RSI with 2-Pole FilterA momentum indicator that tells you if a stock is overbought or oversold.
RSI goes between 0 and 100.
70 = overbought (might fall)
<30 = oversold (might rise)
It often looks jagged or choppy on volatile days.
Think of this filter like a momentum smoother:
It still follows RSI closely,
But it doesn’t react to every little jiggle in price,
Which helps avoid false signals.
it keeps track of:
The current RSI,
The last 2 RSI values (inputs), and
The last 2 outputs (filtered RSIs).
It uses feedback to shape the output based on previous values, making it smoother than a simple moving average.
Oscillators
Degen Screener – ALTs vs. BTCDegen Screener – ALTs vs. BTC
🛠️ What This Script Does:
This multi-asset screener monitors up to 10 cryptocurrencies and compares their RSI strength relative to Bitcoin (BTC) — acting like BTC is the "north star." It's perfect for catching early shifts in momentum across the crypto market.
🎨 Color Logic:
RSI Column:
RSI < 30 → Green (oversold)
RSI > 70 → Red (overbought)
In between → Gray
Relative RSI Column:
0 → Green (stronger than BTC)
< 0 → Red (weaker than BTC)
Trend Column:
🤑 → Bullish shift (green background)
🖕 → Bearish shift (red background)
🔔 Alert Conditions:
Alerts fire when all three of these are true:
RSI is below 30 (oversold)
The asset is stronger than BTC
Momentum is turning bullish (🤑)
Perfect for spotting early reversals in oversold altcoins.
✅ How to Use:
Add the script to any chart (doesn’t matter which asset)
Customize the list of up to 10 symbols
Set your timeframe
Enable the alert condition: Relative RSI Signal
💡 Notes:
Script runs on whatever chart you’re on, but it pulls data from the 10 assets you select on your indicator.
⚠️ Disclaimer:
This tool is for educational and informational purposes only. It is not financial advice. Always do your own research.
OA - RS HistogramOA - RS Histogram Indicator
This indicator displays a histogram representation of Relative Strength (RS) analysis, helping traders visualize the momentum relationship between a security and a reference index.
Key Features:
RS Histogram: Shows the difference between the current RS ratio and its EMA smoothed line
Customizable Reference Index: Default set to XU100, but can be changed to any index
EMA Smoothing: Adjustable EMA period (default 21) for trend analysis
Visual Clarity: Histogram bars are colored aqua for positive values and purple for negative values
Zero Line Reference: Dotted gray line for easy identification of positive/negative zones
How It Works:
The indicator calculates the relative strength by comparing the normalized percentage changes of the current security against the selected reference index. A 5-period EMA is applied to the RS ratio, and then the difference between this smoothed RS line and a longer EMA (default 21 periods) is displayed as a histogram.
Technical Calculation:
Fetches reference index data with proper gap handling
Calculates normalized percentage changes for both security and index
Computes relative strength ratio
Applies EMA smoothing to reduce noise
Displays the difference as a histogram for clear momentum visualization
Customization Options:
Reference index selection (default: XU100)
EMA length adjustment (default: 21 periods)
Color customization for positive and negative histogram bars
Alert Conditions:
Histogram crossing above zero (potential bullish momentum shift)
Histogram crossing below zero (potential bearish momentum shift)
Usage:
This tool helps traders understand relative strength concepts through visual histogram representation. The zero-line crossovers can indicate momentum shifts in the security relative to the chosen benchmark index.
TZanalyserTZanalyser (Trend Zone Monitor With Trend Strength, Volume Focus And -Events Markers)
Before I used TrendZones to manage my portfolio I used Fibonacci Zone Oscillator as my favorite in the sub panel, accompanied with another subpanel indicator which I never published called IncliValue and also REVE Cohorts.
TZanalyser inherits Ideas and code from all three of them: The visual and the idea of using a channel as the basis for an oscillator depicted as a histogram, is taken from the FibZone Oscillator. The idea of providing a number to evaluate the trend is taken from IncliValue. The idea to create a horizontal line which indicates high and low volume focus completed with markers for volume events, is taken from REVE-cohorts.
These ideas are combined in one sleek visual called TZanalyser. TZ stand for TrendZones, because the histogram is based on it.
The histogram.
Depicted is the distance of the price from COG as percent. The distance between Upper Curve and Lower Curve is used as 100%. The values may reach between 300 and -300. The colors indicate in which zone the candle lives, blue in the blue zone, green in the green zone etc. Despite the absence of a gray zone, there are gray bars. These depict candles that wrap around COG. Because hl2 is used as price, some gray bars point up and others down. The orange and red bars point down because the orange and red downtrend zones are below COG.
Use of the histogram.
Sometimes I need to create a list of stocks which are in uptrend in monthly, weekly and daily charts from the stocks I follow in my universe. This job is done fast and easy by looking at the last bar of the histogram. The histogram also gives a quick evaluation of how the stock fared in the past.
The number.
Suppose I need to allocate some money to another stock, selected a few, looked into news and gurus and they look equally good. Then it is nice to be able to find out which has the best charts. Which one has the strongest uptrend. For this purpose this number can be consulted, because it indicates somehow the strength of the trend. It is an integer between 20 and -20, the closer to 20 the stronger the uptrend, closer to -20 indicates a stronger downtrend. The color of the background is the same as the last column of the histogram.
Volume focus and events
The horizontal lines depict volume focus, the line below the focus that comes with the uptrend columns pointing up, the one above the focus for the downtrend columns pointing down. Thes line have tree colors: maroon for high volume focus, green for normal volume and gray for low volume situations. Between the lines and the histogram triangles appear at volume events, a green triangle when the candle comes with high volume, i.e. 120-200 percent of normal, maroon when extreme volume, i.e. more than 200 percent of normal.
The direction of these triangles is that of the histogram, i.e. when the price is higher, direction is up and vice versa.
Take care and have fun.
Pure Price Action Momentum OscillatorComplete Trading Guide: Pure Price Action Momentum Oscillator
1. Script Overview
What It Does
Tracks real-time momentum strength (bullish/bearish acceleration)
Identifies dynamic support/resistance zones for momentum (not price)
Alerts when momentum breaks or holds critical levels
What It Doesn’t Do
Predict long-term trends (use with trend indicators)
Replace price-based S/R levels (use alongside them)
Work well in extreme choppiness (adjust settings or avoid)
2. Key Features & Components
Feature Purpose Visual Cue
Momentum Histogram Shows strength/direction of price acceleration Color-coded bars
Zero Line Bullish/bearish momentum baseline Gray line (0 level)
Support Zone (Blue) Momentum floor where bounces happen Blue horizontal line
Resistance Zone (Orange) Momentum ceiling where pullbacks start Orange horizontal line
Stateful Alerts Persistent signals until conditions reverse Green/Red labels
3. Best Timeframes & Markets
Market Recommended Timeframe Notes
Stocks 5min - 1H Works best with high liquidity
Forex 15min - 4H Avoid during major news spikes
Crypto 1H - 4H Use with volume confirmation
Futures 5min - 1H Ideal for intraday momentum trades
❌ Avoid: Tick charts, <1min (too noisy), >Daily (loses sensitivity).
4. Confirmation Tools (Must-Use Combos)
A. Trend Confirmation
200 EMA (Price Chart)
Only trade longs if price > 200 EMA + momentum supports
Only trade shorts if price < 200 EMA + momentum confirms
ADX (14)
Use when ADX > 25 (strong trend) + momentum aligns
B. Volume Confirmation
Volume Profile
Enter longs only if momentum breaks resistance at high-volume nodes
VWAP
Buy pullbacks when momentum holds support and price is above VWAP
C. Price Structure
Fibonacci Retracements
Look for momentum breaks at 61.8% Fib levels for high-probability trades
Market Structure (Higher Lows/Lower Highs)
Momentum breakouts work best when price confirms trend
5. Trading Signals & Execution Rules
A. Breakout Trades (High Momentum)
Signal Conditions Action
Resistance Broken Histogram > Orange Zone + Price > Key S/R Enter Long
Support Broken Histogram < Blue Zone + Price < Key S/R Enter Short
Stop Loss:
Longs: 1 tick below nearest swing low
Shorts: 1 tick above nearest swing high
Take Profit:
Trail using the opposite zone (exit long when momentum drops below support)
B. Reversal Trades (Momentum Exhaustion)
Signal Conditions Action
Resistance Holding Histogram rejects Orange Zone + Bearish candle Short Entry
Support Holding Histogram bounces off Blue Zone + Bullish candle Long Entry
Stop Loss:
Beyond the recent swing high/low
Take Profit:
At next key S/R level
6. Advanced Interpretation
A. Divergence Trading
Hidden Bullish Divergence:
Price makes higher low, but momentum makes lower low → Potential reversal up
Hidden Bearish Divergence:
Price makes lower high, but momentum makes higher high → Potential reversal down
B. Session-Based Trading
London Open (3 AM EST): Watch for momentum breaks with volume surge
NY Midday (10 AM - 12 PM EST): Best for trend continuation
Crypto (UTC Midnight): Often sees volatility spikes
7. Risk Management & Position Sizing
Risk per trade: 1-2% of account
Leverage: ≤5x for intraday, ≤2x for swing
Avoid trading:
First 15 mins after major news
Low-volume periods (e.g., forex after 5 PM EST)
8. Pro Tips for Consistency
✅ Wait for Close: Don’t trade wicks, wait for candle close beyond zones.
✅ Combine with Price Action: Only trade if momentum aligns with candlestick patterns (e.g., pin bars, engulfing).
✅ Adjust Lookback: Increase in choppy markets, decrease in trends.
9. Limitations & Fixes
Issue Solution
Whipsaws in choppy markets Increase Min Lookback to 30+
Slow reaction in trends Reduce Max Lookback to 50
False breakouts Require volume confirmation
Final Verdict
This script is best used as a momentum filter – not a standalone system. Combine with:
✔ Trend indicators (200 EMA, ADX)
✔ Volume analysis (VWAP, Volume Profile)
✔ Price structure (S/R, Fibs)
RSI Mansfield +RSI Mansfield+ – Adaptive Relative Strength Indicator with Divergences
Overview
RSI Mansfield+ is an advanced relative strength indicator that compares your instrument’s performance against a configurable benchmark index or asset (e.g., Bitcoin Dominance, S&P 500). It combines Mansfield normalization, adaptive smoothing techniques, and automatic detection of bullish and bearish divergences (regular and hidden), delivering a comprehensive tool for assessing relative strength across any market and timeframe.
Originality and Motivation
Unlike traditional relative strength scripts, this indicator introduces several distinctive improvements:
Mansfield Normalization: Scales the ratio between the asset and the benchmark relative to its moving average, transforming it into a normalized oscillator that fluctuates around zero, making it easier to spot outperformance or underperformance.
Adaptive Smoothing: Automatically selects whether to use EMA or SMA based on the market type (crypto or stocks) and timeframe (intraday, daily, weekly, monthly), avoiding manual configuration and providing more robust results under varying volatility conditions.
Divergence Detection: Identifies four types of divergences in the Mansfield oscillator to help anticipate potential reversal points or trend confirmations.
Multi-Market Support: Offers benchmark selection among major crypto and global stock indices from a single input.
These enhancements make RSI Mansfield+ more practical and powerful than conventional relative strength scripts with static benchmarks or without divergence capabilities.
Core Concepts
Relative Strength (RS): Compares price evolution between your asset and the selected benchmark.
Mansfield Normalization: Measures how much the RS deviates from its historical moving average, expressed as a scaled oscillator.
Divergences: Detects regular and hidden bullish or bearish divergences within the Mansfield oscillator.
Timeframe Adaptation: Dynamically adjusts moving average lengths based on timeframe and market type.
How It Works
Benchmark Selection
Choose among over 10 indices or market domains (BTC Dominance, ETH Dominance, S&P 500, European indices, etc.).
Ratio Calculation
Computes the price-to-benchmark ratio and smooths it with the adaptive moving average.
Normalization and Scaling
Transforms deviations into a Mansfield oscillator centered around zero.
Dynamic Coloring
Green indicates relative outperformance, red signals underperformance.
Divergence Detection
Automatically identifies bullish and bearish (regular and hidden) divergences by comparing oscillator pivots against price pivots.
Baseline Reference
A clear zero line helps interpret relative strength trends.
Usage Guidelines
Benchmark Comparison
Ideal for traders analyzing whether an asset is outperforming or lagging its sector or market.
Divergence Analysis
Helps detect potential reversal or continuation signals in relative strength.
Multi-Timeframe Compatibility
Can be applied to intraday, daily, weekly, or monthly charts.
Interpretation
Oscillator >0 and green: outperforming the benchmark.
Oscillator <0 and red: underperforming.
Bullish divergences: potential relative strength reversal to the upside.
Bearish divergences: possible loss of momentum or reversal to the downside.
Credits
The concept of Mansfield Relative Strength is based on Stan Weinstein’s original work on relative performance analysis. This script was built entirely from scratch in TradingView Pine Script v6, incorporating original logic for adaptive smoothing, normalized scaling, and divergence detection, without reusing any external open-source code.
Volume Velocity Range (VVR)Overview
The Volume Velocity Range (VVR) is an advanced momentum oscillator that combines price movement, volume dynamics, and statistical analysis to identify potential trend changes and market extremes. Operating on a 0-100 scale, VVR provides traders with a sophisticated view of market momentum that goes beyond traditional indicators.
Key Components
1. VVR Main Oscillator (0-100)
Measures the velocity of price movement weighted by volume participation
Incorporates advanced normalization techniques to maintain consistency across different market conditions
Green when above the 33rd percentile line (bullish momentum)
Red when below the 33rd percentile line (bearish momentum)
Smoothed calculation reduces noise while maintaining responsiveness
2. Dynamic 33rd Percentile Baseline
Adaptive reference line that adjusts to recent market behavior
Acts as the key threshold for color changes and momentum assessment
Automatically switches calculation method based on:
Crypto (Hourly): 168-period rolling window (7 days)
Stocks (Hourly): Expanding window (all available history)
Daily Timeframe: 20-period rolling for all assets
Three visual styles: Dotted, Step, or Thin line
Triangle markers indicate crossover points
3. Bottom Finder Indicator
Purple line analyzing volume absorption patterns
Measures the relationship between buying/selling pressure and price movement
Helps identify potential accumulation zones and market bottoms
Particularly useful during downtrends and consolidation periods
Visual Features
Trend Status Label
Real-time trend classification from "Strong Accel Up" to "Strong Accel Down"
Color-coded for quick visual reference
Updates dynamically as market conditions change
Fill Zones
Optional transparent fill between VVR and percentile line
Green when VVR is above the 33rd percentile (bullish bias)
Red when below (bearish bias)
Optional Components
VVR Slope indicator (hidden by default) for momentum rate analysis
Symbol type debugging label
ROC calculations available but hidden for advanced users
Trading Applications
Trend Identification
VVR above 33rd percentile (green) suggests bullish momentum
VVR below 33rd percentile (red) indicates bearish pressure
The 50 level serves as a general equilibrium point
Distance from percentile line indicates momentum strength
Reversal Signals
Crossovers of the 33rd percentile line are primary trend change signals
Green-to-red color changes warn of weakening momentum
Extreme readings (>80 or <20) may indicate overbought/oversold conditions
Bottom Finder divergences can signal accumulation
Risk Management
Use 33rd percentile line as dynamic support/resistance
Color changes provide immediate visual momentum shifts
Multiple timeframe analysis for confirmation
Alert Conditions
VVR crossing 50 (midline equilibrium)
VVR crossing 33rd percentile (primary signal)
Trend direction changes
Extreme level alerts (70/30)
Best Practices
For Crypto Trading
Utilizes 7-day rolling window on hourly charts
Adapts to 24/7 market dynamics
Particularly effective for momentum-based strategies
For Stock Trading
Expanding window captures long-term market character
Ideal for swing trading and position entries
Works well with volume-based strategies
Timeframe Considerations
Hourly: Best for short-term momentum trades
Daily: Optimal for swing trading positions
Automatically adjusts calculations based on timeframe
Customization Options
Adjust calculation periods for different trading styles
Toggle visual components based on preference
Color scheme fully customizable
Line styles and fills can be modified
Advanced Features
Intelligent asset detection (crypto vs stocks)
Automatic timeframe optimization
Statistical normalization for consistency
Safety mechanisms prevent extreme readings
This indicator represents a comprehensive approach to momentum analysis, combining traditional technical analysis concepts with modern statistical methods and adaptive calculations. It's designed for traders who need reliable signals across different market conditions and asset classes.
QQE + Signals RNEdited this to do away with larged signals of long and short to small triangles labeld only with QQE text
RSI Multi-Frame Multi-Asset
✅ Key Features:
Multi-Asset: Simultaneously analyze Bitcoin, SP500, Nasdaq, DXY, Gold, Oil, VIX and more
Multi-Timeframe: Configure any timeframe for all RSI calculations
Smart Average RSI: Automatically calculates the mean of all active RSI values
Special Data: Includes Bitcoin Hashrate, 10Y-2Y Spread, and US Interest Rates
Built-in Alerts: Automatic notifications on overbought/oversold crossovers
🎯 Why is it Unique?
Instead of looking at 10 different charts, you get an instant macro view of the market. The average RSI shows you the overall strength/weakness of global markets, while individual RSI values let you identify divergences and specific opportunities.
🚀 Perfect For:
Traders seeking correlations between assets
Global markets macro analysis
Identifying divergences between Bitcoin and traditional markets
Multi-timeframe breakout trading
Inflection PointInflection Point - The Adaptive Confluence Reversal Engine
This is not just another peak and valley indicator; it is a complete and total reimagining of how market turning points are detected, qualified, and acted upon. Born from the foundational concepts explored in systems like my earlier creation, DAFE - Turning Point, Inflection Point is a ground-up engineering feat designed for the modern trader. It moves beyond static rules and simple pattern recognition into the realm of dynamic, multi-factor confluence analysis and adaptive machine learning.
Where other indicators provide a guess, Inflection Point provides a probability. It meticulously analyzes the market's deepest currents—momentum, exhaustion, and reversal velocity—and fuses them into a single, unified "Confluence Score." This is not a simple combination of indicators; it is an intelligent, weighted system where each component works in concert, creating an analytical engine that is orders of magnitude more sophisticated and reliable than any standard reversal tool.
Furthermore, Inflection Point learns. Through its advanced Adaptive Learning Engine, it constantly monitors its own performance, adjusting its confidence and selectivity in real-time based on its recent success rate. This allows it to adapt its behavior to any security, on any timeframe, with remarkable success.
Theoretical Foundation - Confluence Core
Inflection Point's predictive power does not come from a single, magical formula. It comes from the intelligent synthesis of three critical market phenomena, weighted and scored in real-time to generate a single, high-conviction probability rating.
1. Factor One: Pre-Reversal Momentum State (RSI Analysis)
Instead of reacting to a simple RSI cross, Inflection Point proactively scans for the build-up of momentum that precedes a reversal.
• Formulaic Concept: It measures the highest RSI value over a lookback period for peaks and the lowest RSI for valleys. A signal is only considered valid if significant momentum has been established before the turn, indicating a stretched market condition ripe for reversal.
• Asymmetric Sophistication: The engine uses different, optimized thresholds for bull and bear momentum, recognizing that markets often fall faster than they rise.
2. Factor Two: Volatility Exhaustion (Bollinger Band Analysis)
A true reversal often occurs when price makes a final, exhaustive push into unsustainable territory.
• Formulaic Concept: The engine detects when price has significantly pierced the outer Bollinger Bands. This is not just a touch, but a statistical deviation from the mean that signals volatility exhaustion, where the energy for the current move is likely depleted.
3. Factor Three: Reversal Strength (Rate of Change Analysis)
The character of a reversal matters. A sharp, decisive turn is more significant than a slow, meandering one.
• Formulaic Concept: Using a short-term Rate of Change (ROC), the engine measures the velocity of the reversal itself. A higher ROC score adds significant weight to the final probability, confirming that the new direction has conviction.
4. The Final Calculation: The Adaptive Learning Engine
This is the system's "brain." It maintains a history of its past signals and calculates its real-time win rate. This hitRate is then used to generate an adaptiveMultiplier.
• Self-Correction: In "Quality Control" mode, a high win rate makes the indicator more selective, demanding a higher probability score to issue a signal, thereby protecting streaks. A lower win rate makes it slightly less selective to ensure it continues learning from new market conditions.
• The result is a system that is not static, but a living, breathing tool that adapts its personality to the unique rhythm of any chart.
Why Inflection Point is a Paradigm Shift
Inflection Point is fundamentally different from other reversal indicators for three key reasons:
Confluence Over Isolation: Standard indicators look at one thing (e.g., RSI > 70). Inflection Point simultaneously analyzes momentum, volatility, and velocity, understanding that true reversals are a product of multiple converging factors. It answers not just "if," but "why" a reversal is likely.
Probabilistic Over Binary: Other tools give you a simple "yes" or "no." Inflection Point provides a probability score from 0-100, allowing you to gauge the conviction of every potential signal. This empowers you to differentiate between a weak setup and an A+ opportunity.
Adaptive Over Static: Every other indicator uses the same rules forever. Inflection Point's Adaptive Engine means it is constantly refining its own logic based on what is actually working in the current market, on the specific asset you are trading. It is tailored to the now.
The Inputs Menu - Your Command Center
Every setting is a lever of control, allowing you to tune the engine to your precise trading style and market focus.
🧠 Neural Core Engine
Analysis Depth: This is the primary lookback for the Bollinger Band and other core calculations. A shorter depth makes the indicator faster and more sensitive, ideal for scalping. A longer depth makes it slower and more stable, ideal for swing trading.
Minimum Probability %: This is your master signal filter. It sets the minimum Confluence Score required to plot a signal. Higher values (85-95) will give you only the highest-conviction A+ setups. Lower values (70-80) will show more potential opportunities.
🤖 Adaptive Neural Learning
Enable Adaptive Learning Engine: Toggles the entire learning system. Disabling it will make the indicator's logic static.
Peak/Valley Success Threshold (ATR): This defines what constitutes a "successful" trade for the learning engine. A value of 1.5 means price must move 1.5x the ATR in your favor for the signal to be marked as a win. Adjust this to match your personal take-profit strategy.
Adaptive Mode: This dictates how the engine uses its hitRate. "Quality Control" is recommended for its intelligent filtering. "Aggressive" will always boost signal scores, useful for finding more setups in a known, trending environment.
Asymmetric Balance: Allows you to apply a "boost" to either peak (short) or valley (long) signals. If you find the market you're trading has stronger long reversals, you can increase the "Valley Signal Boost" to catch them more effectively.
🛡️ Elite Filters
Market Noise Filter: An exceptional tool for avoiding choppy markets. It counts the number of directional changes in the last 5 bars. If the market is whipping back and forth too much, it will block the signal. Lower the "Max Direction Changes" to be extremely selective.
Volume Filter: Requires signal confirmation from a significant volume spike. The "Volume Multiplier" dictates how large this spike must be (e.g., 1.2 = 20% above average volume). This is invaluable for filtering out low-conviction moves in stocks and crypto.
The Dashboard - Your Analytical Co-Pilot
The dashboard is not just a set of numbers; it is a holistic overview of the market's health and the engine's current state.
Unified AI Score: This section provides the most critical, at-a-glance information. "Total Score" is the current probability reading, while "Quality" gives you a human-readable interpretation. "Win Rate" shows the real-time performance of the Adaptive Engine.
Order Flow (OFPI): This measures the "weight" of money behind recent price moves by analyzing price change relative to volume. A high positive OFPI suggests strong buying pressure, while a high negative value suggests strong selling pressure. It gives you a peek into the market's underlying flow.
Component Analysis: This allows you to see the individual "Peak" and "Valley" confidence scores before they are filtered, giving you insight into building momentum before a signal forms.
Market Structure: This panel assesses the broader environment. "HTF Trend" tells you the direction of the larger trend (based on EMAs), while "Vol Regime" tells you if the market is in a high, medium, or low volatility state. Use this to align your signals with the broader market context.
Filter & Engine Statistics: Available on the "Large" dashboard, this provides deep insight into how many signals are being blocked by your filters and the current status of the Adaptive Engine's multiplier.
The Visual Interface - A Symphony of Data
Every visual element on the chart is designed for instant interpretation and insight.
Signal Markers: Simple, clean triangles mark the exact bar of a valid signal. A box is drawn around the high/low of the signal bar to highlight the precise point of inflection.
Dynamic Support/Resistance Zones: These are the glowing lines on your chart. They are not static lines; they are dynamic levels that represent the current battlefield between buyers and sellers.
Cyber Cyan (Valley Blue): This is the current Support Zone. This is the price level the market is currently trying to defend.
Neural Pink (Peak Red): This is the current Resistance Zone. This is the price level the market is currently trying to break through.
Grey (Next Level): This line is a projection, based on the current momentum and the size of the S/R range, of where the next major level of conflict will likely be. It acts as a potential price target.
Development & Philosophy
Inflection Point was not assembled; it was engineered. It represents hundreds of hours of research into market dynamics, statistical analysis, and machine learning principles. The goal was to create a tool that moves beyond the limitations of traditional technical analysis, which often fails in modern, algorithm-driven markets. By building a system based on multi-factor confluence and self-adaptive logic, Inflection Point provides a quantifiable, statistical edge that is simply unattainable with simpler tools. This is the result of a relentless pursuit of a better, more intelligent way to trade.
Universal Applicability
The principles of momentum, exhaustion, and velocity are universal to all freely traded markets. Because of its adaptive core and robust filtering options, Inflection Point has proven to be exceptionally effective on any security (stocks, crypto, forex, indices, futures) and on any timeframe (from 1-minute scalping charts to daily swing trading charts).
" Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected. "
— George Soros
Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
Ehlers Two-Pole StochasticThis indicator implements John Ehlers' Two-Pole Stochastic Filter, a smoother alternative to the traditional stochastic oscillator. Instead of relying on raw %K values, it applies a second-order IIR filter (recursive smoothing) to reduce noise and improve trend clarity.
It outputs a single line oscillating between 0 and 1, with less lag and false signals compared to standard stochastic implementations.
Key Features:
Uses a two-pole filter to smooth the normalized stochastic (%K).
Ideal for detecting clean reversals and trend continuations.
Designed for minimal visual noise and greater signal confidence.
Interpretation:
Values near 1.0 may suggest overbought conditions.
Values near 0.0 may suggest oversold conditions.
Crosses above 0.5 can signal bullish shifts, and below 0.5 bearish shifts.
Recommended Settings:
Default smoothing factor (alpha) is 0.7 — higher values make the output more responsive, while lower values smooth further.
Inspired by concepts from Cybernetic Analysis for Stocks and Futures by John F. Ehlers.
Crowding model ║ BullVision🔬 Overview
The Crypto Crowding Model Pro is a sophisticated analytical tool designed to visualize and quantify market conditions across multiple cryptocurrencies. By leveraging Relative Strength Index (RSI) and Z-score calculations, this indicator provides traders with an intuitive and detailed snapshot of current crypto market dynamics, highlighting areas of extreme momentum, crowded trades, and potential reversal points.
⚙️ Key Concepts
📊 RSI and Z-Score Analysis
RSI (Relative Strength Index) evaluates the momentum and strength of each cryptocurrency, identifying overbought or oversold conditions.
Z-Score Normalization measures each asset's current price deviation relative to its historical average, identifying statistically significant extremes.
🎯 Crowding Analytics
An integrated analytics panel provides real-time crowding metrics, quantifying market sentiment into four distinct categories:
🔥 FOMO (Fear of Missing Out): High momentum, potential exhaustion.
❄️ Fear: Low momentum, potential reversal or consolidation.
📈 Recovery: Moderate upward momentum after a downward trend.
💪 Strength: Stable bullish conditions with sustained momentum.
🖥️ Visual Scatter Plot
Assets are plotted on a dynamic scatter plot, positioning each cryptocurrency according to its RSI and Z-score.
Color coding, symbol shapes, and sizes help quickly identify main market segments (BTC, ETH, TOTAL, OTHERS) and individual asset conditions.
🧩 Quadrant Classification
Assets are categorized into four quadrants based on their momentum and deviation:
Overbought Extended: High RSI and positive Z-score.
Recovery Phase: Low RSI but positive Z-score.
Oversold Compressed: Low RSI and negative Z-score.
Strong Consolidation: High RSI but negative Z-score.
🔧 User Customization
🎨 Visual Settings
Bar Scale: Adjust the scatter plot visual scale.
Asset Visibility: Optionally display key market benchmarks (TOTAL, BTC, ETH, OTHERS).
Gradient Background: Enhances visual interpretation of asset clusters.
Crowding Analytics Panel: Toggle the analytics panel on/off.
📊 Indicator Parameters
RSI Length: Defines the calculation period for RSI.
Z-score Lookback: Historical lookback period for normalization.
Crowding Alert Threshold: Sets alert sensitivity for crowded market conditions.
🎯 Zone Settings
Quadrant Labels: Displays descriptive labels for each quadrant.
Danger Zones: Highlights extreme RSI levels indicative of heightened market risk.
📈 Visual Output
Dynamic Scatter Plot: Visualizes asset positioning clearly and intuitively.
Gradient and Grid: Professional gridlines and subtle gradient backgrounds assist visual assessment.
Danger Zone Highlights: Visually indicates RSI extremes to warn of potential market turning points.
Crowding Analytics Panel: Real-time summary of market sentiment and asset distribution.
🔍 Use Cases
This indicator is particularly beneficial for traders and analysts looking to:
Identify crowded trades and potential reversal points.
Quickly assess overall market sentiment and individual asset strength.
Integrate a robust momentum analysis into broader technical or fundamental strategies.
Enhance market timing and improve risk management decisions.
⚠️ Important Notes
This indicator does not provide explicit buy or sell signals.
It is intended solely for informational, analytical, and educational purposes.
Past performance and signals are not indicative of future market results.
Always combine with additional tools and analysis as part of comprehensive decision-making.
Quantum Harmonic Oscillator Overlay🧪 Quantum Harmonic Oscillator Overlay
A visual model of price behavior using quantum harmonic oscillation principles
📜 Indicator Overview
The Quantum Harmonic Oscillator Overlay applies concepts from both classical physics (harmonic motion) and quantum mechanics (energy states) to model and visualize how price orbits around a central trend line. It overlays a Linear Regression line (representing the “mean position” or ground state of price) and calculates surrounding energy levels (σ-zones) akin to quantum shells that price can "jump" between.
This indicator is particularly useful for visualizing mean reversion, volatility compression/expansion, and momentum-driven price breakthroughs.
🧠 Core Concepts
Linear Regression Line (LSR): This is the calculated center of gravity or equilibrium path of price over a user-defined period. Think of it like the lowest energy state or central axis around which price vibrates.
Standard Deviation Zones (σ-levels):
1σ: The majority of normal price activity; within this range, price tends to fluctuate if in balance.
2σ: Indicates volatility or possible breakout pressure.
3σ: Represents extreme movement — a phase shift in energy, potentially leading to reversal or continuation with higher momentum.
Quantum Analogy: Just like in a quantum harmonic oscillator, particles (here, prices) move probabilistically between discrete energy states. The further the price moves from the center, the more "energy" (momentum, volume, volatility) is implied.
⚙️ Input Parameters
Setting Description
Linear Regression Length The number of bars used to calculate the regression trend (default 100). Affects the central path and responsiveness.
σ Multipliers (1σ, 2σ, 3σ) Determine how far each band is from the regression line. Adjusting these can highlight different price behaviors.
Show Energy Level Zones Toggle visibility of the colored bands around the regression line.
Show LSR Center Line Toggles visibility of the white Linear Regression line itself.
🎨 Visual Components
Color Zone Interpretation
✅ Green ±1σ Normal oscillation / mean reversion area. Ideal for range-bound strategies.
🟧 Orange ±2σ Warning zone; price may be gaining momentum or volatility.
🔴 Red ±3σ High-momentum state or anomaly. These regions may imply trend exhaustion, reversals, or breakouts.
White Line: The LSR — the average trajectory of the price movement.
Pink Dots: Appear when price exceeds Zone 3 (outside ±3σ) — a signal of extreme behavior or a possible regime shift.
📈 How to Use This Indicator
1. Detect Overextensions
When price touches or breaches the 3σ zone, it is likely overextended. This can be used to anticipate potential snapbacks or strong breakout trends.
2. Identify Mean Reversion Trades
If price exits the 2σ or 3σ zones and returns toward the center line, this signals a likely mean reversion setup.
3. Volatility Compression or Expansion
Flat zones between σ levels suggest calm markets; widening bands suggest expanding volatility.
4. Use with Confirmation Tools
Combine with momentum oscillators (MACD, RSI) or volume-based signals to confirm reversals or continuation outside Zone 3.
🔮 Philosophical Note
This indicator embodies the metaphor that the market behaves like a quantum oscillator — price particles exist in a probabilistic field and jump between discrete zones of volatility and energy. Tracking these transitions allows the trader to see price behavior as rhythmic, wave-like, and multidimensional rather than purely linear.
Trend Strength Oscillator📌 Trend Strength Oscillator
📄 Description
Trend Strength Oscillator measures the directional strength of price relative to an adaptive dynamic trend band. It evaluates how far the current price is from the midpoint of a trend channel and normalizes this value by recent volatility range, allowing traders to detect trend strength, direction, and potential exhaustion in any market condition.
📌 Features
🔹 Adaptive Trend Band Logic: Uses a modified ATR and time-dependent spread formula to dynamically adjust upper and lower trend bands.
🔹 Trendline Midpoint Calculation: The central trendline is defined as the average between upper and lower bands.
🔹 Relative Positioning: Measures how far the close is from the center of the band as a percentage.
🔹 Range Normalization: Uses a normalized range to account for recent volatility, reducing noise in the oscillator reading.
🔹 Oscillator Output (±100 scale):
+100 indicates strong bullish momentum
-100 indicates strong bearish momentum
0 is the neutral centerline
🛠️ How to Use
✅ Trend Strength > +50: Indicates a strong bullish phase.
✅ Trend Strength < -50: Indicates a strong bearish phase.
⚠️ Crossing above 0: Potential bullish trend initiation.
⚠️ Crossing below 0: Potential bearish trend initiation.
📉 Values near 0: Suggest trend weakness or ranging conditions.
Best suited timeframes: 1H, 4H, Daily
Ideal combination with: RSI, MACD, volume-based oscillators, moving average crosses
✅ TradingView House Rules Compliance
This indicator is written in Pine Script v5 and fully open-source.
The script does not repaint, does not generate false alerts, and does not access external or private data.
It is intended strictly as a technical analysis tool, and not a buy/sell signal generator.
Users are encouraged to combine this tool with other confirmations and independent judgment in trading decisions.
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📌 Trend Strength Oscillator
📄 설명 (Description)
Trend Strength Oscillator는 가격이 동적 추세 밴드 내 어디에 위치해 있는지를 정량적으로 분석하여, 추세의 방향성과 강도를 시각적으로 보여주는 오실레이터 지표입니다. 최근 변동성을 반영한 밴드를 기반으로 가격 위치를 정규화하여, 과매수·과매도 상태나 추세의 소멸 가능성까지 탐지할 수 있도록 설계되었습니다.
📌 주요 특징 (Features)
🔹 적응형 추세 밴드 계산: ATR과 시간 경과를 기반으로 상단/하단 밴드를 동적으로 조정
🔹 중심 추세선 산출: 상단과 하단 밴드의 평균값을 중심선으로 활용하여 기준 축 제공
🔹 상대 위치 계산: 현재 종가가 중심선에서 얼마나 떨어져 있는지를 정규화하여 추세 강도 계산
🔹 변동성 기반 정규화: 최근 밴드 범위를 기준으로 상대 거리를 0~100 사이 값으로 변환
🔹 오실레이터 출력 (범위: ±100):
+100에 가까울수록 강한 상승 추세
-100에 가까울수록 강한 하락 추세
0에 가까울수록 횡보 구간 가능성
🛠️ 사용법 (How to Use)
✅ +50 이상: 강한 상승 추세 지속 중
✅ -50 이하: 강한 하락 추세 지속 중
⚠️ 0선 돌파 상향: 상승 추세 시작 가능성
⚠️ 0선 돌파 하향: 하락 추세 시작 가능성
🟡 0 근처 유지: 추세 약화 또는 횡보장 가능성
추천 시간대: 1시간봉, 4시간봉, 일봉
보조 지표로 추천: RSI, MACD, OBV, 이동평균 크로스 등과 함께 활용 시 효과적
✅ 트레이딩뷰 하우스룰 준수사항 (TradingView House Rules Compliance)
본 지표는 Pine Script v5로 작성된 오픈소스 공개용 스크립트입니다.
리페인트(Repaint) 현상이 없으며, **허위 경고(Spam Alerts)**나 성능 저하 요소도 없습니다.
외부 데이터 접근 없이 완전히 자체 계산으로 동작합니다.
이 지표는 투자 판단을 돕기 위한 분석용 도구이며, 직접적인 매수·매도 신호로 사용해서는 안 됩니다.
모든 트레이딩은 사용자의 독립적인 판단과 책임 하에 이루어져야 합니다.
[Top] VWAP + RSI Divergence IndicatorThe “VWAP RSI Divergence Indicator” combines the Volume Weighted Average Price (VWAP), Relative Strength Index (RSI), divergence detection, and volume confirmation to identify high-probability trading opportunities.
How It Works:
The indicator integrates three powerful methodologies:
1. Volume Weighted Average Price (VWAP):
VWAP calculates an average price weighted by volume, providing critical insights into the fair value of an asset within the trading session.
Includes standard deviation bands (+1/-1 and +2/-2) around the VWAP, offering key levels of support, resistance, and price extremities.
2. Relative Strength Index (RSI):
A momentum oscillator that measures the speed and change of recent price movements.
RSI levels define overbought and oversold conditions, offering traders insight into potential reversal zones.
3. Divergence Detection:
Identifies divergences between price action and RSI, signaling potential reversals or continuations.
Detects both Regular Divergences (signifying potential reversals) and Hidden Divergences (indicating possible continuation of current trends).
Core Features:
Real-Time Divergence Detection: Automatically detects and clearly labels Regular and Hidden Divergences with included tooltips to help you identify trading opportunities.
VWAP and Standard Deviation Bands: Visualizes important dynamic support/resistance levels on the chart.
RSI-Based Heat Map: Offers intuitive heat map coloring between standard deviation bands, colored dynamically according to RSI levels and divergence activity.
Optional Volume-Based Candle Coloring: Enhances visual insight by coloring candles according to volume relative to a moving average.
Customizable Alerts: Provides alerts for divergences and standard deviation band breaches, enabling traders to act swiftly.
What Makes It Unique:
Integrated Divergence and VWAP Analysis: Unlike typical divergence indicators, this tool uniquely combines RSI divergence signals with VWAP analysis, enhancing signal reliability by considering both price momentum and volume-weighted price dynamics.
Dynamic RSI Heat Map and Volume Coloring: Incorporates advanced visual customization through dynamic coloring based on RSI levels and divergences, as well as volume-based bar coloring, designed to allow you to understand detailed information at a glance.
How to Use:
Identify Divergences: Watch for divergence labels indicating potential reversals (Regular Divergence) or continuations (Hidden Divergence).
Monitor VWAP Bands: Use VWAP bands as dynamic support/resistance levels, particularly observing price reactions at +1/-1 and +2/-2 standard deviation extremes.
Volume Confirmation: Combine divergence signals with volume-colored bars to confirm strength or weakness behind potential moves.
Leverage Alerts: Enable customizable alerts to stay promptly informed about key divergences and price extremes, ensuring timely decision-making.
Mongoose Capital: BTC ETF DriftScope ProMongoose Capital: BTC ETF DriftScope Pro
A proprietary indicator for monitoring drift between Bitcoin Spot (BTCUSD) and Bitcoin Spot ETFs (such as IBIT). Designed to detect ETF premium/discount zones and generate actionable Fade or Long bias signals.
What it Does
Tracks IBIT and BTCUSD spread to highlight ETF price deviations.
Calculates correlation Z-Score for ETF/Spot alignment.
Outputs numeric bias signals: Fade (1), Long (1), Neutral (1).
How to Use
Apply to a BTCUSD chart (4H, 1D, or higher recommended).
Open the Data Window to view:
IBIT Spread %
Correlation Z-Score
Correlation %
Bias Flags (Fade, Long, Neutral)
Configure alerts for Fade and Long Bias conditions.
Confirm all signals with your trade plan and risk management.
Methodology
This tool calculates the percentage spread between IBIT and BTC Spot. A rolling Z-Score of the correlation is used to detect periods of significant divergence.
Fade Bias suggests potential short setups in premium zones with high Z-Scores.
Long Bias suggests potential long setups in discount zones with low Z-Scores.
Disclaimer
This indicator is for educational purposes only. It is not financial advice. Use at your own risk and verify signals independently.
Zero-Lag RSI DivergenceZero-Lag RSI Divergence
Overview
This indicator identifies RSI divergences in real-time without delay, providing immediate signals as price-momentum discrepancies develop. The indicator analyzes price action against RSI momentum across dual configurable periods, enabling traders to detect potential reversal opportunities with zero lag.
Key Features
Instant Divergence Detection : Identifies bullish and bearish divergences immediately upon formation without waiting for candle confirmation or historical validation. This eliminates signal delay but may increase false signals due to higher sensitivity.
Dual Period Analysis : Configure detection across two independent cycles - Short Period (default 15) and Long Period (default 50) - allowing for multi-timeframe divergence analysis and enhanced signal validation across different market conditions.
Visual Divergence Lines : Automatically draws dashed lines connecting divergence points between price highs/lows and corresponding RSI peaks/troughs, clearly illustrating the momentum-price relationship.
Customizable RSI Parameters : Adjustable RSI length (default 14) allows optimization for different market volatility and trading timeframes.
How It Works
The indicator continuously monitors price action patterns and RSI momentum:
- Bullish Divergence : Detected when price makes lower lows while RSI makes higher lows, suggesting potential upward momentum
- Bearish Divergence : Identified when price makes higher highs while RSI makes lower highs, indicating potential downward momentum
The algorithm uses candle color transitions and immediate RSI comparisons to trigger signals without historical repainting , ensuring backtesting accuracy and real-time reliability.
How To Read
Important Notes
Higher Signal Frequency : The zero-lag approach increases signal sensitivity, generating more frequent alerts that may include false signals. Consider using additional confirmation methods for trade entries.
Non-Repainting : All signals are generated and maintained without historical modification, ensuring consistent backtesting and forward-testing results.
Input Parameters
RSI Length: Period for RSI calculation (default: 14)
Short/Long Periods: Lookback periods for divergence detection (default: 15/50)
Line Colors: Customizable colors for short and long period divergence lines
Label Settings: Optional divergence labels with custom text
This indicator is designed for traders seeking immediate divergence identification across multiple timeframes while maintaining signal integrity and backtesting reliability.
RSI PotentialRSI Potential
This indicator does more than just track RSI; it measures the "energy" or "fuel" left in a trend. It answers a critical question: how much further can the price move before momentum is exhausted?
The key insight is that high momentum often means low potential, and vice versa. This inverse relationship is what allows the indicator to provide powerful, forward-looking signals about trend health and potential reversals.
Think of it like a race car:
Momentum is the car's current speed.
Potential is the amount of fuel left in the tank.
A car at top speed (high momentum) is burning fuel rapidly (potential is decreasing). A car just starting (low momentum) has a full tank of fuel (high potential). This indicator helps you see the fuel gauge, not just the speedometer.
This indicator plots three distinct components in a separate pane below your chart:
1. Upside Potential (Green Line)
What it shows: The percentage price increase required to hit the Overbought RSI Level. In other words, how much "fuel" is left for the upward trend.
How to interpret it:
Low Value (Approaching Zero): This is a warning sign. It means the price is already in high gear, and there is very little room left to run before hitting overbought exhaustion. Even if the price is rocketing up (high momentum), low potential signals the rally is likely on its last legs.
High Value: This indicates the market has a full tank of fuel for a rally. Even if the price is moving sideways or slowly (low momentum), the high potential suggests that if a new uptrend starts, it has the energy to be sustainable and significant.
2. Downside Potential (Red Line)
What it shows: The percentage price decrease required to hit the Oversold RSI Level—the "fuel" for a downtrend.
How to interpret it:
Low Value (Approaching Zero): A warning for bears. The price may be dropping fast (high momentum), but it's running out of energy to fall further. This signals seller exhaustion and increases the probability of a bounce or reversal.
High Value: The market has significant room to fall before becoming oversold. This can confirm the health of a new downtrend or suggest that a current downtrend has more to go.
3. Net Potential (Columns / Histogram)
What it shows: The net balance of energy: Upside Potential - Downside Potential. It answers, "Which side has more fuel in the tank?"
Intelligent Top & Bottom Finder v9.8 Keyvankh📈 Intelligent Top & Bottom Finder v9.8 Keyvankh
A next-generation all-in-one trading system for precise tops, bottoms, and reversals across all timeframes.
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🟢 Overview
This indicator is a powerful and intelligent solution for detecting market tops and bottoms, key reversals, and S/R zones with institutional-grade accuracy. Designed for traders seeking an edge in any market (crypto, forex, stocks), it combines advanced candlestick recognition, multi-indicator confirmation, smart support/resistance clustering, and strict signal filtering into one seamless tool.
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🔎 How Does It Work?
1. Advanced Support & Resistance Clustering
Automatically detects and draws high-probability support and resistance zones using dynamic ATR-based pivot clustering.
Highlights breakouts and retest (flip) zones in real-time, adapting to changing market structure.
2. Full Candlestick Pattern Recognition
Scans for 15+ classic and advanced patterns: Engulfing, Pin Bar, Doji, Three Bar, Marubozu, Hammer, Shooting Star, Three White Soldiers, Three Black Crows, Tweezer, Morning/Evening Star, Kicker, Belt Hold, and more.
Scores each pattern’s strength based on location (S/R zone, retest, breakout), volume context, and confirmation signals.
3. Multi-Indicator Confirmation Engine**
Integrates and scores confirmation from up to five additional sources:
RSI Games 1.2** (smoothed LTF momentum shifts)
MACD Divergence** (bullish/bearish momentum reversal)
QQE+ v7 Advanced** (dynamic volatility filter)
OBV Trend Filter** (volume-backed trend validation)
Volume Game** (net volume spike and reversal detection)
Each module can be enabled or disabled to fit your personal trading style.
4. Institutional S/R and Retest Logic
Real-time recognition of major trendline breaks, retest zones, and price flips.
Automatic labeling and coloring of S/R zones, retest boxes, and confirmation candles.
5. Smart Buy & Sell Signal Generation**
Combines all scoring modules with strict logical filters and “failsafe override” logic (guaranteeing signal on confirmed hammers, engulfings, etc. even if other filters disagree).
Plots clear “BUY” and “SELL” labels only when a strong, multi-factor signal appears—minimizing noise and maximizing reliability.
Built-in fallback logic (optional) for edge cases.
6. Alerts & Automation Ready
TradingView alerts for all BUY, SELL, or ANY signal conditions—perfect for auto-trading or notification setups.
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*⚙️ Customizable Inputs
Enable/Disable any module (RSI Games, MACD, OBV, QQE+, Candlestick Scanner, Volume Game)
Minimum Confirmations** required for a signal (1–10)
Pivot/Zone Sensitivity:** ATR multiplier, pivots per cluster, retest bar duration
LTF (Lower Timeframe) Confirmation:** Fully configurable
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📊 How To Use**
Apply on any timeframe and symbol**—crypto, stocks, forex, indices.
Use as a **standalone reversal/entry tool** or to confirm your own technical setups.
Combine with your favorite momentum, trend, or volume indicators for advanced confluence.
Set up **TradingView alerts** for auto-trading, Telegram/email notifications, or trade journaling.
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🟢 What Makes This Unique?
All-in-one multi-indicator fusion:** No more juggling a dozen scripts.
Institutional logic:** Goes beyond basic signals with true S/R, retest, and volume logic.
Full transparency:** Source code is clear and commented (if published open-source).
Fast and reliable:** Optimized for minimal lag and maximum accuracy.
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⚠️ Disclaimer**
This indicator is a tool to assist with trade timing and risk management. **No system is 100% accurate.** Always use in conjunction with your own analysis and risk management practices.
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📚 Credits & License**
Created by Keyvan Khodakhah.
You may use, modify, or share this script under the (mozilla.org).
Please credit the original author if you fork or reuse in public.
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Questions, feedback, or collaboration? Contact: Keyvankh
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Precision in technical analysis comes from layers of confluence and discipline. This tool brings that precision to your chart.
Triangular Fib🔍 Features
- Dynamic Lookback & Projection: Automatically adjusts the range and projection horizon based on timeframe changes.
- Triangular Fibonacci Arms: Projects fib levels upward and downward from high/low extremes to highlight potential price inflections.
- Volatility-Shaded Equilibrium: Visual zone highlights areas of consolidation or energy buildup before breakouts.
- Breakout Alerts: Detects and signals bullish/bearish breakouts from triangular fib thresholds.
- Auto-Traced Triangle Wedge: Dotted wedge lines visually represent narrowing price action from range extremes to midpoint.
Ideal for traders who seek visual clarity, price symmetry, and alert-driven decision-making across multiple timeframes. Whether you're swing trading or intraday scouting, this script provides a richly layered roadmap of market potential.
Not financial advice.
Hidden Markov ModelOverview
This model uses a Hidden Markov Model to identify and predict market regimes in real-time. It is designed to probabilistically identify market regime changes and predict potential reversal point using a forward algorithm to calculate the probability of a state.
Unlike traditional technical indicators that rely on price patterns or moving averages, this HMM analyses the underlying statistical structure of market movements to detect when the market transitions between different behavioural states such as trending, ranging, or volatile periods
How it works
The HMM assumes that market behavior follows hidden states that aren't directly observable, but can be inferred from observable market data (emissions). The model uses a (somewhat simplified) Bayesian inference to estimate these probabilities.
State 0: (Normal Trading): Market continuation patterns, balanced buying/selling
State 1: (Top Formation): Exhaustion patterns at price highs
State 2: (Bottom Formation): Capitulation patterns at price lows
How to use
1) Identify the trend (you can also use it counter-trend)
2) For longing, look for a green arrow. The probability values should be red. For shorting, look for a red arrow. The probability values should be green
3) For added confluence, look for high probability values of above 25%.
Advantages and what makes it unique
Unlike moving averages or oscillators that react to price changes, the HMM proactively identifies the underlying market structure. This forward-looking approach can signal regime changes before they become apparent in price action, providing traders with an informational edge.
52SIGNAL RECIPE Directional Consistency Index═══ 52SIGNAL RECIPE Directional Consistency Index (DCI) ═══
◆ Overview
52SIGNAL Directional Consistency Index (DCI) is a technical indicator that measures the directional consistency of market movements. This indicator focuses on the consistency of direction rather than the magnitude of price changes, analyzing the strength of market trends and providing more reliable trend analysis by filtering out noise to reflect only meaningful price movements.
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◆ Key Features
• Direction-Focused Analysis: Concentrates solely on directional consistency rather than magnitude of price changes
• Noise Filtering: Ignores insignificant price movements through minimum percentage change settings
• Trend Exhaustion Detection: Identifies potential trend reversals as values approach ±0.5 levels
• Intuitive Visualization: Instant recognition of trend direction through color changes based on rising/falling zones
• Multi-Market Application: Adaptable to various financial markets including stocks, cryptocurrencies, and forex
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◆ Technical Foundation
■ Directional Calculation
• Basic Principle: Counts only the up/down movement of each candle to measure directional consistency
• Calculation Method: Determines direction based on percentage change between current close and previous close
• Direction Values: Simplified into Rising (+1), Falling (-1), or Insignificant Change (0)
• Averaging: DCI calculated as the moving average of direction values over the specified period
■ Noise Filtering Mechanism
• Minimum Percentage Change: The minimum percent change required to consider a price movement significant
• Filtering Effect: Movements smaller than the minimum change are excluded from direction calculation (treated as 0)
• Enhanced Reliability: Adjustable filtering strength for optimization across different market environments
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◆ Practical Applications
■ Trend Identification & Reversal Prediction
• Early Uptrend Detection:
▶ When DCI enters the 0 to +0.3 range
▶ When recent directional consistency begins to consistently rise
• Early Downtrend Detection:
▶ When DCI enters the 0 to -0.3 range
▶ When recent directional consistency begins to consistently fall
• Trend Reversal Signals:
▶ When DCI approaches +0.5 (uptrend exhaustion, potential downward reversal)
▶ When DCI approaches -0.5 (downtrend exhaustion, potential upward reversal)
■ Trading Strategy Implementation
• Trend Following Strategies:
▶ Consider buying when DCI crosses above the 0 line
▶ Consider selling when DCI crosses below the 0 line
• Reversal Trading:
▶ Consider taking profits or short positions when DCI approaches +0.5
▶ Consider long positions when DCI approaches -0.5
• Divergence Confirmation:
▶ Weakening uptrend signal when price rises but DCI weakens
▶ Weakening downtrend signal when price falls but DCI strengthens
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◆ Advanced Setting Options
■ Period (Length) Settings
• Short-term Analysis: 5-10 days (faster signals, more sensitive responses)
• Medium-term Analysis: 10-20 days (balanced signals, recommended default)
• Long-term Analysis: 20-30 days (slower signals, long-term trend identification)
■ Minimum Percentage Change Settings
• Low Volatility Markets: 0.05-0.2% (suitable for forex markets)
• Medium Volatility Markets: 0.3-0.5% (suitable for stock markets)
• High Volatility Markets: 0.5-1.0% (suitable for cryptocurrency markets)
■ Settings by Trading Style
• Scalping: Lower period (5-10), lower minimum change (0.05-0.1%)
• Day Trading: Medium period (10-15), medium minimum change (0.2-0.3%)
• Swing Trading: Higher period (15-25), higher minimum change (0.3-0.5%)
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◆ Synergy with Other Indicators
• Moving Averages: Strengthen signals by confirming moving average crossovers when DCI crosses the 0 line
• RSI: Combine DCI trend direction with RSI overbought/oversold levels to confirm entry points
• MACD: Enhance reliability by pairing DCI directional signals with MACD momentum confirmation
• Bollinger Bands: Analyze volatility by checking Bollinger Band expansion/contraction when DCI approaches ±0.5
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◆ Conclusion
52SIGNAL Directional Consistency Index (DCI) is a powerful tool for objectively measuring market directionality and visualizing trend strength. The noise filtering through minimum percentage change settings can be adjusted to match your trading style and market characteristics for optimal results. Its ability to identify early trend stages and detect overextended zones provides traders with important entry and exit points. When used in conjunction with other technical indicators, it can significantly enhance the reliability of trading decisions.
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※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL 방향성 일관성 지수 (DCI) ═══
◆ 개요
52SIGNAL 방향성 일관성 지수(DCI)는 시장의 방향성 일관성을 측정하는 기술적 지표입니다. 이 지표는 가격 변화의 크기가 아닌 방향의 일관성에 중점을 두어 시장의 추세 강도를 분석하고, 노이즈 필터링 기능을 통해 의미 있는 가격 변동만을 반영하여 더 신뢰할 수 있는 추세 분석을 제공합니다.
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◆ 주요 특징
• 방향성 중심 분석: 가격 변화의 크기가 아닌 방향성에만 집중하여 추세의 일관성 측정
• 노이즈 필터링: 최소 변화율 설정을 통해 의미 없는 작은 가격 변동을 무시
• 추세 과열 감지: ±0.5 수준에 접근할 때 추세 전환 가능성 식별
• 직관적인 시각화: 상승/하락 구간에 따른 색상 변화로 추세 방향 즉각 인식
• 다양한 시장 적용: 주식, 암호화폐, 외환 등 다양한 금융 시장에 적용 가능
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◆ 기술적 기반
■ 방향성 계산
• 기본 원리: 각 캔들의 상승/하락 여부만 카운트하여 방향의 일관성 측정
• 계산 방법: 현재 종가와 이전 종가의 퍼센트 변화를 기준으로 방향 판단
• 방향 값: 상승(+1), 하락(-1), 의미 없는 변화(0)로 단순화
• 평균화: 설정된 기간 동안의 방향 값의 이동평균으로 DCI 산출
■ 노이즈 필터링 메커니즘
• 최소 변화율: 의미 있는 가격 변동으로 인정할 최소 퍼센트 변화
• 필터링 효과: 최소 변화율보다 작은 변동은 방향 계산에서 제외(0으로 처리)
• 신뢰도 향상: 필터링 강도 조절을 통해 다양한 시장 환경에 최적화 가능
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◆ 실용적 응용
■ 추세 식별 및 전환점 예측
• 상승 추세 초입:
▶ DCI가 0에서 +0.3 사이로 진입할 때
▶ 최근 방향성이 일관되게 상승하기 시작할 때
• 하락 추세 초입:
▶ DCI가 0에서 -0.3 사이로 진입할 때
▶ 최근 방향성이 일관되게 하락하기 시작할 때
• 추세 전환 신호:
▶ DCI가 +0.5에 가까워질 때 (상승 추세 과열, 하락 전환 가능성)
▶ DCI가 -0.5에 가까워질 때 (하락 추세 과열, 상승 전환 가능성)
■ 트레이딩 전략 적용
• 추세 추종 전략:
▶ DCI가 0선을 위로 돌파할 때 매수 고려
▶ DCI가 0선을 아래로 돌파할 때 매도 고려
• 반전 트레이딩:
▶ DCI가 +0.5에 근접할 때 이익실현 또는 매도 포지션 고려
▶ DCI가 -0.5에 근접할 때 매수 포지션 고려
• 다이버전스 확인:
▶ 가격은 상승하나 DCI가 약화될 때 상승 추세 약화 신호
▶ 가격은 하락하나 DCI가 강화될 때 하락 추세 약화 신호
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◆ 고급 설정 옵션
■ 기간(Length) 설정
• 단기 분석: 5-10일 (빠른 신호, 민감한 반응)
• 중기 분석: 10-20일 (균형 잡힌 신호, 기본 권장)
• 장기 분석: 20-30일 (느린 신호, 장기 추세 식별)
■ 최소 변화율(Minimum % Change) 설정
• 저변동성 시장: 0.05-0.2% (외환 시장에 적합)
• 중변동성 시장: 0.3-0.5% (주식 시장에 적합)
• 고변동성 시장: 0.5-1.0% (암호화폐 시장에 적합)
■ 트레이딩 스타일별 설정
• 스캘핑: 낮은 기간(5-10), 낮은 최소 변화율(0.05-0.1%)
• 데이 트레이딩: 중간 기간(10-15), 중간 최소 변화율(0.2-0.3%)
• 스윙 트레이딩: 높은 기간(15-25), 높은 최소 변화율(0.3-0.5%)
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◆ 다른 지표와의 시너지
• 이동평균선: DCI가 0선을 돌파할 때 이동평균 교차 확인으로 신호 강화
• RSI: DCI의 추세 방향과 RSI의 과매수/과매도 수준을 결합하여 진입점 확인
• MACD: DCI의 방향성 신호와 MACD의 모멘텀 확인을 결합하여 신뢰도 향상
• 볼린저 밴드: DCI가 ±0.5에 근접할 때 볼린저 밴드 확장/수축 확인으로 변동성 분석
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◆ 결론
52SIGNAL 방향성 일관성 지수(DCI)는 시장의 방향성을 객관적으로 측정하고 추세의 강도를 시각화하는 강력한 도구입니다. 최소 변화율 설정을 통한 노이즈 필터링은 각자의 트레이딩 성향과 시장 특성에 맞게 조정할 수 있어 최적의 효과를 누릴 수 있습니다. 추세의 초기 단계를 식별하고 과열 구간을 감지하는 능력은 트레이더에게 중요한 진입 및 퇴출 포인트를 제공합니다. 다른 기술적 지표와 함께 사용하면 트레이딩 결정의 신뢰도를 크게 향상시킬 수 있습니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
52SIGNAL RECIPE RSI Linreg Bands═══ 52SIGNAL RECIPE RSI Linreg Bands ═══
◆ Overview
52SIGNAL RECIPE RSI Linreg Bands is an advanced technical indicator that combines the RSI (Relative Strength Index) with Linear Regression Bands. This indicator visualizes the volatility of the RSI using linear regression bands, helping to clearly identify overbought/oversold areas and more accurately capture potential trend reversal points.
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◆ Key Features
• RSI-Based Overbought/Oversold Analysis: Uses the traditional RSI indicator to identify overbought/oversold conditions in the market
• Integrated Linear Regression Bands: Applies linear regression analysis to the RSI to visually represent the direction and strength of trends
• Dual Overbought/Oversold Levels: Sets overbought/oversold levels for both RSI and Linear Regression Bands to increase the accuracy of signals
• Advanced Visualization: Intuitive chart analysis is possible with color changes according to trend direction and clear band display
• Multiple Alert Settings: Alert functions for various conditions ensure you don't miss important trading moments
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◆ Technical Foundation
■ RSI (Relative Strength Index)
• Basic Settings: 14-period RSI with 5-period Weighted Moving Average (WMA) applied
• Calculation Method: Measures the relative strength of gains and losses, expressed as a value between 0-100
• Overbought/Oversold Levels: Default values set to 70 (overbought) and 30 (oversold)
■ Linear Regression Bands
• Period: Default value of 100 days
• Deviation: Default value of 2.5 standard deviations
• Center Line: The center line of the linear regression analysis for the RSI values
• Band Width: Displays the range of volatility around the center line based on the calculated standard deviation
• Overbought/Oversold Levels: Default values set to 85 (overbought) and 15 (oversold)
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◆ Practical Applications
■ Identifying Trading Signals
• Buy Signal:
▶ When the RSI falls below the oversold level (30)
▶ When the lower band of the Linear Regression Bands falls below the oversold level (15)
▶ When both conditions are met simultaneously (extreme oversold state) - a strong buy signal
• Sell Signal:
▶ When the RSI rises above the overbought level (70)
▶ When the upper band of the Linear Regression Bands rises above the overbought level (85)
▶ When both conditions are met simultaneously (extreme overbought state) - a strong sell signal
■ Trend Analysis
• Uptrend: When the linear regression center line is rising and the RSI is moving above the midline (50)
• Downtrend: When the linear regression center line is falling and the RSI is moving below the midline (50)
• Trend Strength: The wider the gap between the bands, the greater the volatility; the narrower, the more stable the trend
■ Divergence Confirmation
• Bearish Divergence: Price forms a new high, but the RSI is lower than the previous high (potential bearish signal)
• Bullish Divergence: Price forms a new low, but the RSI is higher than the previous low (potential bullish signal)
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◆ Advanced Setting Options
■ RSI Setting Adjustments
• RSI Source: Selectable options include Close (default), Open, High, Low, HL2, HLC3, OHLC4, etc.
• RSI Length: Adjust to lower values for short-term volatility, higher values for long-term trends
■ Linear Regression Setting Adjustments
• Period: Use lower values (20-50) for short-term analysis, higher values (100-200) for long-term analysis
• Deviation: Higher values create wider bands (more signals), lower values create narrower bands (more accurate signals)
■ Overbought/Oversold Level Adjustments
• RSI Levels: Adjust to more extreme values (80/20) in highly volatile markets
• Linear Regression Band Levels: Adjustable to 90/10 or 80/20 depending on market conditions
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◆ Synergy with Other Indicators
• Bollinger Bands: Use alongside Bollinger Bands on the price chart to compare price volatility with RSI volatility
• MACD: Use with MACD for momentum and trend confirmation
• Fibonacci Retracement: Check RSI Linreg Bands signals with key support/resistance levels
• Moving Averages: Combine moving average crossovers with RSI Linreg Bands signals to improve reliability
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◆ Conclusion
52SIGNAL RECIPE RSI Linreg Bands provides a powerful and accurate technical analysis tool by combining traditional RSI with linear regression analysis. The dual overbought/oversold system increases the accuracy of trading signals and clearly visualizes trend direction and strength to help traders make decisions. You can achieve optimal results by adjusting various settings to match your trading style and market conditions.
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※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE RSI 선형회귀 밴드 ═══
◆ 개요
52SIGNAL RECIPE RSI 선형회귀 밴드는 RSI(상대강도지수)와 선형회귀 밴드를 결합한 고급 기술적 지표입니다. 이 지표는 선형회귀 밴드를 사용하여 RSI의 변동성을 시각화하여 과매수/과매도 영역을 명확하게 식별하고 잠재적인 추세 반전 지점을 더 정확하게 포착하는 데 도움을 줍니다.
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◆ 주요 특징
• RSI 기반 과매수/과매도 분석: 전통적인 RSI 지표를 사용하여 시장의 과매수/과매도 상태를 식별
• 통합된 선형회귀 밴드: RSI에 선형회귀 분석을 적용하여 추세의 방향과 강도를 시각적으로 표현
• 이중 과매수/과매도 레벨: RSI와 선형회귀 밴드 모두에 과매수/과매도 레벨을 설정하여 신호의 정확도 향상
• 고급 시각화: 추세 방향에 따른 색상 변화와 명확한 밴드 표시로 직관적인 차트 분석 가능
• 다중 알림 설정: 다양한 조건에 대한 알림 기능으로 중요한 트레이딩 시점을 놓치지 않도록 보장
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◆ 기술적 기반
■ RSI (상대강도지수)
• 기본 설정: 14기간 RSI에 5기간 가중이동평균(WMA) 적용
• 계산 방법: 상승과 하락의 상대적 강도를 측정하여 0-100 사이의 값으로 표현
• 과매수/과매도 레벨: 기본값으로 70(과매수)과 30(과매도) 설정
■ 선형회귀 밴드
• 기간: 기본값 100일
• 편차: 기본값 2.5 표준편차
• 중심선: RSI 값에 대한 선형회귀 분석의 중심선
• 밴드 폭: 계산된 표준편차에 기반하여 중심선 주변의 변동성 범위 표시
• 과매수/과매도 레벨: 기본값으로 85(과매수)와 15(과매도) 설정
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◆ 실용적 응용
■ 트레이딩 신호 식별
• 매수 신호:
▶ RSI가 과매도 레벨(30) 아래로 떨어질 때
▶ 선형회귀 밴드의 하단이 과매도 레벨(15) 아래로 떨어질 때
▶ 두 조건이 동시에 충족될 때(극단적 과매도 상태) - 강한 매수 신호
• 매도 신호:
▶ RSI가 과매수 레벨(70) 위로 상승할 때
▶ 선형회귀 밴드의 상단이 과매수 레벨(85) 위로 상승할 때
▶ 두 조건이 동시에 충족될 때(극단적 과매수 상태) - 강한 매도 신호
■ 추세 분석
• 상승 추세: 선형회귀 중심선이 상승하고 RSI가 중간선(50) 위로 움직일 때
• 하락 추세: 선형회귀 중심선이 하락하고 RSI가 중간선(50) 아래로 움직일 때
• 추세 강도: 밴드 사이의 간격이 넓을수록 변동성이 크고, 좁을수록 추세가 안정적
■ 다이버전스 확인
• 약세 다이버전스: 가격이 신고점을 형성하지만 RSI가 이전 고점보다 낮을 때(잠재적 약세 신호)
• 강세 다이버전스: 가격이 신저점을 형성하지만 RSI가 이전 저점보다 높을 때(잠재적 강세 신호)
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◆ 고급 설정 옵션
■ RSI 설정 조정
• RSI 소스: 선택 가능한 옵션에는 종가(기본값), 시가, 고가, 저가, HL2, HLC3, OHLC4 등이 포함
• RSI 길이: 단기 변동성을 위해 낮은 값으로, 장기 추세를 위해 높은 값으로 조정
■ 선형회귀 설정 조정
• 기간: 단기 분석을 위해 낮은 값(20-50), 장기 분석을 위해 높은 값(100-200) 사용
• 편차: 높은 값은 더 넓은 밴드(더 많은 신호), 낮은 값은 더 좁은 밴드(더 정확한 신호) 생성
■ 과매수/과매도 레벨 조정
• RSI 레벨: 변동성이 큰 시장에서는 더 극단적인 값(80/20)으로 조정
• 선형회귀 밴드 레벨: 시장 상황에 따라 90/10 또는 80/20으로 조정 가능
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◆ 다른 지표와의 시너지
• 볼린저 밴드: 가격 차트의 볼린저 밴드와 함께 사용하여 가격 변동성과 RSI 변동성 비교
• MACD: 모멘텀과 추세 확인을 위해 MACD와 함께 사용
• 피보나치 되돌림: RSI 선형회귀 밴드 신호를 주요 지지/저항 레벨과 함께 확인
• 이동평균선: 이동평균 교차와 RSI 선형회귀 밴드 신호를 결합하여 신뢰성 향상
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◆ 결론
52SIGNAL RECIPE RSI 선형회귀 밴드는 전통적인 RSI와 선형회귀 분석을 결합하여 강력하고 정확한 기술적 분석 도구를 제공합니다. 이중 과매수/과매도 시스템은 트레이딩 신호의 정확도를 높이고 추세 방향과 강도를 명확하게 시각화하여 트레이더의 의사 결정을 돕습니다. 다양한 설정을 트레이딩 스타일과 시장 상황에 맞게 조정하여 최적의 결과를 얻을 수 있습니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Rifle UnifiedThis script is designed for use on 30-second charts of Dow Jones-related symbols (YM, MYM, US30). It provides automated buy and sell signals using a combination of price action, RSI (Relative Strength Index), and volume analysis. The script is intended for both live trading signals and backtesting, with configurable risk management and debugging features.
Core Functionality
1. Signal Generation Logic
Trigger: The algorithm looks for a sharp price move (drop or rise) of a user-defined threshold (default: 80 points) within a specified lookback window (default: 20 minutes).
Levels: It monitors for price drops below specific numerical levels ending in 23, 43, or 73 (e.g., 42223, 42273).
RSI Condition: When price falls below one of these levels and the RSI is below 30, the setup is considered active.
Buy Signal: A buy is triggered if, after setup:
Price rises back above the level,
The RSI rate of change (ROC) indicates exhaustion of the drop,
The current bar shows positive momentum.
2. Trade Management
Stop Loss & Take Profit: Configurable fixed or trailing stop loss and take profit levels are plotted and managed automatically.
Exit Signals: The script signals exit based on price action relative to these risk management levels.
3. Filters & Enhancements
Parabolic Move Filter: Prevents entries during extreme price moves.
Dead Cat Bounce Filter: Avoids false signals after sharp reversals.
Volume Filter: Optionally requires volume conditions for trade entries (especially for shorts).
Multiple Confirmation Layers : Includes checks for 5-minute RSI, momentum, and price retracement.
User Inputs & Customization
Trade Direction: Toggle between LONG and SHORT signal generation.
Trigger Settings: Adjust thresholds for price moves, lookback windows, RSI ROC, and volume requirements.
Trade Settings: Set take profit, stop loss, and trailing stop behavior.
Debug & Visualization: Enable or disable various plots, labels, and debug tables for in-depth analysis.
Backtesting: Integrated backtester with summary and detailed statistics tables.
Technical Features
Uses External Libraries: Relies on RifleShooterLib for core logic and BackTestLib for backtesting and statistics.
Multi-timeframe Analysis: Incorporates both 30-second and 5-minute RSI calculations.
Chart Annotations: Plots entry/exit points, risk levels, and debug information directly on the chart.
Alert Conditions: Built-in alert triggers for key events (initial move, stall, entry).
Intended Use
Markets: Dow Jones symbols (YM, MYM, US30, or US30 CFD).
Timeframe: 30-second chart.
Purpose: Automated signal generation for discretionary or algorithmic trading, with robust risk management and backtesting support.
Notable Customization & Extension Points
Momentum Calculation: Plans to replace the current momentum measure with "sqz momentum".
Displacement Logic: Future update to use "FVG concept" for displacement.
High-Contrast RSI: Optional visual enhancements for RSI extremes.
Time-based Stop: Consideration for adding a time-based stop mechanism.
This script is highly modular, with extensive user controls, and is suitable for both live trading and historical analysis of Dow Jones index movements
