Turtle N NormalizedSimple script that calculates the normalized value of N. Rules taken from an online PDF containing the original Turtle system:
"The Turtles used a volatility-based constant percentage risk position sizing algorithm. The Turtles used a concept that Richard Dennis and Bill Eckhardt called N to represent the underlying volatility of a particular market.
N is simply the 20-day exponential moving average of the True Range, which is now more commonly known as the ATR. Conceptually, N represents the average range in price movement that a particular market makes in a single day, accounting for opening gaps. N was measured in the same points as the underlying contract.
The Turtles built positions in pieces which we called Units. Units were sized so that 1 N represented 1% of the account equity. Thus, a unit for a given market or commodity can be calculated using the following formula:
Unit = 1% of Account/(N x Dollars per Point)"
To normalize the Unit formula, this script instead takes the value of (close/N). Dollars per point = 1 for stocks and crypto, but will change depending on the contract specifications for individual futures.
"Since the Turtles used the Unit as the base measure for position size, and since those units were volatility risk adjusted, the Unit was a measure of both the risk of a position, and of the entire portfolio of positions."
When the value of N is high, volatility is low and you should be more risk-on.
When the value of N is low, volatility is high and you should be more risk-off.
Cari dalam skrip untuk "Volatility"
Bermaui Deviation PercentHow it works
Red & Under 90 = Bearish Volatility
Blue & Under 90 = Bullish Volatility
Red & Under 10 = Strong Bearish Volatility
Blue & Under 10 = Strong Bullish Volatility
White & Over 90 = No Volatility (Indicating trendless chop)
I tried uploading this months ago but was banned or something from doing so.
originally created by Muhammad Elbermawi
www.mql5.com
Efficient Trend Step - Spotting Trends EfficientlyIntroduction
The trend-step indicator (or auto-line) was based on volatility and aimed to spot trends in an adaptive way, however the indicator was only based on volatility and didn't gave much attention to the trend, later on i would publish an efficient version of it (efficient auto-line) based on the efficiency ratio who could adapt to the trend and eliminate potential whipsaws trades, however this approach included many settings that would require changes if the user switched markets, which reduce the utility of the indicator and make it actually super inefficient.
This is why i had to propose this indicator who remove all the flaws the efficient auto-line had without removing the core idea of it.
The Indicator
The indicator is based on recursion, when the price is superior/inferior to the indicator precedent value +/- volatility metric, then the indicator is equal to the closing price, this allow the indicator to fit the price relatively well. The volatility metric used is based on 2 standard deviations, one fast and one slow and the efficiency ratio, basically when price is trending the volatility metric will be closer to the value of the fast standard deviations, which would allow the indicator to be closer to the price, else the metric will be closer to the slow standard deviation which restrain the indicator from changing, therefore the volatility metric act as a threshold.
length control the period of the efficiency ratio, lower values of length will result in a volatility metric way closer to the fast standard deviation thus making the indicator more inclined toward making false signals.
Lower values for slow will make the indicator more reactive.
The indicator can be reactive but can also be really conservative, thus even remaining unchanged in some contrary movements of the main trend, this is called robustness and has its pro's and con's.
Conclusion
The trend-step indicators family might get to an end, or not, nonetheless they can provide precise entries and be extremely robust, which is great. Using low settings might prove to be useful to remove some noise. I hope this version find its use amongst the community. Thanks for reading !
Squeeze PRO Arrows [Makit0]SQUEEZE PRO INDICATOR v0.5Beta
Script based in:
original John Carter's ideas (SQUEEZE & SQUEEZE PRO)
LazyBear's script (Squeeze Momentum Indicator)
USE IT IN CONJUNCTION WITH THE SQUEEZE PRO INDICATOR
This system is based in the volatility reversion to the mean: volatility contraction leads to volatility expansion and the other way on
The arrows signal is a warning of volatility compression, more often than not this leads to a expansion of volatility and a move in the action price usually bigger than the expected move
Be aware of the trend direction don't take the arrows direction as certanty, use instead the momentum histogram in the Squeeze PRO Indicator to see the slope direction
By default the arrows are setted at 5 dots, they fire in the sixth dot after 5 dots of the same color. Try differents values to get more or less signals
here are 3 levels of compression:
Level 1: ORANGE, the lesser compresion level
Level 2: RED, the normal level marked by the original squeeze indicator
Level 3: YELLOW, the max compression level
The more the compression the bigger the after move
Simple and Exponential Moving Averages
There are 2 groups of Moving Averages within the indicator, the 8 & 21 EMAs and the 50, 100 & 200 SMAs
They are disabled by default, turn it on at your peace
Please check the John Carter's book (Mastering the Trade) and attend his webinars for more insight about the squeeze & squeeze pro systems
I'm starting at trading and learning every day, I attended one of his webinars about the Squeeze Pro, and with help of the LazyBear's Squeeze Momentum Indicator code up the Squeeze PRO.
Please be aware, I'm not an expert trader, only a developer with an idea: learn to pull out money from the market in a consistent way.
This is a Beta version, please feel free to comment and give feedback, anything you consider iteresting, the more you elaborate the better :D
Thanks you all!!!
Bollinger Bands % | QuantEdgeB📊 Introducing Bollinger Bands % (BB%) by QuantEdgeB
🛠️ Overview
BB% | QuantEdgeB is a volatility-aware momentum tool that maps price within a Bollinger envelope onto a normalized scale. By letting you choose the base moving average (SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA) and even Heikin-Ashi sources, it adapts to your style while keeping readings consistent across symbols and timeframes. Clear thresholds and color-coded visuals make it easy to spot emerging strength, fading moves, and potential mean-reversions.
✨ Key Features
• 🔹 Flexible Baseline
Pick from 12 MA types (plus Heikin-Ashi source option) to tailor responsiveness and smoothness.
• 🔹 Normalized Positioning
Price is expressed as a percentage of the band range, yielding an intuitive 0–100 style read (can exceed in extreme trends).
• 🔹 Actionable Thresholds
Default Long 55 / Short 45 levels provide simple, objective triggers.
• 🔹 Visual Clarity
Color-coded candles, shaded OB/OS zones, and adaptive color themes speed up decision-making.
• 🔹 Ready-to-Alert
Built-in alerts for long/short transitions.
📐 How It Works
1️⃣ Band Construction
A moving average (your choice) defines the midline; volatility (standard deviation) builds upper/lower bands.
2️⃣ Normalization
The indicator measures where price sits between the lower and upper band, scaling that into a bounded oscillator (BB%).
3️⃣ Signal Logic
• ✅ Long when BB% rises above 55 (strength toward the top of the envelope).
• ❌ Short when BB% falls below 45 (weakness toward the bottom).
4️⃣ OB/OS Context
Shaded regions above/below typical ranges highlight exhaustion and potential snap-backs.
⚙️ Custom Settings
• Base MA Type: SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA
• Source Mode: Classic price or Heikin-Ashi (close/open/high/hlc3)
• Base Length: default 40
• Band Width: standard deviation-based (2× SD by default)
• Long / Short Thresholds: defaults 55 / 45
• Color Mode: Alpha, MultiEdge, TradingSuite, Premium, Fundamental, Classic, Warm, Cold, Strategy
• Candles & Labels: optional candle coloring and signal markers
👥 Ideal For
✅ Trend Followers — Ride strength as price compresses near the upper band.
✅ Swing/Mean-Reversion Traders — Fade extremes when BB% stretches into OB/OS zones.
✅ Multi-Timeframe Analysts — Compare band position consistently across periods.
✅ System Builders — Use BB% as a normalized feature for strategies and filters.
📌 Conclusion
BB% | QuantEdgeB delivers a clean, normalized read of price versus its volatility envelope—adaptable via rich MA/source options and easy to automate with thresholds and alerts.
🔹 Key Takeaways:
1️⃣ Normalized view of price inside the volatility bands
2️⃣ Flexible baseline (12+ MA choices) and Heikin-Ashi support
3️⃣ Straightforward 55/45 triggers with clear visual context
📌 Disclaimer: Past performance is not indicative of future results. No strategy guarantees success.
📌 Strategic Advice: Always backtest, tune parameters, and align with your risk profile before live trading.
New RSI📌 New RSI
The New RSI is a modern, enhanced version of the classic RSI created in 1978 — redesigned for today’s fast-moving markets, where algorithmic trading and AI dominate price action.
This indicator combines:
Adaptive RSI: Adjusts its calculation length in real time based on market volatility, making it more responsive during high volatility and smoother during calm periods.
Dynamic Bands: Upper and lower bands calculated from historical RSI volatility, helping you spot overbought/oversold conditions with greater accuracy.
Trend & Regime Filters: EMA and ADX-based detection to confirm signals only in favorable market conditions.
Volume Confirmation: Signals appear only when high trading volume supports the move — green volume for bullish setups and red volume for bearish setups — filtering out weak and unreliable trades.
💡 How it works:
A LONG signal appears when RSI crosses above the lower band and the volume is high with a bullish candle.
A SHORT signal appears when RSI crosses below the upper band and the volume is high with a bearish candle.
Trend and higher timeframe filters (optional) can help improve precision and adapt to different trading styles.
✅ Best Use Cases:
Identify high-probability reversals or pullbacks with strong momentum confirmation.
Avoid false signals by trading only when volume validates the move.
Combine with your own support/resistance or price action strategy for even higher accuracy.
⚙️ Fully Customizable:
Adjustable RSI settings (length, volatility adaptation, smoothing)
Dynamic band sensitivity
Volume threshold multiplier
Higher timeframe RSI filter
Color-coded background for market regime visualization
This is not just another RSI — it’s a complete, next-gen momentum tool designed for traders who want accuracy, adaptability, and confirmation in every signal.
Volatility Wick Trap — Smart Reversal EngineThe Volatility Wick Trap — Smart Reversal Engine is a precision reversal detection tool designed for traders who rely on smart money footprints, volatility compression, and liquidity wick exhaustion to time entries near market turns.
💡 Core Components:
Volatility Squeeze Detection: Identifies candles where range compresses significantly compared to the 14-period average true range, highlighting potential breakout zones.
Liquidity Wick Exhaustion: Detects candles with dominant upper or lower wicks, signaling failed liquidity grabs or stop hunts.
Contextual EMA Filter: Uses a 21-period EMA to filter signals, improving accuracy by aligning with market structure bias.
🔍 How It Works:
Green diamond lines mark bullish hidden reversal zones.
Red diamond lines mark bearish hidden reversal traps.
These lines only appear when volatility compresses and wick traps are confirmed within the trend context.
✅ Clean. Minimal. Tactical.
Ideal for scalpers, swing traders, and smart money enthusiasts looking to fade emotional price spikes.
NQ Phantom Scalper Pro# 👻 NQ Phantom Scalper Pro
**Advanced VWAP Mean Reversion Strategy with Volume Confirmation**
## 🎯 Strategy Overview
The NQ Phantom Scalper Pro is a sophisticated mean reversion strategy designed specifically for Nasdaq 100 (NQ) futures scalping. This strategy combines Volume Weighted Average Price (VWAP) bands with intelligent volume spike detection to identify high-probability reversal opportunities during optimal market hours.
## 🔧 Key Features
### VWAP Band System
- **Dynamic VWAP Bands**: Automatically adjusting standard deviation bands based on intraday volatility
- **Multiple Band Levels**: Configurable Band #1 (entry trigger) and Band #2 (profit target reference)
- **Flexible Anchoring**: Choose from Session, Week, Month, Quarter, or Year-based VWAP calculations
### Volume Intelligence
- **Volume Spike Detection**: Only triggers entries when volume exceeds SMA by configurable multiplier
- **Relative Volume Display**: Real-time volume strength indicator in info panel
- **Optional Volume Filter**: Can be disabled for testing alternative setups
### Advanced Time Management
- **12-Hour Format**: User-friendly time inputs (9 AM - 4 PM default)
- **Lunch Filter**: Automatically avoids low-liquidity lunch period (12-2 PM)
- **Visual Time Zones**: Color-coded background for active/inactive periods
- **Market Hours Focus**: Optimized for peak NQ trading sessions
### Smart Risk Management
- **ATR-Based Stops**: Volatility-adjusted stop losses using Average True Range
- **Dual Exit Strategy**: VWAP mean reversion + fixed profit targets
- **Adjustable Risk-Reward**: Configurable target ratio to opposite VWAP band
- **Position Sizing**: Percentage-based equity allocation
### Optional Trend Filter
- **EMA Trend Alignment**: Optional trend filter to avoid counter-trend trades
- **Configurable Period**: Adjustable EMA length for trend determination
- **Toggle Functionality**: Enable/disable based on market conditions
## 📊 How It Works
### Entry Logic
**Long Entries**: Triggered when price touches lower VWAP band + volume spike during active hours
**Short Entries**: Triggered when price touches upper VWAP band + volume spike during active hours
### Exit Strategy
1. **VWAP Mean Reversion**: Early exit when price returns to VWAP center line
2. **Profit Target**: Fixed target based on percentage to opposite VWAP band
3. **Stop Loss**: ATR-based protective stop
### Visual Elements
- **VWAP Center Line**: Blue line showing volume-weighted fair value
- **Green Bands**: Entry trigger levels (Band #1)
- **Red Bands**: Extended levels for target reference (Band #2)
- **Orange EMA**: Trend filter line (when enabled)
- **Background Colors**: Yellow (lunch), Gray (after hours), Clear (active trading)
- **Info Panel**: Real-time metrics display
## ⚙️ Recommended Settings
### Timeframes
- **Primary**: 1-5 minute charts for scalping
- **Validation**: Test on 15-minute for swing applications
### Market Conditions
- **Best Performance**: Ranging/choppy markets with good volume
- **Trend Markets**: Enable trend filter to avoid counter-trend trades
- **High Volatility**: Increase ATR multiplier for stops
### Session Optimization
- **Pre-Market**: Generally avoided (low volume)
- **Morning Session**: 9:30 AM - 12:00 PM (high activity)
- **Lunch Period**: 12:00 PM - 2:00 PM (filtered by default)
- **Afternoon Session**: 2:00 PM - 4:00 PM (good volume)
- **After Hours**: Generally avoided (wide spreads)
## ⚠️ Risk Disclaimer
This strategy is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Trading futures involves substantial risk of loss and is not suitable for all investors. Users should:
- Thoroughly backtest on historical data
- Start with small position sizes
- Understand the risks of leveraged trading
- Consider transaction costs and slippage
- Never risk more than you can afford to lose
## 📈 Performance Tips
1. **Volume Threshold**: Adjust volume multiplier based on average NQ volume patterns
2. **Band Sensitivity**: Modify band multipliers for different volatility regimes
3. **Time Filters**: Customize trading hours based on your timezone and preferences
4. **Trend Alignment**: Use trend filter during strong directional markets
5. **Risk Management**: Always maintain consistent position sizing and risk parameters
**Version**: 6.0 Compatible
**Asset**: Optimized for NASDAQ 100 Futures (NQ)
**Style**: Mean Reversion Scalping
**Frequency**: High-Frequency Trading Ready
ATR Circle PlotTitle: ATR Circle Plot
Short Title: ATR Circle Plot
Description:
ATR Circle Plot is a dynamic overlay indicator that visualizes volatility-based levels around the open price of each bar, using the Average True Range (ATR). It plots two customizable levels—Upper and Lower ATR—calculated by multiplying the ATR by a user-defined factor (default: 1.0) and adding/subtracting it from the open price. These levels are displayed as colored circles on the chart, ideal for identifying potential breakout or stop-loss zones. A movable table summarizes the ATR value, Upper Level, and Lower Level with tick precision, and a new toggleable label feature displays these values directly on the chart for quick reference.
Perfect for traders in volatile markets like forex, futures, or stocks, this indicator helps set risk parameters or spot key price levels. Users can adjust the ATR timeframe, length, multiplier, table position, and circle colors to suit their strategy. The optional chart labels enhance usability by overlaying ATR metrics at the latest price levels, reducing the need to check the table during fast-moving markets.
Key Features:
Plots Upper and Lower ATR levels as colored circles around the open price.
Toggleable table (top/bottom, left/right) showing ATR and level values in ticks.
Optional chart labels for ATR, Upper, and Lower levels, toggleable via input.
Customizable ATR length, multiplier, timeframe, and colors for flexibility.
Lightweight and compatible with any chart timeframe.
How to Use:
Add the indicator to your chart and adjust the ATR length, multiplier, and timeframe as needed. Enable/disable the table or labels based on your preference. Use the Upper and Lower ATR levels as dynamic support/resistance or stop-loss guides. For example, place stops beyond the Upper/Lower levels or target breakouts when price crosses them. Combine with trend or momentum indicators for a robust setup.
Note: Leave the ATR Timeframe input empty to use the chart’s timeframe, or specify a higher timeframe (e.g., “D” for daily) for broader volatility context. Ensure your chart’s tick size aligns with the asset for accurate table values.
Tags: ATR, volatility, support resistance, stop loss, table, labels, breakout
Category: Volatility
Risk Context + Position SizingWhat This Indicator Does (And Doesn't Do)
This is NOT a buy/sell signal indicator. Instead, it's a risk management tool that helps you understand two critical things:
How volatile the market is right now (compared to recent history)
How much you should risk on your next trade based on that volatility
The Core Problem It Solves
Imagine you always risk the same amount on every trade - say $100. But sometimes the market is calm and predictable, other times it's wild and unpredictable. This indicator says: "Hey, the market is going crazy right now - maybe only risk $70 instead of your usual $100."
How It Works
Measures Market "Nervousness"
Uses ATR (Average True Range) to measure how much prices typically move each day
Compares today's volatility to the past 100 days
Shows you a percentile (0-100%) - higher = more volatile
Categorizes Risk Environment
LOW (green): Market is calm, you can size up slightly
NORMAL: Standard conditions, use your normal position size
HIGH (red): Market is jumpy, reduce your position size
EXTREME (dark red): Market is in chaos, significantly reduce size
Important Disclaimers
This doesn't predict price direction - it only measures current market stress
You still need a trading strategy - this just helps you size it properly
Past volatility doesn't guarantee future volatility
Always combine with proper stop losses and risk management
Navier-Cauchy Market Elasticity [PhenLabs]📊 Navier-Cauchy Market Elasticity
Version: PineScript™ v6
📌 Description
The Navier-Cauchy Market Elasticity (NCME) indicator takes a new step into technical analysis by applying materials science principles to financial markets. Similar to last weeks release utilizing Navier-Stokes dynamics equation this indicator focuses on the elastic interaction of virtual “solids”. Based on elasticity theory used in engineering, NCME treats price movements as material deformations, calculating market stress and strain using proven physics formulas. This unique approach reveals hidden market dynamics invisible to traditional indicators.
By implementing Lamé parameters and Young’s modulus calculations, NCME identifies critical stress points where markets exhibit extreme tension or compression. These zones often precede significant price movements, providing traders with advanced warning of potential reversals or breakouts.
🚀 Points of Innovation
• First indicator to apply Navier-Cauchy elasticity equations to market analysis
• Dynamic stress tensor calculations adapted for one-dimensional price movements
• Real-time Poisson ratio adjustments for market-specific elasticity modeling
• Gradient-based coloring system that visualizes stress intensity variations
• Advanced display modes with customizable visual layers for professional analysis
• Physics-based volatility normalization using Young’s modulus principles
🔧 Core Components
• Elasticity Engine: Calculates market elasticity using volatility-adjusted Young’s modulus
• Stress Tensor System: Computes normal stress values using Lamé parameters (λ and μ)
• Strain Measurement: Tracks price displacement relative to historical movement patterns
• Dynamic Bands: Statistical deviation bands that adapt to market elasticity changes
🔥 Key Features
• Four Display Modes: Choose between Histogram, Line, Both, or Advanced visualization
• Five Color Schemes: Modern, Classic, Neon, Ocean, and Fire themes with gradient support
• Background Stress Zones: Five distinct zones showing market stress levels visually
• Customizable Smoothing: Adjustable period for noise reduction without signal lag
• Extreme Value Detection: Automatic marking of critical stress points with visual alerts
• Advanced Mode Options: Glow effects, momentum ribbon, and extreme dots toggles
🎨 Visualization
• Stress Line: Primary indicator showing real-time market stress with gradient coloring
• Histogram Bars: Normalized stress values with dynamic opacity based on magnitude
• Reference Bands: Primary and secondary deviation bands for context
• Background Zones: Color-coded regions indicating stress intensity levels
• Signal Dots: Markers appearing at extreme stress points for easy identification
📖 Usage Guidelines
Display Settings
• Display Style
○ Default: Advanced
○ Options: Histogram, Line, Both, Advanced
○ Description: Controls visual presentation mode. Advanced offers the most comprehensive view with multiple layers
• Smoothing Period
○ Default: 3
○ Range: 1-50
○ Description: Moving average periods for noise reduction. Higher values create smoother signals but may introduce lag
Elasticity Parameters
• Displacement Length
○ Default: 14
○ Range: 1-100
○ Description: Lookback period for strain calculation. Shorter periods detect rapid stress changes
• Elasticity Length
○ Default: 30
○ Range: 1-200
○ Description: Period for volatility-based elasticity calculation. Longer periods provide more stable readings
• Poisson Ratio
○ Default: 0.3
○ Range: 0-0.5
○ Description: Theoretical elasticity ratio. 0.3 works well for most markets; adjust for specific asset classes
✅ Best Use Cases
• Identifying market tension before major breakouts
• Detecting compression zones during accumulation phases
• Confirming trend strength through stress persistence
• Timing reversals at extreme stress levels
• Multi-timeframe stress analysis for comprehensive market view
⚠️ Limitations
• Requires sufficient price history for accurate elasticity calculations
• May produce false signals during unprecedented market events
• Works best in liquid markets with consistent volume
• Not suitable as a standalone trading system
💡 What Makes This Unique
• Physics-Based Foundation: First indicator to properly implement elasticity theory
• Academic Rigor: Based on proven Navier-Cauchy equations from materials science
• Visual Innovation: Multiple display modes with professional-grade aesthetics
• Adaptive Technology: Self-adjusting parameters based on market conditions
🔬 How It Works
1. Strain Calculation:
• Measures price displacement over specified period
• Normalizes displacement relative to price level
2. Elasticity Determination:
• Calculates Young’s modulus using inverse volatility
• Updates Lamé parameters based on Poisson ratio
3. Stress Computation:
• Applies elasticity theory formula: σ = (λ + 2μ) × ε
• Scales result for visual clarity
• Applies smoothing to reduce noise
💡 Note: NCME represents a breakthrough in applying physics principles to market analysis. While based on proven scientific formulas, remember that markets are complex systems influenced by human psychology and external factors. Use NCME as part of a comprehensive trading strategy with proper risk management.
Volatility Layered Supertrend [NLR]We’ve all used Supertrend, but do you know where to actually enter a trade? Volatility Layered Supertrend (VLS) is here to solve that! This advanced trend-following indicator builds on the classic Supertrend by not only identifying trends and their strength but also guiding you to the best trade entry points. VLS divides the main long-term trend into “Strong” and “Weak” Zones, with a clear “Trade Entry Zone” to help you time your trades with precision. With layered trends, dynamic profit targets, and volatility-adaptive bands, VLS delivers actionable signals for any market.
Why I Created VLS Over a Plain Supertrend
I built VLS to address the gaps in traditional Supertrend usage and make trade entries clearer:
Single-Line Supertrend Issues: The default Supertrend sets stop-loss levels that are too wide, making it impractical for most traders to use effectively.
Unclear Entry Points: Standard Supertrend doesn’t tell you where to enter a trade, often leaving you guessing or entering too early or late.
Multi-Line Supertrend Enhancement: Many traders use short, medium, and long Supertrends, which is helpful but can lack focus. In VLS, I include Short, Medium, and Long trends (using multipliers 1 to 3), and add multipliers 4 and 5 to track extra long-term trends—helping to avoid fakeouts that sometimes occur with multiplier 3.
My Solution: I focused on the main long-term Supertrend and split it into “Weak Zone” and “Strength Zone” to show the trend’s reliability. I also defined a “Trade Entry Zone” (starting from the Mid Point, with the first layer’s background hidden for clarity) to guide you on where to enter trades. The zones include Short, Medium, and Long Trend layers for precise entries, exits, and stop-losses.
Practical Trading: This approach provides realistic stop-loss levels, clear entry points, and a “Profit Target” line that aligns with your risk tolerance, while filtering out false signals with longer-term trends.
Key Features
Layered Trend Zones: Short, Medium, Long, and Extra Long Trend layers (up to multipliers 4 and 5) for timing entries and exits.
Strong & Weak Zones: See when the trend is reliable (Strength Zone) or needs caution (Weak Zone).
Trade Entry Zone: A dedicated zone starting from the Mid Point (first layer’s background hidden) to show the best entry points.
Dynamic Profit Targets: A “Profit Target” line that adjusts with the trend for clear goals.
Volatility-Adaptive: Uses ATR to adapt to market conditions, ensuring reliable signals.
Color-Coded: Green for uptrends, red for downtrends—simple and clear.
How It Works
VLS enhances the main long-term Supertrend by dividing it into two zones:
Weak Zone: Indicates a less reliable trend—use tighter stop-losses or wait for the price to reach the Trade Entry Zone.
Strength Zone: Signals a strong trend—ideal for entries with wider stop-losses for bigger moves.
The “Trade Entry Zone” starts at the Mid Point (last layer’s background hidden for clarity), showing you the best area to enter trades. Each zone includes Short, Medium, Long, and Extra Long Trend sublevels (up to multipliers 4 and 5) for precise trade timing and to filter out fakeouts. The “Profit Target” updates dynamically based on trend direction and volatility, giving you a clear goal.
How to Use
Spot the Trend: Green bands = buy, red bands = sell.
Check Strength: Price in Strength Zone? Trend’s reliable—trade confidently. In Weak Zone? Use tighter stops or wait.
Enter Trades: Use the “Trade Entry Zone” (from the Mid Point upward) for the best entry points.
Use Sublevels: Short, Medium, Long, and Extra Long layers in each zone help fine-tune entries and exits.
Set Targets: Follow the Profit Target line for goals—it updates automatically.
Combine Tools: Pair with RSI, MACD, or support/resistance for added confirmation.
Settings
ATR Length: Adjust the ATR period (default 10) to change sensitivity.
Up/Down Colors: Customize colors—green for up, red for down, by default.
VIX Spike StrategyThis script implements a trading strategy based on the Volatility Index (VIX) and its standard deviation. It aims to enter a long position when the VIX exceeds a certain number of standard deviations above its moving average, which is a signal of a volatility spike. The position is then exited after a set number of periods.
VIX Symbol (vix_symbol): The input allows the user to specify the symbol for the VIX index (typically "CBOE:VIX").
Standard Deviation Length (stddev_length): The number of periods used to calculate the standard deviation of the VIX. This can be adjusted by the user.
Standard Deviation Multiplier (stddev_multiple): This multiplier is used to determine how many standard deviations above the moving average the VIX must exceed to trigger a long entry.
Exit Periods (exit_periods): The user specifies how many periods after entering the position the strategy will exit the trade.
Strategy Logic:
Data Loading: The script loads the VIX data, both for the current timeframe and as a rescaled version for calculation purposes.
Standard Deviation Calculation: It calculates both the moving average (SMA) and the standard deviation of the VIX over the specified period (stddev_length).
Entry Condition: A long position is entered when the VIX exceeds the moving average by a specified multiple of its standard deviation (calculated as vix_mean + stddev_multiple * vix_stddev).
Exit Condition: After the position is entered, it will be closed after the user-defined number of periods (exit_periods).
Visualization:
The VIX is plotted in blue.
The moving average of the VIX is plotted in orange.
The threshold for the VIX, which is the moving average plus the standard deviation multiplier, is plotted in red.
The background turns green when the entry condition is met, providing a visual cue.
Sources:
The VIX is often used as a measure of market volatility, with high values indicating increased uncertainty in the market.
Standard deviation is a statistical measure of the variability or dispersion of a set of data points. In financial markets, it is used to measure the volatility of asset prices.
References:
Bollerslev, T. (1986). "Generalized Autoregressive Conditional Heteroskedasticity." Journal of Econometrics.
Black, F., & Scholes, M. (1973). "The Pricing of Options and Corporate Liabilities." Journal of Political Economy.
Elder Impulse System + ATR BandsDisregard the above chart, I am not sure why it isn't showing the one I want, which is linked below:
This is as far as I can tell the closest representation to Dr. Alexander Elder's updated "Elder Impulse System" that has added ATR-volatility bands up to 3x deviations from price. I got the idea from watching this recent video (www.youtube.com) of Dr. Elder reviewing some recent trades and noticed he had updated his system from his original books. The Impulse System colour coding was inspired by AstralLoverFlow and LazyBear. ATR Bands are pre-programmed Keltner Channels with some modifications such as filing in the ATR Zones with user-selected colour bands and modifying the ATR value to better suit the volatility of the market being traded.
The script has several components, which I will detail below:
Exponential Moving Averages:
1) A 13-period EMA that is used as a staple in all of Dr. Elder's technical analysis. He uses this EMA as the basis for all of his indicators and why it is included here.
2) A 26-period EMA which can be used as a base-line of sorts to filter when to go long or when to go short. For instance, price over the 26-EMA, price is strong and the rally upwards is likely to continue, underneath it, price is weak and likely to continue downwards for a time.
Volatility Bands:
By definition these are nothing more than 3 separate Keltner Channels of a 13-period EMA each set to one additional multiplier from the moving average. This gives us a 1x, 2x, and 3x multiplier of average volatility from the 13-period EMA based on a 14-period Average True Range (ATR) reading. The ATR was chosen as it accommodates price gaps and also is the standard formula calculation in TradingView. The values of the bands cannot be adjusted but the colour coding of them can be.
Elder Impulse System:
These colour-coded bars show you the strength and direction of the current chart resolution, calculated by the slope of a 13-period EMA and the slope of a MACD histogram. These are used not as a buying or selling recommendation alone but as trend filters, as per Dr. Elder's own description of them.
Green Bars = The 13-period EMA is sloping positively and the MACD histogram is rising compared to previous bars. The trader should only consider buying/long opportunities when a green bar is most recent.
Red Bars = The 13-period EMA is sloping negatively and the MACD histogram is falling compared to previous bars. The trader should only consider selling/short opportunities when a red bar is most recent.
Blue Bars = The 13-period EMA and the MACD histogram are not aligned. One of the indicators is sloping opposite to the other indicator. These are known as indecision bars and are typically seen near the end of a previously established trend. The trader can choose to wait for either a green or red bar to shape their trading bias if they are more risk-averse while a counter-trend trader may decide to try opening a position against the currently-established trend.
How To Trade the System:
This system is unique in that it is so versatile and will fit the styles of many traders, be it trend following traders (generally the original Elder Impulse System design) or mean-reversion/counter-trend trading (the original Keltner Channel design). None of the examples below or in the chart above are financial advice and are just there for demonstration purposes only.
1) The most basic signal given would be the moving average cross up or down. A cross of the 13-EMA over the 26-EMA signals upward trend strength and the trader could look for buying opportunities. Conversely, the 13-EMA under the 26-EMA shows downward trend strength and the trader could look for selling opportunities.
2) Following the Elder Impulse system in conjunction with the EMAs. Look for long opportunities when a green bar is printed and price is over both of the 13- and 26-period EMAs. Look for short opportunities when a red bar is printed and price is below both of the 13- and 26-period EMAs. Keep in mind this does not necessarily need a moving average cross to be viable, a green or red bar over both EMAs is a valid signal in this system, usually. Examine price more closely for better entry signals when a blue bar is printed and price is either above or below both EMAs if you are a trend trader. This is how Dr. Elder originally intended the system to be used in conjunction with his famous Triple Screen Trading System. I am not going into detail here as it is a deep subject but I would suggest an interested trader to examine this Triple Screen System further as it is widely accepted as a strong strategy.
3) Mean Reversion and Counter-Trend Trading. Dr. Elder mentions that the zone between the two EMAs is called the Value Zone. A mean reversion trader could look for buying opportunities if price has generally been in an uptrend and falls back to value, conversely, they could look for shorting opportunities if price has generally been in a downtrend and rises back to value. These are your very basic pull backs found in trends that create your higher lows in an uptrend or your lower highs in a downtrend. A mean reversion/scalper trader may also look to use the upper and lower most ATR bands as an indication of price being overbought or oversold and could look to enter a counter-trend trade here once a blue indecision bar is printed and to ride that move back down to the Value Zone.
Taking Profits and Risk Management
This system again is very versatile and will fit a wide range of trading styles. It has built in take profit levels and risk management depending on your style of trading.
1a) In original Triple Screen Trading (and the original Elder Impulse system), a trader was to place a buy order one tick above a newly printed green bar with a stop loss one tick below the most recent 2-day low, and vice-versa for red bars on short selling. as long as other criteria were met, that I will not go into. It is all over YouTube and in his books and on Investopedia if you want more information. The general idea is to continue the trend in the direction if price is strong and you are bought into that move with a close stop, or if price falls back a little bit, you can get in at a better price. This would be a system typically better suited to a scalper.
1b) The updated risk management according to the above video is to place a stop loss at least 2ATR away from price. These bands already have calculated these values so a trader can place a stop one tick below the 2 or even 3ATR zones depending on their risk appetite. This is assuming you have already received a strong buy signal based on the system you follow. This would be a system typically better suited to a trend-trader.
2a) Taking profits if you are a trend trader has several possibilities. The first, as Dr. Elder suggests, is to place a price target 2ATR values away from your entry giving you approximately a 1:1 risk-reward ratio.
2b) The second possibility if the trade is successful is to ride the trend upwards until a blue bar is printed, suggesting indecision in the market. A modified version of this that could let a winning trade run longer is to wait for the price to close under the 13-EMA in fast markets, or close under the 26-EMA in slightly slower markets to maximize potential winnings.
2c) A scalper trader may wish to have a target at either the value zone if they are playing an extended buy/short back to the mean, or if they are being at the mean, to sell or cover when price extends back out to the 2x or 3x zone.
3) Trend traders can additionally use the ATR zones as a sort of safety guidelines for entering a trade. Anything within the 1ATR zone is typically a safer entry as the market is less volatile at this time. Entering when price has gone into the 2ATR zone is signaled as a strong momentum move and can signal a stronger move in the direction of the current closing bar. While not always the case, it is suggested by Dr. Elder to not enter trend trades at the 3ATR zone as this is where you will be likely looking for a counter-trend retracement back to value and a trader entering here in the direction of the trade has a higher chance of being stopped out or not getting in at the best possible price.
vol_bracketThis simple script shows an "N" standard deviation volatility bracket, anchored at the opening price of the current month, week, or quarter. This anchor is meant to coincide roughly with the expiration of options issued at the same interval. You can choose between a manually-entered IV or the hv30 volatility model.
Unlike my previous scripts, which all show the volatility bracket as a rolling figure, the anchor helps to visualize the volatility estimate in relation to price as it ranges over the (approximate) lifetime of a single, real contract.
Bollinger Band Calculation ToolIntroducing the Bollinger Band Calculation Tool
What are Bollinger Bands ?
According to Investopedia ....
"In the 1980s, John Bollinger, a long-time technician of the markets, developed the technique of using a moving average with two trading bands above and below it.
Unlike a percentage calculation from a normal moving average, Bollinger Bands® simply add and subtract a standard deviation calculation.
Standard deviation is a mathematical formula that measures volatility, showing how the stock price can vary from its true value.
By measuring price volatility, Bollinger Bands® adjust themselves to market conditions.
This is what makes them so handy for traders; they can find almost all of the price data needed between the two bands."
Classic interpretations of Bollinger bands from Fidelity Investments....
"When the bands tighten during a period of low volatility, it raises the likelihood of a sharp price move in either direction.
This may begin a trending move. Watch out for a false move in opposite direction which reverses before the proper trend begins.
When the bands separate by an unusual large amount, volatility increases and any existing trend may be ending.
Prices have a tendency to bounce within the bands' envelope, touching one band then moving to the other band.
You can use these swings to help identify potential profit targets.
For example, if a price bounces off the lower band and then crosses above the moving average, the upper band then becomes the profit target.
Price can exceed or hug a band envelope for prolonged periods during strong trends.
On divergence with a momentum oscillator, you may want to do additional research to determine if taking additional profits is appropriate for you.
A strong trend continuation can be expected when the price moves out of the bands.
However, if prices move immediately back inside the band, then the suggested strength is negated."
This indicator contains a standard set of Bollinger Bands with the addition of a Test Closing Price calculation function.
It displays a standard set of Bollinger Bands by default.
How do I use the Test Closing Price function ?
Enter a test price in the Test Closing Price box in the settings, and then click the "Use Test Price" button.
The indicator will then replace the current Bollinger upper, lower and basis-lines with plots showing the resultant lines if price were to close at the Test Closing Price.
An information panel will appear which displays the test closing price and the resulting Bollinger-upper, Bollinger-lower and basis-line prices.
Can display up to 10 decimal places and has adjustable label offset.
It will also plot lines outlining the resultant closed candle body for clarity.
To return to "Standard Bollingers" just click off the "Use Test Price" button.
Knowing exactly what the Bollinger bands and Basis will do if a particular closing price is met can be useful in a variety of ways to traders who use Bollinger Bands® in their trading.
It is possible to work out exactly what closing price is required to get above or below a Bollinger band which is normally difficult as Bollingers react to the change in price.
Users can also experiment with different Test Closing Prices [/i to see exactly what effect this would have on the Basis moving average and on the Bollinger bands themselves.
MOVE/VXTLT CorrelationMany know of the VIX for equity trading. Yet, many are unaware that there is the same kind of volatility measure for trading bonds, called the MOVE Index.
"The Merrill Lynch Option Volatility Estimate (MOVE) Index is a yield curve weighted index of the normalized implied volatility on 1-month Treasury options which are weighted on the 2, 5, 10, and 30 year contracts."
With this script one can see the the correlation and divergences between bonds and its volatility measure to make educated decisions in trading or hedging.
The idea of this script comes from NicTheMajestic.
Multi-Exchange Volume (30 Tickers) by kurtsmock + BV + rVolauthor: kurtsmock
Fully Customizable ticker set. Up to 30 Tickers. Bitcoin set as default.
-- IMPORTANT NOTE: --
30 Exchanges are a lot. It can take a while to load. You can fully customize this indicator to your liking. Here's how:
1. Load indicator
2. Open Settings
3. Uncheck the switch box for exchanges you want unincluded
4. At the bottom of the settings menu click "Defaults" and hit "Save as Default"
5. To turn them all back on, hit "Reset Settings" in that same "Defaults" menu and click "Save as Default" again.
Also, you don't have to use this with Bitcoin. This works with any asset, just change the ticker in the settings.
There's a lot going on with this indicator so the following is descriptions and instructions to help you better understand what's going on here. Thanks!
Goal:
- To provide a mechanism for assets on multiple exchanges to have their volume evaluated together
Edge:
- Having better and more complete volume information
Notes:
- The Default Exchanges for this indicator are highest volume bitcoin exchanges, but may contain "fake volume"
- Indicator is set for Bitcoin by default. However, you can change the tickers to reflect any asset you want
////// rVol //////
Goal:
- To understand how much volume is being executed relative to the same candle on previous days/periods
Edge:
- Higher rVol implies higher volatility and market interest.
- High rVol = higher than average volume . Markets move on volume so higher than average volume indicates increased market activity/volatility
- rVol is an indirect measure of active or anticipated volatility
Definitions:
- rVol: The volume of a period compared to the Average Volume of that same period in past sessions
- Important to note it does NOT add up the last 10 (default) candles, but rather the last 10 candles at session intervals.
- Example:
-- On a Tuesday, 1h chart it will add up the last ten Tuesday, 9:00 am candles, not including the current, active candle.
-- It then averages those lookback candles.
-- It then plots the percentage relationship between the most recent candle and the average of the lookback candles
-- Avg Vol of Lookback candles = 5000,
-- Volume of most recent candle = 4000: Output = rVol = 80:
-- Volume of most recent candle was 80% of the average volume in the 9 am time period of the last ten Tuesdays in the 9 am, 1h period
Notes:
- rVol does not add current candle volume into lookback sum. So, you set lookback to be: (not including the current day)
- rVol is on a switch. So, if you want to see rVol instead of volume, hit the switch in the settings
- If you want to see both, load 2 instances of the indicator.
////// Better-er Volume //////
Goal:
To Identify:
- When a candle closes at the highest volume * range relative to the lookback period and close > open
- When a candle closes at the highest volume * range relative to the lookback period and close < open
- When a candle closes at the highest volume / price relative to the lookback period
Edge:
- Identifies beginnings of price expansion, climax of price expansion, breakouts, pivots, and take profit points on the volume chart
Notes:
- Based generally on Barry Taylor's "Better Volume" indicator and ideas from Pascal Willain's book "Value in Time."
- Better-er Volume rules are applied to both Total Volume or rVol.
-- When rVol is displayed Better-er Volume is applied to rVol
-- When Total Volume is displayed Better-er Volume is applied to Total Volume
// Plot Key: //
Green Triangle Up = Often marks the beginning and/or end of price expansion to the upside
Red Triangle Up = Often marks the beginning and/or end of price expansion to the downside
Yellow Square = High Volume but Tight Range. Implies a Battle of Bulls and Bears. High Liquidity area. Provided Liquidity is not enough to move price. Thick Limit Order Book.
Purple Triangle Up or Down = Implies high market participation. Typically at the end of expansion when very significant s/r is hit
category: volume Volatility
tags: Volume rVol relativevolume Bitcoin cryptocurrency bettervolume
Many More Volume Indicators Coming Out Soon!
HV ID/ND4 BreakoutThis indicator is based on Linda Raschke's ID/ND4 Historical Volatility Breakout strategy. It finds days where the high and low are within the previous day high and lows (Inside days), that have also, the narrowest trading range within the last 4 days (it basically checks if the current day has the narrowest range comparing it with the previous 3 days) when the short term historical volatility (6 period default) is relatively low compared to the longer term historical volatility (100 period default) (The condition is that the 6/100 Historical volatility is below 50% of its annual range).
More information about how to trade this strategy is described in the book but basically, you would want to place a resting buy and sell stops at the high and low of the day highlighted and enter if you get filled the next day.
QMA/SMA DifferenceIntroduction
The quadratic moving average (QMA) or quadratic weighted moving average (QWMA) is a type of moving average who is closer to the price when price is up trending. This moving average is defined as the square root of the moving average of the squared price. The QMA-SMA difference use this moving average to provide a new volatility indicator who aim to be reactive and filter noisy volatility in order to only provide essential information.
QMA - SMA
This indicator is defined as the difference between a quadratic moving average and a simple moving average of same period. Since the QMA emphasize up movements and tend to be away from down movements she is always greater than the simple moving average, so a simple difference between those moving average provide our volatility indicator. Below is a comparison with a standard deviation and the indicator of both period 100.
Since its a difference between two moving average it can be interesting to use a simple moving as source for the standard deviation to provide another comparison
The standard deviation is smoother but still contain more information as well as having less reactivity.
Conclusion
I have a presented a new volatility indicator based on the quadratic moving average and compared it with a classic standard deviation. It is possible to change the power order of the QMA in order to provide different results, in order to do so you must also change the root, this is done in pine with : pow(sma(pow(close,w),length),1/w) where w is the power order, notice that an high power order can provide non attributed values.
BKSqueezeThis is a price volatility compression and expansion indicator that uses the ratio of the Bollinger Band and Keltner Ratio.
Red segments indicate extreme price volatility compression that can be ideal entry points for stock/futures/forex and/or options positions.
Aqua segments indicate price volatility is expanding.
Blue segments indicate price volatility is compressing - can be used as an exit point or partial scale out point.
Note that the indicator doesn't indicate direction. One suggestion is to use the DMI indicator for this purpose - really depends on how early you enter the trade.
Suggest using a time period of 15 bars for volatile stocks, such as TSLA for example, otherwise a period of 20 bars suits most stocks/futures/forex symbols.
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities.
🔶 Advanced Statistical Normalization
Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions.
// Core EMA and Oscillator Calculation
ema_values = ta.ema(close, ema_period)
oscillator_values = close - ema_values
rolling_std = ta.stdev(oscillator_values, ema_period)
z_score = oscillator_values / rolling_std
🔶 Dual Threshold System
Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes.
// Statistical Thresholds
mild_threshold = 1.0 // ±1σ (68% confidence)
moderate_threshold = 2.0 // ±2σ (95% confidence)
extreme_threshold = 3.0 // ±3σ (99.7% confidence)
// Percentage-Based Dynamic Thresholds
osc_high = ta.highest(math.abs(z_score), lookback_period)
mild_pct_thresh = osc_high * (mild_pct / 100.0)
moderate_pct_thresh = osc_high * (moderate_pct / 100.0)
extreme_pct_thresh = osc_high * (extreme_pct / 100.0)
🔶 Signal Generation Framework
Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration.
// Extreme Signal Detection
sell_signal = ta.crossover(z_score, selected_extreme)
buy_signal = ta.crossunder(z_score, -selected_extreme)
// Dynamic Color Coding
signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought
z_score >= selected_moderate ? #ff6a6a : // Overbought
z_score >= selected_mild ? #b86456 : // Mildly Overbought
z_score > -selected_mild ? #a1a1a1 : // Neutral
z_score > -selected_moderate ? #01b844 : // Mildly Oversold
z_score > -selected_extreme ? #00ff66 : // Oversold
#00ff66 // Extremely Oversold
🔶 Visual Structure Analysis
Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing.
snapshot
4H
1D
🔶 Adaptive Threshold Selection
Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles.
🔶 Performance Optimization
Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options.
🔶 Market Oscillator Interpretation
Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches.
snapshot
🔶 Intelligent Signal Management
Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles.
Why Choose EMA Oscillator ?
This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
Market Regime Matrix [Alpha Extract]A sophisticated market regime classification system that combines multiple technical analysis components into an intelligent scoring framework to identify and track dominant market conditions. Utilizing advanced ADX-based trend detection, EMA directional analysis, volatility assessment, and crash protection protocols, the Market Regime Matrix delivers institutional-grade regime classification with BULL, BEAR, and CHOP states. The system features intelligent scoring with smoothing algorithms, duration filters for stability, and structure-based conviction adjustments to provide traders with clear, actionable market context.
🔶 Multi-Component Regime Engine Integrates five core analytical components: ADX trend strength detection, EMA-200 directional bias, ROC momentum analysis, Bollinger Band volatility measurement, and zig-zag structure verification. Each component contributes to a sophisticated scoring system that evaluates market conditions across multiple dimensions, ensuring comprehensive regime assessment with institutional precision.
// Gate Keeper: ADX determines market type
is_trending = adx_value > adx_trend_threshold
is_ranging = adx_value <= adx_trend_threshold
is_maximum_chop = adx_value <= adx_chop_threshold
// BULL CONDITIONS with Structure Veto
if price_above_ema and di_bullish
if use_structure_filter and isBullStructure
raw_bullScore := 5.0 // MAXIMUM CONVICTION: Strong signals + Bull structure
else if use_structure_filter and not isBullStructure
raw_bullScore := 3.0 // REDUCED: Strong signals but broken structure
🔶 Intelligent Scoring System Employs a dynamic 0-5 scale scoring mechanism for each regime type (BULL/BEAR/CHOP) with adaptive conviction levels. The system automatically adjusts scores based on signal alignment, market structure confirmation, and volatility conditions. Features decision margin requirements to prevent false regime changes and includes maximum conviction thresholds for high-probability setups.
🔶 Advanced Structure Filter Implements zig-zag based market structure analysis using configurable deviation thresholds to identify significant pivot points. The system tracks Higher Highs/Higher Lows (HH/HL) for bullish structure and Lower Lows/Lower Highs (LL/LH) for bearish structure, applying structure veto logic that reduces conviction when price action contradicts the underlying trend framework.
// Define Market Structure (Bull = HH/HL, Bear = LL/LH)
isBullStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_high > prev_significant_high and last_significant_low > prev_significant_low
isBearStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_low < prev_significant_low and last_significant_high < prev_significant_high
🔶 Superior Engine Components Features dual-layer regime stabilization through score smoothing and duration filtering. The score smoothing component reduces noise by averaging raw scores over configurable periods, while the duration filter requires minimum regime persistence before confirming changes. This eliminates whipsaws and ensures regime transitions represent genuine market shifts rather than temporary fluctuations.
🔶 Crash Detection & Active Penalties Incorporates sophisticated crash detection using Rate of Change (ROC) analysis with severity classification. When crash conditions are detected, the system applies active penalties (-5.0) to BULL and CHOP scores while boosting BEAR conviction based on crash severity. This ensures immediate regime response to major market dislocations and drawdown events.
// === CRASH OVERRIDE (Active Penalties) ===
is_crash = roc_value < crash_threshold
if is_crash
// Calculate crash severity
crash_severity = math.abs(roc_value / crash_threshold)
crash_bonus = 4.0 + (crash_severity - 1.0) * 2.0
// ACTIVE PENALTIES: Force bear dominance
raw_bearScore := math.max(raw_bearScore, crash_bonus)
raw_bullScore := -5.0 // ACTIVE PENALTY
raw_chopScore := -5.0 // ACTIVE PENALTY
❓How It Works
🔶 ADX-Based Market Classification The Market Regime Matrix uses ADX (Average Directional Index) as the primary gatekeeper to distinguish between trending and ranging market conditions. When ADX exceeds the trend threshold, the system activates BULL/BEAR regime logic using DI+/DI- crossovers and EMA positioning. When ADX falls below the ranging threshold, CHOP regime logic takes precedence, with maximum conviction assigned during ultra-low ADX periods.
🔶 Dynamic Conviction Scaling Each regime receives conviction ratings from UNCERTAIN to MAXIMUM based on signal alignment and score magnitude. MAXIMUM conviction (5.0 score) requires perfect signal alignment plus favorable market structure. The system progressively reduces conviction when signals conflict or structure breaks, ensuring traders understand the reliability of each regime classification.
🔶 Regime Transition Management Implements decision margin requirements where new regimes must exceed existing regimes by configurable thresholds before transitions occur. Combined with duration filtering, this prevents premature regime changes and maintains stability during consolidation periods. The system tracks both raw regime signals and final regime output for complete transparency.
🔶 Visual Regime Mapping Provides comprehensive visual feedback through colored candle overlays, background regime highlighting, and real-time information tables. The system displays regime history, conviction levels, structure status, and key metrics in an organized dashboard format. Regime changes trigger immediate visual alerts with detailed transition information.
🔶 Performance Optimization Features efficient array management for zig-zag calculations, smart variable updating to prevent recomputation, and configurable debug modes for strategy development. The system maintains optimal performance across all timeframes while providing institutional-grade analytical depth.
Why Choose Market Regime Matrix ?
The Market Regime Matrix represents the evolution of market regime analysis, combining traditional technical indicators with modern algorithmic decision-making frameworks. By integrating multiple analytical dimensions with intelligent scoring, structure verification, and crash protection, it provides traders with institutional-quality market context that adapts to changing conditions. The sophisticated filtering system eliminates noise while preserving responsiveness, making it an essential tool for traders seeking to align their strategies with dominant market regimes and avoid adverse market environments.
