Zeefreaks Predator Mask CryptoMade by Zeefreaks, for his dear students so when they see a chart, they can easily identify if it is a buy or sell within a minute.
Dönemler
DEEP PEAK AI 🧠 Introducing DeepPeak AI
An intelligent indicator designed to detect price peaks and bottoms, helping modern investors optimize entry and exit points.
🌟 What is DeepPeak AI?
DeepPeak AI is a smart technical analysis indicator powered by artificial intelligence (AI). It identifies potential peak and bottom zones on price charts and provides timely buy-the-dip and sell-the-peak signals.
Built on historical market data, machine learning models, and real-world price behavior, DeepPeak AI allows users to make fast, emotion-free decisions and maximize trading efficiency.
⚙️ How does DeepPeak AI work?
✅ Bottom Detection:
Recognizes oversold zones, bullish reversals, or positive divergences between price and momentum indicators.
→ Suggests BUY in low-risk, high-reward areas.
❌ Peak Detection:
Analyzes when the price hits strong resistance, becomes overbought, or shows signs of weakening bullish momentum.
→ Suggests SELL or TAKE PROFIT in high-risk reversal zones.
🤖 AI Intelligence:
DeepPeak AI continuously learns from thousands of historical price patterns to improve the accuracy of its peak/bottom detection algorithm.
💡 Key Features:
📊 Real-time detection of peaks and bottoms.
📈 Suggested Buy/Sell zones with Take Profit (TP) and Stop Loss (SL) levels.
🔔 Signal alerts via chart and webhook (TradingView integration).
🔄 Self-learning AI that adapts to evolving market behavior.
🔍 Compatible with multiple timeframes and asset types: crypto, stocks, forex, gold, etc.
🧠 Who is DeepPeak AI for?
🧩 New investors who need clear, beginner-friendly signals.
⚔️ Pro traders looking for tools to filter noise and spot ideal trade zones.
🤖 Developers integrating AI-based analysis into trading bots.
⚠️ Usage Notes:
This is not a guaranteed signal tool — use in combination with risk management and overall market analysis.
Works best in trending markets or tight consolidation ranges.
ICT x Vihapa 4 in 1Indicator Description:
This indicator is designed to provide comprehensive market structure and session-based insights. It includes:
NWoG / NDoG Levels: Displays New Week Opening Gap (NWoG) and New Day Opening Gap (NDoG) for market context.
Key Opening Price Levels: Highlights significant time-based price levels, including 00:00, 08:30, 09:30, and 13:00.
Previous Key Levels: Marks critical historical levels such as the previous week's high and low, previous day’s high and low, and 4-hour highs and lows.
Trading Sessions: Clearly distinguishes major market sessions including the Asian, London, and New York sessions.
This indicator serves as a valuable tool for traders seeking to align their strategies with institutional price behavior and time-based market dynamics.
Divergence Indicator with Multi-Length Pivot DetectionThis Pine Script, titled “Divergence Indicator with Multi-Length Pivot Detection”, tool that detects both regular and hidden divergences between price action and an oscillator (defaulting to close, but configurable). It features multi-length pivot logic, angle-based validation, no-cross filtering, and OB/OS region filtering, making it a robust and precise divergence engine. Below is a detailed breakdown:
⸻
🔧 Inputs and Configuration
• osc_src: Oscillator source (e.g. close, RSI, MACD).
• show_hidden: Toggles detection of hidden divergences.
• min_*_angle settings: Control the minimum angle thresholds (in degrees) for confirming valid divergences (ensures momentum is strong enough).
• validate_no_cross: Ensures oscillator and price slopes don’t “cross” the actual values (i.e. filters out invalid or messy trends).
• oversold_level, overbought_level: Used when use_ob_os_filter is enabled to require oscillator to be in OS/OB zones for regular divergence.
• min_div_length: Minimum distance in bars between previous and current pivot points.
⸻
🔁 Internal Engine Mechanics
1. Pivot Detection Engine (Phase 1: Historical Memory)
• For all combinations of left1 and right1 in the range :
• Records all valid pivot lows and pivot highs.
• Stores their:
• bar index
• price value
• oscillator value
This forms a “memory buffer” of past pivots that future price pivots are compared against.
2. Current Pivot Detection (Phase 2: Scanning)
• Loops through larger pivot configurations (left2 ∈ , right2 = 1) to detect new current pivots.
• For each new pivot, it compares against the historical pivots from phase 1.
⸻
📐 Slope and Angle Calculation
For each matching pivot pair (historical vs current):
• Price and Oscillator Slopes are calculated via linear regression, producing:
• price_angle
• osc_angle
• These are converted using math.atan() and math.todegrees() to get proper angular direction and intensity of trend.
⸻
🧠 Divergence Logic
✅ Bullish Divergence
• Regular Bullish: Price makes a lower low, oscillator makes a higher low.
• Hidden Bullish: Price makes a higher low, oscillator makes a lower low.
• Conditions:
• Must meet minimum angle thresholds.
• Optional: Must be in oversold region (osc_src < oversold_level).
• If validate_no_cross is enabled, linearly interpolated slope must not be violated.
✅ Bearish Divergence
• Regular Bearish: Price makes a higher high, oscillator makes a lower high.
• Hidden Bearish: Price makes a lower high, oscillator makes a higher high.
• Conditions mirror the bullish case (with polarity reversed).
⸻
🖍️ Visualization
• Draws colored lines between pivots for visual clarity:
• Green: Regular Bullish
• Lime: Hidden Bullish
• Red: Regular Bearish
• Maroon: Hidden Bearish
• Uses plotshape() to mark divergence bars:
• Triangle-up for bullish
• Triangle-down for bearish
The lines and shapes help quickly identify divergence zones with strong momentum structure.
⸻
🧪 Filtering Enhancements
• No Cross Slope Filter: Checks that oscillator and price values stay above/below their respective slope lines throughout the interval.
• OB/OS Filter: Restricts divergence signals to occur only in oversold/overbought conditions for regular divergences.
• Signal Thinning: Keeps line count to 100 using array.shift() and line.delete().
⸻
🧬 Design Philosophy
• Built to mimic institutional-grade divergence detection, avoiding common false positives.
• Uses adaptive pivots, rigorous angle validation, and noise filtering.
MACD + TSI 交易信号指标 by kuaileya MACD kuaileya VX kale1668 title="🚀 强势买入信号", message="🚀 {{ticker}} 强势买入信号！价格：{{close}} | MACD和TSI同时确认多头趋势")
alertcondition(strongSell and showAlerts, title="💥 强势卖出信号", message="💥 {{ticker}} 强势卖出信号！价格：{{close}} | MACD和TSI同时确认空头趋势")
alertcondition(normalBuy and showAlerts, title="📈 买入信号", message="
ADR Tracker Version 2Description
The **ADR Tracker** plots a customizable panel on your chart that monitors the Average Daily Range (ADR) and shows how today’s price action compares to that average. It calculates the daily high–low range for each of the past 14 days (can be adjusted) and then takes a simple moving average of those ranges to determine the ADR.
**Features:**
* **Current ADR value:** Shows the 14‑day ADR in price units.
* **ADR status:** Indicates whether today’s range has reached or exceeded the ADR.
* **Ticks remaining:** Calculates how many minimum price ticks remain before the ADR would be met.
* **Real‑time tracking:** Monitors the intraday high and low to update the range continuously.
* **Customizable panel:** Uses TradingView’s table object to display the information. You can set the table’s horizontal and vertical position (top/middle/bottom and left/centre/right) with inputs. The script also lets you change the text and background colours, as well as the width and height of each row. Table cells use explicit width and height percentages, which Pine supports in v6. Each call to `table.cell()` defines the text, colours and dimensions for its cell, so the panel resizes automatically based on your settings.
**Usage:**
Apply the indicator to any chart. For the most accurate real‑time tracking, use it on intraday timeframes (e.g. 5‑min or 1‑hour) so the current day’s range updates as new bars arrive. Adjust the inputs in the settings panel to reposition the list or change its appearance.
---
This description explains what the indicator does and highlights its customizable table display, referencing the Pine Script table features used.
FVG + Liquidity Sweepsthis is a test and i don't know if it is gonna actually work but let me know if it does.
Twin Range Filter V2 – Buy/Sell Signals📊 Indicator Name: Twin Range Filter – Buy/Sell Signals
📝 Description:
The Twin Range Filter is a trend-following indicator that combines two adaptive volatility filters to identify potential market reversals and trend continuations. It uses two configurable smoothing periods (fast and slow) to calculate a dynamic range around price, filtering out market noise and highlighting meaningful shifts in direction.
This indicator plots BUY and SELL signals based on price action in relation to the range filter, as well as internal trend conditions.
✅ How It Works:
Long Signal (BUY) is triggered when:
Price is above the filtered range (showing strength), and
Short-term upward momentum is confirmed.
Short Signal (SELL) is triggered when:
Price is below the filtered range (showing weakness), and
Short-term downward momentum is confirmed.
The signals are highlighted using green "Long" and red "Short" labels on the chart.
Background colors reinforce the current directional bias.
⚙️ Inputs:
Fast Period & Range: Adjust sensitivity of the fast range filter.
Slow Period & Range: Adjust smoothing of the slow range filter.
Source: Choose which price to base calculations on (e.g., Close, Open, HL2, etc.)
🔔 Alerts:
Long Signal – A new BUY condition has been detected.
Short Signal – A new SELL condition has been detected.
📌 Use Cases:
Entry timing for swing or intraday trades
Trend confirmation filter
Signal generator in automated strategies (when paired with a strategy scrip
Kalman VWMA For LoopKalman VWMA For Loop Indicator
The Kalman VWMA For Loop indicator is a sophisticated tool designed to smooth price data using a Kalman filter applied to a Volume Weighted Moving Average (VWMA). By combining the VWMA’s volume-weighted price sensitivity with the adaptive noise reduction of a Kalman filter, this indicator provides traders with a robust momentum and trend-following signal. The indicator includes a customizable for-loop mechanism to potentially iterate over a range of calculations or parameters, enhancing flexibility for advanced trading strategies. Visual outputs are plotted to help traders identify trends and potential trading opportunities with reduced noise.
How It Works
VWMA Calculations
Volume Weighted Moving Average (VWMA): Computes a VWMA based on a user-selected price source (default: Close) over a configurable period (default: 14). The VWMA weights price data by trading volume, providing a more accurate representation of market activity compared to a simple moving average.
Kalman Filter Calculation
Kalman Filter: Applies a Kalman filter to the price source to smooth price movements and reduce noise.
The filter uses:
Process Noise: Controls the adaptability of the filter to price changes (default: 0.01).
Measurement Noise: Adjusts sensitivity to price fluctuations (default: 3).
Filter Order (N): Defines the number of states in the Kalman filter (default: 3), allowing for multi-state modeling of price dynamics.
The Kalman filter iteratively predicts and updates the price estimate using state estimates and error covariances stored in arrays. This process minimizes noise while preserving significant price trends.
For-Loop Mechanism
The script includes a for-loop structure with user-defined parameters (from and to_, defaulting to 1 and 25, respectively). While the provided code does not fully implement the for-loop’s functionality, it is intended to allow iterative calculations or parameter sweeps, such as testing multiple periods or thresholds within the specified range. This feature enhances the indicator’s flexibility for optimization or multi-scenario analysis.
Visual Representations
The indicator plots the VWMA as a red line on the chart, providing a clear visual reference for the volume-weighted trend.
The Kalman-filtered price is calculated but not plotted in the provided code. When plotted, it would appear as a smoothed price line, highlighting the underlying trend with reduced noise.
The for-loop parameters suggest potential for additional visual outputs (e.g., multiple VWMA lines or signals) if fully implemented, but the current script only plots the VWMA.
Customization & Parameters
The Kalman VWMA For Loop indicator offers flexible parameters to suit various trading styles:
Moving Average Parameters:
Price Source: Select the input price (default: Close; options: Close, High, Low, Open).
MA Period: Adjust the VWMA calculation period (default: 14).
Kalman Parameters:
Process Noise: Adjusts the filter’s adaptability to price changes (default: 0.01).
Measurement Noise: Controls sensitivity to price fluctuations (default: 3).
Filter Order (N): Sets the number of states for the Kalman filter (default: 3).
For-Loop Parameters:
From: Starting value for the for-loop (default: 1).
To: Ending value for the for-loop (default: 25).
Color Settings: The VWMA is plotted in red, with potential for additional customizable colors if the for-loop is expanded to plot multiple outputs.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Trend Following:
Use the Kalman-filtered price and VWMA to identify the direction and strength of trends, with the smoothed output reducing false signals in volatile markets.
Momentum Trading: The VWMA highlights volume-driven price movements, allowing traders to enter or exit based on momentum shifts.
Parameter Optimization: The for-loop structure (if fully implemented) enables testing multiple VWMA periods or Kalman parameters, aiding in strategy optimization.
Scalping and Swing Trading: Adjust the MA period and Kalman parameters to suit short-term (scalping) or longer-term (swing trading) strategies.
Final Note
The Kalman VWMA For Loop indicator is a powerful tool for traders seeking to combine volume-weighted price analysis with advanced noise reduction via a Kalman filter. Its customizable parameters and potential for iterative calculations through the for-loop make it adaptable to various trading styles. While the for-loop functionality is not fully implemented in the provided code, completing it could enable dynamic parameter testing or signal generation. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Super-Elliptic BandsThe core of the "Super-Elliptic Bands" indicator lies in its use of a super-ellipse mathematical model to create dynamic price bands around a central Simple Moving Average (SMA). Here's a concise breakdown of its essential components:
Central Moving Average (MA):
A Simple Moving Average (ta.sma(close, maLen)) serves as the baseline, anchoring the bands to the average price over a user-defined period (default: 50 bars).
Super-Ellipse Formula:
The bands are generated using the super-ellipse equation: |y/b| = (1 - |x/a|^p)^(1/p), where:
x is a normalized bar index based on a user-defined cycle period (periodBase, default: 64), scaled to range from -1 to +1.
a = 1 (fixed semi-major axis).
b is the volatility-based semi-minor axis, calculated as volRaw * mult, where volRaw comes from ta.stdev, ta.atr, or ta.tr (user-selectable).
p (shapeP, default: 2.0) controls the band shape:
p = 2: Elliptical bands.
p < 2: Pointier, diamond-like shapes.
p > 2: Flatter, rectangular-like shapes.
This formula creates bands that dynamically adjust their width and shape based on price volatility and a cyclical component.
enjoy....
Flexi MA Heat ZonesOverview
Flexi MA Heat Zones is a powerful multi-timeframe visualization tool that helps traders easily identify trend strength, direction, and potential zones of confluence using multiple moving averages and dynamic heatmaps. The indicator plots up to three pairs of customizable moving averages, with color-coded heat zones to highlight bullish and bearish conditions at a glance.
Whether you're a trend follower, mean-reversion trader, or looking for visual confirmation zones, this indicator is designed to offer deep insights with high customizability.
⚙️ Key Features
🔄 Supports multiple MA types: Choose from EMA, SMA, WMA, VWMA to suit your strategy.
🎯 Six moving averages: Three MA pairs (MA1-MA2, MA3-MA4, MA5-MA6), each with independent lengths and colors.
🌈 Heatmap Zones: Dynamic fills between MA pairs, changing color based on bullish or bearish alignment.
👁️🗨️ Full customization: Enable/disable any MA pair and its heatmap zone from the settings.
🪞 Transparency controls: Adjust the visibility of heat zones for clarity or stylistic preference.
🎨 Color-coded for clarity: Bullish and bearish colors for each heat zone pair, fully user-configurable.
🧩 Efficient layout: Smart use of grouped inputs for easier configuration and visibility management.
📈 How to Use
Use the MA1–MA2 and MA3–MA4 zones for longer-term trend tracking and confluence analysis.
Use the faster MA5–MA6 zone for short-term micro-trend identification or scalping.
When a faster MA is above the slower one within a pair, the fill turns bullish (user-defined color).
When the faster MA is below the slower one, the fill turns bearish.
Combine with price action or other indicators for entry/exit confirmation.
🧠 Pro Tips
For trend-following strategies, consider using EMA or WMA types.
For mean-reversion or support/resistance zones, SMA and VWMA may offer better zone clarity.
Overlay with RSI, MACD, or custom entry signals for higher confidence setups.
Use different heatmap transparencies to visually separate overlapping MA zones.
Volume vs Volatility Trend Signal1 is increasing volume decreasing volatility -1 is decreasing volume increasing volatility 0 is neither
Psychological Levels by BulltrekHello Traders !
This Indicator specifically designed to mark Major price points in terms of Psychological or blind levels for XAU Pairs
You can edit the price points as per your desire and can also use it on other pairs too.
Psychological levels are very crucial price points while trading where major reversals or entry points can be observed.
This Indicator once activated displays a line on the Psychological levels , in case of reset chart settings , you can also customise the chart size in the settings on the indicator.
This Indicator is developed by Rahul Jain - Founder of Bulltrek Technology
ATR as % of CloseATR 14day period in % terms
the Normal ATR indicator by TV helps but this gives a clear idea as to the range in percentage terms as and when market rises to newer and newer highs
better than an absolute value
PHL Sweep Signals(1 Hour)PHL Sweep Signals (Full History)
This indicator is designed to identify high-probability reversal setups by detecting liquidity sweeps of the previous standard hour's high and low (PHL). It provides clear, actionable signals complete with visual aids and a data table to keep you in tune with the higher-timeframe context.
Key Features
Previous Hour Levels: Automatically draws the high and low of the previous standard hour as key reference lines for the current trading hour. The line colors rotate to provide a clear visual separation.
Bearish Sweep Signal: Identifies a specific bearish pattern: a green (bullish) candle that wicks above the previous hour's high but fails to hold, with its body remaining entirely below the line.
Bullish Sweep Signal: Identifies the opposite bullish pattern: a red (bearish) candle that wicks below the previous hour's low but is absorbed, with its body remaining entirely above the line.
Clear Visual Signals: When a signal is confirmed, the indicator provides a multi-faceted alert:
Plots a "Buy" or "Sell" arrow on the chart.
Draws a colored box around the signal candle for easy identification.
Displays a label with the potential Stop Loss size (calculated from the size of the signal candle).
Informative Display Table: Includes a convenient table in the corner showing the Open and Close data for the last 3 hours, helping you stay aware of the broader market context without leaving your chart.
Built-in Alerts: Triggers an alert for every confirmed Buy and Sell signal so you never miss a potential setup.
How to Use
This indicator helps you spot potential exhaustion and reversals at key hourly levels.
A "Sell" signal suggests a failed breakout to the upside, indicating potential weakness and a possible entry for shorts.
A "Buy" signal suggests a failed breakdown to the downside, indicating potential strength and a possible entry for longs.
As with any tool, these signals are most powerful when used as part of a comprehensive trading strategy and combined with your own analysis for confirmation.
Optimal Settings:
Timeframe: 5-Minute
Time Zone: UTC-4 (New York Time)
-ratheeshinv
多维度市场分析指标 v2 (区间框选)使用大周期MACD的能量柱作为背景用于识别趋势并且搭配上伦敦和纽约交易session
we are using a high time frame macd momentum as chart background to analysis a trend and using london and newyork session to help you trade better
Trigonometric Sine Cosine WavesTrigonometric Sine Cosine Waves - Advanced Cyclical Analysis
Overview
This innovative indicator applies trigonometric mathematics to market analysis, generating dynamic sine and cosine waves that adapt to price movement and volatility. Unlike traditional oscillators, this tool visualizes market cycles directly on your chart using mathematical wave functions.
How It Works
The indicator calculates phase-based waves using:
• Phase Calculation: 2π × bar_index / cycle_length
• Adaptive Amplitude: EMA-based price + ATR volatility scaling
• Sine Wave: avgPrice + volatility × sin(phase)
• Cosine Wave: avgPrice + volatility × cos(phase)
Key Features
Dynamic Wave Generation
• Sine Wave: Primary cycle indicator with smooth transitions
• Cosine Wave: Leading indicator (90° phase difference from sine)
• Adaptive Amplitude: Automatically adjusts to market volatility using ATR
Turning Point Detection
• Anti-Repaint Signals: Uses confirmed values from previous bars
• Sine Bottom: Potential buy zones when wave transitions from down to up
• Sine Top: Potential sell zones when wave transitions from up to down
Advanced Analytics
• Price Correlation Angle: Shows relationship between price movement and cycle
• Phase Information: Current position in the mathematical cycle
• Real-time Values: Live sine/cosine values and phase degrees
Visual Enhancement
• Background Coloring: Changes based on sine wave position (above/below zero)
• Clean Overlay: Waves plot directly on price chart without cluttering
Parameters
• Cycle Length (5-200): Controls wave frequency - shorter = more sensitive
• Amplitude Multiplier (0.1-5.0): Adjusts wave height relative to volatility
• Display Options : Toggle sine wave, cosine wave, and correlation table
• Show Correlation : Optional table showing mathematical values
Trading Applications
Cycle Analysis
• Identify market rhythm and timing
• Spot potential reversal zones
• Understand price-to-cycle relationships
Entry/Exit Timing
• Buy Signals: Sine wave bottoms (cycle lows)
• Sell Signals: Sine wave tops (cycle highs)
• Confirmation: Use with other indicators for higher probability setups
Market Structure
• Visualize underlying market cycles
• Identify periods of high/low cyclical activity
• Track phase relationships between price and mathematical cycles
Pro Tips
1. Longer cycles (50-100) work better for swing trading
2. Shorter cycles (10-20) suitable for scalping
3. Combine with volume for stronger signal confirmation
4. Monitor correlation angle for trend strength assessment
5. Use background color as quick visual cycle reference
Important Notes
• Signals are anti-repaint using confirmed previous bar values
• Best used in trending or cyclical markets
• Consider market context when interpreting signals
• Mathematical approach - not based on traditional TA concepts
Alerts Included
• Sine Wave Buy Signal: Triggered on wave bottom detection
• Sine Wave Sell Signal: Triggered on wave top detection
Technical Requirements
• Pine Script v6
• Works on all timeframes
• No external dependencies
• Optimized for performance
This is a free, open-source indicator. Feel free to modify and improve according to your trading needs!
Educational Value: Perfect for understanding how mathematical functions can be applied to market analysis and cycle detection.
NY/LDN/TOK Stock Exchange Opening HoursThis indicator displays vertical dotted lines marking the exact opening times of the three major global stock exchanges: New York (NYSE), London (LSE), and Tokyo (TSE). Perfect for traders who need to track market opening sessions across different time zones.
Features:
New York Stock Exchange (NYSE): 9:30 AM EST/EDT
London Stock Exchange (LSE): 8:00 AM GMT/BST
Tokyo Stock Exchange (TSE): 9:00 AM JST
Key Highlights:
✓ Automatic daylight saving time adjustments for NY and London
✓ Individual color customization for each market
✓ Toggle on/off functionality for each exchange
✓ Clean vertical dotted lines (1-pixel width) that extend across the entire chart
✓ Interactive legend in bottom-right corner showing active markets
✓ Weekdays only (Monday-Friday) - no weekend lines
✓ Uses official local time zones for accurate timing
Customizable Settings:
Enable/disable individual exchanges
Custom color selection for each market line
Dynamic legend that shows only enabled markets
Time Zone Handling:
The indicator automatically handles daylight saving time transitions using official time zones:
America/New_York (EST/EDT)
Europe/London (GMT/BST)
Asia/Tokyo (JST - no DST)
Perfect for:
Multi-market traders
Session overlap analysis
Global market timing coordination
Institutional trading schedules
Simply add to your chart and customize colors/visibility in the indicator settings. The legend will automatically update to show your active markets in their respective colors.
CRYPTOMATH RSI Pro+This custom RSI indicator was built for the Cryptomath community.
It features clean visual signals with color-coded zones that highlight overbought and oversold conditions, helping traders quickly spot potential reversal areas.
Great for swing traders and intraday decision-making.
Assets Correlation AnalyzerAssets Correlation Analyzer
---------------------------------------------
What is it?
The Assets Correlation Analyzer is a technical indicator that measures and visualizes the statistical relationship between any two financial assets (a 'Base Asset' vs. a 'Comparison Asset', example Gold vs. SPY or Nasdaq vs. Bitcoin). The indicator calculates dynamic correlation tracking using statistical methods, confidence intervals, and category-wide analysis capabilities.
---------------------------------------------
Why was it built? / Potential Benefits
This indicator was developed to help analyze inter-asset relationships in portfolio management and trading strategies. The indicator can be used for:
Risk Assessment: Identify when assets begin moving together
Diversification Analysis: Monitor portfolio component relationships
Pairs Trading: Identify when correlated assets diverge
Market Analysis: Recognize shifts in market conditions through correlation patterns
Asset Analysis: Support decision-making based on correlation dynamics
Hedging Analysis: Identify relationships between different instruments
---------------------------------------------
How it Works
The indicator employs established statistical methods to calculate rolling correlations between two selected assets:
Data Collection: Retrieves price data for both selected assets using TradingView's security function
Returns Calculation: Computes logarithmic or simple returns based on user preference
Outlier Filtering: Optionally removes extreme price movements (beyond 2.5 standard deviations) to improve accuracy
Correlation Computation: Calculates either Pearson or Spearman rank correlation over the specified period
Signal Generation: Applies smoothing and generates a signal line (EMA) for momentum detection
Confidence Assessment: Evaluates data quality and provides confidence metrics
---------------------------------------------
How to Read the Oscillator
Main Correlation Line
Values Range: -1.0 to +1.0
+1.0: Perfect positive correlation (assets move identically)
+0.7 to +0.99: Strong positive correlation
+0.3 to +0.69: Moderate positive correlation
-0.3 to +0.29: Weak/No significant correlation
-0.69 to -0.31: Moderate negative correlation
-0.99 to -0.7: Strong negative correlation
-1.0: Perfect negative correlation (assets move oppositely)
Color Coding System
Green shades: Positive correlation levels, with brighter green indicating stronger positive correlation
Red shades: Negative correlation levels, with brighter red indicating stronger negative correlation
Gray: Insufficient data or transitional periods
The color intensity reflects both correlation strength and momentum relative to the signal line.
Signal Line (Gray)
The EMA-based signal line helps identify momentum changes:
Correlation above signal: Positive momentum in correlation
Correlation below signal: Negative momentum in correlation
Crossovers: Potential turning points in the relationship
Background Fills
Gradient fills provide a quick visual assessment of correlation strength, with intensity indicating the degree of correlation.
---------------------------------------------
Correlation Calculation Methods and Options
Calculation Methods
Spearman Rank Correlation (Default)
Uses ranked values rather than raw prices
Less sensitive to outliers and non-linear relationships
Suitable for volatile or non-normally distributed assets
Pearson Correlation (Traditional)
Standard linear correlation method
More sensitive to outliers
Suitable for assets with normal distribution patterns
---------------------------------------------
Customization Options
Correlation Period (7-500 bars): Determines the lookback window for calculation
Signal Line Period (1-200 bars): Controls the smoothing of the signal line
Outlier Removal: Automatically filters extreme price movements
Return Type: Choose between logarithmic (recommended) or simple returns
Smoothing Period: Reduces noise in correlation readings
---------------------------------------------
Asset Categories
The indicator includes 80+ pre-configured assets across multiple categories:
Metals: Gold, Silver, Copper, Platinum, Palladium, Nickel, Zinc, Aluminum
Energy: WTI/Brent Crude, Natural Gas, Uranium
Agriculture: Corn, Soybeans, Wheat, Coffee
ETFs: Major indices, sector, geographic, and specialty ETFs
Bonds: Government and corporate bond instruments
Financial: Currency pairs, treasury yields, volatility indices
Cryptocurrencies: Major digital assets and market cap indices
Real Estate: REITs and real estate focused instruments
---------------------------------------------
For Whom This Indicator Is Designed
Intended Users
Portfolio Managers: Asset allocation and risk assessment
Quantitative Traders: Correlation-based strategy development
Risk Analysts: Correlation monitoring and analysis
Institutional Investors: Diversification analysis
Active Traders: Pairs trading and arbitrage analysis
Skill Level
Intermediate to Advanced: Requires understanding of correlation concepts and statistical interpretation
Experience with Statistics: Users should be familiar with correlation analysis concepts
---------------------------------------------
Information Tables
Main Analysis Table
Displays current correlation value, data confidence percentage, and selected asset information.
Category Correlation Table
Shows correlation strength between the selected 'Base Asset' (in the chart, Gold) and all assets in the comparison asset's category.
---------------------------------------------
Alert Conditions
Four built-in alert types:
Strong Stable Positive Correlation: Triggers when correlation exceeds +0.8 with low volatility
Strong Stable Negative Correlation: Triggers when correlation falls below -0.8 with low volatility
Bullish Correlation Momentum: Signals when correlation crosses above the signal line
Bearish Correlation Momentum: Signals when correlation crosses below the signal line
---------------------------------------------
Usage Notes
Longer periods (30-50 bars) provide more stable analysis
Shorter periods (10-20 bars) provide more responsive signals
Monitor confidence levels - correlations with <75% confidence should be interpreted cautiously
Correlations tend to increase during market stress periods
Should be used in conjunction with other analysis tools
---------------------------------------------
Important Disclaimer
This indicator is for educational and informational purposes only. It should not be considered as financial advice or a recommendation to buy, sell, or hold any financial instrument. Past correlation patterns do not guarantee future relationships between assets. Users should conduct their own research and consider consulting with a qualified financial advisor before making investment decisions. Trading and investing involve substantial risk of loss, and correlation analysis cannot eliminate these risks. The accuracy of correlation calculations depends on data quality and market conditions, which can change rapidly.
