with strong structure or body
• Confirmed by CVD starting to turn upward
4. That’s your trigger bar — the tension resolves upward.
⸻
🤝 Recommended Pairings
For best results, combine CVD Divergence Insights with the companion script:
🔗 Cumulative Volume Delta Line (also by Colicoid)
This lets you:
• See the raw CVD line and its SMA visually
• Spot standard and hidden divergences in price/CVD directly
• Use the Insights indicator to evaluate divergence quality and flag aggressive bull/bear behavior
• Use the same SMA length on both indicators for alignment
👉 Tip: To save screen space, drag the CVD Line indicator into the same panel as CVD Divergence Insights.
⸻
🧰 Why Use This?
• ✅ Catch absorption setups and failed pressure zones
• ✅ Filter out low-quality divergences using volume context
• ✅ Understand why price is hesitating or breaking out
• ✅ Add smart confirmation to breakout/reversal trades
• ✅ Align your execution with who’s actually in control
⸻
📎 Created by Colicoid
Built in Pine Script v6 for advanced price-volume analysis, with focus on effort vs result, market psychology, and smart money detection.
Multi-Timeframe RPM Gauges with Custom Timeframes by DiGetIntroducing the **Multi-Timeframe RPM Gauges with Custom Timeframes + RSI Combos (mod) by DiGet** – a cutting-edge TradingView indicator meticulously crafted to revolutionize your market analysis.
Imagine having a dynamic dashboard right on your chart that consolidates the power of nine essential technical indicators—RSI, CCI, Stochastic, Williams %R, EMA crossover, Bollinger Bands, ATR, MACD, and Ichimoku Cloud—across multiple timeframes. This indicator not only displays each indicator’s score through an intuitive gauge system but also computes a combined metric to provide you with an at-a-glance understanding of market momentum and potential trend shifts.
**Key Features:**
- **Multi-Timeframe Insight:**
Configure up to four custom timeframes (e.g., 1, 5, 15, 60 minutes) to capture both short-term fluctuations and long-term trends, ensuring you never miss critical market moves.
- **Comprehensive Signal Suite:**
Benefit from a harmonious blend of signals. Whether you rely on momentum indicators like RSI and CCI, volatility measures like Bollinger Bands and ATR, or trend confirmations via EMA, MACD, and Ichimoku, every metric is normalized into actionable percentages.
- **Dynamic, Color-Coded Gauge Display:**
A built-in table presents all your data in a clear, color-coded format—green for bullish, red for bearish, and gray for neutral conditions. This visual representation allows you to quickly gauge market sentiment without sifting through complex charts.
- **Customizable Layout:**
Tailor your experience by toggling individual table columns. Whether you want to focus solely on RSI or dive deep into combined metrics like RSI & CCI or RSI & MACD, the choice is yours.
- **Optimized Utility Functions:**
Proprietary functions standardize indicator values into percentage scores, making it simpler than ever to compare different signals and spot opportunities in real time.
- **User-Friendly Interface:**
Designed for both beginners and seasoned traders, the straightforward input settings let you easily adjust technical parameters and timeframes to suit your personal trading strategy.
This indicator is not just a tool—it’s your new trading companion. It equips you with a multi-dimensional view of the market, enabling faster, more informed decision-making. Whether you’re scanning across various assets or drilling down on a single chart, the Multi-Timeframe RPM Gauges empower you to interpret market data with unprecedented clarity.
Add this indicator to your TradingView chart today and experience a smarter, more efficient way to navigate the markets. Join the community of traders who have elevated their analysis—and be ready to receive countless thanks as you transform your trading strategy!
Wave N + KDJ + Volumi + SMC + IchimokuWave N + KDJ + Volume + SMC + Ichimoku Indicator
Overview
This script is a multi-layered technical indicator designed to provide traders with enhanced market insights by combining five key methodologies:
• Wave N Pattern (Price Action)
• KDJ Oscillator (Momentum)
• Volume Filtering (Confirmation)
• Smart Money Concepts (Order Blocks) (Institutional Activity)
• Ichimoku Cloud (Trend and Support/Resistance)
By integrating these components, the indicator identifies high-probability trading signals, early warnings of trend shifts, and institutional price zones to improve decision-making in volatile markets.
⸻
How It Works
1️⃣ Wave N Pattern (Price Action Structure)
The Wave N pattern is a classic price action formation that helps spot potential trend reversals and continuations:
• A Bullish Wave N is detected when a higher low and a higher high structure appears.
• A Bearish Wave N is detected when a lower high and a lower low structure forms.
2️⃣ KDJ Oscillator (Momentum & Trend Strength)
The KDJ Indicator is a variation of the Stochastic Oscillator that adds a third line, J, to amplify sensitivity to trend movements.
• J > 50 indicates bullish momentum.
• J < 50 indicates bearish momentum.
• The script includes an early warning signal when J crosses 50, suggesting a possible trend shift.
3️⃣ Volume Filtering (Trade Confirmation)
To avoid false signals, the script integrates volume confirmation:
• A signal is valid only if the volume is above the 20-period EMA of volume.
• This ensures that trade signals are supported by strong market participation.
4️⃣ Smart Money Concepts (Order Blocks)
Order Blocks represent areas of institutional interest, where large traders accumulate or distribute positions.
• The script detects bullish order blocks (potential support) and bearish order blocks (potential resistance).
• These areas help identify optimal entry and exit points.
5️⃣ Ichimoku Cloud (Trend & Dynamic Support/Resistance)
The Ichimoku Cloud is used to confirm trend direction:
• Baseline (Kijun-sen) acts as a key trend filter.
• Senkou Span A & B form the cloud (Kumo), indicating dynamic support/resistance.
• Buy signals require price to be above the baseline, while sell signals require price to be below the baseline.
⸻
Trading Signals & Visual Elements
✅ BUY Signal (Green Arrow)
Occurs when:
• A Bullish Wave N forms
• J > 50 (Bullish KDJ Signal)
• Volume is above EMA threshold
• Price is above the Ichimoku Baseline
❌ SELL Signal (Red Arrow)
Occurs when:
• A Bearish Wave N forms
• J < 50 (Bearish KDJ Signal)
• Volume is above EMA threshold
• Price is below the Ichimoku Baseline
⚠️ Early Warning (Trend Shift Signal)
• An early warning appears when J crosses 50, indicating a possible upcoming trend shift.
• The line color changes based on the potential move:
• Green/Blue → Possible Uptrend
• Red/Orange → Possible Downtrend
⸻
Why This Indicator is Unique?
Unlike simple trend-following indicators, this script:
• Combines Price Action, Momentum, Volume, and Institutional Order Flow for a multi-dimensional approach.
• Filters out weak signals using volume confirmation and Ichimoku.
• Provides early warnings before major trend shifts.
• Visualizes Smart Money Order Blocks, giving traders an edge in spotting institutional zones.
⸻
Best Timeframes & Markets
📊 Recommended Timeframes:
• 1H & 1D (works best on medium/long-term trends)
💹 Markets:
• Crypto, Forex, and Stocks
This indicator is designed for traders who value confluence and strong confirmation in their strategies. Whether you are a trend trader, swing trader, or institutional flow analyst, this tool can help refine your decision-making process.
🚀 Optimize your trades with Wave N + KDJ + Volume + SMC + Ichimoku! 🚀
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
[TehThomas] - ICT Volume ImbalanceThis script is a Volume Imbalance (VI) detector and visualizer for use on the TradingView platform. The goal of the script is to automatically identify areas where there are significant imbalances in the volume of trades between consecutive candlesticks and visually highlight these areas. These imbalances can provide traders with valuable insights about the market’s current condition, often signaling potential reversal or continuation points based on price and volume action.
ICT (Inner Circle Trader) Concept of Volume Imbalances
Volume imbalances are a critical concept in the ICT trading methodology. They refer to situations where there is an unusual or significant difference in volume between two consecutive candlesticks, which might indicate institutional or large player activity. According to ICT principles, these imbalances can show us areas of market inefficiency or potential price manipulation. By identifying these imbalances, traders can gain an edge in understanding where the market is likely to move next.
Bullish and Bearish Volume Imbalances:
Bullish Volume Imbalance: This occurs when there is a strong increase in buying pressure, typically indicated by a higher volume on a candle that closes significantly above the previous one, often leaving a gap or larger price movement. The market could be preparing to push higher, and the volume shows a clear shift in buying demand.
Bearish Volume Imbalance:
Conversely, a bearish imbalance occurs when there is a strong increase in selling pressure, typically signaled by a candle that closes significantly lower than the previous one, again with higher volume. This could indicate that large players are offloading positions, and the price is likely to drop further.
Key Features and Functions of the Script
The script automates the process of detecting these volume imbalances and visually marking them on a price chart. Let’s explore its functionality in detail.
1. Inputs Section
The script allows for significant customization through its input options, which help traders adjust the detection and visualization of volume imbalances based on their individual preferences and trading style. Below are the details:
lookback (250 bars): This input specifies the number of bars (or candles) the script should look back when analyzing the volume imbalance. By setting this to 250, the user is looking at the last 250 bars on the chart to detect any significant volume imbalances. This period is adjustable between 50 to 500 bars.
volumeThreshold (1.0 multiplier): This input helps set the sensitivity for identifying volume imbalances. The script compares the volume of the current candle with the previous one, and if the current volume exceeds the previous volume by this threshold multiplier (in this case, 1.0 means at least equal to the previous volume), then it triggers an imbalance. Users can adjust the multiplier to suit different market conditions.
showBoxes (true/false): This toggle determines whether the boxes representing volume imbalances are drawn on the chart. When enabled, the script visually highlights the imbalances with colored boxes.
fillBaseColor (orange with 80% opacity): This is the color setting for the background of the imbalance boxes. A softer color (like orange with opacity) ensures the imbalance is highlighted without obscuring the price action.
borderColor (gray): The color of the border around the imbalance boxes. This adds a visual distinction to make the imbalance areas more visible.
borderWidth (1 pixel): This controls the width of the box's border to adjust how prominent it appears.
rightOffset (30 bars): This input controls how far the imbalance box extends to the right on the chart. It helps users anticipate the potential continuation of the imbalance beyond the current candle.
allowWickOverlap (true/false): This setting allows imbalances to be identified even if the wicks of the two consecutive candlesticks overlap. If set to false, only imbalances where the bodies of the candlesticks don’t overlap are considered.
showBrokenBoxes (true/false): If enabled, once a volume imbalance no longer holds true (i.e., the price breaks through the box), the box is marked as "broken." If disabled, the box is deleted when the imbalance condition no longer applies.
brokenBoxColor (red): This controls the color of the box when it is broken, which can be used as a visual cue that the imbalance was invalidated or no longer valid for analysis.
2. Volume Imbalance Function
This is the core function of the script, where the logic to detect bullish and bearish volume imbalances is implemented.
Bullish Imbalance Condition:
The first condition checks if the low of the current candle is greater than the high of the previous candle. This suggests that the market is moving upward with buying pressure.
The second condition checks whether the volume of the current candle is higher than the previous candle by the volumeThreshold multiplier. If both conditions are satisfied, a bullish imbalance is detected.
Bearish Imbalance Condition:
The first condition checks if the high of the current candle is lower than the low of the previous candle. This suggests downward price action with selling pressure.
The second condition checks whether the current volume exceeds the previous volume by the threshold
Allow Wick Overlap: If allowWickOverlap is set to true, the script will still detect imbalances if the wicks of the two candles overlap (common in volatile markets). If false, imbalances are only considered if the wicks do not overlap.
3. Box Creation and Management
When a volume imbalance is detected, the script creates a box on the chart:
The bullish imbalance box is drawn using the minimum of the open and close of the current bar as the top boundary and the maximum of the open and close of the previous bar as the bottom boundary.
Conversely, the bearish imbalance box is drawn in reverse, using the maximum of the current bar’s open and close as the top boundary and the minimum of the previous bar’s open and close as the bottom boundary.
Once the box is created, it is displayed on the chart with the specified background color, border color, and width.
4. Processing Existing Boxes
After detecting a new imbalance and drawing a box, the script checks whether the box should still remain on the chart:
If the price moves beyond the boundaries of the imbalance box, the box is marked as broken (if showBrokenBoxes is enabled), and its color is changed to red, signifying that the imbalance is no longer valid.
If the box remains intact (i.e., the price has not broken the defined boundaries), the script keeps the box extended to the right as the market continues to evolve.
5. Removing Outdated Boxes
Lastly, the script removes boxes that are older than the specified lookback period. For example, if a box was created 250 bars ago, it will be deleted after that period. This ensures the chart stays clean and only focuses on relevant imbalances.
Why This Script is Useful for Traders
This script is extremely valuable for traders, especially those following the ICT methodology, because it automates the process of detecting market inefficiencies or imbalances that might signal future price action. Here’s why it’s particularly useful:
Identifying Key Areas of Interest: Volume imbalances often point to areas where institutional or large-scale traders have entered the market. These areas could provide clues about the next significant move in the market.
Visualizing Market Structure: By automatically drawing boxes around volume imbalances, the script helps traders visually identify potential areas of support, resistance, or turning points, enabling them to make informed trading decisions.
Time Efficiency: Instead of manually analyzing each candlestick and volume spike, this script does the heavy lifting, saving traders valuable time and allowing them to focus on other aspects of their strategy.
Enhanced Trade Entries and Exits: By understanding where volume imbalances are occurring, traders can time their entries (buying during bullish imbalances and selling during bearish ones) and exits (as imbalances break) more effectively, thus improving their chances of success.
Conclusion
In summary, this script is a powerful tool for traders looking to implement volume imbalance strategies based on the ICT methodology. It automates the identification and visualization of significant imbalances in price and volume, offering traders a clear visual representation of potential market turning points. By customizing the settings, traders can tailor the script to their preferred timeframes and sensitivity, making it a flexible and effective tool for any trading strategy.
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