Smart Levels📊 SMART LEVELS - Dynamic Support & Resistance Indicator
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🎯 OVERVIEW
Smart Levels is an advanced support and resistance indicator that automatically identifies and displays the most significant price levels based on historical pivot points. Unlike simple pivot indicators, Smart Levels uses intelligent clustering and weighting algorithms to merge nearby extremums and highlight only the most reliable levels that matter for trading decisions.
This indicator emphasizes identifying key price levels where multiple pivot points converge, creating zones of increased probability for price reactions.
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🔧 HOW IT WORKS
1. PIVOT POINT DETECTION
The indicator scans historical price data to identify pivot highs and pivot lows using configurable left/right bar parameters. Each detected extremum represents a potential support or resistance point where price previously reversed.
2. INTELLIGENT LEVEL CLUSTERING
KEY INNOVATION: Instead of drawing a line at every pivot point, Smart Levels uses an ATR-based clustering algorithm to merge nearby extremums into consolidated levels.
• Extremums within a specified percentage of ATR are grouped together
• The level price is calculated as a weighted average of all contributing pivot points
• This eliminates visual clutter and focuses on truly significant zones
3. TOUCH-BASED LEVEL RANKING
Levels are ranked by the number of pivot points (touches) that contributed to them:
• 5+ touches: Strong levels (solid lines, thicker width)
• 2-4 touches: Moderate levels (dashed lines, standard width)
• Only levels meeting the minimum touch threshold are displayed
4. LEVEL CLASSIFICATION
Each level is automatically classified based on the types of extremums it contains:
• 🟢 SUPPORT - Contains only pivot lows (green)
• 🔴 RESISTANCE - Contains only pivot highs (red)
• 🔵 MIRROR LEVEL - Contains both highs and lows, indicating a level that has acted as both support and resistance (blue)
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📋 KEY FEATURES
✨ SMART LEVEL DETECTION
• ATR-Adaptive Clustering: Automatically adjusts merge zones based on market volatility
• Configurable History: Look back 50-500 bars to find relevant levels
• Touch-Based Filtering: Only show levels with minimum confirmation (2-10 touches)
• Top N Display: Automatically displays the strongest 3-20 levels to avoid clutter
📊 DETAILED PRICE INFORMATION
• Multi-Line Price Labels: Each level shows ALL contributing pivot prices in a vertical list
• Labels display the exact historical prices that formed the level
• Visual classification icons (↑ support, ↓ resistance, 🔄 mirror)
• Labels positioned to the right of current price for clear visibility
🎨 VISUAL CUSTOMIZATION
• Customizable colors for support, resistance, and mirror levels
• Automatic line styling based on level strength
• Optional debug mode showing all detected pivot points
• Highlight feature that marks which extremums contributed to displayed levels
📈 REAL-TIME UPDATES
• Levels recalculate on every bar for dynamic adaptation
• Lines extend into the future for forward-looking analysis
• Information table shows current ATR, merge zone, and level statistics
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⚙️ INPUT PARAMETERS
EXTREMUM DETECTION
• Bars Left (7) - Number of bars to the left for pivot detection (2-20)
• Bars Right (7) - Number of bars to the right for pivot detection (2-20)
• Lookback History (200) - How many bars back to analyze for levels (50-500)
LEVEL SETTINGS
• Merge Percent (0.8% ATR) - Maximum distance to cluster extremums (0.2-3.0%)
• Minimum Touches (2) - Minimum pivot points required to display a level (2-10)
• Maximum Levels (10) - How many top levels to display (3-20)
VISUAL OPTIONS
• Support Color (Green) - Color for support levels
• Resistance Color (Red) - Color for resistance levels
• Mirror Color (Blue) - Color for mirror levels
• Show Debug Pivots - Display all detected pivot points
• Highlight Used Extremums - Mark extremums that form displayed levels
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📖 HOW TO USE
BASIC SETUP
1. Add the indicator to your chart (works on any timeframe)
2. Start with default parameters and observe the detected levels
3. Adjust "Minimum Touches" to filter more/less levels
4. Tune "Merge Percent" based on your timeframe and instrument volatility
TRADING APPLICATIONS
1. Entry Timing: Watch for price reactions at identified levels for potential entry points
2. Stop Loss Placement: Place stops beyond strong levels (5+ touches)
3. Target Selection: Use the next significant level as a profit target
4. Breakout Confirmation: Monitor for decisive breaks of strong resistance/support levels
5. Mirror Level Strategy: Blue levels that flip from support to resistance (or vice versa) can provide high-probability setups
INTERPRETATION TIPS
• Solid thick lines (5+ touches) = Extremely reliable levels with strong historical significance
• Dashed lines (2-4 touches) = Valid levels but with less confirmation
• Mirror levels (blue) = Highest probability zones as they've worked in both directions
• Check the price labels to see the exact historical prices that formed each level
RECOMMENDED SETTINGS BY TIMEFRAME
• Scalping (1m-5m): Lookback 100-150, Merge 0.5-0.8%, Min Touches 2-3
• Intraday (15m-1h): Lookback 150-200, Merge 0.8-1.2%, Min Touches 3-4
• Swing (4h-1D): Lookback 200-300, Merge 1.0-1.5%, Min Touches 3-5
• Position (1D-1W): Lookback 300-500, Merge 1.5-2.0%, Min Touches 4-6
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🔍 DEBUG FEATURES
Enable the debug options to understand how the indicator works:
• Show Debug Pivots: Displays small triangles at all detected pivot points (faded)
• Highlight Used Extremums: Bright colored triangles show which pivots contributed to displayed levels
• Info Table: Shows current ATR, merge zone size, number of detected extremums, and active levels
These features help you fine-tune parameters and understand why certain levels appear or disappear.
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⚡ TECHNICAL DETAILS
• Version: Pine Script v5
• Overlay: Yes (draws directly on price chart)
• Maximum Lines: 50 (configurable limit)
• Maximum Labels: 50 (configurable limit)
• ATR Period: 14 bars (standard volatility measurement)
• Calculation Method: Weighted average of clustered pivot points
• Update Frequency: Every bar (dynamic recalculation)
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💡 WHAT MAKES THIS INDICATOR ORIGINAL
1. INTELLIGENT CLUSTERING ALGORITHM
Unlike basic pivot indicators that draw every level, Smart Levels uses ATR-adaptive clustering to merge nearby extremums, highlighting only the most significant zones
2. DETAILED PRICE HISTORY
Multi-line labels show ALL historical prices that formed each level, providing transparency about level formation
3. DYNAMIC STRENGTH VISUALIZATION
Automatic line styling (solid vs dashed, thickness) based on level confirmation strength
4. MIRROR LEVEL DETECTION
Identifies zones that have acted as both support AND resistance, which are statistically more reliable
5. REAL-TIME ADAPTATION
Continuous recalculation ensures levels remain relevant as new price action develops
6. VISUAL DEBUGGING SYSTEM
Comprehensive tools to understand level formation and tune parameters effectively
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⚠️ IMPORTANT NOTES
• This indicator identifies historical support/resistance zones - it does NOT predict future price movements
• Always combine with other forms of analysis (trend, volume, fundamentals) for trading decisions
• Levels can break - use proper risk management and stop losses
• Higher timeframes generally produce more reliable levels
• On first load, the indicator needs leftBars + rightBars bars to detect the first pivots
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📚 METHODOLOGY BACKGROUND
This indicator implements a clustering-based approach to support and resistance analysis, which emphasizes:
• Identifying price levels where multiple extremums converge
• Focusing on the strongest, most tested levels rather than every minor pivot
• Using historical price behavior to anticipate future support/resistance
• Combining level analysis with proper risk management and position sizing
The clustering approach ensures that levels represent genuine zones of supply/demand accumulation rather than isolated price spikes, making them more reliable for trading decisions.
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ניתוח מגמה
WaveLab GOLD Study**Description**
`WaveLab GOLD Study – Liquidity & Structure` is an educational chart study that visualizes market structure, liquidity context and confluence.
It is not a trading system and does not generate trade instructions or orders.
**Main Components**
* **Liquidity Engine** – Builds demand/supply-style boxes around strong breaks of structure, high-volume candles and optional FVG conditions.
When price revisits a strong box, the study can plot bar markers:
`B` below the bar for bullish context, `S` above the bar for bearish context.
* **Trend & LR / MTF Context** – Optional EMAs, Donchian, VWAP and a Linear Regression slope with simple angle classification (`strong up / flat / strong down`), plus multi-timeframe RSI to show broader directional background.
* **Price Action Layer** – Detects a small set of classic bar patterns (engulfing, hammer / shooting star, inside / outside bar) and summarizes them into a qualitative bias (bullish, bearish, inside, outside, neutral).
* **Dashboard** – Compact table that displays price, short-term momentum, trend state, PA status, liquidity context and the current B/S confluence marker.
**How to Use (Educational)**
1. Start from liquidity boxes to see where reactions cluster.
2. Add trend, LR and MTF context to understand whether price is moving with or against the broader environment.
3. Use B/S markers and the dashboard only as visual summaries to review bars and build a discretionary framework; they are not entry or exit signals.
**Disclaimer**
This script is for educational and illustrative purposes only.
It does not provide financial advice or recommendations, and any trading decisions remain entirely the user’s responsibility.
Relative Strength TableRelative Strength Table
1. Overview and Key Features
The Relative Strength Table is an indicator that compares multiple tickers against a benchmark (default: SPY) and displays their relative strength.
It is designed to help analyze stock leadership, sector trends, and portfolio performance in one consolidated table.
You can freely input up to 20 tickers from the Inputs panel, allowing flexible comparisons.
(If 20 tickers feel too limited, let me know in the comments — I’ll expand it.)
2. How the RS Percentile Is Calculated and What It Means
The RS Percentile shows how strong the current price ratio is compared to past data, expressed as a percentile rank.
First, the indicator calculates the price ratio by dividing the ticker’s close by the benchmark’s close.
Then, it compares the latest ratio with historical ratio data and determines its percentile value.
Examples:
・80% or higher → relatively strong
・Around 50% → neutral
・40% or below → relatively weak
3. Indicator Features and Customization
3-1. RS Lookback Settings
You can set up to four lookback periods for RS calculation and customize the bar count for each.
Default values are 5, 21, 63, and 126 bars.
You can choose which column to sort by, and the selected column is marked with an asterisk.
Each RS column can be shown or hidden individually via checkboxes.
3-2. Visual Highlight Settings
Relative strength can be color-coded for clarity.
You can freely customize:
・Highlight colors
・Threshold values
・On/off toggles for each highlight layer
3-3. Default Tickers and Reset Function
These 16 sector ETFs are included as the default ticker set:
QQQ, QQQE, RSP, DIA, IWM, XLV, XLE, XLF, XLRE, XLB, XLP, XLU, XLY, XLK, XLC, XLI
You can return to the default list anytime by pressing the refresh button next to the ticker fields.
4. Use Cases and Analysis Examples
4-1. Sector Rotation Analysis
By comparing RS across multiple periods, you can easily identify:
・Sectors gaining short-term strength
・Sectors with steady long-term inflows
A sharp rise in short-term RS may signal the early stages of a rotation.
4-2. Identifying Leaders Within a Sector
You can compare up to 20 tickers at once, making it easy to spot true sector leaders.
4-3. Objective Evaluation of Portfolio Holdings
By entering your portfolio tickers, you can instantly see:
・Whether each name is outperforming or underperforming
・Which timeframes show strength
・How each ticker compares to the benchmark
Faraz Perfect Structure XL / XS (Trend-Filtered)Faraz’s Perfect Structure XL/XS identifies premium trend continuation and reversal setups using a three-filter system:
structural breakouts using dynamic swing-based support/resistance,
trend confirmation via 200-EMA slope,
momentum validation through RSI and MACD.
Signals only trigger when all factors align, eliminating noise, chop, and false signals.
Designed for traders who want clean, high-probability long (XL) and short (XS) entries.
WeAxes SMC Pro - Complete Trading SystemOverview
WeAxes SMC Pro is a comprehensive trading indicator that combines Smart Money Concepts (SMC) with multi-timeframe trend analysis. This powerful tool helps traders identify high-probability setups by aligning price action, market structure, and momentum across different timeframes.
Key Features
1. Multi-Timeframe Trend Alignment
Dual EMA System: Tracks EMA 5/10 on both current and H1 timeframes
Trend Confirmation: Requires alignment between current TF and H1 TF for optimal setups
Visual Band Display: Colored H1 EMA band (green for bullish, red for bearish)
2. Smart Money Concepts Integration
Support/Resistance Detection: Automatically identifies key H1 swing levels
Break & Retest Logic: Detects institutional order block patterns
Market Structure Analysis: Identifies recent highs/lows for momentum confirmation
3. Advanced Confluence Scoring System
The indicator calculates a comprehensive score (0-12 points) based on:
Trend Alignment (0-4 points): Multi-timeframe EMA alignment
S/R Analysis (0-4 points): Support/resistance breakouts and retests
Volume Confirmation (0-2 points): Volume spike analysis
RSI Momentum(0-2 points): Momentum filter customization
Price Action (0-2 points): Candlestick pattern strength
4. Visual Enhancements
Color-Coded Candles: Automatic candle coloring based on trend alignment
Dynamic S/R Lines**: Recent support/resistance levels plotted on chart
- **Background Highlights**: Visual alerts for strong alignment conditions
Setup & Configuration
Basic Settings (WeAxes SMC Settings)
Show Score Table: Toggle the confluence scoring table
Min Confluence Score: Set minimum score for high-probability alerts (3-10)
Volume Confirmation: Enable/disable volume analysis
RSI Filter: Add momentum confirmation with RSI
Trend Following Settings
H1 EMA Band: Show/hide the H1 trend band
Candle Coloring: Automatic candle coloring based on alignment
RSI Filter Settings: Customize RSI thresholds for bullish/bearish conditions
Smoothing Options: Choose smoothing method for H1 EMAs
How to Use
Step 1: Identify Trend Direction
Look for BULLISH ALIGN or BEARISH ALIGN in the score table
Confirm H1 EMA band color matches your bias (green = bullish, red = bearish)
Step 2: Check Confluence Score
8-12 Points: Perfect setup - strong trend + S/R confluence
5-7 Points: Good setup - moderate confluence
3-4 Points: Weak setup - proceed with caution
0-2 Points: Avoid trade - no clear edge
Step 3: Analyze Market Structure
Support/Resistance Levels: Check plotted S/R lines
Break & Retest: Look for recent breakouts with retest confirmation
Price Action: Strong bullish/bearish candles near key levels
*Step 4: Entry Confirmation
LONG SETUPS:
- Bullish alignment (current + H1)
- Price above key EMA levels
- Support hold or resistance break
- High confluence score (5+)
- Green candle coloring
**SHORT SETUPS:**
- Bearish alignment (current + H1)
- Price below key EMA levels
- Resistance hold or support break
- High confluence score (5+)
- Red candle coloring
Trade Management
Entry Signals
Perfect Setup: Score 8+ with all components aligned
Good Setup: Score 5-7 with strong trend + S/R confluence
Avoid: Near opposite S/R levels or low scores
Risk Management
- Use detected S/R levels for stop loss placement
- Position size based on confluence score strength
- Avoid trades when score table shows "NEAR RES - AVOID" or "NEAR SUP - AVOID"
Exit Strategy
- Monitor for trend alignment changes
- Watch for candle color shifts
- Use subsequent S/R levels for profit targets
Pro Tips**
1. Combine Timeframes: Use H4 for direction, H1 for structure, current TF for entries
2. Volume Matters: High volume on breakouts increases setup validity
3. Patience Pays: Wait for full alignment rather than forcing marginal setups
4. Score First: Let the confluence score guide your trade decisions
5. Practice: Backtest to understand how different score combinations perform
Customization
The indicator is highly customizable:
- Adjust RSI thresholds for different market conditions
- Modify score thresholds based on your risk tolerance
- Toggle visual elements to reduce chart clutter
- Customize colors to match your trading style
⚠️ Disclaimer
This tool is designed to assist with analysis, not replace it. Always combine with proper risk management and market context. Past performance doesn't guarantee future results.
Scalping Market Strctures[SumitQuants]🇮🇳🔥 **Scalping Market Structures
**
Built for Scalper and Market Structure Breakout Trader
A clean, lightning-fast market structure engine designed for Indian scalpers who need precise Swing Points, BOS/CHoCH, and True Breakout Signals — without clutter, lag, or noise.
Perfect for 1-min, 3-min, 5-min scalping on indices & stocks.
🧠 Why This Indicator Stands Out
Most structure tools repaint or clutter your chart.
This one is simple, sharp, and brutally effective.
It reveals:
➡ True swing highs & lows
➡ Where structure flips (BOS/CHoCH)
➡ Counter-trend reversals
➡ Buy/Sell pressure points
➡ 0.5 retracement zones for sniper entries
It reads the chart the way scalpers need:
Fast. Clean. Accurate.
🔥 What’s Inside (Complete Feature Stack)
🎯 1. Automatic Swing High/Low Detection (Scalper-Optimized)
Instant swing labeling that adapts to your timeframe:
✔ HH (Higher High)
✔ LH (Lower High)
✔ HL (Higher Low)
✔ LL (Lower Low)
Buy / Sell swing labels appear automatically:
🟥 “Sell ↓” on bearish swing highs
🟩 “Buy ↑” on bullish swing lows
Perfect for reading trend direction in seconds.
⚡ 2. Real BOS & CHoCH Detection
Clean breakout logic that respects your choice:
✔ BOS via Candle Close
✔ BOS via Wick Break
Plus:
✨ CHoCH mode (first counter-trend BOS automatically renamed to CHoCH)
✨ Breakout lines drawn with your color & style
✨ Mid-point BOS labels for perfect visibility
Spot reversals & trend flips with zero confusion.
📏 3. The 0.5 Retracement Tool (Smart Entry Zone)
Beautiful mid-retracement lines drawn ONLY when trend conditions match:
🔹 Appears between recent swing high → low
🔹 Shows ideal 50% pullback zone
🔹 Perfect for sniper re-entries during expansions
Enable/disable anytime. Fully customizable.
🔍 4. Trend Context in One Glance
The script tracks:
✔ Last swing direction
✔ Whether the market is making HH/LH or HL/LL
✔ Bias shift moments
✔ When highs or lows get invalidated
This gives you real structure awareness — the foundation of SMC scalping.
🔔 5. Clean Breakout Visualization
Whenever a swing high or swing low gets taken out:
🔥 A BOS line is drawn
🔥 A BOS/CHoCH label appears
🔥 The previous swing is deactivated
🔥 Trend context is updated instantly
No repaint. No lag. No ambiguity.
🧽 6. Ultra-Clean UI
✔ Minimalist labels
✔ Light/dark-mode friendly
✔ Zero clutter
✔ Focus on price, not drawings
A scalper’s dream: fast, clean, actionable.
🧪 Who Is This Built For?
✔ NIFTY/BANKNIFTY Scalpers
✔ Price Action Traders
✔ SMC Traders
✔ Smart Money Reversal Traders
✔ Anyone who trades 1m–15m charts
✔ Traders who want a simple but powerful structure tool
⚡ Why Indian Traders Love It
🔸 Calls out structure shifts instantly
🔸 Helps spot reversals BEFORE the move starts
🔸 Makes scalping simple & visual
🔸 Eliminates noisy indicators
🔸 Gives pure price-action clarity
🔸 Works on every timeframe & instrument
This is not just a structure tool —
It’s your scalping radar.
🛒 Get Full Access
This indicator is available inside the Courses Section on the official website.
👉 Purchase & Access:
www.ironmindtrader.com
Inside the course:
🔧 Installation Steps
📘 How to Use the Structure System
🎯 Scalping Entry Logic
🔄 Updates Included
SUN Signal System
Overview – SUN Signal System
Free 7-DAY trial is available on request.
The SUN Signal System represents an advanced approach to momentum trading, offering adaptive tools to help traders navigate markets effectively. Built on proprietary efficiency ratio calculations and volatility-based filtering techniques, this indicator introduces several powerful features to improve accuracy and adaptability. Whether you trade stocks, Forex, commodities, or cryptocurrencies, SUN Signal System adapts seamlessly to your preferred market and trading style.
📈 SUN Signal System is highly effective across a wide range of market conditions, excelling in both trending and range-bound environments. It serves as a powerful tool for scalping and optimizing trade entries on shorter time frames, while also delivering performance for swing trading strategies.
⚠ IMPORTANT NOTICE - Optimize Your Indicator for Best Results:
To fully leverage the power of SUN Signal System, it's essential to adjust and fine-tune the indicator's settings to align with your specific trading style, instrument type, and time frame. Doing so can significantly enhance signal accuracy and overall performance.
Key Features
Adaptive SUN Line: A proprietary adaptive algorithm that dynamically adjusts to changing market conditions. The efficiency ratio measures directional movement versus total volatility, automatically scaling sensitivity through non-linear power calculations.
Turbo Mode Detection: Identifies explosive momentum moves through acceleration analysis. Markers appear when the efficiency ratio accelerates beyond threshold, signaling potential strong directional moves.
Reversal Warning System: Markers warn of potential reversals using divergence analysis between price action and momentum exhaustion patterns.
Dual Dashboard System: Multi-timeframe signal dashboard (M1/M3/M5/M10/M15) combined with Stochastic RSI dashboard (M5/M15/H1) for comprehensive market overview at a glance.
Performance Tracking: Real-time performance metrics including win rate, profit factor, and trade statistics displayed directly on chart for immediate feedback.
Areas of Application
Type of Indicator: A momentum and trend-following indicator equipped with dynamic filtering capabilities to effectively manage volatility and reduce noise, ensuring precise and actionable signals.
Markets: Performs well across all markets and instruments, including stocks, Forex, indices, commodities, or cryptocurrencies. Particularly effective in volatile conditions or trending markets.
Time frames: Fully compatible with all time frames, from 1-minute charts to daily charts. Optimal performance on 15-minute and above for trend following.
Settings and Customization
SUN Signal System's default settings are optimized for general use. However, traders are encouraged to experiment with parameters to maximize effectiveness for their specific trading style and market conditions.
Core Parameters:
🔃 Period: Adjusts the analyze period of recent bars. Range: 8-14. Lower values increase sensitivity. Default: 10.
🔃 F: Controls responsiveness to price changes. Range: 2-10. Lower values increase sensitivity for scalping. Default: 2.
🔃 S: Determines smoothing in ranging markets. Range: 20-50. Higher values provide stronger noise filtering. Default: 20.
🔃 P: Adjusts the efficiency ratio scaling. Range: 1.0-3.0. Controls adaptation curve aggressiveness. Default: 0.5
Volatility Intelligence:
🔃 Period: Volatility measurement window. Range: 10-20. Affects signal filtering strictness. Default: 14.
🔃 Strength: Controls signal filtering threshold based on volatility. Range: 30-50. Higher values reduce false signals during low volatility. Default: 30.
We encourage you to try these optimized custom settings:
Conservative: 18, 3, 30, 0.8, 14, 40
Balanced: 14, 2, 30, 0.5, 14, 35
Aggressive: 10, 1, 20, 0.3, 14, 25
Dashboard Configuration:
🔃 Show Stochastic Dashboard: Toggle Stochastic RSI multi-timeframe display. Default: true.
🔃 Show MTF Dashboard: Toggle multi-timeframe signal dashboard. Default: true.
🔃 Dashboard Position: Choose dashboard placement on chart. Options: Top/Bottom, Left/Right.
Additional Features:
🔃 Enable Turbo Mode: Activates momentum acceleration detection. Default: true. Adjust the K & P value to customize the candle range first.
Recommended Setting : K = 0.007, P = 0.25. The candle value will show on the dashboard as T.
🔃 Enable Reversal Detection: Activates divergence-based reversal warnings. Default: true. Adjust the K & P value to customize the candle range first.
Recommended Setting : K = 0.01, P = 0.2. The candle value will show on the dashboard as R.
For Turbo & Reversal setting,
🔃 Show Performance Stats: Displays real-time trade statistics. Default: true.
How to Use the Indicator:
1. Apply the Indicator: Add SUN Signal System to your chart, selecting your desired instrument and time frame. Adjust settings to suit your trading strategy.
2. Buy Signals: When a Buy signal appears (green arrow ▲) after validation conditions are met, consider entering a Long position.
3. Sell Signals: When a Sell signal appears (red arrow ▼), consider exiting Long positions or entering Short positions.
4. Turbo Mode: markers indicate momentum acceleration. Use these as confirmation for existing positions or aggressive entry points.
5. Reversal Warnings: Purple triangles suggest potential reversals. Consider taking profits or tightening stops.
6. Dashboard Analysis: Use MTF dashboard to confirm signal alignment across timeframes. Green cells indicate bullish bias, red cells bearish bias.
7. Performance Monitoring: Track win rate and profit factor in real-time to validate your settings effectiveness.
IMPORTANT: Always wait for the candlestick to close before acting on a signal to ensure confirmation.
Multi-Timeframe Confirmation:
- Strong Signal: When 4-5 timeframes align in the MTF dashboard
- Moderate Signal: When 3 timeframes align
- Weak Signal: When only 1-2 timeframes align
Use the Stochastic Dashboard for additional confirmation of overbought/oversold conditions across multiple timeframes.
Additional Features
Session Highlighting: Visual session boxes for Asian, London, and New York sessions to identify optimal trading periods.
Signal Alternation Logic: Built-in protection against consecutive same-direction signals without opposing signal between them.
Custom Alerts: Set real-time alerts for Buy, Sell, Turbo, and Reversal signals. Use "Once Per Bar Close" for confirmed signals.
Tips for Best Results
Adjust Settings for Different Instruments: Forex pairs may require different settings than indices or cryptocurrencies due to varying volatility characteristics.
Time Frame Optimization: For scalping (1-5 min), use lower Fast Period values. For swing trading (H1-D1), increase both Fast and Slow periods.
Combine with Price Action: Use support/resistance levels and chart patterns to confirm signals.
Monitor Performance Stats: If win rate drops below 50%, consider adjusting Power Factor and ATR settings.
Volume Confirmation: Although not required, adding volume analysis can improve signal quality.
Free 7-DAY trial is available on request.
Refer to our website : www.sunsignalsystem.com for free trial subscription and technical handbooks
Important Notice
⚠ If you are new to trading and/or technical analysis, it's recommended to start with a demo account until you become familiar with the indicator before applying it to live trades.
The SUN Signal System is non-repainting, meaning signals do not change or disappear after the bar closes. While the indicator delivers Buy/Sell signals based on momentum and volatility analysis, it is essential to combine it with solid risk management and other forms of technical analysis. No indicator guarantees success, as markets are influenced by unpredictable events.
Risk Disclaimer: Trading involves substantial risk of loss. Past performance does not guarantee future results. This indicator is for educational purposes and should not be the sole basis for trading decisions.
EMA 50/200 Pullback + RSI (BTC/USDT 15m - 2 Bar Logic)I recognize that combining indicators requires clear justification on how the components interact Therefore the new scripts description will explicitly detail the strategys operational logic
Objective The strategy is a Trend Following Pullback System designed for high frequency time frames 15m
Synergy The EMA50 EMA200 defines the primary Trend Direction Trend Filter It then utilizes a 2 Bar Pullback Logic to find an entry point where the price has momentarily reversed against the trendline and the RSI 14 serves as a Momentum Filter RSI greater than 50 for Long RSI less than 50 for Short to minimize false signals
Ichimoku Multi-Timeframe Status (IMTF – VFG)-----------------------------
Overview
-----------------------------
This tool displays the status of key Ichimoku components (Tenkan, Kijun, and the Cloud) across multiple timeframes in a compact color-coded table. It helps traders quickly assess trend alignment and market structure without plotting the full Ichimoku on the chart.
👉 How to Read
✔ TK row:
Green = price above Tenkan
Red = price below Tenkan
✔ KJ row:
Green = price above Kijun
Red = price below Kijun
✔ KU row (Cloud):
Green = above the cloud
Red = below the cloud
Blue = inside the cloud
The KU row is highlighted for visibility.
👉 Usage
This indicator does not generate signals.
It simply summarizes Ichimoku conditions on several timeframes to help identify:
1️⃣ multi-timeframe trend alignment,
2️⃣ momentum vs. structure (TK vs. KJ),
3️⃣l cloud context for trend-following or structural analysis.
Alpha VWAP Regime🔥 Alpha VWAP Regime — Institutional VWAP Strategy (Closed Source)
Alpha VWAP Regime is a multi-layered VWAP trading system that identifies the active market regime and adapts its signals based on institutional liquidity behavior.
This strategy is closed-source because it uses a proprietary combination of VWAP structures, anchored pivot logic, band deviations, and regime detection filters that are not publicly available.
🧠 How the Strategy Works (Conceptual Explanation)
This strategy does not rely on a single VWAP line.
Instead, it builds a VWAP matrix consisting of:
1) Session VWAP
Defines fair value for the current session.
Used to detect intraday directional bias.
2) Anchored VWAP (AVWAP)
Automatically anchored to swing highs and lows (pivot-based).
Tracks where large players accumulated or distributed positions.
3) VWAP Bands (±1σ and ±2σ)
Used as dynamic volatility envelopes:
±1σ = fair-value zone / no-trade area
±2σ = mean-reversion extremes
4) Market Regime Classification (ADX-based)
The strategy determines which environment the market is in:
Trending Regime: ADX above threshold
Ranging Regime: ADX below threshold
Breakout Regime: Volume-based breakout of AVWAP
Each regime activates a different entry model.
📌 Entry Logic (High-Level Overview)
Trend Mode
Triggered only when ADX confirms a trend.
Entries occur near VWAP or −1σ using price-action confirmation.
Mean Reversion Mode
Activated when the market is ranging.
Entries target the ±2σ deviation bands.
Breakout Mode
Triggered by price crossing AVWAP with above-average volume.
Used to catch institutional continuation moves.
ALL Mode
Combines the three models for a full adaptive system.
📉 Exits & Risk Management
All stops and targets use ATR-based volatility sizing
Trend trades aim for larger targets
Mean-reversion trades aim for smaller snapback moves
Breakouts use wider stops but high R:R
🔍 How to Use the Strategy
Load the script on a clean chart
Choose your preferred regime mode (Trend / MR / Breakout / ALL)
Optionally hide VWAP indicators and display signals only
Use realistic position sizing and commissions
Evaluate performance across multiple assets and timeframes
🔒 Why It Is Closed-Source
The code uses:
A custom anchoring engine
Multi-layered regime filters
Dynamic VWAP matrix
Prop logic for bias scoring
These components were built from scratch and form a unique decision model, so the source is protected.
🇸🇦 الشرح العربي لاستراتيجية Alpha VWAP Regime
Alpha VWAP Regime هي استراتيجية تداول مؤسسية متقدمة تعتمد على تحليل السيولة، وتحديد حالة السوق (Market Regime)، ودمج عدة طبقات من VWAP داخل نموذج واحد متكيف.
الهدف من الاستراتيجية هو التداول في المناطق التي يتواجد فيها المال الذكي، وتجنب التداول في المناطق العشوائية أو منخفضة الجودة.
________________________________________
🧠 كيف تعمل الاستراتيجية؟
الاستراتيجية لا تعتمد على VWAP واحد، بل تستخدم “مصفوفة VWAP” كاملة تتكوّن من:
1) VWAP اليومي (Session VWAP)
يُستخدم لتحديد القيمة العادلة خلال الجلسة، وتحديد الاتجاه اللحظي (Intraday Bias).
________________________________________
2) VWAP المثبّت (Anchored VWAP)
يتم تثبيته تلقائيًا على:
• القمم المهمة (Swing Highs)
• القيعان المهمة (Swing Lows)
ويساعد في تحديد مناطق تمركز المؤسسات، ومناطق الانعكاس أو الاختراقات الحقيقية.
________________________________________
3) نطاقات VWAP (±1σ و ±2σ)
تُستخدم كأغلفة ديناميكية للسيولة والتقلب:
• ±1σ = منطقة القيمة العادلة (Fair-Value Zone)
→ غالبًا منطقة غير مناسبة للتداول (No-Trade Zone)
• ±2σ = مناطق التشبّع الحركي (Extremes)
→ مناسبة لاستراتيجيات الانعكاس (Mean Reversion)
________________________________________
4) تصنيف حالة السوق Market Regimes
الاستراتيجية تستخدم مؤشر ADX لتحديد حالة السوق الحالية:
حالة السوق الوصف
Trending اتجاه واضح وقوي
Ranging تذبذب بدون اتجاه
Breakout اختراق مدعوم بحجم تداول
كل Regime يفعّل نموذج دخول مختلف داخل الاستراتيجية.
________________________________________
🎯 نماذج الدخول داخل الاستراتيجية
1) نموذج الاتجاه (Trend Mode)
يعمل فقط عندما يكون السوق في اتجاه حقيقي.
يعتمد على دخول Pullbacks قرب VWAP أو نطاق −1σ مع تأكيد شموعي.
________________________________________
2) نموذج الانعكاس (Mean Reversion Mode)
يعمل فقط عندما يكون السوق متذبذبًا (Range).
الدخول عند لمس ±2σ بهدف العودة نحو VWAP.
________________________________________
3) نموذج الاختراق (Breakout Mode)
يستخدم اختراقات Anchored VWAP
ولكن بشرط وجود حجم تداول أعلى من المتوسط (Volume Confirmation).
________________________________________
4) وضع الدمج (ALL Mode)
يجمع بين النماذج الثلاثة ويجعل الاستراتيجية متكيفة تلقائيًا مع كل حالات السوق.
________________________________________
📉 الخروج وإدارة المخاطر
تستخدم الاستراتيجية نظامًا ديناميكيًا لإدارة المخاطر:
• وقف الخسارة مبني على ATR
• الأهداف مبنية على طبيعة النموذج
• الصفقات الاتجاهية تستهدف R:R أعلى
• صفقات MR أقصر وأسرع
• صفقات Breakout أوسع ولكن مدعومة بزخم قوي
________________________________________
🧩 كيفية استخدام الاستراتيجية
1. ضع الاستراتيجية على رسم بياني نظيف بدون مؤشرات إضافية
2. اختر نموذج الدخول المناسب من الإعدادات
3. فعّل أو أخفِ خطوط VWAP حسب الحاجة
4. استخدم إعدادات مخاطرة واقعية
5. اختبر الاستراتيجية على عدة أسواق وفريمات
________________________________________
🔒 سبب إغلاق الكود
تم إغلاق الكود لأنها تعتمد على:
• محرك تثبيت AVWAP خاص
• نظام Regime Detection متقدم
• مصفوفة VWAP متعددة الطبقات
• منطق دخول/خروج خاص تم تطويره بالكامل
كل ذلك يتطلب حماية الملكية الفكرية، لذا تم نشرها Closed-Source.
EMA Cross Strategy v5 (30 lots) (15 min candle only)- safe flip🚀 EMA Cross Strategy v5 (30 Lots) (15 min candle only)— Safe Flip Edition
Fully Automated | Fast | Reliable | Battle-tested
Welcome to a clean, powerful, and automation-friendly EMA crossover system.
This strategy is built for traders who want consistent trend-based entries without the risk of unwanted pyramiding or doubled positions.
🔥 How It Works
This strategy uses a fast EMA (10) crossing a slow EMA (20) to detect trend shifts:
Bullish Crossover → LONG (30 lots)
Bearish Crossover → SHORT (30 lots)
Every opposite signal safely flips the position by first closing the current trade, then opening a fresh position of exactly 30 lots.
No doubling.
No runaway position size.
No surprises.
Just clean, mechanical trend-following.
📈 Why This Strategy Stands Out
Unlike basic EMA crossbots, this version:
✔ Prevents unintended pyramiding
✔ Never over-allocates capital
✔ Works perfectly with webhook-based automation
✔ Produces stable, systematic entries
✔ Executes directional flips with precision
🔍 Backtest Highlights (1-Year)
(Backtests will vary by instrument/timeframe)
1,500+ trades executed
Profit factor above 1.27
Strong trend performance
Balanced long/short behavior
No margin calls
Consistent trade execution
This strategy thrives in trending markets and maintains strict discipline even in choppy conditions.
⚙️ Automation Ready
Designed for automated execution via webhook and API setups on supported platforms.
Just connect, run, and let the bot follow the rules without hesitation.
No emotions.
No overtrading.
No fear or greed.
Pure logic.
Swing Wicks + Bodies; Stolen from LeviathanSwing Wicks + Bodies — Stolen from Leviathan
This indicator automatically detects swing highs and lows by separating wick swings from body swings, providing a precise view of liquidity zones on the chart.
It draws:
• wick-based swing levels
• body-based swing levels
• dynamic liquidity boxes showing unfilled price zones
• touch counters (T1, T2, T3…)
• optional HTF levels (H1/H4…) for multi-timeframe context
Included features:
• hide filled levels
• keep only the most recent unfilled levels
• full customization (colors, line styles, text size, minimum box height)
• optional “extend until filled” mode
• volume threshold filter
• lookback limitation (history in days)
MACD Range Detector by SimonezziKey Features:
Range Detection: Identifies sideways markets by analyzing MACD flatness, histogram behavior, and MACD-Signal convergence
Visual Alerts: Colors the background orange during ranging periods, blue during trends
Labels: Marks when the market enters/exits ranging conditions
Statistics Table: Shows real-time metrics (top-right corner)
Built-in Alerts: Set alerts for range detection and trend resumption
MACD Panel: Optional display of MACD components with range highlighting
The indicator works best on higher timeframes (1H, 4H, Daily) for more reliable range detection. Orange background = ranging market, Blue labels = trend resuming.
TargetSniper (Core)TargetSniper – Technical Exit & Target Framework
Description
TargetSniper is a technical analysis tool designed to help traders structure their trade exits, stop-loss placement, and profit-target planning.
The script combines trend detection, breakout identification, and volatility-based projection levels into a single visual framework.
It does not attempt to predict market outcomes; instead, it organizes real-time data into clear reference points that can support discretionary decision-making.
How It Works (Conceptual Overview)
1. Trend Structure
The indicator measures short-term and mid-term price structure to determine the prevailing directional bias.
This is done by comparing recent price movement, slope changes, and dynamic support/resistance behavior.
Based on this, the chart displays a directional color signal.
2. Breakout Detection
When price moves beyond a locally defined structure — such as a pivot, compression range, or micro-trend line — the script highlights a potential breakout zone.
If conditions are met, a BUY or SELL label is plotted to mark the event.
These labels are informational only and do not guarantee trend continuation.
3. Stop-Loss Reference Line
The script draws a dynamic reference line derived from trend structure.
Traders may use this line as a potential area for stop-loss placement; this is only a structural guide, not a fixed rule.
4. Volatility-Based Target Levels (T1 / T2 / T3)
TargetSniper calculates three potential profit-taking levels using recent volatility expansion.
These projections adapt to the market environment and aim to provide traders with reference points for partial exits or risk-to-reward evaluation.
5. Risk-to-Reward Evaluation
Because the entry label typically appears near the trend structure, traders can visually estimate the distance between:
the suggested breakout level,
the stop-loss reference,
and the projected targets.
This can help assess whether a trade setup offers a favorable risk-to-reward ratio.
How to Use
Check the Trend Color
Identifies the current directional bias.
Monitor Breakout Signals
Labels appear when price breaks out of a local pattern based on the script's structure-detection logic.
Evaluate Stop-Loss Placement
Use the trend reference line as a potential SL guide.
Plan Exits Using Target Levels
T1, T2, and T3 provide volatility-based projection zones.
Assess Overall Trade Quality
Compare distance to SL vs. distance to target levels to understand potential risk-to-reward.
Notes
The script does not provide financial advice.
Market conditions can change rapidly, and past behavior does not guarantee future outcomes.
All signals and levels are technical references only and should be used with independent judgment.
Fractal Levels Monitor w/ Trade Lines (ChadAnt) v2Small update. Prevents the break candle from getting another signal after the first buy/sell signal detected.
1. Fractal Level Detection
The indicator identifies Fractals, which are simply a series of bars where the center bar has the highest high (Bearish Fractal) or the lowest low (Bullish Fractal) compared to a set number of bars on either side (determined by the "Fractal Period" input, usually 2 to 5 bars).
Bullish Fractal Level (Support): The indicator plots a horizontal line at the lowest low of the most recently formed Bullish Fractal.
Bearish Fractal Level (Resistance): It plots a horizontal line at the highest high of the most recently formed Bearish Fractal.
2. The "Cross Candle" Event
The core idea isn't to trade the fractal itself, but the reaction after the fractal level is broken.
When the price breaks and closes through the established Bullish Level (support) or Bearish Level (resistance), that bar is marked as the Cross Candle.
This Cross Candle's High and Low are saved. This is the "setup" for the trade.
3. The Trade Signal (Entry Trigger)
A trade is only taken when the price breaks the extreme (High or Low) of the Cross Candle.
Buy Signal: The trade is entered long if the price breaks above the High of the Cross Candle.
Sell Signal: The trade is entered short if the price breaks below the Low of the Cross Candle.
Supply & Demand ZonesThis indicator detects high-probability supply and demand zones using a multi-step smart money concept approach:
Liquidity Sweep Detection: Identifies when price sweeps above a pivot high (supply setup) or below a pivot low (demand setup), capturing liquidity grabs by institutional traders.
Displacement Confirmation: Requires a strong displacement candle (measured by ATR and body percentage) or fair value gap (FVG/imbalance) in the opposite direction after the sweep.
Volume Confirmation: Optional filter ensures zones form only when volume exceeds the user-defined threshold, indicating institutional participation.
Smart Filtering: Built-in logic prevents overlapping zones, enforces minimum spacing between signals, and requires confirmation bars to eliminate false signals.
Zone Lifecycle Management: Zones are automatically removed when price closes through them with momentum. Breached zones can optionally "flip" to the opposite type when re-tested with strong displacement.
✨ Key Features
Clean Visual Display: Small "D" (Demand) and "S" (Supply) labels with shaded zone boxes
Non-Repainting: All signals use confirmed historical data—no lookahead or repainting
Volume Filter: Optional confirmation using volume spike detection
Zone Flip Logic: Breached demand zones can become supply (and vice versa) when violated
Overlap Prevention: Smart algorithm prevents clustered or duplicate zones
Confirmation Delay: Configurable wait period after sweep to confirm genuine setups
Customizable Inputs: Adjust pivot sensitivity, displacement thresholds, volume filters, and more
Alert Ready: Built-in alert conditions for new supply and demand zone formations
🎯 How to Add to Your Chart
Favorite the Indicator: Click the star icon to add this script to your favorites
Open Your Chart: Navigate to the asset and timeframe you want to trade (works best on 5m-1H intraday charts)
Add Indicator: Click "Indicators" at the top, search for "Supply & Demand Zones (Smart Filtered)", and add to chart
Customize Settings: Click the gear icon ⚙️ to adjust inputs based on your trading style and instrument volatility
Set Alerts: Right-click the indicator name → "Add alert" → Select "Supply Zone" or "Demand Zone" conditions
📖 How to Use
Demand Zones (Green "D" Labels):
Price swept below a swing low (liquidity grab)
Strong bullish displacement or imbalance followed
Trading Action: Look for LONG entries when price returns to the zone or on immediate continuation
Stop Loss: Place just below the zone or sweep low
Target: Next resistance level, supply zone, or risk-reward ratio target
Supply Zones (Red "S" Labels):
Price swept above a swing high (liquidity grab)
Strong bearish displacement or imbalance followed
Trading Action: Look for SHORT entries when price returns to the zone or on immediate continuation
Stop Loss: Place just above the zone or sweep high
Target: Next support level, demand zone, or risk-reward ratio target
Flipped Zones (Orange Labels):
Previous demand/supply zone was broken with strong momentum
Zone has flipped polarity and may now act as the opposite type
Trading Action: Exercise caution—wait for additional confirmation before trading flipped zones
🔍 What to Look For
High-Quality Setups:
Zone forms with above-average volume (check volume filter is enabled)
Clear liquidity sweep visible on the chart
Strong displacement candle with large body percentage
Zone aligns with overall market trend or key structure levels
Multiple timeframe confirmation (check higher timeframe for context)
Avoid These Setups:
Zones forming in choppy, low-volume conditions
Multiple overlapping zones in the same area (indicator filters these automatically)
Zones that appear immediately after news events (set confirmation bars higher)
Counter-trend zones without additional confluence
⚙️ Recommended Settings by Timeframe
5-Minute Charts (Scalping):
Pivot Lookback: 3/3
Min Displacement ATR: 0.9
Confirmation Bars: 1
Min Zone Spacing: 3-5 bars
Volume Threshold: 1.2x
15-Minute Charts (Intraday):
Pivot Lookback: 4/4 (default)
Min Displacement ATR: 1.0 (default)
Confirmation Bars: 2 (default)
Min Zone Spacing: 5-8 bars
Volume Threshold: 1.2x
1-Hour Charts (Swing Trading):
Pivot Lookback: 5/5
Min Displacement ATR: 1.2-1.5
Confirmation Bars: 3
Min Zone Spacing: 8-12 bars
Volume Threshold: 1.3x
💡 Trading Tips & Best Practices
Combine with Price Action: Use this indicator alongside candlestick patterns, support/resistance, and trendlines for confirmation
Multiple Timeframe Analysis: Check higher timeframes for overall bias and major zones
Volume is Key: Enable volume filter to focus on institutional-backed moves
Risk Management: Always use stop losses and proper position sizing
Backtesting: Test settings on your preferred instruments and timeframes before live trading
Context Matters: Consider market conditions, news events, and session times
Wait for Confirmation: Don't rush entries—wait for price reaction at the zone
⚠️ Important Disclaimers
Educational Purpose Only: This indicator is provided for educational and informational purposes. It does not constitute financial advice, investment recommendations, or trading signals.
No Guarantees: Past performance and backtested results do not guarantee future results. Trading involves substantial risk of loss.
Fractal Levels Monitor w/ Trade Lines (ChadAnt)1. Fractal Level Detection
The indicator identifies Fractals, which are simply a series of bars where the center bar has the highest high (Bearish Fractal) or the lowest low (Bullish Fractal) compared to a set number of bars on either side (determined by the "Fractal Period" input, usually 2 to 5 bars).
Bullish Fractal Level (Support): The indicator plots a horizontal line at the lowest low of the most recently formed Bullish Fractal.
Bearish Fractal Level (Resistance): It plots a horizontal line at the highest high of the most recently formed Bearish Fractal.
2. The "Cross Candle" Event
The core idea isn't to trade the fractal itself, but the reaction after the fractal level is broken.
When the price breaks and closes through the established Bullish Level (support) or Bearish Level (resistance), that bar is marked as the Cross Candle.
This Cross Candle's High and Low are saved. This is the "setup" for the trade.
3. The Trade Signal (Entry Trigger)
A trade is only taken when the price breaks the extreme (High or Low) of the Cross Candle.
Buy Signal: The trade is entered long if the price breaks above the High of the Cross Candle.
Sell Signal: The trade is entered short if the price breaks below the Low of the Cross Candle.
SOZAY Advanced Trend Lines v6“SOZAY Advanced Trend Lines v6”
It automatically draws on the chart:
Downtrends (pivot high → lower new high)
Uptrends (pivot low → higher new low)
It can place H (High) and L (Low) labels on pivot points.
The most recent trend line is solid, and older ones can be shown as dashed if you want.
To avoid too many lines, it only keeps the last X trends (you set this value).
What do the settings mean?
Left Bars / Right Bars
Defines how many bars to the left and right must be lower/higher for a bar to be considered a pivot.
Higher values = fewer but “bigger” trends.
Lower values = more frequent, shorter-term trends.
Maximum number of trends to draw
The maximum number of trend lines that will be kept on the chart (e.g. 50).
Show Pivot H / L labels
Turns the H and L labels on or off.
Draw downtrends (High)
Enables or disables downtrend lines that start from pivot highs.
Draw uptrends (Low)
Enables or disables uptrend lines that start from pivot lows.
Uptrend / Downtrend color
The colors of the lines (typically green for up, red for down).
Show old lines as dashed
The newest trend line is solid; the previous line(s) of the same type are shown as dashed.
In summary:
This script automatically draws all possible uptrends and downtrends using pivot logic so you don’t have to draw trend lines manually. You just use the settings to decide how selective it should be.
ICT/SMC DOL Detector PRO (Final)This indicator is designed to operate only on the 1-hour timeframe.
The ICT/SMC DOL Detector PRO is an educational indicator designed to identify and visualize Draw on Liquidity (DOL) levels across multiple time-frames. It tracks unmitigated daily highs and lows, clusters them into zones, and calculates confidence scores based on multiple factors including time decay, cluster size, and time-frame alignment.
This indicator is based on ICT (Inner Circle Trader) concepts and liquidity theory, which suggests that price tends to seek out areas of concentrated unfilled orders before reversing or continuing its trend.
What is a DOL (Draw on Liquidity)?
A Draw on Liquidity represents a daily high or low that has not been revisited (mitigated) by price. These levels act as "magnets" that draw price toward them because:
1. They represent untapped liquidity pools where unfilled orders exist
2. Market makers and institutions often target these levels to fill large orders
3. Price is drawn to these zones to clear pending orders
4. They can serve as potential reversal or continuation zones once liquidity is taken
Methodology
1. Level Tracking
The indicator monitors daily session highs and lows on the 1-hour time-frame, tracking:
- Session high price and time of formation
- Session low price and time of formation
- Whether each level has been breached (mitigated)
- Time elapsed since level formation
2. Clustering Algorithm
Unmitigated levels within a defined tolerance (default 0.5% of price) are grouped together to identify zones where multiple DOLs cluster. Larger clusters indicate stronger liquidity pools.
3. Confidence Scoring (The "AI" Logic)
Each DOL receives a confidence score (0-100%) based on three weighted factors. This is the core "AI" intelligence of the indicator:
**Factor 1: Cluster Size (50% weight)**
- Counts how many unmitigated levels exist within 0.5% of the price zone
- Formula: (levels_in_cluster / total_unmitigated_levels) × 50
- Logic: More unfilled orders clustered together = stronger liquidity pool = higher confidence
- Example: If 5 out of 10 total unmitigated levels cluster at 27,500, cluster score = (5/10) × 50 = 25%
**Factor 2: Time Decay (25% weight)**
- Calculates age of the level since formation
- Fresh levels (< 1 week old): Full 25% score
- Aging penalty: Loses 5% per week of age
- Maximum penalty: 25% (very old levels = 0% time score)
- Formula: max(0, 25 - (weeks_old × 5))
- Logic: Recent liquidity is more relevant than old liquidity that price has ignored for months
**Factor 3: Timeframe Alignment (25% weight)**
- Checks how many timeframes (1H, 4H, D1, W1) point in the same direction
- If multiple timeframes identify DOLs on the same side (all bullish or all bearish): Higher score
- If mixed signals: Lower score
- Formula: (aligned_timeframes / total_timeframes) × 25
- Logic: When multiple timeframes agree, the liquidity zone is validated across different time perspectives
**Total Confidence Score:**
```
Confidence = Cluster_Score + Time_Score + Alignment_Score
= (0-50%) + (0-25%) + (0-25%)
= 0-100%
```
**Example Calculation:**
```
DOL at 27,500:
- 6 out of 12 unmitigated levels cluster here → (6/12) × 50 = 25%
- Level is 2 weeks old → 25 - (2 × 5) = 15%
- 3 out of 4 timeframes bullish toward this level → (3/4) × 25 = 18.75%
- Total Confidence = 25% + 15% + 18.75% = 58.75% ≈ 59%
```
This mathematical approach removes subjectivity and provides objective, data-driven confidence scoring.
4. Multi-Timeframe Analysis
The indicator analyzes DOLs across four timeframes:
- **1H:** Intraday levels (fastest reaction)
- **4H:** Short-term swing levels
- **Daily:** Intermediate-term levels
- **Weekly:** Long-term structural levels
For each timeframe, it identifies:
- Highest confidence unmitigated high
- Highest confidence unmitigated low
- Directional bias (bullish if high > low confidence, bearish if low > high confidence)
5. Primary DOL Selection (AI Auto-Selection Logic)
When "Show AI DOL" is enabled, the indicator uses an automated selection algorithm to identify the most important targets:
**Step 1: Collect All Candidates**
The algorithm gathers all identified DOLs from all timeframes (1H, 4H, D1, W1) that meet minimum criteria:
- Must be unmitigated (not yet swept)
- Must have confidence score > 0%
- Must have at least 1 level in cluster
**Step 2: Calculate Confidence for Each**
Each candidate DOL receives its confidence score using the three-factor formula described above (Cluster + Time + Alignment).
**Step 3: Sort by Confidence**
All candidates are ranked from highest to lowest confidence score.
**Step 4: Select Primary and Secondary**
- **P1 (Primary DOL):** The DOL with the absolute highest confidence score
- **P2 (Secondary DOL):** The DOL with the second highest confidence score
**Why This Matters:**
Instead of manually scanning multiple timeframes and guessing which level is most important, the AI objectively identifies the two highest-probability liquidity targets based on quantifiable data.
**Example AI Selection:**
```
Available DOLs:
- 1H High: 27,400
- 4H High: 27,500
- D1 High: 27,500 ← P1 (Highest)
- W1 High: 27,650 ← P2 (Second Highest)
- 1H Low: 26,800
- D1 Low: 26,500
AI Selection:
P1 = 27,500 (Daily High with 92% confidence)
P2 = 27,650 (Weekly High with 88% confidence)
```
This provides a data-driven target selection rather than subjective manual interpretation. The AI removes emotion and bias, selecting targets based purely on mathematical probability.
Features
Why "AI" DOL?
The term "AI" in this indicator refers to the automated algorithmic selection process, not machine learning or neural networks. Specifically:
**What the AI Does:**
- Automatically evaluates all available DOLs across all timeframes
- Applies a weighted scoring algorithm (Cluster 50%, Time 25%, Alignment 25%)
- Objectively ranks DOLs by probability
- Selects the top 2 highest-confidence targets (P1 and P2)
- Removes human bias and emotion from target selection
**What the AI Does NOT Do:**
- It does not use machine learning or train on historical data
- It does not predict future price movements
- It does not adapt or "learn" over time
- It does not guarantee accuracy
The "AI" is simply an automated decision-making algorithm that applies consistent mathematical rules to identify the most statistically significant liquidity zones. Think of it as a "smart filter" rather than artificial intelligence in the traditional sense.
Visual Components
**Daily Level Lines:**
- Green lines: Unmitigated (not yet breached) levels
- Red lines: Mitigated (already breached) levels
- Dots at origin point showing where level was formed
- X marker when level gets breached
- Lines extend forward to show projection
**DOL Labels:**
- Display timeframe (1H, 4H, D1, W1) or "DOL" for AI selection
- Show confidence percentage in brackets
- Color-coded by timeframe:
- Lime: AI DOL (Smart selection)
- Aqua: 1-hour timeframe
- Blue: 4-hour timeframe
- Purple: Daily timeframe
- Orange: Weekly timeframe
**Info Box (Top Right):**
Displays comprehensive liquidity metrics:
- Total levels tracked
- Active (unmitigated) levels count
- Cleared (mitigated) levels count
- Flow direction (BID PRESSURE / OFFER PRESSURE)
- Most recent sweep
- Primary and Secondary DOL targets
- Multi-timeframe bias analysis
- Overall directional bias
Settings Explained
**Daily Levels Group:**
- Show Daily Highs/Lows: Toggle visibility of all daily level tracking
- Unbreached Color: Color for levels not yet hit
- Breached Color: Color for levels that have been swept
- Show X on Breach: Display marker when level is breached
- Show Dot at Origin: Display marker at level formation point
- Line Width: Thickness of level lines (1-5)
- Line Extension: How many bars forward to project (1-24)
- Max Days to Track: Historical lookback period (5-200 days)
**DOL Settings Group:**
- Cluster Tolerance %: Price range to group DOLs (0.1-2.0%)
- Show Price on Labels: Display actual price value on labels
- Backtest Mode: Only show recent labels for clean historical analysis
- Labels Lookback: Number of bars to show labels when backtesting (10-500)
**Info Box Group:**
- Show Info Box: Toggle info panel visibility
**DOL Toggles Group:**
- Show AI DOL: Display smart auto-selected primary target
- Show 1HR DOL: Display 1-hour timeframe DOLs
- Show 4HR DOL: Display 4-hour timeframe DOLs
- Show Daily DOL: Display daily timeframe DOLs
- Show Weekly DOL: Display weekly timeframe DOLs
**Advanced Group:**
- Manual Mode: Simplified display showing only daily high/low clusters
How to Use This Indicator
Educational Application
This indicator is intended for educational purposes to help traders:
1. **Understand Liquidity Concepts:** Visualize where unfilled orders may exist
2. **Identify Key Levels:** See where price may be drawn to
3. **Analyze Market Structure:** Understand how price interacts with liquidity
4. **Study Multi-Timeframe Alignment:** Observe when multiple timeframes agree
5. **Learn ICT Concepts:** Apply liquidity theory in practice
Interpretation Guidelines
**BID PRESSURE (Flow):**
When lows are being swept more than highs, it suggests:
- Sell-side liquidity being taken
- Potential for upward move to unfilled buy-side liquidity
- Market may be clearing the way for a bullish move
**OFFER PRESSURE (Flow):**
When highs are being swept more than lows, it suggests:
- Buy-side liquidity being taken
- Potential for downward move to unfilled sell-side liquidity
- Market may be clearing the way for a bearish move
**Confidence Scores:**
- 90-100%: Very high probability zone (strong cluster, recent, aligned)
- 80-89%: High probability zone (good cluster, relatively recent)
- 70-79%: Moderate probability zone (decent cluster or older)
- 60-69%: Lower probability zone (small cluster or very old)
- Below 60%: Weak zone (minimal confluence)
**Timeframe Analysis:**
- All timeframes LONG: Strong bullish alignment
- All timeframes SHORT: Strong bearish alignment
- Mixed: Conflicting signals, exercise caution
- Higher timeframes (D1, W1) carry more weight than lower (1H, 4H)
**DIRECTIONAL Indicator:**
- BULLISH: Overall bias suggests upward movement toward buy-side DOLs
- BEARISH: Overall bias suggests downward movement toward sell-side DOLs
- NEUTRAL: No clear directional bias, conflicting signals
Practical Application Examples
**Example 1: Bullish Setup**
```
Flow: BID PRESSURE (lows being swept)
P1: 27,500 (price above current market)
D1: LONG 27,500
W1: LONG 27,650
DIRECTIONAL: BULLISH
```
Interpretation: Price has cleared sell-side liquidity. High confidence buy-side DOL at 27,500. Daily and Weekly timeframes aligned bullish. Watch for move toward 27,500 target.
**Example 2: Bearish Setup**
```
Flow: OFFER PRESSURE (highs being swept)
P1: 26,200 (price below current market)
D1: SHORT 26,200
W1: SHORT 26,100
DIRECTIONAL: BEARISH
```
Interpretation: Price has cleared buy-side liquidity. High confidence sell-side DOL at 26,200. Daily and Weekly timeframes aligned bearish. Watch for move toward 26,200 target.
**Example 3: Mixed Signals - Wait**
```
Flow: BID PRESSURE
P1: 26,800
D1: LONG 27,000
W1: SHORT 26,200
DIRECTIONAL: NEUTRAL
```
Interpretation: Conflicting signals. Flow suggests up, but Weekly bias is down. Confidence scores moderate. Better to wait for clarity.
Important Considerations
This Indicator Does NOT:
- Predict the future
- Guarantee profitable trades
- Provide buy/sell signals
- Replace proper risk management
- Work in isolation without other analysis
This Indicator DOES:
- Visualize liquidity concepts
- Identify potential target zones
- Show timeframe alignment
- Calculate objective confidence scores
- Help understand market structure
Proper Usage:
1. Use as one component of a complete trading strategy
2. Combine with price action analysis
3. Confirm with other technical indicators
4. Consider fundamental factors
5. Always use proper risk management
6. Backtest any strategy before live trading
Risk Disclaimer
**FOR EDUCATIONAL PURPOSES ONLY**
This indicator is for educational purposes only. Trading financial markets involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own research and consult with a financial advisor before making trading decisions.
**Important Limitations:**
- No indicator is 100% accurate, including the AI selection
- The "AI" is an automated algorithm, not predictive artificial intelligence
- DOL levels can be swept and price can continue in the same direction
- Confidence scores are mathematical calculations, not predictions or probabilities of success
- High confidence does not mean guaranteed profit
- Markets can remain irrational longer than you can remain solvent
- Always use stop losses and proper position sizing
**Understanding the AI Component:**
The AI auto-selection feature uses a fixed mathematical formula to rank DOLs. It does not:
- Predict where price will go
- Learn from past performance
- Adapt to market conditions
- Guarantee any level of accuracy
The confidence score represents the mathematical strength of a liquidity cluster based on objective factors (cluster size, recency, timeframe alignment), NOT a probability of the trade succeeding.
**Risk Warning:**
Trading is risky. Most traders lose money. This indicator cannot change that fundamental reality. Use it as an educational tool to understand market structure, not as a trading signal or system.
Technical Requirements
- **Timeframe:** Best used on 1-hour charts (required for accurate daily level tracking)
- **Markets:** Works on any market (forex, crypto, stocks, futures, indices)
- **Updates:** Real-time calculation on each bar close
- **Resources:** Uses max 500 lines and 500 labels (TradingView limits)
Backtesting Features
The indicator includes "Backtest Mode" to keep historical charts clean:
- When enabled, only shows labels from recent bars
- Adjustable lookback period (10-500 bars)
- All lines remain visible
- Helps review past setups without clutter
To use:
1. Enable "Backtest Mode" in settings
2. Adjust "Labels Lookback" to desired period
3. Review historical price action
4. Disable for live trading
Credits and Methodology
This indicator implements concepts from:
- ICT (Inner Circle Trader) liquidity theory
- Smart Money Concepts (SMC)
- Order flow analysis
- Multi-timeframe analysis principles
The clustering algorithm, confidence scoring, and timeframe synthesis are original implementations designed to quantify and visualize these concepts.
Version History
**v1.0 - Initial Release**
- Multi-timeframe DOL detection
- Confidence scoring system
- Info box with liquidity metrics
- Backtest mode for clean charts
- Black/white professional theme
Support and Updates
For questions, feedback, or suggestions, please use the TradingView comments section. Updates and improvements will be released as needed based on user feedback and market evolution.
**Remember:** This is an educational tool. Successful trading requires knowledge, discipline, risk management, and continuous learning. Use this indicator to enhance your understanding of market structure and liquidity, not as a standalone trading system.
IMS 4H Structural Framework (MA / Pivot / MTF Levels)IMS 4H Structural Framework (MA / Pivot / MTF Levels)
✅ SHORT, COMPLIANT DESCRIPTION (Invite-Only Safe)
Description:
This tool visualizes a 4H Institutional Market Structure (IMS) framework by combining three workflow components into a single structural map—MA-based bias shifts, pivot-derived 4H trendlines, and multi-timeframe (1H/45m) structural levels.
It does not generate signals or performance claims.
The framework is designed purely for visual, discretionary analysis of structural flow, risk context, and higher-timeframe alignment.
Core Components:
• 4H Bias Shift (MA): Highlights directional bias transitions.
• 4H Trendlines (Pivot-Based): Shows structural slopes and reaction zones.
• MTF Levels (1H & 45m): Adds micro-structure inside the 4H box for refinement.
• Caution Zones: Marks potential reaction areas near support/resistance or trendlines.
• Dashboard: Displays bias context and educational guidance only.
Intended Use:
For traders who analyze 4H structural flow and wish to visualize bias, context, and multi-timeframe alignment—not for automation or signals.
________________________________________
✅ SHORT, SAFE DISCLAIMER (Invite-Only Approved)
Disclaimer:
This tool is for educational and informational purposes only.
It does not provide trading signals, financial advice, or performance guarantees.
All decisions remain solely with the user.
3 Band Volume matched Candles3 Band Volume matched Candles– is a clean, high-signal volume-based candle colouring system designed to highlight the extremes of market participation. Instead of using complex multi-band gradients, this simplified version focuses on what truly matters to scalpers and intraday traders:
🔵 Very Weak Volume (Exhaustion)
Shows when the market is running out of participation. These candles often appear near tops, stalled moves, fake breakouts, and areas where liquidity is drying up. Perfect for spotting potential reversals or rug-pull conditions.
⚪ Normal Volume (Baseline Flow)
Represents regular market activity. These neutral candles keep the chart clean and make the extremes stand out instantly.
🟥 Neon Hot-Red (High-Impact Volume)
Highlights moments of significant volume — intervention, aggression, absorption, stop hunts, or strong rejection wicks. These candles are critical for identifying real moves vs. fake ones, spotting wickbacks, and confirming momentum shifts.
Why This Tool Works
By focusing only on the very low and very high ends of market volume, the indicator cuts through noise and exposes the true behaviour behind each candle. Traders can instantly see:
When a move is losing strength
When a trend is topping or stalling
When big volume enters the market
When a wickback is driven by strong rejection
Whether a breakout is real or weak
When reversals are highly probable
This makes it ideal for scalpers, and anyone who trades fast-moving instruments
Customisation
Fully customisable weak/normal and normal/strong thresholds
User-defined colours for each band
Brightness control
Borders-only mode
Adjustable fill opacity
Optional corner legend for clarity
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate.
Below, I show you a simple bullish trend-following system with clear execution rules:
System Rules
-Long entries when the 50-period EMA crosses above the 200-period EMA.
-Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA.
Risk Management
-Initial capital: $10,000
-Position size: 10% of capital per trade
-Commissions: 0.1% per trade
Important Note:
In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility.
Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility.
For example, we can maintain a fixed loss percentage when volatility is low by using the following formula:
Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss
And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly.
Practical example:
Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%):
23.57% − 15% = 8.57%
Now suppose we normally use $200 per trade.
To calculate 8.57% of $200:
200 × (8.57 / 100) = $17.14
Then subtract that amount from the original position size:
$200 − $17.14 = $182.86
In summary:
If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings.
I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account.
About the code:
Strategy declaration:
The strategy is named 'Golden Cross 50/200 EMA'.
overlay=true means it will be drawn directly on the price chart.
initial_capital=10000 sets the initial capital to $10,000.
default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity.
margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required).
commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade.
Indicators:
Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200).
Crossover detection:
bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross).
bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross).
Recent swing:
swingLow calculates the lowest low of the previous 15 periods.
Stop Loss:
entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs.
Entry and exit conditions:
Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened.
Exit on opposite signal: When a bearCross occurs, the long position is closed.
Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed.
Visualization:
Both EMAs are plotted (50-period in blue, 200-period in red).
Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross.
A horizontal orange line is drawn that shows the stop loss level whenever a position is open.
Alerts:
Alerts are created for:Long entry
Exit on bearish crossover (Death Cross)
Exit triggered by stop loss
Favorable Conditions:
Tesla (45-minute timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $12,458.73 or +124.59%
Maximum drawdown: $1,210.40 or 8.29%
Total trades: 107
Winning trades: 27.10% (29/107)
Profit factor: 3.141
Tesla (1-hour timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $7,681.83 or +76.82%
Maximum drawdown: $993.36 or 7.30%
Total trades: 75
Winning trades: 29.33% (22/75)
Profit factor: 3.157
Netflix (45-minute timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,380.73 or +113.81%
Maximum drawdown: $699.45 or 5.98%
Total trades: 134
Winning trades: 36.57% (49/134)
Profit factor: 2.885
Netflix (1-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,689.05 or +116.89%
Maximum drawdown: $844.55 or 7.24%
Total trades: 107
Winning trades: 37.38% (40/107)
Profit factor: 2.915
Netflix (2-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $12,807.71 or +128.10%
Maximum drawdown: $866.52 or 6.03%
Total trades: 56
Winning trades: 41.07% (23/56)
Profit factor: 3.891
Meta (45-minute timeframe)
May 18, 2012 – November 17, 2025
Total net profit: $2,370.02 or +23.70%
Maximum drawdown: $365.27 or 3.50%
Total trades: 83
Winning trades: 31.33% (26/83)
Profit factor: 2.419
Apple (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,232.55 or +80.59%
Maximum drawdown: $581.11 or 3.16%
Total trades: 140
Winning trades: 34.29% (48/140)
Profit factor: 3.009
Apple (1-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $9,685.89 or +94.93%
Maximum drawdown: $374.69 or 2.26%
Total trades: 118
Winning trades: 35.59% (42/118)
Profit factor: 3.463
Apple (2-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,001.28 or +77.99%
Maximum drawdown: $755.84 or 7.56%
Total trades: 67
Winning trades: 41.79% (28/67)
Profit factor: 3.825
NVDA (15-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $11,828.56 or +118.29%
Maximum drawdown: $1,275.43 or 8.06%
Total trades: 466
Winning trades: 28.11% (131/466)
Profit factor: 2.033
NVDA (30-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $12,203.21 or +122.03%
Maximum drawdown: $1,661.86 or 10.35%
Total trades: 245
Winning trades: 28.98% (71/245)
Profit factor: 2.291
NVDA (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $16,793.48 or +167.93%
Maximum drawdown: $1,458.81 or 8.40%
Total trades: 172
Winning trades: 33.14% (57/172)
Profit factor: 2.927
7 EMA Cross StrategyKhanaal Traders.7 EMA Cross Strategy is a visual tool designed to display a structured group of seven Exponential Moving Averages (EMAs) and highlight moments when these averages form specific alignment conditions. The script supports two optional interpretation modes:
• A sequential alignment mode, where EMAs arrange themselves in order relative to one another.
• A multi-step pattern mode, where the chart price interacts with all EMAs while alignment is present.
The script includes adjustable periods for each EMA, customizable colors, and optional multi-timeframe filtering, allowing users to compare alignment conditions between a higher timeframe and the chart’s timeframe. It also provides optional markers that appear when alignment begins, when alignment is lost and regained, or when repetitive markers are allowed.
Additional features include:
• Individual EMA visibility toggles
• Background highlighting based on alignment conditions
• Optional retest-based marker behavior
• Optional alert conditions tied to alignment events
This tool is intended to help users observe EMA structure, visualize trend organization, and study how multiple EMAs behave together across different timeframes.
