Aladin Pair Trading System v1Aladin Pair Trading System v1
What is This Indicator?
The Aladin Pair Trading System is a sophisticated tool designed to help traders identify profitable opportunities by comparing two related stocks that historically move together. Think of it as finding when one twin is running ahead or lagging behind the other - these moments often present trading opportunities as they tend to return to moving together.
Who Should Use This?
Beginners: Learn about statistical arbitrage and pair trading
Intermediate Traders: Execute mean-reversion strategies with confidence
Advanced Traders: Fine-tune parameters for optimal pair relationships
Portfolio Managers: Implement market-neutral strategies
💡 What is Pair Trading?
Imagine two ice cream shops next to each other. They usually have similar customer traffic because they're in the same area. If one day Shop A is packed while Shop B is empty, you might expect this imbalance to correct itself soon.
Pair trading works the same way:
You find two stocks that normally move together (like TCS and Infosys)
When one stock moves too far from the other, you trade expecting them to realign
You buy the lagging stock and sell the leading stock
When they come back together, you profit from both sides
Key Features
1. Z-Score Analysis
What it is: A statistical measure showing how far the price relationship has deviated from normal
What it means:
Z-Score near 0 = Normal relationship
Z-Score at +2 = Stock A is expensive relative to Stock B (Sell A, Buy B)
Z-Score at -2 = Stock A is cheap relative to Stock B (Buy A, Sell B)
2. Multiple Timeframe Analysis
Long-term Z-Score (300 bars): Shows the big picture trend
Short-term Z-Score (100 bars): Shows recent movements
Signal Z-Score (20 bars): Generates quick trading signals
3. Statistical Validation
The indicator checks if the pair is suitable for trading:
Correlation (must be > 0.7): Confirms the stocks move together
1.0 = Perfect positive correlation
0.7 = Strong correlation
Below 0.7 = Warning: pair may not be reliable
ADF P-Value (should be < 0.05): Tests if the relationship is stable
Low value = Good for pair trading
High value = Relationship may be random
Cointegration: Confirms long-term equilibrium relationship
YES = Pair tends to revert to mean
NO = Pair may drift apart permanently
Visual Elements Explained
Chart Zones (Color-Coded Areas)
Yellow Zone (-1.5 to +1.5)
Normal Zone: Relationship is stable
Action: Wait for better opportunities
Blue Zone (±1.5 to ±2.0)
Entry Zone: Deviation is significant
Action: Prepare for potential trades
Green/Red Zone (±2.0 to ±3.0)
Opportunity Zone: Strong deviation
Action: High-probability trade setups
Beyond ±3.0
Risk Limit: Extreme deviation
Action: Either maximum opportunity or structural break
Signal Arrows
Green Arrow Up (Buy A + Sell B):
Stock A is undervalued relative to B
Buy Stock A, Short Stock B
Red Arrow Down (Sell A + Buy B):
Stock A is overvalued relative to B
Sell Stock A, Buy Stock B
Settings Guide
Symbol Inputs
Pair Symbol (Symbol B): Choose the second stock to compare
Default: NSE:INFY (Infosys)
Example pairs: TCS/INFY, HDFCBANK/ICICIBANK, RELIANCE/ONGC
Z-Score Parameters
Long Z-Score Period (300): Historical context
Short Z-Score Period (100): Recent trend
Signal Period (20): Trading signals
Z-Score Threshold (2.0): Entry trigger level
Higher = Fewer but stronger signals
Lower = More frequent signals
Statistical Parameters
Correlation Period (240): How many bars to check correlation
Hurst Exponent Period (50): Measures mean-reversion tendency
Probability Lookback (100): Historical probability calculations
Trading Parameters
Entry Threshold (0.0): Minimum Z-score for entry
Risk Threshold (1.5): Warning level
Risk Limit (3.0): Maximum deviation to trade
How to Use (Step-by-Step)
Step 1: Choose Your Pair
Add the indicator to your chart (this becomes Stock A)
In settings, select Stock B (the comparison stock)
Choose stocks from the same sector for best results
Step 2: Verify Pair Quality
Check the Statistics Table (top-right corner):
✅ Correlation > 0.70 (Green = Good)
✅ ADF P-value < 0.05 (Green = Good)
✅ Cointegrated = YES (Green = Good)
If all three are green, the pair is suitable for trading!
Step 3: Wait for Signals
BUY SIGNAL (Green Arrow Up)
Z-Score crosses above -2.0
Action: Buy Stock A, Sell Stock B
Exit: When Z-Score returns to 0
SELL SIGNAL (Red Arrow Down)
Z-Score crosses below +2.0
Action: Sell Stock A, Buy Stock B
Exit: When Z-Score returns to 0
Step 4: Risk Management
Yellow Zone: Monitor only
Blue Zone: Prepare for entry
Green/Red Zone: Active trading zone
Beyond ±3.0: Maximum risk - use caution
⚠️ Important Warnings
Not All Pairs Work: Always check the statistics table first
Market Conditions Matter: Correlation can break during market stress
Use Stop Losses: Set stops at Z-Score ±3.5 or beyond
Position Sizing: Trade both legs with appropriate hedge ratios
Transaction Costs: Factor in brokerage and slippage for both stocks
Example Trade
Scenario: TCS vs INFOSYS
Correlation: 0.85 ✅
Z-Score: -2.3 (TCS is cheap vs INFY)
Action to be taken:
Buy 1lot of TCS Future
Sell 1lot of INFOSYS Future
Expected Outcome:
As Z-Score moves toward 0, TCS outperforms INFOSYS
Close both positions when Z-Score crosses 0
Profit from the convergence
Best Practices
Test Before Trading: Use paper trading first
Sector Focus: Choose pairs from the same industry
Monitor Statistics: Check correlation daily
Avoid News Events: Don't trade pairs during earnings/major news
Size Appropriately: Start small, scale with experience
Be Patient: Wait for high-quality setups (±2.0 or beyond)
What Makes This Indicator Unique?
Multi-timeframe Z-Score analysis: Three different perspectives
Statistical validation: Built-in correlation and cointegration tests
Visual risk zones: Easy-to-understand color-coded areas
Real-time statistics: Live pair quality monitoring
Beginner-friendly: Clear signals with educational zones
Technical Background
The indicator uses:
Engle-Granger Cointegration Test: Validates pair relationship
ADF (Augmented Dickey-Fuller) Test: Tests stationarity
Pearson Correlation: Measures linear relationship
Z-Score Normalization: Standardizes deviations
Log Returns: Handles price differences properly
Support & Community
For questions, suggestions, or to share your pair trading experiences:
Comment below the indicator
Share your successful pair combinations
Report any issues for quick fixes
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Pair trading involves risk, including the risk of loss.
Always:
Do your own research
Understand the risks
Trade with money you can afford to lose
Consider consulting a financial advisor
📌 Quick Reference Card
Z-ScoreInterpretationAction-3.0 to -2.0A very cheap vs BStrong Buy A, Sell B-2.0 to -1.5A cheap vs BBuy A, Sell B-1.5 to +1.5Normal rangeHold/Wait+1.5 to +2.0A expensive vs BSell A, Buy B+2.0 to +3.0A very expensive vs BStrong Sell A, Buy B
Good Pair Statistics:
Correlation: > 0.70
ADF P-value: < 0.05
Cointegration: YES
Version: 1.0
Last Updated: 10th October 2025
Compatible: TradingView Pine Script v6
Happy Trading!
Educational
FOREXSOM Session Boxes (Local Time) — Asian, London & New YorkFOREXSOM Session Boxes (Local Time) highlights the three major Forex sessions — Asian, London, and New York — using your chart’s local timezone automatically.
This indicator helps traders visualize market structure, liquidity zones, and timing across global trading hours with accuracy and clarity.
Key Features
Automatically adjusts to your chart’s local timezone
Highlights Asian, London, and New York sessions with clean color zones
Works on all timeframes and asset classes
Ideal for Smart Money Concepts (SMC), ICT, and price action strategies
Helps identify range breakouts, session highs/lows, and liquidity grabs
How It Works
Each session box updates in real time to show the current range as the market develops.
The boxes reset at the end of each session, making it easy to compare volatility and liquidity shifts between regions.
Sessions (default times):
Asian: 17:00 – 03:00
London: 02:00 – 11:00
New York: 07:00 – 16:00
How to Use
Add the indicator to your chart.
Ensure your chart timezone matches your local time in chart settings.
Watch session ranges form and look for liquidity sweeps or breakouts between overlaps (London/New York).
Created by FOREXSOM
Empowering traders worldwide with precision-built tools for Smart Money and institutional trading education.
UT Bot Alert + EMA100 + RSI Filter (Fixed) by gummyUT Bot Alert + EMA100 + RSI Filter (Fixed) by gummy
Adaptive Nexus LineAdaptive Nexus Line
Overview
The Adaptive Nexus Line is not just another moving average. It's a next-generation, composite indicator designed to provide a comprehensive and visually intuitive baseline for trend analysis and momentum.
At its core, the Adaptive Nexus Line synthesizes a "cluster" of multiple moving averages into a single, cohesive line. This "average of averages" approach reduces market noise and provides a more stable and reliable representation of the trend than a traditional, single MA. The name reflects its core strengths: "Adaptive" for its intelligent Kalman filter smoothing, and "Nexus" because it serves as a central point, bringing together a wide array of moving average types.
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Key Features
• Composite Engine: Instead of a single MA, the Adaptive Nexus Line averages a user-defined cluster of MAs (e.g., 20 MAs with lengths from 5 to 105). This significantly smooths out price action and reduces false signals.
• Universal MA Selection: The engine supports a comprehensive suite of moving average types, including SMA, EMA, WMA, HMA, VWMA, RMA, ZLMA, and ZMA.
• Momentum Gradient: The indicator's most unique feature is its visual momentum coloring. The line smoothly transitions from red (bearish momentum) through yellow (neutral/indecision) to green (bullish momentum) based on the real-time ratio of rising vs. falling MAs within the cluster.
• Change-Point Signals: A white dot is plotted at the very start of a color change, and a yellow dot is plotted at the end, providing clear signals of potential shifts in momentum.
• Multi-Timeframe (MTF) Support: View the Adaptive Nexus Line from any timeframe directly on your current chart (e.g., plot the 4H line on a 15m chart) to get a better perspective of the higher-level trend.
• Adaptive Kalman Filter: An optional, switchable Kalman filter is included to provide an additional layer of intelligent, adaptive smoothing to the final output line. Its sensitivity is fully adjustable.
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Settings Explained
• Moving Average Settings: Control the core engine. Choose your preferred MA Type, the Number of MAs in the cluster, the Start Length, and the Step between lengths.
• Time Frame: Set the indicator to a higher timeframe for a broader market view. Leave blank to use your chart's current timeframe.
• Kalman Filter Settings: Toggle the Use Kalman Filter on or off. Adjust the Kalman Smoothing Period (higher = smoother) to fine-tune the adaptive smoothing to your preference.
Stop Hunt Candlesticks (Liquidity Wicks)🕯️ Stop Hunt Candlesticks
Wick Highlighter – Spot Extreme Wicks Instantly
This indicator highlights candles where the upper or lower wick exceeds a customizable percentage of the asset’s price — perfect for quickly spotting strong rejections, liquidity grabs, stop hunts or exhaustion moves.
💡 Key Features
Visual Background Highlight: Automatically colors the chart background when a wick surpasses your defined % threshold (default 1%).
Customizable Threshold: Adjust wick sensitivity to suit different assets or timeframes.
Upper & Lower Wick Filters: Choose whether to track upper wicks, lower wicks, or both.
Dynamic Price Basis: Compare wick size relative to Close, Open, HL2, or OC2.
Optional Labels: Display the exact wick percentage directly on the chart.
Alerts Ready: Get notified whenever a candle shows an extreme wick condition.
⚙️ How It Works
The script measures each candle’s wick size relative to your chosen price basis:
Upper wick % = (High − max(Open, Close)) / Basis × 100
Lower wick % = (min(Open, Close) − Low) / Basis × 100
If the result exceeds your chosen threshold, the chart background changes color.
Red for upper wicks, green for lower wicks by default.
🎯 Use Cases
Identify strong rejections or stop hunts near key levels.
Confirm price exhaustion or potential reversals.
Filter fake breakouts or high-volatility events.
🧩 Customization
Tweak colors, transparency, and label visibility to fit seamlessly into your chart setup.
Candle % ChangePercentage change on each candle. It will show how much the stock has given on each candle
GLOBAL LIQUIDITY PROXY, G5 Total Liquidity (CBBS + M2) - USDG5 Total Liquidity (CBBS + M2) - USD
G5 (US, CN, EU, JP, GB)
Somma Balance Sheet Central Banks e M2 convertiti in USD
Crypto Mean Reversion System (Pullback & Bounce)Mean Reversion Theory
The indicator operates on the principle that extreme price movements in crypto markets tend to revert toward their mean over time.
Consider this a valuable aid for your dollar-cost averaging strategy, effectively identifying periods ripe for accumulating or divesting from the market.
Research shows that:
Short-term momentum often persists briefly after surges, but extreme moves trigger mean reversion
Sharp drops exhibit strong bounce patterns, especially after capitulation events
Longer timeframes (7-day) show stronger mean reversion tendencies than shorter ones (1-day)
Timeframe Analysis
1-Day Timeframe
Pullback probabilities: 45-85% depending on surge magnitude
Bounce probabilities: 55-95% depending on drop severity
Captures immediate overextension and panic selling
More volatile but faster signal generation
7-Day Timeframe
Pullback probabilities: 50-90% (higher confidence)
Bounce probabilities: 50-90% (slightly moderated)
Filters out noise and identifies sustained trends
Stronger mean reversion signals due to extended moves
Probability Tiers
Pullback Risk (After Surges)
Moderate (45-60%): 5-10% surge → Expected -3% to -12% pullback
High (55-70%): 10-15% surge → Expected -5% to -18% pullback
Very High (65-80%): 15-25% surge → Expected -10% to -25% pullback
Extreme (75-90%): 25%+ surge → Expected -15% to -40% pullback
Bounce Probability (After Drops)
Moderate (55-65%): -5% to -10% drop → Expected +3% to +10% bounce
High (65-75%): -10% to -15% drop → Expected +6% to +18% bounce
Very High (75-85%): -15% to -25% drop → Expected +10% to +30% bounce
Extreme (85-95%): -25%+ drop → Expected +18% to +45% bounce
The probability ranges are derived from:
Crypto volatility patterns: Higher volatility than traditional assets creates stronger mean reversion
Behavioral finance: Extreme moves trigger emotional trading (FOMO/panic) that reverses
Historical backtesting: Probability estimates based on typical reversion patterns in crypto markets
Timeframe correlation: Longer timeframes show increased reversion probability due to reduced noise
Key Features
Dual-direction signals: Identifies both overbought (pullback) and oversold (bounce) conditions
Multi-timeframe confirmation: 1D and 7D analysis for different trading styles
Customizable thresholds: Adjust sensitivity based on asset volatility
Visual alerts: Color-coded labels and table for quick assessment
Risk categorization: Clear severity levels for position sizing
FVG/ iFVG point size Shows the size in points of combined fvg and inverted fvgs. Good for determining momentum and strength in reversals
settings:
lookback - how many candles to look for fvgs and ifvg
change length of the fvg box
change settings to decided the minimum size of gap to label
colours of boxes and labels
"Top 20 Crypto Coins Table Screener + SuperTrend & EMA 9/21 CrosThis indicator is a powerful table screener for the top 20 crypto coins, updated for 2025 and designed for maximum clarity and speed. It displays customizable columns for Symbol, Price, SuperTrend ("Up"/"Down"), and EMA 9/21 crossover signals ("Buy"/"Sell") across multiple assets on a single chart.
Features:
Covers 20 major coins (edit the symbol list for preferences).
SuperTrend direction and coloring, for quick visual identification of trend.
EMA 9/21 crossover logic for rapid momentum buy/sell decisions.
Fast table rendering, minimal lag—even on basic hardware.
All logic, table columns, and alerts directly built into the script.
How To Use:
Paste the indicator code into Pine Editor and save it.
Activate for your preferred timeframes and coins.
View the table at the top right for actionable signals.
Easy to customize ticker symbols and table layout.
Remarks:
No RSI, ADX, or TSI for speed—focus is on high-impact trend/momentum signals.
Ideal for day traders, swing traders, and crypto investors monitoring broader markets.
For questions, improvements, or feedback, comment on the script page or connect via TradingView.
Holistiq Indicator – Trade Protocol Holistiq Indicator – Trade Protocol is an educational overlay that identifies areas where multiple technical elements converge (candlestick patterns, VWAP, S/R, Fibonacci levels and gaps). It’s designed to help traders visualise confluence and build disciplined trade plans. This public script shows the full source code for transparency and learning. Use responsibly; not financial advice.
Risk-Reward Position SizerRisk-Reward Position Sizer – Features Checklist
Purpose:
A visual calculator and position sizing tool for day traders, providing realistic risk, stop-loss, take-profit, and reward-to-risk information based on account size and position constraints.
Features:
Flexible Risk Settings
Set risk as a percentage of your account or a fixed dollar amount per trade.
Automatically calculates position size based on desired risk and stop distance.
Stop Loss Options
Stop distance can be defined as a percent of entry price or a fixed price.
Automatically adjusts stop distance when position is cash-limited to achieve your target risk.
Take Profit Options
TP can be defined as a fixed R multiple (e.g., 2R) or fixed absolute price.
Cash-Limited Position Handling
Optional “Cap Position to Account Size” prevents buying more shares than your cash allows.
Shows actual achievable risk if your cash limits position size.
Realistic Risk / Reward Calculations
Calculates Actual Risk $ based on position size and stop distance.
Calculates Projected Win $ based on take profit and position size.
Calculates Actual Reward-to-Risk (R:R) ratio using actual stop and TP.
Position Metrics
Estimated quantity of shares/contracts to buy.
Estimated position value.
Estimated leverage used relative to account size.
Top-Right Table Display
Clear, compact table showing:
Account size
Target risk $
Actual risk $
Stop distance
Quantity
Position value
Take profit and stop-loss prices
Projected win $ and %
Projected loss %
Actual R:R
Leverage
Trading Decision Aid
Gives traders a realistic snapshot of achievable risk and reward before entering a trade.
Helps avoid the common trap of setting tight stops that don’t actually match desired account risk.
Why It’s Useful:
This indicator turns abstract risk/reward concepts into concrete, actionable numbers, helping day traders size positions safely, plan stops and targets realistically, and maintain consistent risk management across trades.
Ram HTF Direction & Market ProfileRam HTF Direction & Markey Profile.
I am trying to identify the HTF(Daily) Direction and Market profiles POC,VAL,VAH to trade on 1HR.
Nifty vs Nifty Fut Premium indicator This indicator compares Nifty Spot and Nifty Futures prices in real-time, displaying the premium (or discount) between them at the top of the pane.
Trading applications:
Arbitrage opportunities: When the premium becomes unusually high or low compared to fair value (based on cost of carry), traders can exploit the mispricing through cash-futures arbitrage
Market sentiment: A rising premium often indicates bullish sentiment as traders are willing to pay more for futures, while a declining or negative premium suggests bearish sentiment
Rollover strategy: Near expiry, monitoring the premium helps traders decide optimal timing for rolling positions from current month to next month contracts
Risk assessment: Sudden spikes in premium can signal increased demand for leveraged long positions, potentially indicating overbought conditions or strong momentum
Machine Learning Price Predictor: Ridge AR [Bitwardex]🔹Machine Learning Price Predictor: Ridge AR is a research-oriented indicator demonstrating the use of Regularized AutoRegression (Ridge AR) for short-term price forecasting.
The model combines autoregressive structure with Ridge regularization , providing stability under noisy or volatile market conditions.
The latest version introduces Bull and Bear signals , visually representing the current momentum phase and model direction directly on the chart.
Unlike traditional linear regression, Ridge AR minimizes overfitting, stabilizes coefficient dynamics, and enhances predictive consistency in correlated datasets.
The script plots:
Fit Line — in-sample fitted data;
Forecast Line — out-of-sample projection;
Trend Segments — color-coded bullish/bearish sections;
Bull/Bear Labels 🐂🐻 — dynamic visual signals showing directional bias.
Designed for researchers, students, and developers, this tool helps explore regularized time-series forecasting in Pine Script™.
🧩 Ridge AR Settings
Training Window — number of bars used for model training;
Forecast Horizon — forecast length (bars ahead);
AR Order — number of lags used as features;
Ridge Strength (λ) — regularization coefficient;
Damping Factor — exponential trend decay rate;
Trend Length — period for trend/volatility estimation;
Momentum Weight — strength of the recent move;
Mean Reversion — pullback intensity toward the mean.
🧮 Data Processing
Prefilter:
None — raw close price;
EMA — exponential smoothing;
SuperSmoother — Ehlers filter for noise reduction.
EMA Length, SuperSmoother Length — smoothing parameters.
🖥️ Display Settings
Update Mode:
Lock — static model;
Update Once Reached — rebuild after forecast horizon;
Continuous — update every bar.
Forecast Color — projection line color;
Bullish/Bearish Colors — colors for trend segments.
🐂🐻 Bull/Bear Signal System
The Bull/Bear Signal System adds directional visual cues to highlight local momentum shifts and model-based trend confirmation.
Bull (🐂) — appears when upward momentum is confirmed (momentum > 0) .
Displayed below the bar, colored with Bullish Color.
Bear (🐻) — appears when downward momentum is dominant (momentum < 0) .
Displayed above the bar, colored with Bearish Color.
Signals are generated during model recalculations or when the directional bias changes in Continuous mode.
These visual markers are analytical aids , not trading triggers.
🧠 Core Algorithmic Components
Regularized AutoRegression (Ridge AR):
Solves: (X′X+λI)−1X′y
to derive stable regression coefficients.
Matrix and Pseudoinverse Operations — implemented natively in Pine Script™.
Prefiltering (EMA / Ehlers SuperSmoother) — stabilizes noisy data.
Forecast Dynamics — integrates damping, momentum, and mean reversion.
Trend Visualization — color-coded bullish/bearish line segments.
Bull/Bear Signal Engine — visualizes real-time impulse direction.
📊 Applications
Academic and educational purposes;
Demonstration of Ridge Regression and AR models;
Analysis of bull/bear market phase transitions;
Visualization of time-series dependencies.
⚠️ Disclaimer
This script is provided for educational and research purposes only.
It does not provide trading or investment advice.
The author assumes no liability for financial losses resulting from its use.
Use responsibly and at your own risk.
Market Structure ICT Screener [TradingFinder] BoS ChoCh🔵 Introduction
Market Structure is the foundation of every Smart Money and ICT based trading model. It describes how price moves through a sequence of highs and lows, forming clear phases of expansion, retracement and reversal. Understanding this structure allows traders to read institutional order flow and align their positions with the true direction of liquidity.
Two of the most critical components in Market Structure are the Break of Structure (BOS) and Change of Character (CHOCH). A BOS represents trend continuation, confirming strength within the current direction. In contrast, CHOCH also known as a Market Structure Shift (MSS) signals the first sign of a trend reversal or liquidity shift where order flow begins to change from bullish to bearish or vice versa.
Because the market is fractal, structure can exist at multiple levels known as Major (External) and Minor (Internal). Major structure defines the overall trend on higher timeframes while minor or internal structure reveals short term swings and early reversals within that larger move.
🔵 How to Use
Understanding Market Structure starts with identifying how price interacts with previous swing highs and swing lows. Every trend in the market, whether bullish or bearish, is built from a sequence of impulsive and corrective moves. Impulsive legs show strong displacement in the direction of liquidity flow, while corrective legs represent temporary pullbacks as the market rebalances before the next expansion. Recognizing these sequences is essential for reading the story of price and anticipating what may happen next.
A Break of Structure (BOS) occurs when price decisively moves beyond a previous structural point by breaking above the last high in an uptrend or falling below the last low in a downtrend. This event confirms that the current trend remains intact and that liquidity has been successfully taken from one side of the market. A BOS acts as confirmation of continuation and reflects strength within the existing directional bias.
A Change of Character (CHOCH) appears when price violates structure in the opposite direction of the prevailing trend. This is the first signal that market sentiment and order flow may be shifting. For example, during a downtrend if price breaks above a previous high, it indicates that sellers are losing control and a potential bullish reversal may be developing. In an uptrend, when price drops below a recent low, it suggests a possible bearish transition.
Because the market is fractal, structure exists across multiple layers. Major structure reflects the dominant movement visible on higher timeframes and defines the broader directional bias. Minor or internal structure represents smaller swings within that move and helps identify early transitions before they appear on the higher timeframe. When internal and external structures align, they offer a high probability signal for trend continuation or reversal.
By observing BOS and CHOCH across both internal and external structures, traders can clearly visualize when the market is expanding, contracting or preparing to shift direction. This structured understanding of price movement forms the foundation for precise trend analysis and high quality decision making in any Smart Money or ICT based trading approach.
🔵 Settings
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 20 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
Pivot Period : Set the length used to detect swing highs and lows. Shorter values increase sensitivity, longer ones focus on major structures.
🔵 Conclusion
Mastering Market Structure and understanding the relationship between BOS and CHOCH allows traders to see the market with greater clarity and confidence. These two elements reveal how liquidity moves through different phases of expansion and retracement and how institutional order flow shifts between accumulation and distribution.
By analyzing both internal and external structures, traders can align short term and long term perspectives and anticipate where price is most likely to react. The ability to read these structural shifts helps identify continuation points, reversals and areas where liquidity is engineered or collected.
Incorporating Market Structure into a consistent trading process transforms the way a trader views the chart. Instead of reacting to random movements, each swing, break and shift becomes part of a logical framework that reflects the true behavior of the market. Understanding BOS and CHOCH is not just a concept but a complete language of price that guides every professional decision in Smart Money and ICT based trading.
WT + CRSI + Linear Regression Long-onlyLong-only strategy combining WaveTrend (WT), Connors RSI (CRSI), and Linear Regression Slope (LSDD) trend filter.
Signals are generated only when all three indicators align within a defined window.
Exits occur when all indicators turn bearish.
Backtested on BTC, 15-minute timeframe.
Custom Text Display📋 Custom Text Display - User Guide
Overview
This indicator allows you to display custom text anywhere on your TradingView chart with full control over appearance and positioning.
Features
📝 Text Settings
Custom Text: Write any text you want to display on your chart. Can be multiple lines.
Text Alignment: Choose how your text is aligned within the box
Left
Center
Right
Text Color: Pick any color for your text
Background Color: Choose the background color of the text box (includes transparency control)
Text Size: Select from 5 different text sizes
Tiny
Small
Normal
Large
Huge
📍 Position Settings
Table Position: Choose where the text box appears on your chart
Top Left
Top Center
Top Right
Bottom Left
Bottom Center
Bottom Right
Vertical Offset (0-20): Fine-tune the vertical position
0 = Default position (no offset)
Higher values = Move the text box further down
Use this to avoid overlapping with other indicators or chart elements
How to Use
Add the indicator to your TradingView chart
Open the settings by clicking the gear icon next to the indicator name
Enter your text in the "Custom Text" field
Customize appearance:
Choose your preferred colors for text and background
Select text size and alignment
Position the box:
Select one of the 6 main positions
Use "Vertical Offset" to fine-tune the exact position (add empty space above the text)
Click OK to apply changes
Use Cases
📊 Display trading notes or reminders
📈 Show key levels or targets
💡 Add strategy descriptions
⚠️ Display risk warnings
📝 Create custom labels for specific chart setups
🎯 Mark important price zones with descriptions
Tips
Use transparent backgrounds (adjust the transparency slider) for a cleaner look
Vertical Offset is useful when you have multiple indicators at the top/bottom and need to avoid overlap
Large/Huge text works well for important notes you want to see at a glance
Combine different text alignments with different positions for better layout control
Note: The text box updates in real-time as you change settings, so you can preview your changes before applying them.
SWR Label SystemSWR Label System -- Sweep · Wait · Reclaim
The SWR Label System is a visual trading companion built to highlight liquidity events and institutional reactions in real time.
It automatically detects:
• 🌀 Sweep – liquidity grabs beyond recent highs or lows
• 🔁 Reclaim – price closing back across the swept level
• 🔊 Volume Spike – significant surges beyond average activity
When all three align, the script plots 🚀 SWR Long or 🔻 SWR Short labels with default 2:1 risk-to-reward targets for rapid evaluation.
Each label includes Entry, Take Profit, and Stop Loss values (Entry ± 2% / 1% by default).
These defaults are for illustration only -- it’s best to adapt TP / SL levels to recent structure, highs, and lows for precision risk management.
Optional toggles allow you to show or hide sweep, reclaim, and volume markers individually, plus a cooldown feature to reduce signal clutter.
⚠️ Educational use only -- not financial advice. Always confirm structure, volume, and context before trading live funds.
Adaptive Square Levels (Prev + Curr Month, Configurable)
The Adaptive Square Levels (Configurable Edition) indicator dynamically plots price levels based on perfect squares — a concept derived from harmonic market behavior and geometric scaling.
Each month, the script automatically detects the new monthly open and generates square levels both above and below the opening price.
This version introduces full configurability, allowing traders to adjust how many square levels they want to visualize on either side of the base level. The indicator also visually separates previous and current month levels for easy reference.
⚙️ Features
🔢 User-Configurable Range: Choose how many levels to plot above and below the base level.
🧮 Mathematically Derived Levels: Based on perfect squares up to a user-defined max price.
📅 Monthly Auto-Reset: Automatically refreshes at the start of each new month.
🎨 Color-Coded Levels:
Orange → Major levels (square roots divisible by 3)
Yellow → Regular levels
Star (★) → Base level (nearest to monthly open)
🕰️ Dual Month Display: Shows both current and previous month levels for trend comparison.
💡 How to Use
Add the indicator to any symbol and timeframe (preferably daily or higher).
Adjust:
Max Price Level → The upper bound of your price universe.
Number of Levels Each Side → Controls the density of levels.
Observe how price reacts around these mathematically significant zones.
Use in confluence with your own price action, volume, or support/resistance analysis.
📊 Ideal For
Swing traders analyzing monthly trend reversals
Price structure and geometry enthusiasts
Traders exploring market harmonics or square-of-nine–based frameworks
🧠 Note
The script doesn’t provide buy/sell signals — it offers a structural map of key levels derived from square relationships.
Use it as a visual guide to align entries and exits with natural market geometry.