Whale Flow Trend DetectorWhat This Solves
Traditional volume indicators treat all volume equally. A retail trader buying $100 gets the same weight as an institution moving $10M. This indicator separates whale activity from retail noise to show you when the big players are actually establishing trend positions.
How It Works
Whale Detection Engine:
Identifies volume spikes 1.5x+ average with meaningful price impact
Multi-factor conviction scoring based on volume, price movement, and follow-through
Filters out retail noise and exchange glitches
Trend Flow Analysis:
Tracks cumulative whale direction over time (bullish vs bearish flow)
Shows trend regime changes when whale sentiment shifts
Flow strength meter (-100 to +100) for trend conviction
Conviction Levels:
EXTREME (🐋): Massive volume + big moves + trend alignment + confirmation
HIGH: Strong volume + decent impact + some follow-through
MEDIUM: Above-average activity with minor price impact
Why Crypto-Specific
Crypto markets offer unique advantages for whale detection:
Transparent volume data across all exchanges
24/7 trading shows true institutional vs retail patterns
Whale activity is more visible than traditional markets
No dark pools hiding large orders
Key Features
✅ Real-time whale activity detection
✅ Cumulative flow tracking for trend direction
✅ Multi-timeframe regime analysis
✅ Conviction-based signal filtering
✅ 6 comprehensive alert types
✅ Live whale activity dashboard
✅ Background regime coloring
What You See
Green triangles: Bullish whale activity
Red triangles: Bearish whale activity
Flow line: Cumulative whale sentiment (rising = bullish, falling = bearish)
Conviction labels: Details on volume ratio and price impact
Background colors: Current market regime (bullish/bearish/sideways)
Best Usage
Works on all timeframes but optimal on 4H+ where whale patterns develop.
Perfect for:
Trend following strategies
Institutional flow analysis
Regime change detection
Entry timing with whale confirmation
The Edge
While others chase every volume spike, this indicator shows you when volume actually matters. When whales move, trends follow. When whale flow shifts, regimes change.
Settings Guidance
Conservative: 2.0x volume multiplier, 0.2% min impact
Balanced: 1.5x volume multiplier, 0.1% min impact (default)
Aggressive: 1.2x volume multiplier, 0.05% min impact
M-oscillator
Super QQE MODThis indicator combines smoothed RSI momentum, QQE trend lines, and histograms to highlight potential trend reversals and strong momentum moves. yellow bars indicate bullish momentum building, brownish bars indicate bearish momentum. Confirm trends with the white QQE line relative to its dynamic bands. Use the zone lines as oversold/overbought references. Adjust the RSI length, QQE factor, and thresholds for your timeframe and asset volatility to filter weaker signals.
It is an advanced oscillator and trend-following indicator combining:
RSI (Relative Strength Index) – smoothed and used to track momentum.
QQE (Quantitative Qualitative Estimation) – smooths RSI volatility and generates dynamic trailing bands.
highlights key turning points
Bollinger-style thresholds – visually flag overbought/oversold conditions relative to dynamic QQE bands.
Stochastic Divergence📊 How to Interpret the Levels
🔻 Bearish Divergence
61.8 level → Strong bearish divergence
If the price makes a higher high but the Stochastic makes a lower high near 61.8, it’s a high-conviction short.
69.1 level → Weak bearish divergence
The same setup, but at 69.1 it's valid, although less reliable. Treat it as a secondary confirmation.
🔺 Bullish Divergence
38.2 level → Strong bullish divergence
If price makes a lower low but Stochastic makes a higher low near 38.2, it’s a high conviction long.
30.9 level → Weak bullish divergence
Same setup, but at 30.9 is weaker. Supportive, but not primary.
🔄 Continuation
Bounce at the 50 line → Continuation.
If Stoch pulls back and holds/bounces off 50, it signals trend continuation (bullish if above, bearish if below).
⚖️ Hierarchy of Strength
61.8 / 38.2 → A-Tier (strongest divergence signals)
69.1 / 30.9 → B-Tier (secondary / softer signals)
50 → Continuation (trend confirmation, not reversal)
🧠 Why This Matters
Traditional Stochastic only looks at overbought (80) and oversold (20).
By layering in Fibonacci retracement levels, you refine where divergences have teeth.
This prevents false signals at weaker spots and helps you assess divergence strength accurately.
RCT FUSION PRO CMRCT FUSION PRO - Trading Strategy Description
Complete Trading System for Rafael Cepeda Trader's Community
STRATEGY CONCEPTUAL BASIS
Rafael Cepeda Trader's strategy is based on the synergistic combination of multiple indicators to identify optimal market entry and exit moments. It's a multitimeframe and multifactorial methodology that seeks convergent confirmations.
MAIN STRATEGY COMPONENTS
1. SQUEEZE MOMENTUM (Strategy Core)
Purpose: Detect market compression periods that precede explosive movements.
Key Signals:
Squeeze ON (Compression): Market consolidating, preparing for significant movement
Squeeze OFF (Expansion): Market begins directional movement
Histogram Colors:
Green/Lime: Bullish momentum
Red: Bearish momentum
Blue: Neutral market, no active squeeze
2. ADX + DM+ / DM- (Trend Confirmation)
Purpose: Measure trend strength and direction.
Interpretation:
ADX > 23: Strong trend (adjustable key level)
DM+ > DM-: Confirmed bullish trend
DM- > DM+: Confirmed bearish trend
ADX below 23: Range-bound market or weak trend
3. TTM WAVES A, B, C (Multitimeframe Analysis)
Purpose: Identify market structure across different timeframes.
Waves and Meaning:
Wave A (55 periods): Medium-term trend
Wave B (144 periods): Long-term trend
Wave C (233 periods): Primary or "macro" trend
SIGNAL AND CONFIRMATION SYSTEM
BUY SIGNAL (BULLISH SETUP)
Squeeze: Must be in expansion process (recent Squeeze OFF)
Momentum: Squeeze histogram in green/lime
Trend: ADX > 23 and DM+ > DM-
Confirmation: TTM Waves aligned bullishly (optional)
SELL SIGNAL (BEARISH SETUP)
Squeeze: Recent expansion after compression
Momentum: Squeeze histogram in red
Trend: ADX > 23 and DM- > DM+
Confirmation: TTM Waves showing bearish structure
WAIT OR EXIT SIGNAL
Active Squeeze ON: Market in compression, avoid entries
ADX < 23: Weak trend, higher probability of false breakouts
Frequent DM+ and DM- crosses: Volatile market without clear direction
RISK MANAGEMENT AND MONEY MANAGEMENT
ENTRY POINTS
Enter on the first or second candle after signal confirmation
Look for pullbacks toward moving averages or support/resistance levels
STOP LOSS
Place below recent low (for buys) or above recent high (for sells)
Use ATR (Average True Range) to determine stop distance
TAKE PROFIT
Target 1: 1:1 risk-reward ratio
Target 2: When Squeeze returns to compression
Target 3: When ADX begins weakening (< 23)
RECOMMENDED TIMEFRAME SETTINGS
INTRADAY (1-15 minutes)
Squeeze with standard parameters (20, 2.0, 20, 1.5)
ADX at 14 periods
Key Level at 20-23
SWING TRADING (1H-4H-Daily)
Squeeze with longer parameters (20-30 periods)
ADX at 14-20 periods
Key Level at 23-25
STRATEGY ADVANTAGES
✅ Multiple confirmations reduce false signals
✅ Identifies high-probability moments (post-squeeze)
✅ Works across multiple timeframes and markets
✅ Combines momentum and trend in one system
✅ Visually clear signals for quick decision making
IMPORTANT CONSIDERATIONS
⚠️ Requires practice to master combined interpretation
⚠️ Not a 100% winning system (none exists)
⚠️ Risk management is fundamental
⚠️ Recommended paper trading before using real capital
⚠️ Adapt parameters to each market and timeframe
RAFAEL CEPEDA TRADER'S PHILOSOPHY
The essence of this strategy is "trading less, but better". It focuses on quality over quantity, waiting for the highest probability setups where multiple indicators converge. Patience and discipline are the fundamental pillars.
"Money is made by waiting, not by trading" - Rafael Cepeda
INDICATOR COMPONENTS OVERVIEW
RCT FUSION PRO INCLUDES:
LazyBear's Squeeze Momentum (core oscillator)
Complete ADX System (ADX, DM+, DM-)
TTM Waves A, B, C (multitimeframe analysis)
Squeeze Compression Levels (momentum intensity)
Customizable Key Levels and parameters
Visual Alert System through color coding
UNIQUE FEATURES:
Integrated System: All components in one indicator
Community-Tested: Developed for Rafael Cepeda's trading community
Multi-Market: Works on stocks, forex, crypto, and commodities
User-Friendly: Clear visual signals for quick analysis
MOMENTUM FUSION PRO RCTMOMENTUM FUSION PRO - Technical Indicator Description
Overview
MOMENTUM FUSION PRO is a sophisticated trading indicator that combines the power of the Awesome Oscillator (AO) with the Average Directional Index (ADX) to provide comprehensive momentum and trend analysis in a single, unified tool.
Key Features
🎯 Dual Indicator Integration
Awesome Oscillator: Tracks market momentum with customizable EMA/SMA periods
ADX with DM+/DM-: Measures trend strength and directional movement
Key Level -7: Unique threshold for enhanced signal accuracy
🔍 Advanced Divergence Detection
Regular Bullish/Bearish Divergences: Early reversal signals
Hidden Bullish/Bearish Divergences: Trend continuation patterns
Smart Pivot Recognition: Automated swing point identification
⚡ Real-Time Alerts
Color Change Alerts: Momentum shifts in AO
Divergence Alerts: All four divergence types
Customizable Parameters: Adjustable sensitivity and timeframes
Technical Specifications
Core Components
text
- Awesome Oscillator (5,34 periods default)
- ADX (14 periods default)
- DM+ and DM- lines
- Key Level: -7 (customizable)
- Divergence Lookback: 5-60 bars
Visual Features
Color-Coded Columns: AO momentum visualization
Label Markers: Clear divergence identification
Multi-Line Display: ADX, DM+, DM- integrated scaling
Professional Layout: Clean, non-cluttered interface
Trading Applications
📈 Momentum Trading
Identify momentum shifts with AO color changes
Confirm trend strength with ADX above key levels
Spot entry/exit points with divergence signals
📊 Trend Analysis
Gauge trend direction with DM+ vs DM-
Assess trend strength with ADX values
Filter trades using momentum-trend alignment
🎯 Signal Confirmation
High-Probability Setups: AO divergence + ADX confirmation
Risk Management: Multiple timeframe alignment
Strategy Validation: Combined momentum and trend analysis
Unique Selling Points
🌟 All-in-One Solution
Replaces multiple separate indicators
Reduces chart clutter
Streamlines analysis process
🚀 Professional Grade
Advanced algorithm for accurate signals
Customizable for all trading styles
Suitable for all market conditions
💡 Intelligent Fusion
Seamless integration of momentum and trend
Smart scaling for optimal visualization
Adaptive to different instruments and timeframes
Ideal For
Day Traders - Quick momentum and trend assessment
Swing Traders - Reliable divergence and trend signals
Position Traders - Long-term momentum and trend alignment
Algorithmic Trading - Clear, programmable signals
Performance Benefits
Faster Analysis: Single indicator does the work of multiple tools
Higher Accuracy: Combined signals reduce false positives
Better Timing: Early divergence detection with trend confirmation
Enhanced Confidence: Multi-factor validation for trade decisions
"Where Momentum Meets Trend Strength - Trade with Professional Precision"
Premier Stochastic Oscillator [LazyBear, V2]This script builds on the well-known Premier Stochastic Oscillator (PSO) originally introduced by LazyBear, and adds a Z-Score extension to provide statistical interpretation of momentum extremes.
Features
Premier Stochastic Core: A smoothed stochastic calculation that highlights bullish and bearish momentum phases.
Z-Score Mapping: The PSO values are standardized into Z-Scores (from –3 to +3), quantifying the degree of momentum stretch.
Positive / Negative Z-Scores:
Positive Z values suggest momentum strength that can align with accumulation or favorable buying conditions.
Negative Z values indicate stronger bearish pressure, often aligning with selling or distribution conditions.
On-Chart Label: The current Z-Score is displayed on the latest bar for quick reference.
How to Use
Momentum Confirmation: Use the oscillator to confirm whether bullish or bearish momentum is intensifying.
Overextended Conditions: Extreme Z-Scores (±2 or beyond) highlight statistically stretched conditions, often preceding reversions.
Strategic Integration: Best applied in confluence with trend tools or higher-timeframe filters; not a standalone trading signal.
Originality
Unlike the standard PSO, this version:
Adds a Z-Score framework for objective statistical scaling.
Provides real-time labeling of Z values for clarity.
Extends the classic oscillator into a tool for both momentum detection and mean-reversion context.
Bollinger Band Oscillator v2 (Different between lower and upper)📌 Description
Bollinger Band Width Oscillator with MACD-style Histogram
This indicator visualizes the Bollinger Band Width as a slope-colored line and adds a MACD-style histogram to highlight momentum shifts in volatility.
Features
BB Width Line: Measures the distance between the upper and lower Bollinger Bands. The line changes color based on slope:
• Green → expanding width
• Red → contracting width
Signal Line: A moving average of the BB Width for smoother analysis.
MACD-style Histogram: Plots the difference between the BB Width and the Signal line with 4 distinct colors:
• Above 0 & rising → #26A69A
• Above 0 & falling → #B2DFDB
• Below 0 & falling → #FF5252
• Below 0 & rising → #FFCDD2
How to Use
Identify squeeze phases (low width) which often precede strong breakouts.
Use the histogram like MACD momentum to see whether volatility expansion is accelerating or fading.
Combine with trend or price action signals for confirmation and better timing.
Repulse OB/OS Z-Score (v2)This indicator is based on the original Repulse, developed by Eric Lefort — a professional trader and author from France. The Repulse is designed to gauge and display bullish and bearish pressure in the market, offering a unique lens on trend momentum and crowd behavior.
In this version, a Z-Scoring method has been added. By standardizing the Repulse values into Z-Scores, the indicator provides a clearer statistical interpretation of pressure extremes:
Positive Z-Scores highlight favorable conditions that can align with buying or accumulation zones.
Negative Z-Scores highlight conditions that often align with selling pressure or distribution zones.
This statistical framework transforms the Repulse into a more versatile tool — making it easier to detect when market pressure is stretched, mean-reverting, or entering potential reversal zones.
⚠️ As always, this indicator should not be used in isolation. It works best when combined with other forms of analysis or as part of a broader trading strategy.
AriVestHub_MACDPhilosophy and Function of AriVestHub_MACD
The AriVestHub_MACD is an enhanced version of the classic MACD indicator. By combining histogram extremum analysis with statistical logic, it provides a precise view of the true significance of market movements.
Core Functionality
1. Detecting MACD Histogram Extremes:
The indicator automatically identifies and stores the local maxima and minima of the MACD histogram. These extremum points form the basis for further analysis and plotting key levels.
2. Dynamic Threshold Levels (U15 and L55):
Based on the last N extremum points (user-defined), two critical lines are drawn:
o U15: The level above which the top 15% of recent histogram extrema lie.
o L55: The level below which the bottom 55% of recent histogram extrema lie.
These lines update dynamically on every bar, providing a real-time picture of market conditions.
3. Analyzing Distribution and Significance of Histogram Extremes:
By calculating the number of extrema above U15 and below L55, the indicator identifies which MACD movements have high, medium, or low significance. This allows traders to assess the real strength of MACD movements, even when their apparent size on the chart is misleading.
4. Statistical and Reliable Insights:
Instead of relying on guesswork or visual impressions, the indicator uses statistically grounded percentage analysis, ensuring decisions are consistent, objective, and repeatable.
Practical Benefits
• Identify key price levels and potential reversal zones
• Evaluate the significance of histogram movements
• Improve risk management and timing of entries/exits
• Adapt to market changes across different timeframes
Summary Philosophy
The AriVestHub_MACD focuses on extremum points and their distribution. Using dynamic threshold lines, it enables traders to:
• Distinguish highly significant moves from less important ones
• Accurately define support and resistance zones based on real data
• Make decisions based on statistically grounded insights
In essence, this indicator merges classic technical analysis with advanced statistical logic, empowering traders to operate more intelligently and data-driven.
RSI ScannerRSI Scanner
This script scans a custom list of symbols and displays their RSI values for a selected higher timeframe (default: 3M). It provides a quick way to monitor multiple markets in one place without switching charts.
Features:
Customizable timeframe for RSI calculation (default: 3M).
Adjustable RSI length and source input.
Flexible filter: display all symbols or only those with RSI above a chosen threshold.
Input your own list of symbols (stocks, forex, futures, crypto) via a text field.
Results displayed in a clean, table directly on the chart.
Automatic column split when the symbol list is long.
Table header shows selected timeframe and filter settings for clarity.
How to use:
Add the script to your chart.
Open the Inputs panel.
In Symbols List, enter the tickers you want to track, separated by commas (e.g. AAPL, TSLA, EURUSD, BTCUSD).
Set the desired Timeframe (e.g. 3M, 1M, W).
Adjust RSI Length and Source if needed.
Enable or disable filtering:
If filtering is enabled, only symbols with RSI ≥ the threshold will be shown.
If disabled, all entered symbols will be displayed.
The table in the top-right corner will update automatically on the last bar.
Use cases:
Monitor RSI across different asset classes on higher timeframes.
Quickly spot overbought symbols (e.g. RSI > 70) without switching charts.
Create a custom multi-market watchlist tailored to your strategy.
Squeeze Divergence Catalyst RCTqueeze Divergence Catalyst RCT
The "Squeeze Divergence Catalyst RCT" is an advanced Pine Script indicator designed to identify potential trend reversals by pinpointing classic and hidden divergences on the Squeeze Momentum oscillator. Building upon the foundational Squeeze Momentum concept, this tool integrates robust divergence detection algorithms to highlight discrepancies between price action and momentum, which often signal weakening trends or emerging opportunities.
Core Features:
Squeeze Momentum Oscillator (sz): Calculates and displays the core Squeeze Momentum histogram, representing the difference between price and its moving average relative to market range, smoothed by a linear regression.
Squeeze State Detection: Visualizes different market compression levels (High, Mid, Low Squeeze) using configurable Bollinger Bands and Keltner Channels, indicating periods of consolidation or potential breakout.
Advanced Divergence Detection: Employs sophisticated logic to automatically identify both regular (classic) and hidden divergences between the Squeeze Momentum oscillator (sz) and the price (highs/lows). It includes options for using data from two pivot points for more robust signals.
Visual Clarity: Divergences are clearly marked on the chart with colored lines connecting the price and oscillator pivots, accompanied by labels ("R" for regular, "H" for hidden) for easy identification.
Configurable Parameters: Offers extensive customization for divergence detection, including pivot lookback periods, minimum/maximum range for pivot detection, and toggles for plotting different types of divergences (bullish, bearish, hidden).
Repainting Control: Includes an option to delay the plotting of divergence signals until the candle is closed, reducing the chance of repainting and increasing reliability.
Built-in Alerts: Generates alerts when regular or hidden bullish/bearish divergences are detected, allowing for automated notification.
Purpose:
The indicator aims to act as a "catalyst" for traders by providing early warning signals (divergences) within the context of Squeeze Momentum analysis. It helps traders spot potential turning points where the underlying momentum (as measured by the Squeeze oscillator) fails to confirm new price extremes, potentially indicating a loss of trend strength and an opportunity for a reversal or pullback.
Algorithmic Value Oscillator [CRYPTIK1]Algorithmic Value Oscillator
Introduction: What is the AVO? Welcome to the Algorithmic Value Oscillator (AVO), a powerful, modern momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI, the AVO measures the current price relative to a significant, higher-timeframe Value Zone .
This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, " Where is the current price in relation to its recently established area of value? "
This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, all presented with a clean, futuristic aesthetic designed for the modern trader.
The Core Concept: Price vs. Value The market is constantly trying to find equilibrium. The AVO is built on the principle that the high and low of a significant prior period (like the previous day or week) create a powerful area of perceived value.
The Value Zone: The range between the high and low of the selected higher timeframe.
Premium Territory (Distribution Zone): When the oscillator moves into the glowing pink/purple zone above +100, it is trading at a premium.
Discount Territory (Accumulation Zone): When the oscillator moves into the glowing teal/blue zone below -100, it is trading at a discount.
Key Features
1. Glowing Gradient Oscillator: The main oscillator line is a dynamic visual guide to momentum.
The line changes color smoothly from light blue to neon teal as bullish momentum increases.
It shifts from hot pink to bright purple as bearish momentum increases.
Multiple transparent layers create a professional "glow" effect, making the trend easy to see at a glance.
2. Dynamic Volatility Histogram: This histogram at the bottom of the indicator is a custom volatility meter. It has been engineered to be adaptive, ensuring that the visual differences between high and low volatility are always clear and dramatic, no matter your zoom level. It uses a multi-color gradient to visualize the intensity of market volatility.
3. Volatility Regime Dashboard: This simple on-screen table analyzes the histogram and provides a clear, one-word summary of the current market state: Compressing, Stable, or Expanding.
How to Use the AVO: Trading Strategies
1. Reversion Trading This is the most direct way to use the indicator.
Look for Buys: When the AVO line drops into the teal "Accumulation Zone" (below -100), the price is trading at a discount. Watch for the oscillator to form a bottom and start turning up as a signal that buying pressure is returning.
Look for Sells: When the AVO line moves into the pink "Distribution Zone" (above +100), the price is trading at a premium. Watch for the oscillator to form a peak and start turning down as a signal that selling pressure is increasing.
2. Best Practices & Settings
Timeframe Synergy: The AVO is most effective when your chart timeframe is lower than your selected "Value Zone Source." For example, if you trade on the 1-hour chart, set your Value Zone to "Previous Day."
Confirmation is Key: This indicator provides powerful context, but it should not be used in isolation. Always combine its readings with your primary analysis, such as market structure and support/resistance levels.
RVGI with Editable Signal + EMA FilterRelative Vigor Index (RVGI) with Editable Signal + EMA Filter
This script enhances the standard RVGI by letting you set both the RVGI Length (green line) and the Signal Length (red line), which is not adjustable in TradingView’s default version. It also adds an optional EMA trend filter (1/14 by default) to highlight when the market is in a bullish trend.
Features:
Adjustable RVGI length (main green line).
Adjustable signal line smoothing (red line).
Optional EMA fast/slow filter (default 1/14).
Automatic BUY/SELL markers on RVGI crossovers when EMA filter is positive.
Alert conditions for long entries and exits.
This setup was optimized through backtesting for assets like Solana and AVAX, but inputs are fully configurable for use on any market and timeframe. Backtests conducted on daily timeframe.
Strategy tested
Entry rule: RVGI green line crosses above red line AND EMA 1 is above EMA 14.
Exit Rule: RVGI red line crosses above green
A simple strategy with remarkable back test results, tested on SOLUSDT (1D)
Strategy also tested on AVAXUSDT found RVGI settings length 44 signal 5 to be favourable for maximum return on investment.
All back testing on daily timeframe.
Katz Impact Wave 🚀Overview of the Katz Impact Wave 🚀
The Katz Impact Wave is a momentum oscillator designed to visualize the battle between buyers and sellers. Instead of combining bullish and bearish pressure into a single line, it separates them into two distinct "Impact Waves."
Its primary goal is to generate clear trade signals by identifying when one side gains control, but only when the market has enough volatility to be considered "moving." This built-in filter helps to avoid signals during flat or choppy market conditions.
Indicator Components: Lines & Plots
Impact Waves & Fill
Green Wave (Total Up Impulses): This line represents the cumulative buying pressure. When this line is rising, it indicates that bulls are getting stronger.
Red Wave (Total Down Impulses): This line represents the cumulative selling pressure. When this line is rising, it indicates that bears are getting stronger.
Colored Fill: The shaded area between the two waves provides an at-a-glance view of who is in control.
Lime Fill: Bulls are dominant (Green Wave is above the Red Wave).
Red Fill: Bears are dominant (Red Wave is above the Green Wave).
Background Color
The background color provides crucial context about the market state according to the indicator's logic.
Green Background: The market is in a bullish state (Green Wave is dominant) AND the Rate of Change (ROC) filter confirms the market is actively moving.
Red Background: The market is in a bearish state (Red Wave is dominant) AND the ROC filter confirms the market is actively moving.
Gray Background: The market is considered "not moving" or is in a low-volatility chop. Signals that occur when the background is gray should be viewed with extreme caution or ignored.
Symbols & Pivot Lines
▲ Blue Triangle (Up): This is your long entry signal. It appears on the bar where the Green Wave crosses above the Red Wave while the market is moving.
▼ Orange Triangle (Down): This is your short entry signal. It appears on the bar where the Red Wave crosses above the Green Wave while the market is moving.
Pivot Lines (Solid Green/Red/White Lines): These lines mark confirmed peaks of exhaustion in momentum, not price.
Green Pivot Line: Marks a peak in the Green Wave, signaling buying momentum exhaustion. This can be a warning that the uptrend is losing steam.
Red Pivot Line: Marks a peak in the Red Wave, signaling selling momentum exhaustion. This can be a warning that the downtrend is losing steam.
▼ Yellow Triangle (Compression): This rare signal appears when buying and selling exhaustion pivots happen at the same level. It signifies a point of extreme indecision or equilibrium that often occurs before a major price expansion.
Trading Rules & Strategy
This indicator provides entry signals but does not provide explicit Take Profit or Stop Loss levels. You must use your own risk management rules.
Long Trade Rules
Entry Signal: Wait for a blue ▲ triangle to appear at the top of the indicator panel.
Confirmation: Ensure the background color is green, confirming the market is in a bullish, moving state.
Action: Enter a long (buy) trade at the open of the next candle after the signal appears.
Short Trade Rules
Entry Signal: Wait for an orange ▼ triangle to appear at the bottom of the indicator panel.
Confirmation: Ensure the background color is red, confirming the market is in a bearish, moving state.
Action: Enter a short (sell) trade at the open of the next candle after the signal appears.
Take Profit (TP) & Stop Loss (SL) Ideas
You must develop and test your own exit strategy. Here are some common approaches:
Stop Loss:
Place a stop loss below the most recent significant swing low on the price chart for a long trade, or above the recent swing high for a short trade.
Use an ATR (Average True Range) based stop, such as 2x the ATR value below your entry for a long, to account for market volatility.
Take Profit:
Opposite Signal: The simplest exit is to close your trade when the opposite signal appears (e.g., close a long trade when a short signal ▼ appears).
Momentum Exhaustion: For a long trade, consider taking partial or full profit when a green Pivot Line appears, signaling that buying momentum is peaking.
Fixed Risk/Reward: Use a predetermined risk/reward ratio (e.g., 1:1.5 or 1:2).
Disclaimer
This indicator is a tool for analysis, not a financial advisor or a guaranteed profit system. All trading and investment activities involve substantial risk. You should not risk more than you are prepared to lose. Past performance is not an indication of future results. You are solely responsible for your own trading decisions, risk management, and for backtesting this or any other tool before using it in a live trading environment. This indicator is for educational purposes only.
Katz Exploding PowerBand FilterUnderstanding the Katz Exploding PowerBand Filter (EPBF) v2.4
1. Indicator Overview
The Katz Exploding PowerBand Filter (EPBF) is an advanced technical indicator designed to identify moments of expanding bullish or bearish momentum, often referred to as "power." It operates as a standalone oscillator in a separate pane below the main price chart.
Its primary goal is to measure underlying market strength by calculating custom "Bull" and "Bear" power components. These components are then filtered through a versatile moving average and a dual signal line system to generate clear entry and exit signals. This indicator is not a simple momentum oscillator; it uses a unique calculation based on exponential envelopes of both price and squared price to derive its values.
2. On-Chart Lines and Components
The indicator pane consists of five main lines:
Bullish Component (Thick Green/Blue/Yellow/Gray Line): This is the core of the indicator. It represents the calculated bullish "power" or momentum in the market.
Bright Green: Indicates a strong, active long signal condition.
Blue: Shows the bull component is above the MA filter, but the filter itself is still pointing down—a potential sign of a reversal or weakening downtrend.
Yellow: A warning sign that bullish power is weakening and has fallen below the primary signal lines.
Gray: Represents neutral or insignificant bullish power.
Bearish Component (Thick Red/Purple/Yellow/Gray Line): This line represents the calculated bearish "power" or downward momentum.
Bright Red: Indicates a strong, active short signal condition.
Purple: Shows the bear component is above the MA filter, but the filter itself is still pointing down—a sign of potential trend continuation.
Yellow: A warning sign that bearish power is weakening.
Gray: Represents neutral or insignificant bearish power.
MA Filter (Purple Line): This is the main filter, calculated using the moving average type and length you select in the settings (e.g., HullMA, EMA). The Bull and Bear components are compared against this line to determine the underlying trend bias.
Signal Line 1 (Orange Line): A fast Exponential Moving Average (EMA) of the stronger power component. It acts as the first level of dynamic support or resistance for the power lines.
Signal Line 2 (Lime/Gray Line): A slower EMA that acts as a confirmation filter.
Lime Green: The line turns lime when it is rising and the faster Signal Line 1 is above it, indicating a confirmed bullish trend in momentum.
Gray: Indicates a neutral or bearish momentum trend.
3. On-Chart Symbols and Their Meanings
Various characters are plotted at the bottom of the indicator pane to provide clear, actionable signals.
L (Pre-Long Signal): The first sign of a potential long entry. It appears when the Bullish Component rises and crosses above both signal lines for the first time.
S (Pre-Short Signal): The first sign of a potential short entry. It appears when the Bearish Component rises and crosses above both signal lines for the first time.
▲ (Post-Long Signal): A stronger confirmation for a long entry. It appears with the 'L' signal only if the momentum trend is also confirmed bullish (i.e., the slower Signal Line 2 is lime green).
▼ (Post-Short Signal): A stronger confirmation for a short entry. It appears with the 'S' signal only if the momentum trend is confirmed bullish.
Exit / Take-Profit Symbols:
These symbols appear when a power component crosses below a line, suggesting that momentum is fading and it may be time to take profit.
⚠️ (Exit Signal 1): The Bull/Bear component has crossed below the main MA Filter. This is the first and most sensitive take-profit signal.
☣️ (Exit Signal 2): The Bull/Bear component has crossed below the faster Signal Line 1. This is a moderate take-profit signal.
🚼 (Exit Signal 3): The Bull/Bear component has crossed below the slower Signal Line 2. This is the slowest take-profit signal, suggesting the trend is more definitively exhausted.
4. Trading Strategy and Rules
Long Entry Rules:
Initial Signal: Wait for an L to appear at the bottom of the indicator. This confirms that bullish power is expanding.
Confirmation (Recommended): For a higher-probability trade, wait for a green ▲ symbol to appear. This confirms the underlying momentum trend aligns with the signal.
Entry: Enter a long (buy) position on the opening of the next candle after the signal appears.
Short Entry Rules:
Initial Signal: Wait for an S to appear at the bottom of the indicator. This confirms that bearish power is expanding.
Confirmation (Recommended): For a higher-probability trade, wait for a maroon ▼ symbol to appear. This confirms the underlying momentum trend aligns with the signal.
Entry: Enter a short (sell) position on the opening of the next candle after the signal appears.
Take Profit (TP) Rules:
The indicator provides three levels of take-profit signals. You can choose to exit your entire position or scale out at each level.
For a long trade, exit when you see ⚠️, ☣️, or 🚼 appear below the Bullish Component.
For a short trade, exit when you see ⚠️, ☣️, or 🚼 appear below the Bearish Component.
Stop Loss (SL) Rules:
The indicator does not provide an explicit stop loss. You must use your own risk management rules. Common methods include:
Swing High/Low: For a long position, place your stop loss below the most recent significant swing low on the price chart. For a short position, place it above the most recent swing high.
ATR-Based: Use an Average True Range (ATR) indicator to set a volatility-based stop loss.
Fixed Percentage: Risk a fixed percentage (e.g., 1-2%) of your account on the trade.
5. Disclaimer
This indicator is a tool for technical analysis and should not be considered financial advice. All trading involves significant risk, and past performance is not indicative of future results. The signals generated by this indicator are probabilistic and can result in losing trades. Always use proper risk management, such as setting a stop loss, and never risk more than you are willing to lose. It is recommended to backtest this indicator and use it in conjunction with other forms of analysis before trading with real capital. The indicator should only be used for educational purposes.
Stochastic ExcessThe stochastic indicator is a technical analysis tool used in finance to assess the momentum of an asset’s price. It measures the current closing price relative to its price range over a specified period, usually a short one. This indicator helps identify overbought or oversold conditions, signaling when an asset might be about to reverse its trend.
Mongoose Unified Volatility Index (UVI) The Mongoose Unified Volatility Index (UVI) combines multiple volatility measures into a single normalized framework, helping traders track the full volatility cycle at a glance.
Methodology
UVI blends the following components:
Bollinger Band Width%
ATR% (Average True Range)
Historical Volatility (close-to-close)
Parkinson Volatility (high-low log range)
Donchian Width%
TR% (True Range percent)
Each input is normalized into a 0–100 scale and weighted. A smoothed EMA acts as a trend filter. Adaptive percentiles define Quiet / Neutral / Active regimes, making UVI responsive across assets and timeframes.
Features
Composite Line (UVI) with dynamic coloring
Green = volatility expanding above EMA
Red = volatility decaying below EMA
EMA Baseline (white) for context
Regime Shading (Quiet, Neutral, Active) based on adaptive percentiles
Expansion Signals (Exp Up / Exp Dn) when volatility crosses EMA around squeeze conditions
Compact Stats Table (top-right) showing UVI, Percentile, Squeeze state, and Regime
How to Use
Quiet → Exp Up: Prime breakout setups. Market energy igniting.
Active → Exp Dn: Trend exhaustion. Manage risk or fade extremes.
Neutral Regime: Mid-volatility, expect chop and tactical swings.
Gradient Fill: Quick bias check — green favors trend trades, red favors patience.
UVI is best used as a volatility state detector to time entries/exits around compressions and expansions, rather than a standalone buy/sell tool.
SuperSmoother MA OscillatorSuperSmoother MA Oscillator - Ehlers-Inspired Lag-Minimized Signal Framework
Overview
The SuperSmoother MA Oscillator is a crossover and momentum detection framework built on the pioneering work of John F. Ehlers, who introduced digital signal processing (DSP) concepts into technical analysis. Traditional moving averages such as SMA and EMA are prone to two persistent flaws: excessive lag, which delays recognition of trend shifts, and high-frequency noise, which produces unreliable whipsaw signals. Ehlers’ SuperSmoother filter was designed to specifically address these flaws by creating a low-pass filter with minimal lag and superior noise suppression, inspired by engineering methods used in communications and radar systems.
This oscillator extends Ehlers’ foundation by combining the SuperSmoother filter with multi-length moving average oscillation, ATR-based normalization, and dynamic color coding. The result is a tool that helps traders identify market momentum, detect reliable crossovers earlier than conventional methods, and contextualize volatility and phase shifts without being distracted by transient price noise.
Unlike conventional oscillators, which either oversimplify price structure or overload the chart with reactive signals, the SuperSmoother MA Oscillator is designed to balance responsiveness and stability. By preprocessing price data with the SuperSmoother filter, traders gain a signal framework that is clean, robust, and adaptable across assets and timeframes.
Theoretical Foundation
Traditional MA oscillators such as MACD or dual-EMA systems react to raw or lightly smoothed price inputs. While effective in some conditions, these signals are often distorted by high-frequency oscillations inherent in market data, leading to false crossovers and poor timing. The SuperSmoother approach modifies this dynamic: by attenuating unwanted frequencies, it preserves structural price movements while eliminating meaningless noise.
This is particularly useful for traders who need to distinguish between genuine market cycles and random short-term price flickers. In practical terms, the oscillator helps identify:
Early trend continuations (when fast averages break cleanly above/below slower averages).
Preemptive breakout setups (when compressed oscillator ranges expand).
Exhaustion phases (when oscillator swings flatten despite continued price movement).
Its multi-purpose design allows traders to apply it flexibly across scalping, day trading, swing setups, and longer-term trend positioning, without needing separate tools for each.
The oscillator’s visual system - fast/slow lines, dynamic coloration, and zero-line crossovers - is structured to provide trend clarity without hiding nuance. Strong green/red momentum confirms directional conviction, while neutral gray phases emphasize uncertainty or low conviction. This ensures traders can quickly gauge the market state without losing access to subtle structural signals.
How It Works
The SuperSmoother MA Oscillator builds signals through a layered process:
SuperSmoother Filtering (Ehlers’ Method)
At its core lies Ehlers’ two-pole recursive filter, mathematically engineered to suppress high-frequency components while introducing minimal lag. Compared to traditional EMA smoothing, the SuperSmoother achieves better spectral separation - it allows meaningful cyclical market structures to pass through, while eliminating erratic spikes and aliasing. This makes it a superior preprocessing stage for oscillator inputs.
Fast and Slow Line Construction
Within the oscillator framework, the filtered price series is used to build two internal moving averages: a fast line (short-term momentum) and a slow line (longer-term directional bias). These are not plotted directly on the chart - instead, their relationship is transformed into the oscillator values you see.
The interaction between these two internal averages - crossovers, separation, and compression - forms the backbone of trend detection:
Uptrend Signal : Fast MA rises above the slow MA with expanding distance, generating a positive oscillator swing.
Downtrend Signal : Fast MA falls below the slow MA with widening divergence, producing a negative oscillator swing.
Neutral/Transition : Lines compress, flattening the oscillator near zero and often preceding volatility expansion.
This design ensures traders receive the information content of dual-MA crossovers while keeping the chart visually clean and focused on the oscillator’s dynamics.
ATR-Based Normalization
Markets vary in volatility. To ensure the oscillator behaves consistently across assets, ATR (Average True Range) normalization scales outputs relative to prevailing volatility conditions. This prevents the oscillator from appearing overly sensitive in calm markets or too flat during high-volatility regimes.
Dynamic Color Coding
Color transitions reflect underlying market states:
Strong Green : Bullish alignment, momentum expanding.
Strong Red : Bearish alignment, momentum expanding.
These visual cues allow traders to quickly gauge trend direction and strength at a glance, with expanding colors indicating increasing conviction in the underlying momentum.
Interpretation
The oscillator offers a multi-dimensional view of price dynamics:
Trend Analysis : Fast/slow line alignment and zero-line interactions reveal trend direction and strength. Expansions indicate momentum building; contractions flag weakening conditions or potential reversals.
Momentum & Volatility : Rapid divergence between lines reflects increasing momentum. Compression highlights periods of reduced volatility and possible upcoming expansion.
Cycle Awareness : Because of Ehlers’ DSP foundation, the oscillator captures market cycles more cleanly than conventional MA systems, allowing traders to anticipate turning points before raw price action confirms them.
Divergence Detection : When oscillator momentum fades while price continues in the same direction, it signals exhaustion - a cue to tighten stops or anticipate reversals.
By focusing on filtered, volatility-adjusted signals, traders avoid overreacting to noise while gaining early access to structural changes in momentum.
Strategy Integration
The SuperSmoother MA Oscillator adapts across multiple trading approaches:
Trend Following
Enter when fast/slow alignment is strong and expanding:
A fast line crossing above the slow line with expanding green signals confirms bullish continuation.
Use ATR-normalized expansion to filter entries in line with prevailing volatility.
Breakout Trading
Periods of compression often precede breakouts:
A breakout occurs when fast lines diverge decisively from slow lines with renewed green/red strength.
Exhaustion and Reversals
Oscillator divergence signals weakening trends:
Flattening momentum while price continues trending may indicate overextension.
Traders can exit or hedge positions in anticipation of corrective phases.
Multi-Timeframe Confluence
Apply the oscillator on higher timeframes to confirm the directional bias.
Use lower timeframes for refined entries during compression → expansion transitions.
Technical Implementation Details
SuperSmoother Algorithm (Ehlers) : Recursive two-pole filter minimizes lag while removing high-frequency noise.
Oscillator Framework : Fast/slow MAs derived from filtered prices.
ATR Normalization : Ensures consistent amplitude across market regimes.
Dynamic Color Engine : Aligns visual cues with structural states (expansion and contraction).
Multi-Factor Analysis : Combines crossover logic, volatility context, and cycle detection for robust outputs.
This layered approach ensures the oscillator is highly responsive without overloading charts with noise.
Optimal Application Parameters
Asset-Specific Guidance:
Forex : Normalize with moderate ATR scaling; focus on slow-line confirmation.
Equities : Balance responsiveness with smoothing; useful for capturing sector rotations.
Cryptocurrency : Higher ATR multipliers recommended due to volatility.
Futures/Indices : Lower frequency settings highlight structural trends.
Timeframe Optimization:
Scalping (1-5min) : Higher sensitivity, prioritize fast-line signals.
Intraday (15m-1h) : Balance between fast/slow expansions.
Swing (4h-Daily) : Focus on slow-line momentum with fast-line timing.
Position (Daily-Weekly) : Slow lines dominate; fast lines highlight cycle shifts.
Performance Characteristics
High Effectiveness:
Trending environments with moderate-to-high volatility.
Assets with steady liquidity and clear cyclical structures.
Reduced Effectiveness:
Flat/choppy conditions with little directional bias.
Ultra-short timeframes (<1m), where noise dominates.
Integration Guidelines
Confluence : Combine with liquidity zones, order blocks, and volume-based indicators for confirmation.
Risk Management : Place stops beyond slow-line thresholds or ATR-defined zones.
Dynamic Trade Management : Use expansions/contractions to scale position sizes or tighten stops.
Multi-Timeframe Confirmation : Filter lower-timeframe entries with higher-timeframe momentum states.
Disclaimer
The SuperSmoother MA Oscillator is an advanced trend and momentum analysis tool, not a guaranteed profit system. Its effectiveness depends on proper parameter settings per asset and disciplined risk management. Traders should use it as part of a broader technical framework and not in isolation.
Momentum Shift Oscillator (MSO) [SharpStrat]Momentum Shift Oscillator (MSO)
The Momentum Shift Oscillator (MSO) is a custom-built oscillator that combines the best parts of RSI, ROC, and MACD into one clean, powerful indicator. Its goal is to identify when momentum shifts are happening in the market, filtering out noise that a single momentum tool might miss.
Why MSO?
Most traders rely on just one momentum indicator like RSI, MACD, or ROC. Each has strengths, but also weaknesses:
RSI → great for overbought/oversold, but often lags in strong trends.
ROC (Rate of Change) → captures price velocity, but can be too noisy.
MACD Histogram → shows trend strength shifts, but reacts slowly at times.
By blending all three (with adjustable weights), MSO gives a balanced view of momentum. It captures trend strength, velocity, and exhaustion in one oscillator.
How MSO Works
Inputs:
RSI, ROC, and MACD Histogram are calculated with user-defined lengths.
Each is normalized (so they share the same scale of -100 to +100).
You can set weights for RSI, ROC, and MACD to emphasize different components.
The components are blended into a single oscillator value.
Smoothing (SMA, EMA, or WMA) is applied.
MSO plots as a smooth line, color-coded by slope (green rising, red falling).
Overbought and oversold levels are plotted (default: +60 / -60).
A zero line helps identify bullish vs bearish momentum shifts.
How to trade with MSO
Zero line crossovers → crossing above zero suggests bullish momentum; crossing below zero suggests bearish momentum.
Overbought and oversold zones → values above +60 may indicate exhaustion in bullish moves; values below -60 may signal exhaustion in bearish moves.
Slope of the line → a rising line shows strengthening momentum, while a falling line signals fading momentum.
Divergences → if price makes new highs or lows but MSO does not, it can point to a possible reversal.
Why MSO is Unique
Combines trend + momentum + velocity into one view.
Filters noise better than standalone RSI/MACD.
Adapts to both trend-following and mean-reversion styles.
Can be used across any timeframe for confirmation.
Mean Reversion Probability Zones [BigBeluga]🔵 OVERVIEW
The Mean Reversion Probability Zones indicator measures the likelihood of price reverting back toward its mean . By analyzing oscillator dynamics (RSI, MFI, or Stochastic), it calculates probability zones both above and below the oscillator. These zones are visualized as histograms, colored regions on the main chart, and a compact dashboard, helping traders spot when the market is statistically stretched and more likely to revert.
🔵 CONCEPTS
Mean Reversion : The tendency of price to return to its average after significant extensions.
Oscillator-Based Analysis : Uses RSI, MFI, or Stochastic as the base signal for detecting overextension.
Probability Model : The probability of reversion is computed using three factors:
Whether the oscillator is rising or declining.
Whether the oscillator is above or below user-defined thresholds.
The oscillator’s actual value (distance from equilibrium).
Dual-Zone Output :
Upper histogram = probability of downward mean reversion.
Lower histogram = probability of upward mean reversion.
Historical Extremes : The dashboard highlights the recent maximum probability values for both upward and downward scenarios.
🔵 FEATURES
Oscillator Choice : Switch between RSI, MFI, and Stochastic.
Customizable Zones : User-defined upper/lower thresholds with independent colors.
Probability Histograms :
Above oscillator → down reversion probability.
Below oscillator → up reversion probability.
Colored Gradient Zones on Chart : Visual overlays showing where mean reversion probabilities are strongest.
Probability Labels : Percentages displayed next to histogram values for clarity.
Dashboard : Compact table in the corner showing the recent maximum probabilities for both upward and downward mean reversion.
Overlay Compatibility : Works in both chart pane and sub-pane with oscillators.
🔵 HOW TO USE
Set Oscillator : Choose RSI, MFI, or Stochastic depending on your strategy style.
Adjust Zones : Define upper/lower bounds for when oscillator values indicate strong overbought/oversold conditions.
Interpret Histograms :
Orange (upper) histogram → higher chance of a pullback/downward mean reversion.
Green (lower) histogram → higher chance of upward reversion/bounce.
Watch Gradient Zones : On the main chart, shaded areas highlight where probability of mean reversion is elevated.
Consult Dashboard : Use the “Recent MAX” values to understand how strong recent reversion probabilities have been in either direction.
Confluence Strategy : Combine with support/resistance, order flow, or trend filters to avoid counter-trend trades.
🔵 CONCLUSION
The Mean Reversion Probability Zones provides traders with an advanced way to quantify and visualize mean reversion opportunities. By blending oscillator momentum, threshold logic, and probability calculations, it highlights when markets are statistically stretched and primed for reversal. Whether you are a contrarian trader or simply looking for exhaustion signals to fade, this tool helps bring structure and clarity to mean reversion setups.
Pairs Trading Scanner [BackQuant]Pairs Trading Scanner
What it is
This scanner analyzes the relationship between your chart symbol and a chosen pair symbol in real time. It builds a normalized “spread” between them, tracks how tightly they move together (correlation), converts the spread into a Z-Score (how far from typical it is), and then prints clear LONG / SHORT / EXIT prompts plus an at-a-glance dashboard with the numbers that matter.
Why pairs at all?
Markets co-move. When two assets are statistically related, their relationship (the spread) tends to oscillate around a mean.
Pairs trading doesn’t require calling overall market direction you trade the relative mispricing between two instruments.
This scanner gives you a robust, visual way to find those dislocations, size their significance, and structure the trade.
How it works (plain English)
Step 1 Pick a partner: Select the Pair Symbol to compare against your chart symbol. The tool fetches synchronized prices for both.
Step 2 Build a spread: Choose a Spread Method that defines “relative value” (e.g., Log Spread, Price Ratio, Return Difference, Price Difference). Each lens highlights a different flavor of divergence.
Step 3 Validate relationship: A rolling Correlation checks if the pair is moving together enough to be tradable. If correlation is weak, the scanner stands down.
Step 4 Standardize & score: The spread is normalized (mean & variability over a lookback) to form a Z-Score . Large absolute Z means “stretched,” small means “near fair.”
Step 5 Signals: When the Z-Score crosses user-defined thresholds with sufficient correlation , entries print:
LONG = long chart symbol / short pair symbol,
SHORT = short chart symbol / long pair symbol,
EXIT = mean reversion into the exit zone or correlation failure.
Core concepts (the three pillars)
Spread Method Your definition of “distance” between the two series.
Guidance:
Log Spread: Focuses on proportional differences; robust when prices live on different scales.
Price Ratio: Classic relative value; good when you care about “X per Y.”
Return Difference: Emphasizes recent performance gaps; nimble for momentum-to-mean plays.
Price Difference: Straight subtraction; intuitive for similar-scale assets (e.g., two ETFs).
Correlation A rolling score of co-movement. The scanner requires it to be above your Min Correlation before acting, so you’re not trading random divergence.
Z-Score “How abnormal is today’s spread?” Positive = chart richer than pair; negative = cheaper. Thresholds define entries/exits with transparent, statistical context.
What you’ll see on the chart
Correlation plot (blue line) with a dashed Min Correlation guide. Above the line = green zone for signals; below = hands off.
Z-Score plot (white line) with colored, dashed Entry bands and dotted Exit bands. Zero line for mean.
Normalized spread (yellow) for a quick “shape read” of recent divergence swings.
Signal markers :
LONG (green label) when Z < –Entry and corr OK,
SHORT (red label) when Z > +Entry and corr OK,
EXIT (gray label) when Z returns inside the Exit band or correlation drops below the floor.
Background tint for active state (faint green for long-spread stance, faint red for short-spread stance).
The two built-in dashboards
Statistics Table (top-right)
Pair Symbol Your chosen partner.
Correlation Live value vs. your minimum.
Z-Score How stretched the spread is now.
Current / Pair Prices Real-time anchors.
Signal State NEUTRAL / LONG / SHORT.
Price Ratio Context for ratio-style setups.
Analysis Table (bottom-right)
Avg Correlation Typical co-movement level over your window.
Max |Z| The recent extremes of dislocation.
Spread Volatility How “lively” the spread has been.
Trade Signal A human-readable prompt (e.g., “LONG A / SHORT B” or “NO TRADE” / “LOW CORRELATION”).
Risk Level LOW / MEDIUM / HIGH based on current stretch (absolute Z).
Signals logic (plain English)
Entry (LONG): The spread is unusually negative (chart cheaper vs pair) and correlation is healthy. Expect mean reversion upward in the spread: long chart, short pair.
Entry (SHORT): The spread is unusually positive (chart richer vs pair) and correlation is healthy. Expect mean reversion downward in the spread: short chart, long pair.
Exit: The spread relaxes back toward normal (inside your exit band), or correlation deteriorates (relationship no longer trusted).
A quick, repeatable workflow
1) Choose your pair in context (same sector/theme or known macro link). Think: “Do these two plausibly co-move?”
2) Pick a spread lens that matches your narrative (ratio for relative value, returns for short-term performance gaps, etc.).
3) Confirm correlation is above your floor no corr, no trade.
4) Wait for a stretch (Z beyond Entry band) and a printed LONG / SHORT .
5) Manage to the mean (EXIT band) or correlation failure; let the scanners’ state/labels keep you honest.
Settings that matter (and why)
Spread Method Defines the “mispricing” you care about.
Correlation Period Longer = steadier regime read, shorter = snappier to regime change.
Z-Score Period The window that defines “normal” for the spread; it sets the yardstick.
Use Percentage Returns Normalizes series when using return-based logic; keep on for mixed-scale assets.
Entry / Exit Thresholds Set your stretch and your target reversion zone. Wider entries = rarer but stronger signals.
Minimum Correlation The gatekeeper. Raising it favors quality over quantity.
Choosing pairs (practical cheat sheet)
Same family: two index ETFs, two oil-linked names, two gold miners, two L1 tokens.
Hedge & proxy: stock vs. sector ETF, BTC vs. BTC index, WTI vs. energy ETF.
Cross-venue or cross-listing: instruments that are functionally the same exposure but price differently intraday.
Reading the cues like a pro
Divergence shape: The yellow normalized spread helps you see rhythm fast spike and snap-back versus slow grind.
Corr-first discipline: Don’t fight the “Min Correlation” line. Good pairs trading starts with a relationship you can trust.
Exit humility: When Z re-centers, let the EXIT do its job. The edge is the journey to the mean, not overstaying it.
Frequently asked (quick answers)
“Long/Short means what exactly?”
LONG = long the chart symbol and short the pair symbol.
SHORT = short the chart symbol and long the pair symbol.
“Do I need same price scales?” No. The spread methods normalize in different ways; choose the one that fits your use case (log/ratio are great for mixed scales).
“What if correlation falls mid-trade?” The scanner will neutralize the state and print EXIT . Relationship first; trade second.
Field notes & patterns
Snap-back days: After a one-sided session, return-difference spreads often flag cleaner intraday mean reversions.
Macro rotations: Ratio spreads shine during sector re-weights (e.g., value vs. growth ETFs); look for steady corr + elevated |Z|.
Event bleed-through: If one symbol reacts to news and its partner lags, Z often flags a high-quality, short-horizon re-centering.
Display controls at a glance
Show Statistics Table Live state & key numbers, top-right.
Show Analysis Table Context/risk read, bottom-right.
Show Correlation / Spread / Z-Score Toggle the sub-charts you want visible.
Show Entry/Exit Signals Turn markers on/off as needed.
Coloring Adjust Long/Short/Neutral and correlation line colors to match your theme.
Alerts (ready to route to your workflow)
Pairs Long Entry Z falls through the long threshold with correlation above minimum.
Pairs Short Entry Z rises through the short threshold with correlation above minimum.
Pairs Trade Exit Z returns to neutral or the relationship fails your correlation floor.
Correlation Breakdown Rolling correlation crosses your minimum; relationship caution.
Final notes
The scanner is designed to keep you systematic: require relationship (correlation), quantify dislocation (Z-Score), act when stretched, stand down when it normalizes or the relationship degrades. It’s a full, visual loop for relative-value trading that stays out of your way when it should and gets loud only when the numbers line up.
