Linear % ST | QuantEdgeB🚀 Introducing Linear Percentile SuperTrend (Linear % ST) by QuantEdgeB
🛠️ Overview
Linear % SuperTrend (Linear % ST) by QuantEdgeB is a hybrid trend-following indicator that combines Linear Regression, Percentile Filters, and Volatility-Based SuperTrend Logic into one dynamic tool. This system is designed to identify trend shifts early while filtering out noise during choppy market conditions.
By utilizing percentile-based median smoothing and customized ATR multipliers, this tool captures both breakout momentum and pullback opportunities with precision.
✨ Key Features
🔹 Percentile-Based Median Filtering
Removes outliers and normalizes price movement for cleaner trend detection using the 50th percentile (median) of recent price action.
🔹 Linear Regression Smoothing
A smoothed baseline is computed with Linear Regression to detect the underlying trend while minimizing lag.
🔹 SuperTrend Structure with Adaptive Bands
The indicator implements an enhanced SuperTrend engine with custom ATR bands that adapt to trend direction. Bands tighten or loosen based on volatility and trend strength.
🔹 Dynamic Long/Short Conditions
Long and short signals are derived from the relationship between price and the SuperTrend threshold zones, clearly showing trend direction with optional "Long"/"Short" labels on the chart.
🔹 Multiple Visual Themes
Select from 6 built-in color palettes including Strategy, Solar, Warm, Cool, Classic, and Magic to match your personal style or strategy layout.
📊 How It Works
1️⃣ Percentile Filtering
The source price (default: close) is filtered using a nearest-rank 50th percentile over a custom lookback. This normalizes data to reflect the central tendency and removes noisy extremes.
2️⃣ Linear Regression Trend Base
A Linear Regression Moving Average (LSMA) is applied to the filtered median, forming the core trend line. This dynamic trendline provides a low-lag yet smooth view of market direction.
3️⃣ SuperTrend Engine
ATR is applied with custom multipliers (different for long and short) to create dynamic bands. The bands react to price movement and only shift direction after confirmation, preventing false flips.
4️⃣ Trend Signal Logic
• When price stays above the dynamic lower band → Bullish trend
• When price breaks below the upper band → Bearish trend
• Trend direction remains stable until violated by price.
⚙️ Custom Settings
• Percentile Length → Lookback for percentile smoothing (default: 35)
• LSMA Length → Determines the base trend via linear regression (default: 24)
• ATR Length → ATR period used in dynamic bands (default: 14)
• Long Multiplier → ATR multiplier for bullish thresholds (default: 0.8)
• Short Multiplier → ATR multiplier for bearish thresholds (default: 1.9)
✅ How to Use
1️⃣ Trend-Following Strategy
✔️ Go Long when price breaks above the lower ATR band, initiating an upward trend
✔️ Go Short when price falls below the upper ATR band, confirming bearish conditions
✔️ Remain in trend direction until the SuperTrend flips
2️⃣ Visual Confirmation
✔️ Use bar coloring and the dynamic bands to stay aligned with trend direction
✔️ Optional Long/Short labels highlight key signal flips
👥 Who Should Use Linear % ST?
✅ Swing & Position Traders → To ride trends confidently
✅ Trend Followers → As a primary directional filter
✅ Breakout Traders → For clean signal generation post-range break
✅ Quant/Systematic Traders → Integrate clean trend logic into algorithmic setups
📌 Conclusion
Linear % ST by QuantEdgeB blends percentile smoothing with linear regression and volatility bands to deliver a powerful, adaptive trend-following engine. Whether you're a discretionary trader seeking cleaner entries or a systems-based trader building logic for automation, Linear % ST offers clarity, adaptability, and precision in trend detection.
🔹 Key Takeaways:
1️⃣ Percentile + Regression = Noise-Reduced Core Trend
2️⃣ ATR-Based SuperTrend = Reliable Breakout Confirmation
3️⃣ Flexible Parameters + Color Modes = Custom Fit for Any Strategy
📈 Use it to spot emerging trends, filter false signals, and stay confidently aligned with market momentum.
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Volatilità
Quantile DEMA Trend | QuantEdgeB🚀 Introducing Quantile DEMA Trend (QDT) by QuantEdgeB
🛠️ Overview
Quantile DEMA Trend (QDT) is an advanced trend-following and momentum detection indicator designed to capture price trends with superior accuracy. Combining DEMA (Double Exponential Moving Average) with SuperTrend and Quantile Filtering, QDT identifies strong trends while maintaining the ability to adapt to various market conditions.
Unlike traditional trend indicators, QDT uses percentile filtering to adjust for volatility and provides dynamic thresholds, ensuring consistent signal performance across different assets and timeframes.
✨ Key Features
🔹 Trend Following with Adaptive Sensitivity
The DEMA component ensures quicker responses to price changes while reducing lag, offering a real-time reflection of market momentum.
🔹 Volatility-Adjusted Filtering
The SuperTrend logic incorporates quantile percentile filters and ATR (Average True Range) multipliers, allowing QDT to adapt to fluctuating market volatility.
🔹 Clear Signal Generation
QDT generates clear Long and Short signals using percentile thresholds, effectively identifying trend changes and market reversals.
🔹 Customizable Visual & Signal Settings
With multiple color modes and customizable settings, you can easily align the QDT indicator with your trading strategy, whether you're focused on trend-following or volatility adjustments.
📊 How It Works
1️⃣ DEMA Calculation
DEMA is used to reduce lag compared to traditional moving averages. It is calculated by applying a Double Exponential Moving Average to price data. This smoother trend-following mechanism ensures responsiveness to market movements without introducing excessive noise.
2️⃣ SuperTrend with Percentile Filtering
The SuperTrend component adapts the trend-following signal by incorporating quantile percentile filters. It identifies dynamic support and resistance levels based on historical price data:
• Upper Band: Calculated using the 75th percentile + ATR (adjusted with multiplier)
• Lower Band: Calculated using the 25th percentile - ATR (adjusted with multiplier)
These dynamic bands adjust to market conditions, filtering out noise while identifying the true direction.
3️⃣ Signal Generation
• Long Signal: Triggered when price crosses below the SuperTrend Lower Band
• Short Signal: Triggered when price crosses above the SuperTrend Upper Band
The indicator provides signals with corresponding trend direction based on these crossovers.
👁 Visual & Custom Features
• 🎨 Multiple Color Modes: Choose from "Strategy", "Solar", "Warm", "Cool", "Classic", and "Magic" color palettes to match your charting style.
• 🏷️ Long/Short Signal Labels: Optional labels for visual cueing when a long or short trend is triggered.
• 📉 Bar Color Customization: Bar colors dynamically adjust based on trend direction to visually distinguish the market bias.
👥 Who Should Use QDT?
✅ Trend Followers: Use QDT as a dynamic tool to confirm trends and capture profits in trending markets.
✅ Swing Traders: Use QDT to time entries based on confirmed breakouts or breakdowns.
✅ Volatility Traders: Identify market exhaustion or expansion points, especially during volatile periods.
✅ Systematic & Quant Traders: Integrate QDT into algorithmic strategies to enhance market detection with adaptive filtering.
⚙️ Customization & Default Settings
- DEMA Length(30): Controls the lookback period for DEMA calculation
- Percentile Length(10): Sets the lookback period for percentile filtering
- ATR Length(14): Defines the length for calculating ATR (used in SuperTrend)
- ATR Multiplier(1.2 ): Multiplier for ATR in SuperTrend calculation
- SuperTrend Length(30):Defines the length for SuperTrend calculations
📌 How to Use QDT in Trading
1️⃣ Trend-Following Strategy
✔ Enter Long positions when QDT signals a bullish breakout (price crosses below the SuperTrend lower band).
✔ Enter Short positions when QDT signals a bearish breakdown (price crosses above the SuperTrend upper band).
✔ Hold positions as long as QDT continues to provide the same direction.
2️⃣ Reversal Strategy
✔ Take profits when price reaches extreme levels (upper or lower percentile zones) that may indicate trend exhaustion or reversion.
3️⃣ Volatility-Driven Entries
✔ Use the percentile filtering to enter positions based on mean-reversion logic or breakout setups in volatile markets.
🧠 Why It Works
QDT combines the DEMA’s quick response to price changes with SuperTrend's volatility-adjusted thresholds, ensuring a responsive and adaptive indicator. The use of percentile filters and ATR multipliers helps adjust to varying market conditions, making QDT suitable for both trending and range-bound environments.
🔹 Conclusion
The Quantile DEMA Trend (QDT) by QuantEdgeB is a powerful, adaptive trend-following and momentum detection system. By integrating DEMA, SuperTrend, and quantile percentile filtering, it provides accurate and timely signals while adjusting to market volatility. Whether you are a trend follower or volatility trader, QDT offers a robust solution to identify high-probability entry and exit points.
🔹 Key Takeaways:
1️⃣ Trend Confirmation – Uses DEMA and SuperTrend for dynamic trend detection
2️⃣ Volatility Filtering – Adjusts to varying market conditions using percentile logic
3️⃣ Clear Signal Generation – Easy-to-read signals and visual cues for strategy implementation
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Z-Score Normalized Volatility IndicesVolatility is one of the most important measures in financial markets, reflecting the extent of variation in asset prices over time. It is commonly viewed as a risk indicator, with higher volatility signifying greater uncertainty and potential for price swings, which can affect investment decisions. Understanding volatility and its dynamics is crucial for risk management and forecasting in both traditional and alternative asset classes.
Z-Score Normalization in Volatility Analysis
The Z-score is a statistical tool that quantifies how many standard deviations a given data point is from the mean of the dataset. It is calculated as:
Z = \frac{X - \mu}{\sigma}
Where X is the value of the data point, \mu is the mean of the dataset, and \sigma is the standard deviation of the dataset. In the context of volatility indices, the Z-score allows for the normalization of these values, enabling their comparison regardless of the original scale. This is particularly useful when analyzing volatility across multiple assets or asset classes.
This script utilizes the Z-score to normalize various volatility indices:
1. VIX (CBOE Volatility Index): A widely used indicator that measures the implied volatility of S&P 500 options. It is considered a barometer of market fear and uncertainty (Whaley, 2000).
2. VIX3M: Represents the 3-month implied volatility of the S&P 500 options, providing insight into medium-term volatility expectations.
3. VIX9D: The implied volatility for a 9-day S&P 500 options contract, which reflects short-term volatility expectations.
4. VVIX: The volatility of the VIX itself, which measures the uncertainty in the expectations of future volatility.
5. VXN: The Nasdaq-100 volatility index, representing implied volatility in the Nasdaq-100 options.
6. RVX: The Russell 2000 volatility index, tracking the implied volatility of options on the Russell 2000 Index.
7. VXD: Volatility for the Dow Jones Industrial Average.
8. MOVE: The implied volatility index for U.S. Treasury bonds, offering insight into expectations for interest rate volatility.
9. BVIX: Volatility of Bitcoin options, a useful indicator for understanding the risk in the cryptocurrency market.
10. GVZ: Volatility index for gold futures, reflecting the risk perception of gold prices.
11. OVX: Measures implied volatility for crude oil futures.
Volatility Clustering and Z-Score
The concept of volatility clustering—where high volatility tends to be followed by more high volatility—is well documented in financial literature. This phenomenon is fundamental in volatility modeling and highlights the persistence of periods of heightened market uncertainty (Bollerslev, 1986).
Moreover, studies by Andersen et al. (2012) explore how implied volatility indices, like the VIX, serve as predictors for future realized volatility, underlining the relationship between expected volatility and actual market behavior. The Z-score normalization process helps in making volatility data comparable across different asset classes, enabling more effective decision-making in volatility-based strategies.
Applications in Trading and Risk Management
By using Z-score normalization, traders can more easily assess deviations from the mean in volatility, helping to identify periods when volatility is unusually high or low. This can be used to adjust risk exposure or to implement volatility-based trading strategies, such as mean reversion strategies. Research suggests that volatility mean-reversion is a reliable pattern that can be exploited for profit (Christensen & Prabhala, 1998).
References:
• Andersen, T. G., Bollerslev, T., Diebold, F. X., & Vega, C. (2012). Realized volatility and correlation dynamics: A long-run approach. Journal of Financial Economics, 104(3), 385-406.
• Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
• Christensen, B. J., & Prabhala, N. R. (1998). The relation between implied and realized volatility. Journal of Financial Economics, 50(2), 125-150.
• Whaley, R. E. (2000). Derivatives on market volatility and the VIX index. Journal of Derivatives, 8(1), 71-84.
Reversal Trading Bot Strategy[BullByte]Overview :
The indicator Reversal Trading Bot Strategy is crafted to capture potential market reversal points by combining momentum, volatility, and trend alignment filters. It uses a blend of technical indicators to identify both bullish and bearish reversal setups, ensuring that multiple market conditions are met before entering a trade.
Core Components :
Technical Indicators Used :
RSI (Relative Strength Index) :
Purpose : Detects divergence conditions by comparing recent lows/highs in price with the RSI.
Parameter : Length of 8.
Bollinger Bands (BB) :
Purpose : Measures volatility and identifies price levels that are statistically extreme.
Parameter : Length of 20 and a 2-standard deviation multiplier.
ADX (Average Directional Index) & DMI (Directional Movement Index) :
Purpose : Quantifies the strength of the trend. The ADX threshold is set at 20, and additional filters check for the alignment of the directional indicators (DI+ and DI–).
ATR (Average True Range) :
Purpose : Provides a volatility measure used to set stop levels and determine risk through trailing stops.
Volume SMA (Simple Moving Average of Volume ):
Purpose : Helps confirm strength by comparing the current volume against a 20-period average, with an optional filter to ensure volume is at least twice the SMA.
User-Defined Toggle Filters :
Volume Filter : Confirms that the volume is above average (or twice the SMA) before taking trades.
ADX Trend Alignment Filter : Checks that the ADX’s directional indicators support the trade direction.
BB Close Confirmation : Optionally refines the entry by requiring price to be beyond the upper or lower Bollinger Band rather than just above or below.
RSI Divergence Exit : Allows the script to close positions if RSI divergence is detected.
BB Mean Reversion Exit : Closes positions if the price reverts to the Bollinger Bands’ middle line.
Risk/Reward Filter : Ensures that the potential reward is at least twice the risk by comparing the distance to the Bollinger Band with the ATR.
Candle Movement Filter : Optional filter to require a minimum percentage move in the candle to confirm momentum.
ADX Trend Exit : Closes positions if the ADX falls below the threshold and the directional indicators reverse.
Entry Conditions :
Bullish Entry :
RSI Divergence : Checks if the current close is lower than a previous low while the RSI is above the previous low, suggesting bullish divergence.
Bollinger Confirmation : Requires that the price is above the lower (or upper if confirmation is toggled) Bollinger Band.
Volume & Trend Filters : Combines volume condition, ADX strength, and an optional candle momentum condition.
Risk/Reward Check : Validates that the trade meets a favorable risk-to-reward ratio.
Bearish Entry :
Uses a mirror logic of the bullish entry by checking for bearish divergence, ensuring the price is below the appropriate Bollinger level, and confirming volume, trend strength, candle pattern, and risk/reward criteria.
Trade Execution and Exit Strateg y:
Trade Execution :
Upon meeting the entry conditions, the strategy initiates a long or short position.
Stop Loss & Trailing Stops :
A stop-loss is dynamically set using the ATR value, and trailing stops are implemented as a percentage of the close price.
Exit Conditions :
Additional exit filters can trigger early closures based on RSI divergence, mean reversion (via the middle Bollinger Band), or a weakening trend as signaled by ADX falling below its threshold.
This multi-layered exit strategy is designed to lock in gains or minimize losses if the market begins to reverse unexpectedly.
How the Strategy Works in Different Market Conditions :
Trending Markets :
The ADX filter ensures that trades are only taken when the trend is strong. When the market is trending, the directional movement indicators help confirm the momentum, making the reversal signal more reliable.
Ranging Markets :
In choppy markets, the Bollinger Bands expand and contract, while the RSI divergence can highlight potential turning points. The optional filters can be adjusted to avoid false signals in low-volume or low-volatility conditions.
Volatility Management :
With ATR-based stop-losses and a risk/reward filter, the strategy adapts to current market volatility, ensuring that risk is managed consistently.
Recommendation on using this Strategy with a Trading Bot :
This strategy is well-suited for high-frequency trading (HFT) due to its ability to quickly identify reversal setups and execute trades dynamically with automated stop-loss and trailing exits. By integrating this script with a TradingView webhook-based bot or an API-driven execution system, traders can automate trade entries and exits in real-time, reducing manual execution delays and capitalizing on fast market movements.
Disclaimer :
This script is provided for educational and informational purposes only. It is not intended as investment advice. Trading involves significant risk, and you should always conduct your own research and analysis before making any trading decisions. The author is not responsible for any losses incurred while using this script.
Statistical Price Bands with MTF Bands by QTX Algo SystemsStatistical Price Bands with MTF Bands by QTX Algo Systems
Overview
This indicator builds on the original Statistical Price Bands with Trend Filtering script by introducing Multi-Timeframe (MTF) Band Visualization. While the base version calculated adaptive price bands using statistical percentiles, trend filtering, and volatility adjustments, this enhanced version adds support/resistance bands from multiple timeframes onto the current chart.
This is not a minor cosmetic update. The MTF version includes additional request.security() logic and significantly increases context by allowing traders to reference band extremes from longer or shorter timeframes without switching charts. For this reason, the original and MTF versions are maintained separately, as this script requires a Pro+ or Premium TradingView plan to function correctly.
What’s New in This Version
Multi-Timeframe Band Support: Fetches and displays upper and lower bands from other timeframes (e.g., 30min, 1H, 4H, 1D, 1W, 1M).
Chart-Based MTF Labels: Each band is labeled with its source timeframe (e.g., “1D U” = 1-Day Upper Band) for easy visual reference.
Custom Timeframe Control: Users can toggle specific timeframes on/off depending on their preferences and strategy.
Core Calculation Method (Unchanged)
Statistical Percentile Calculation:
Determines upper and lower thresholds using a historical percentile method applied to price deviations from a VWMA anchor.
Volatility Adjustment:
Dynamically scales the percentile thresholds based on a volatility factor (standard deviation vs. moving average).
Trend Filtering:
Adds a directional bias based on whether price is above or below its VWMA, pushing the bands higher in uptrends and lower in downtrends.
MTF Band Integration
This version calculates additional statistical bands using the same logic as the chart’s timeframe, but applies it to other timeframes selected by the user. These values are fetched using request.security() and then plotted onto the current chart using lines and labels.
This functionality allows traders to:
See if current price is extended compared to higher timeframe extremes.
Spot trend continuation or exhaustion relative to intraday or macro levels.
Identify areas of confluence for trade entries, exits, or stop placement.
Inputs & Customization
Statistical Percentile (default: 95)
Controls how extreme the bands are. Higher values = wider bands.
Lookback Period (default: 350)
Number of bars used to calculate percentiles. Longer = smoother bands.
VWMA Length (default: 20)
Sets the moving average anchor for calculating relative price deviation.
Volatility Factor Multiplier (default: 1.0)
Scales the influence of market volatility on band width.
Trend Strength Multiplier (default: 10.0)
Adjusts how far bands shift in the direction of the trend.
Timeframe Toggles (MTF)
Select which timeframes (e.g., 1H, 4H, 1D, 1W) to show on the chart.
Label Offset
Controls how far right MTF labels appear on the chart.
Use Case Scenarios
Overextension Detection:
Price touching or breaching an MTF band may suggest exhaustion, especially if confirmed by confluence or divergence.
Trend Confirmation:
Bands tilting in one direction across multiple timeframes can suggest strong trend alignment.
Risk Management:
Use bands from higher timeframes as trailing stops or invalidation zones.
Why This Is a Separate Script
This version uses request.security() to retrieve values from multiple timeframes, which:
Requires an upgraded TradingView plan (Pro+ or higher).
May impact performance on lower-tier plans.
Provides a major functional difference from the original, not a minor tweak or cosmetic upgrade.
To maintain compatibility and accessibility for all users, both versions are published separately:
The original for single-timeframe users.
This version for those using a multi-timeframe workflow.
Disclaimer
This script is for educational purposes only. It is intended to support your analysis—not to predict outcomes or replace risk management. Past performance is not indicative of future results. Always perform your own analysis and trade responsibly.
Chonky ATR Levels 2.0Show ATR based high/low projections.
Choose a custom ATR calculation in the indicator's settings.
The default is a 20day RMA based ATR.
----------How projections are calculated----------
To project the ATR High, the ATR value is added to the low of the current candle that matches the ATR's timeframe.
To project the ATR Low, the ATR value is subtracted from the high of the current candle that matches the ATR's timeframe.
Example:
If a 20day RMA ATR is used:
- the ATR High will be the current day's low + the ATR value.
- the ATR Low will be the current day's high - the ATR value.
*However*, if the price action exceeds either ATR projection, the opposite ATR level will be fixed to the extreme of the period.
See the AUDUSD screenshot above for an example.
The ATR Low was exceeded, so the ATR High projection is capped at the high of day.
If the ATR High is exceeded, the ATR Low would be capped at the low of day.
Rachas ATR AssistHey Traders!
This indicator is a simple, it uses Average True Range (ATR) data from the daily chart and the current timeframe to estimate potential range and volatility.
This indicator compares the daily ATR to the current daily wick range (from low to high), helping you gauge how much "room" might be left for price movement within the day. Alongside that, it shows the ATR over the last 14 candles and 5 candles on your current chart for intraday volatility awareness—ideal for setting stops, targets, or position sizing.
Gauge Daily Potential Movement:
The "Day Range Difference" cell shows how much of the expected daily range (based on ATR) is still unfilled. If the market has moved less than the average, there's still potential for expansion. If it's close to or above the ATR, expect a slowdown or reversal.
Position Sizing & Stop Losses:
Use the 14-period ATR and 5-period ATR on your current timeframe to understand recent volatility. This helps in choosing logical stop loss levels and adjusting position sizes based on market conditions.
Volatility Awareness:
Knowing the average daily range and how much of it has been used lets you avoid entering trades too late in the move or placing stops in overly tight spots.
Table Position & Font:
You can adjust the table location (top/bottom left/right) and font size to best fit your chart layout.
Order Block Indicator | DTDHello trader comuunity!
I'm uploading a basic script that I felt necessary to make to help me with some gaps in my day trading. I personally am a visual trader that benefits greatly from automating some the ideas I have in my head. There are awesome builders out there and me creating this script isn't a knock on what's currently available to us, but something I wanted to be able to manage. I am opening up what I've found extremely helpful to my own trading to the community.
Here we have a very simple ATR-based order block (OB) finder. It's not anything original, but I do find consistent opportunities when combined with other tools I use to measure the market. It takes into consideration the previous 25 candles to determine if the OB is significant enough to mark. I use the average of 25 because I simply like it. I use the 25 EMA as part of my "trending" templates and find it to be a hybrid timeframe of sorts. You can find macro and micro trade locations by switching timeframes.
The main elements of the script are:
1. ATR based tracking | A bullish OB is defined as a down close candle that is eclipsed by an up-close candle that closes above its high and sustained for 2 consecutive candles. Inversely, a bearish OB is defined by an up-close candle immediately followed by a down-close candle that closes below the low of the up-close candle and sustains for 2 consecutive candles.
2. Coloring the OB | Though up-close and down-close define bearish and bullish levels, with this script I basically make OBs to switch colors based on where price is relative to the block. So a bullish block can become bearish and bearish can become bullish. Each block also has a dashed midpoint.
3. Order Block Mitigation | When price retests an OB by closing inside of it and retracing back out, that is considered mitigation. You will see price tap into it, but continues to track as a valid block, it's because it didn't close inside the block. This is subject to change in the future, but it's how the script functions for now.
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There are nuances to the script that you will see as you use it. Sometimes mitigated OBs act as levels to consider as well. When multiple blocks overlap I consider that a high traffic area. I would never suggest to use an indicator by itself for trade ideas, but blocks that align on multiple timeframes are good to consider.
At the end of the day it's a support and resistance measure. I'll comment an update with a snapshot of the indicator with another proprietary indicator I've made that provides ample intraday trading opportunities.
Cheers,
DTD
Accumulation/Distribution Money Flow🔍 Decoding Market Intent: The Ultimate Accumulation-Distribution Visualizer
In a market environment flooded with indicators, patterns, and noise, understanding the true intent behind price movement can be a game-changer. I’m excited to share a custom
TradingView script I've built that distils two of the most powerful market dynamics into a simple and clean visual format: Accumulation & Distribution (AD) and Volatility Compression (BB Squeeze).
This script is not just another volume-based oscillator or squeeze detector. It’s a sentiment decoder. Built to visually represent underlying accumulation and distribution phases, this tool helps traders identify where smart money is moving in—quietly buying in a sea of red—or exiting while the crowd is still bullish.
What makes it stand out?
✅ Clear Identification of Accumulation and Distribution Zones
No clutter. The visual representation lets you catch early signals of supply absorption or demand exhaustion.
✅ Integrated BB Squeeze Logic
Price consolidating with decreasing volatility? The script overlays squeeze signals so you don’t miss the moment when compression leads to expansion.
✅ Noise Filtering
By combining sentiment zones with volatility insight, false breakouts and misleading volume spikes become easier to filter out.
✅ Simple, Clean Layout
Designed to assist—not overwhelm—you, whether you're intraday scalping or positioning for a swing entry.
________________________________________
🛠 How to Use It:
1. Look for Green Zones (Accumulation):
These highlight potential demand areas—often when price isn't showing it obviously. Early long entries become visible here.
2. Look for Red Zones (Distribution):
Caution flags. Potential profit-booking or early signs of breakdowns when price still looks stable.
3. Pay Attention to BB Squeeze Signals:
Grey bands indicate compression. When these align with accumulation or distribution zones, explosive moves are likely ahead.
4. Use with Price Action:
This is not a buy/sell script. It’s an edge-enhancer. Pair it with your price action, support/resistance, or structure-based trading system.
________________________________________
This tool is for those who seek to read the tape between the candles. Whether you're a seasoned trader or refining your system, this can become a crucial part of your toolkit.
I've marked a very typical kind of trade this indicator can allow us to take, see the price movement and where the indicator is going? (Drawn trend lines in yellow, both on price chart and on the indicator window)
Let me know how you use it or if you’d like it enhanced further. Feedback and collaboration always welcome!
This is for education purpose only, any past performance is not indicative of the future success of the indicator.
Regards.
Smart Dynamic Levels [ATR-Based]Smart Dynamic Levels
Automated Support & Resistance Levels Based on Market Volatility
Overview:
This advanced indicator automatically plots dynamic support and resistance levels based on the Average True Range (ATR), creating meaningful price zones that adapt to changing market conditions. Unlike static round-number levels, these volatility-adjusted zones provide more relevant technical reference points.
Key Features:
Volatility-Responsive: Levels automatically adjust based on the asset's ATR
Smart Visualization:
Color gradient shows strength of each level (darker = stronger)
Bullish (green) levels below price, bearish (red) levels above
Customizable Settings:
Adjust ATR length (14-period default)
Modify level sensitivity with ATR multiplier (1.5x default)
Choose number of levels to display (5 above/below default)
Toggle labels and line extensions
How It Works:
Calculates the asset's true volatility using ATR
Rounds to significant price intervals based on current volatility
Plots equidistant levels above and below current price
Colors levels based on their position relative to price
Automatically updates as market conditions change
Recommended Use:
Day Trading: Identify intraday support/resistance zones
Swing Trading: Spot potential reversal areas
Breakout Trading: Watch for moves beyond key levels
Works on all markets: Stocks, Forex, Crypto, Futures
Settings Guide:
ATR Length: Higher values for smoother levels (14-20)
Multiplier: Increase for wider levels (1.5-3x)
Levels Count: More levels for higher timeframes (3-10)
Pro Tips:
Combine with trend analysis - levels are more significant when aligned with trend
Watch for price reactions at these levels for confirmation
Use wider levels (higher multiplier) for volatile assets
Rolling ATR Momentum
Rolling ATR Momentum Indicator – User Manual
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🔍 Overview
The Rolling ATR Momentum Indicator is a simple yet powerful tool designed to detect shifts in market volatility. It compares the current Average True Range (ATR) with the ATR from a previous point in time to measure how market volatility is changing.
This indicator is especially useful for:
- Spotting the beginning or fading of a momentum phase
- Filtering out low-volatility market conditions
- Enhancing timing for entries and exits in trending or breakout trades
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📊 Key Components
✅ ATR Delta (Rolling)
- Definition: `ATR Delta = Current ATR - Past ATR`
- Inputs:
- ATR Period (default: 14): The base ATR calculation window
- Lookback Period (default: 5): How many bars ago to compare ATR
- Interpretation:
- Positive ATR Delta (Green Line): Market volatility is increasing
- Negative ATR Delta (Red Line): Market volatility is decreasing
📈 Zero Line
- A horizontal baseline at zero helps you easily see when ATR momentum shifts from negative to positive (or vice versa).
🟩/🟥 Background Color
- Green Background: ATR Delta is positive (rising volatility)
- Red Background: ATR Delta is negative (falling volatility)
🔵 Optional: ATR Reference Lines
- You can optionally display raw Current ATR and Past ATR by changing their visibility settings.
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✅ How to Use It
Entry Timing (Futures/Options)
- Use ATR Delta as a filter:
- Only take trades when ATR Delta is positive → confirms momentum is building
- Avoid trades when ATR Delta is negative → market might be slow, sideways, or losing steam
Breakout Anticipation
- A rising ATR Delta after a tight range or consolidation can suggest that a breakout is underway
Stop-loss Strategy
- Use high ATR periods for wider stops (to avoid noise)
- Use low ATR periods for tighter stops or skip trading
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🧠 Pro Tips
- This indicator doesn’t predict direction—combine with trend or price structure tools (like EMA, PPMA, candlesticks)
- Works best in trending or breakout environments
- Add it to multi-timeframe layouts to see volatility buildup on higher timeframes
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⚙️ Settings
| Parameter | Description |
|----------|-------------|
| ATR Period | Length of the ATR calculation (default 14) |
| Lookback Period | How many bars back to compare ATR values |
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🧭 Best For:
- Index futures (Nifty, BankNifty)
- Option buyers needing volatility confirmation
- Intraday & swing traders looking to trade momentum setups
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Use the Rolling ATR Momentum indicator as your volatility radar—simple, clean, and highly effective for staying on the right side of market energy.
End of Manual
Rolling ATR Momentum - EnhancedATR Rolling Momentum Indicator – User Manual
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🔍 Overview
The ATR Rolling Momentum Indicator is a dynamic volatility tool built on the Average True Range (ATR). It not only tracks increasing or decreasing momentum but also provides early warnings and confirmation signals for potential breakout moves. It’s especially powerful for futures and options traders looking to align with expanding price action.
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📊 Core Components
✅ ATR Delta (Rolling ATR)
- Definition: Difference between current ATR and past ATR (user-defined lookback).
- Use: Tells whether volatility is expanding (positive delta) or contracting (negative delta).
- Visual: Green line for rising momentum, red for declining.
🟣 ATR Delta Slope
- Definition: Measures acceleration in momentum.
- Use: Helps identify early signs of breakout buildup.
- Visual: Purple line. Watch for slope turning up from below.
🟡 Volatility Squeeze (Yellow Dot)
- Definition: Current ATR is significantly lower than its 20-period average.
- Use: Indicates the market is coiling—possible breakout ahead.
🔼 Momentum Start (Green Triangle)
- Definition: ATR Delta slope turns from negative to positive.
- Use: Early warning to prepare for volatility expansion.
🔷 Breakout Confirmation (Blue Label Up)
- Definition: ATR Delta exceeds its high of the last 10 candles.
- Use: Confirms volatility breakout—trade opportunity if direction aligns.
🟩/🟥 Background Color
- Green Background: Momentum rising (positive ATR delta)
- Red Background: Momentum falling (negative ATR delta)
- Yellow Tint: Active squeeze zone
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✅ How to Use It (Futures/Options Focus)
Step-by-Step:
1. Squeeze Detected (Yellow Dot) → Stay alert. Market is coiling.
2. Green Triangle Appears → Momentum is starting to rise.
3. Background Turns Green → Confirmed rising momentum.
4. Blue Label Appears → Confirmed breakout (enter trade if trend aligns).
Directional Bias:
- Use your main chart setup (price action, EMAs, trendlines, etc.) to decide direction (Call or Put, Long or Short).
- ATR Momentum only tells you how strong the move is—not which way.
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⚙️ Inputs & Settings
- ATR Period: Default 14 (core volatility measure)
- Rolling Lookback: Used to calculate delta (default 5)
- Slope Length: Used to measure acceleration (default 3)
- Squeeze Factor: Default 0.8 — lower = more sensitive squeeze detection
- Breakout Lookback: Checks ATR delta against last X bars (default 10)
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🧠 Pro Tips
- Works great when paired with EMA stacks, price structure, or breakout patterns.
- Avoid taking trades based only on squeeze or momentum—combine with chart confirmation.
- If background turns red after a breakout, it may be losing momentum—book partials or tighten stops.
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🧭 Ideal For:
- Nifty/BankNifty Futures
- Option directional trades (call/put buying)
- Index scalping and momentum swing setups
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Use this tool as your volatility compass—it won't tell you where to go, but it'll tell you when the wind is strong enough to move fast.
End of Manual
FUMO GHOST V1.1FUMO GHOST V1.0 is a high-precision trend-following strategy that identifies explosive price continuations using EMA + Supertrend logic, filtered through Heikin Ashi confirmation candles.
This strategy is designed to operate across timeframes — from scalping (1M) to swing trading (1H+) — using adaptive auto-settings for sensitivity.
It’s built to be minimal, efficient, and bold — just like the #FUMO mindset.
🔍 Core Logic:
Supertrend (ATR-based) defines trend direction
EMA is used as a momentum baseline
Heikin Ashi logic filters entries:
Long: price above EMA, trend up, HA candle strong (open == low)
Short: price below EMA, trend down, HA candle weak (open == high)
Exit: triggered automatically on Supertrend reversal
This system is designed to stay in the trend as long as it’s valid — no scalping in/out or rapid re-entries.
⚙ Strategy Settings:
Auto-adjusts EMA & ATR parameters by timeframe (1M to 1D)
Manual override available (use_custom = true)
“Silent Mode” hides all visuals for minimal charting
Uses internal Heikin Ashi logic, regardless of visible candles
🧪 Backtest Notes:
Backtest is powered by TradingView’s built-in strategy() engine
Default risk: 10% equity per trade
For accurate simulation, enable “Use standard OHLC” in strategy settings — this ensures reliable backtest when internal Heikin Ashi logic is used
🔒 Why is the code protected?
This script uses:
A unique combination of Supertrend + EMA + Heikin Ashi filters
Internal timeframe-aware parameter scaling
Logic tuned specifically for explosive trend continuations
While freely available for public use, the source code is closed to protect the inner mechanism and prevent reverse engineering.
FUMO GHOST V1.0 is built for clarity, conviction, and confidence.
Make your next trade bold.
Make Fuck U Money — 24/7.
Smart Money Breakout & Order Block StrategySmart Money Breakout & Order Block Strategy
Created by Shubham
This strategy was developed by Shubham, designed to provide traders with a structured approach to smart money trading by combining breakout entries and order block reversals. It focuses on liquidity zones, volatility filters, and ATR-based stop management to adapt to different market conditions.
🔹 Strategy Overview
The Smart Money Breakout & Order Block Strategy is built for traders who want to identify institutional moves while avoiding false breakouts. This non-repainting strategy helps traders detect:
✅ Momentum Breakouts – Price breaking key support & resistance levels.
✅ Order Block Reversals – Institutional buying & selling zones.
✅ Dynamic Stop Management – No fixed SL/TP; uses ATR-based trailing stops.
✅ Volatility Filtering – Avoids choppy market conditions.
🔹 Trading Logic
1️⃣ Breakout Trading (Momentum Entries)
Long Entry: When price breaks above resistance with high volatility.
Short Entry: When price breaks below support with high volatility.
2️⃣ Order Block Reversals (Liquidity Entries)
Bullish Order Block: A strong price rejection after consecutive bearish candles signals smart money accumulation, triggering a long trade.
Bearish Order Block: A strong price rejection after consecutive bullish candles signals smart money distribution, triggering a short trade.
3️⃣ Volatility Filter (False Signal Prevention)
Uses normalized volatility to ensure breakouts are backed by strong momentum.
Helps filter out low-volume, choppy market conditions.
4️⃣ ATR-Based Position Management (Dynamic Stops & Trailing Stop)
No fixed SL/TP → Uses ATR-based stop-loss to adapt to market volatility.
Implements a trailing stop for maximizing potential profits in trending markets.
🔹 Key Features
✔️ Developed by Shubham – Designed for precision trading with institutional techniques.
✔️ Smart Money Concept – Identifies liquidity zones, breakouts, and order blocks.
✔️ Volatility Filter – Prevents false breakouts by analyzing market momentum.
✔️ ATR-Based Dynamic Stops – No fixed SL/TP, making it more adaptive.
✔️ Trailing Stop Functionality – Allows profits to run while reducing risk.
✔️ Fully Automated Execution – Uses TradingView’s strategy functions for automatic trade placement and exits.
✔️ Commission-Adjusted Backtesting – Includes realistic commission settings to ensure accurate results.
📊 Backtesting & Realistic Expectations
✅ Best for Higher Timeframes (1H, 4H, Daily) – Avoids market noise.
✅ Most Effective in Trending & Volatile Markets – Crypto, forex, indices, and commodities.
✅ Performance Varies with Market Conditions – Works best in strong trends.
✅ No Unrealistic Promises – Strategy performance is dependent on market behavior and risk management.
📌 IMPORTANT DISCLAIMER:
This strategy is provided for educational purposes only and should not be considered financial advice. Past performance in backtesting does not guarantee future results. Users should conduct their own research before applying this strategy in live markets.
🚀 Developed by Shubham – Test it yourself and see how it performs! 🚀
Cycle Theory + Frequency TheoryCycle Theory attempts to predict, through volatility, support/resistance points where the market may reach/reverse a trend. This theory's calculation is based on a reference candle that the user chooses, usually the first candle of the day/week's session. From this point on, if the level is broken upwards or downwards, the 1st Cycle begins with the same distance between the high/low or open/close of the reference candle. From the 2nd Cycle onwards, the size becomes the sum of all the last cycles formed, and so on.
Frequency Theory is similar, but its levels always have the same size as the high/low or open/close of the reference candle.
Smart Mean Reversion DashboardThis indicator is designed to help traders identify potential mean reversion opportunities using a combination of Bollinger Bands, RSI, and deviation from the moving average. It provides a clean, visually appealing dashboard that displays key metrics and signals in real-time.
How to Read and Use:
Deviation from Mean:
Displays the percentage deviation of the current price from the moving average.
A high positive or negative deviation may indicate overextension and a potential mean reversion opportunity.
Bollinger Band Status:
Indicates whether the price is inside or outside the Bollinger Bands.
"Outside Upper" suggests overbought conditions, while "Outside Lower" suggests oversold conditions.
RSI Status:
Shows whether the RSI is in overbought (>70), oversold (<30), or neutral conditions.
Overbought and oversold levels can confirm potential reversal zones.
Signal:
BUY: Triggered when the price is outside the lower Bollinger Band and RSI is in the oversold zone.
SELL: Triggered when the price is outside the upper Bollinger Band and RSI is in the overbought zone.
WAIT: No clear signal; wait for better conditions.
Important Notes:
This is NOT a buy or sell recommendation. This indicator is a tool to assist in identifying potential trading opportunities. Always use it in conjunction with your own analysis and risk management.
The signals generated by this indicator are based on historical data and do not guarantee future performance.
It is recommended to use this indicator alongside other technical analysis tools and confirm signals with price action or other strategies.
Features:
Dashboard: Displays deviation, Bollinger Band status, RSI status, and signals in a clean, movable interface.
Customizable Settings: Adjust Bollinger Band length, RSI length, and moving average length to suit your trading style.
Visual Enhancements: Color-coded signals and metrics for easy interpretation in both light and dark modes.
Disclaimer:
Trading involves significant risk, and past performance is not indicative of future results. This indicator is for educational purposes only and should not be considered financial advice. Always consult with a financial advisor before making trading decisions.
CME Price LimitCalculates the CME Price Limit
The reference price is obtained from the previous day's closing settlement price
(data pulled from the asset's daily chart with settlement enabled)
Percentage limit can be modified in settings
Buffer can be enabled (for example, 2% buffer on a 7% limit, so a line gets drawn at 5% too)
Alert can be enabled for price crossing a certain percentage from reference on the day
You can choose to plot the historical lines on every day, or the current day only
The reference price output can be found in the data window, or in the indicator status line if enabled in the settings.
Before placing real trades with this, you should compare the indicator's reference price to what's shown on CME's website, to double check that TradingView's data matches for your contract.
www.cmegroup.com
Smart Grid Scalping (Pullback) Strategy[BullByte]The Smart Grid Scalping (Pullback) Strategy is a high-frequency trading strategy designed for short-term traders who seek to capitalize on market pullbacks. This strategy utilizes a dynamic ATR-based grid system to define optimal entry points, ensuring precise trade execution. It integrates volatility filtering and an RSI-based confirmation mechanism to enhance signal accuracy and reduce false entries.
This strategy is specifically optimized for scalping by dynamically adjusting trade levels based on current market conditions. The grid-based system helps capture retracement opportunities while maintaining strict trade management through predefined profit targets and trailing stop-loss mechanisms.
Key Features :
1. ATR-Based Grid System :
- Uses a 10-period ATR to dynamically calculate grid levels for entry points.
- Prevents chasing trades by ensuring price has reached key levels before executing entries.
2. No Trade Zone Protection :
- Avoids low-volatility zones where price action is indecisive.
- Ensures only high-momentum trades are executed to improve success rate.
3. RSI-Based Entry Confirmation :
- Long trades are triggered when RSI is below 30 (oversold) and price is in the lower grid zone.
- Short trades are triggered when RSI is above 70 (overbought) and price is in the upper grid zone.
4. Automated Trade Execution :
- Long Entry: Triggered when price drops below the first grid level with sufficient volatility.
- Short Entry: Triggered when price exceeds the highest grid level with sufficient volatility.
5. Take Profit & Trailing Stop :
- Profit target set at a customizable percentage (default 0.2%).
- Adaptive trailing stop mechanism using ATR to lock in profits while minimizing premature exits.
6. Visual Trade Annotations :
- Clearly labeled "LONG" and "SHORT" markers appear at trade entries for better visualization.
- Grid levels are plotted dynamically to aid decision-making.
Strategy Logic :
- The script first calculates the ATR-based grid levels and ensures price action has sufficient volatility before allowing trades.
- An additional RSI filter is used to ensure trades are taken at ideal market conditions.
- Once a trade is executed, the script implements a trailing stop and predefined take profit to maximize gains while reducing risks.
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Disclaimer :
Risk Warning :
This strategy is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Users are advised to conduct their own due diligence and risk management before using this strategy in live trading.
The developer and publisher of this script are not responsible for any financial losses incurred by the use of this strategy. Market conditions, slippage, and execution quality can affect real-world trading outcomes.
Use this script at your own discretion and always trade responsibly.
Profit Trailing BBandsProfit Trailing Trend BBands v4.7.5 with Double Trailing SL
A TradingView Pine Script Strategy
Created by Kevin Bourn and refined with the help of Grok 3 (xAI)
Overview
Welcome to Profit Trailing Trend BBands v4.7.5, a dynamic trading strategy designed to ride trends and lock in profits with a unique double trailing stop-loss mechanism. Built for TradingView’s Pine Script v6, this strategy combines Bollinger Bands for trend detection with a smart trailing system that doubles down on profit protection. Whether you’re trading XRP or any other asset, this tool aims to maximize gains while keeping risk in check—all with a clean, visual interface.
What It Does
Identifies Trends: Uses Bollinger Bands to spot uptrends (price crossing above the upper band) and downtrends (price crossing below the lower band).
Enters Positions: Opens long or short trades based on trend signals, with customizable position sizing and leverage.
Trails Profits: Employs a two-stage trailing stop-loss:
Initial Trailing SL: Acts as a take-profit level, set as a percentage (%) or dollar ($) distance from the entry price.
Tightened Trailing SL: Once the initial profit target is hit, the stop-loss tightens to half the initial distance, locking in gains as the trend continues.
Manages Risk: Includes a margin call feature to exit losing positions before they blow up your account.
Visualizes Everything: Plots Bollinger Bands (blue upper, orange lower) and a red stepped trailing stop-loss line for easy tracking.
Why Built It?
Captures Trends: Bollinger Bands are a proven way to catch momentum, and we tuned them for responsiveness (short length, moderate multiplier).
Secures Profits: Traditional trailing stops often leave money on the table or exit too early. The double trailing SL first takes a chunk of profit, then tightens up to ride the rest of the move.
Stays Flexible: Traders can tweak price sources, stop-loss types (% or $), and position sizing to fit their style.
Looks Good: Clear visuals help you see the strategy in action without cluttering your chart.
Originally refined for XRP, it’s versatile enough for most markets — crypto, forex, stocks, you name it.
How It Works
Core Components
Bollinger Bands:
Calculated using a simple moving average (SMA) and standard deviation.
Default settings: 6-period length, 1.66 multiplier.
Upper Band (blue): SMA + (1.66 × StdDev).
Lower Band (orange): SMA - (1.66 × StdDev).
Trend signals: Price crossing above the upper band triggers a long, below the lower band triggers a short.
Double Trailing Stop-Loss:
Initial SL: Set via "Trailing Stop-Loss Value" (default 6% or $6). Trails the price at this distance and doubles as the first profit target.
Tightened SL: Once price hits the initial SL distance in profit (e.g., +6%), the SL tightens to half (e.g., 3%) and continues trailing, locking in gains.
Visualized as a red stepped line, only visible during active positions.
Position Sizing:
Choose "% of Equity" (default 30%) or "Amount in $" to set trade size.
Leverage (default 10x) amplifies positions, capped by available equity to avoid overexposure.
Margin Call:
Exits positions if drawdown exceeds the "Margin %" (default 10%) to protect your account.
Backtesting Filter:
Starts trading after a user-defined date (default: Jan 1, 2020) for focused historical analysis.
Trade Logic
Long Entry: Price crosses above the upper Bollinger Band → Closes any short position, opens a long.
Short Entry: Price crosses below the lower Bollinger Band → Closes any long position, opens a short.
Exit: Position closes when price hits the trailing stop-loss or triggers a margin call.
How to Use It
Setup
Add to TradingView:
Open TradingView, go to the Pine Editor, paste the script, and click "Add to Chart."
Ensure you’re using Pine Script v6 (the script includes @version=6).
Configure Inputs:
Start Date for Backtesting: Set the date to begin historical testing (default: Jan 1, 2020).
BB Length & Mult: Adjust Bollinger Band sensitivity (default: 6, 1.66).
BB Price Source: Choose the price for BBands (default: Close).
Trend Price Source: Choose the price for trend detection (default: Close).
Trailing Stop-Loss Type: Pick "%" or "$" (default: Trailing SL %).
Trailing Stop-Loss Value: Set the initial SL distance (default: 6).
Margin %: Define the max drawdown before exit (default: 10%).
Order Size Type & Value: Set position size as % of equity (default: 30%) or $ amount.
Leverage: Adjust leverage (default: 10x).
Run It:
Use the Strategy Tester tab to backtest on your chosen asset and timeframe.
Watch the chart for blue/orange Bollinger Bands and the red trailing SL line.
Tips for Traders
Timeframes: Works on any timeframe, but test 1H or 4H for XRP—great balance of signals and noise.
Assets: Optimized for XRP, but tweak slValue and mult for other markets (e.g., tighter SL for low-volatility pairs).
Risk Management: Keep marginPercent low (5-10%) for volatile assets; adjust leverage based on your risk tolerance.
Visuals: The red stepped SL line shows only during trades—zoom in to see its tightening in action.
Visuals on the Chart
Blue Line: Upper Bollinger Band (trend entry for longs).
Orange Line: Lower Bollinger Band (trend entry for shorts).
Red Stepped Line: Trailing Stop-Loss (shifts tighter after the first profit target).
Order Labels: Short tags like "OL" (Open Long), "CS" (Close Short), "LSL" (Long Stop-Loss), etc., mark trades.
Disclaimer
Trading involves risk. This strategy is for educational and experimental use—backtest thoroughly and use at your own risk. Past performance doesn’t guarantee future results. Not financial advice—just a tool from traders, for traders.
TTM Squeeze Momentum MTF [Cometreon]TTM Squeeze Momentum MTF combines the core logic of both the Squeeze Momentum by LazyBear and the TTM Squeeze by John Carter into a single, unified indicator. It offers a complete system to analyze the phase, direction, and strength of market movements.
Unlike the original versions, this indicator allows you to choose how to calculate the trend, select from 15 different types of moving averages, customize every parameter, and adapt the visual style to your trading preferences.
If you are looking for a powerful, flexible and highly configurable tool, this is the perfect choice for you.
🔷 New Features and Improvements
🟩 Unified System: Trend Detection + Visual Style
You can decide which logic to use for the trend via the "Show TTM Squeeze Trend" input:
✅ Enabled → Trend calculated using TTM Squeeze
❌ Disabled → Trend based on Squeeze Momentum
You can also customize the visual style of the indicator:
✅ Enable "Show Histogram" for a visual mode using Histogram, Area, or Column
❌ Disable it to display the classic LazyBear-style line
Everything updates automatically and dynamically based on your selection.
🟩 Full Customization
Every base parameter of the original indicator is now fully configurable: lengths, sources, moving average types, and more.
You can finally adapt the squeeze logic to your strategy — not the other way around.
🟩 Multi-MA Engine
Choose from 15 different Moving Averages for each part of the calculation:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
🟩 Dynamic Signal Line
Apply a moving average to the momentum for real-time cross signals, with full control over its length and type.
🟩 Multi-Timeframe & Multi-Ticker Support
You're no longer limited to the chart's current timeframe or ticker. Apply the squeeze to any symbol or timeframe without repainting.
🔷 Technical Details and Customizable Inputs
This indicator offers a fully modular structure with configurable parameters for every component:
1️⃣ Squeeze Momentum Settings – Choose the source, length, and type of moving average used to calculate the base momentum.
2️⃣ Trend Mode Selector – Toggle "Show TTM Squeeze Trend" to select the trend logic displayed on the chart:
✅ Enabled – Shows the trend based on TTM Squeeze (Bollinger Bands inside/outside Keltner Channel)
❌ Disabled – Displays the trend based on Squeeze Momentum logic
🔁 The moving average type for the Keltner Channel is handled automatically, so you don't need to select it manually, even if the custom input is disabled.
3️⃣ Signal Line – Toggle the Signal Line on the Squeeze Momentum. Select its length and MA type to generate visual cross signals.
4️⃣ Bollinger Bands – Configure the length, multiplier, source, and MA type used in the bands.
5️⃣ Keltner Channel – Adjust the length, multiplier, source, and MA type. You can also enable or disable the True Range option.
6️⃣ Advanced MA Parameters – Customize the parameters for advanced MAs (JMA, ALMA, FRAMA, VIDYA), including Phase, Power, Offset, Sigma, and Shift values.
7️⃣ Ticker & Input Source – Select the ticker and manage inputs for alternative chart types like Renko, Kagi, Line Break, and Point & Figure.
8️⃣ Style Settings – Choose how the squeeze is displayed:
Enable "Show Histogram" for Histogram, Area, or Column style
Disable it to show the classic LazyBear-style line
Use Reverse Color to invert line colors
Toggle Show Label to highlight Signal Line cross signals
Customize trend colors to suit your preferences
9️⃣ Multi-Timeframe Options - Timeframe – Use the squeeze on higher timeframes for stronger confirmation
🔟 Wait for Timeframe Closes -
✅ Enabled – Prevents multiple signals within the same candle
❌ Disabled – Displays the indicator smoothly without delay
🔧 Default Settings Reference
To replicate the default settings of the original indicators as they appear when first applied to the chart, use the following configurations:
🟩 TTM Squeeze (John Carter Style)
Squeeze
Length: 20
MA Type: SMA
Show TTM Squeeze Trend: Enabled
Bollinger Bands
Length: 20
Multiplier: 2.0
MA Type: SMA
Keltner Channel
Length: 20
Multiplier: 1.0
Use True Range: ON
MA Type: EMA
Style
Show Histogram: Enabled
Reverse Color: Enabled
🟩 Squeeze Momentum (LazyBear Style)
Squeeze
Length: 10
MA Type: SMA
Show TTM Squeeze Trend: Disabled
Bollinger Bands
Length: 20
Multiplier: 1.5
MA Type: SMA
Keltner Channel
Length: 10
Multiplier: 1.5
Use True Range: ON
MA Type: SMA
Style
Show Histogram: Disabled
Reverse Color: Disabled
⚠️ These values are intended as a starting point. The Cometreon indicator lets you fully customize every input to fit your trading style.
🔷 How to Use Squeeze Momentum Pro
🔍 Identifying Trends
Squeeze Momentum Pro supports two different methods for identifying the trend visually, each based on a distinct logic:
Squeeze Momentum Trend (LazyBear-style):
Displays 3 states based on the position of the Bollinger Bands relative to the Keltner Channel:
🔵 Blue = No Squeeze (BB outside KC and KC outside BB)
⚪️ White = Squeeze Active (BB fully inside KC)
⚫️ Gray = Neutral state (none of the above)
TTM Squeeze Trend (John Carter-style):
Calculates the difference in width between the Bollinger Bands and the Keltner Channel:
🟩 Green = BB width is greater than KC → potential expansion phase
🟥 Red = BB are tighter than KC → possible compression or pre-breakout
📈 Interpreting Signals
Depending on the active configuration, the indicator can provide various signals, including:
Trend color → Reflects the current compression/expansion state (based on selected mode)
Momentum value (above or below 0) → May indicate directional pressure
Signal Line cross → Can highlight momentum shifts
Color change in the momentum → May suggest a potential trend reversal
🛠 Integration with Other Tools
Squeeze Momentum Pro works well alongside other indicators to strengthen market context:
✅ Volume Profile / OBV – Helps confirm accumulation or distribution during squeezes
✅ RSI – Useful to detect divergence between momentum and price
✅ Moving Averages – Ideal for defining primary trend direction and filtering signals
☄️ If you find this indicator useful, leave a Boost to support its development!
Every piece of feedback helps improve the tool and deliver an even better trading experience.
🔥 Share your ideas or feature requests in the comments!
EMA Price Range by tuanduongEMA Price Range Indicator – Dynamic Range Analysis with Custom EMA (tuanduong2511)
Overview
The EMA Price Range Indicator is designed to help traders visualize the distance between price action and a key Exponential Moving Average (EMA). This indicator dynamically calculates the range from each candle to a user-defined EMA and displays it in a real-time table. By understanding the relationship between price and the EMA, traders can better gauge potential support, resistance, and overextension in the market.
Key Features
✅ Customizable EMA – Allows users to choose the EMA period that best suits their strategy (default: 144).
✅ Real-Time Range Calculation – Computes the absolute difference between the EMA and the price (using the high or low, depending on whether the candle is above or below the EMA).
✅ Minimalist UI – The EMA is plotted directly on the chart, while a small table in the bottom-right corner provides numerical insights, reducing chart clutter.
✅ Versatile Use Cases – Suitable for trend-following traders (identifying pullbacks to EMA) and mean-reversion traders (spotting extended price movements).
How It Works
User-Defined EMA:
The script calculates an Exponential Moving Average (EMA) based on the selected period.
EMA adapts dynamically, giving more weight to recent price movements.
Range Calculation:
If the price is above the EMA, the range is measured from the high point of the candle to the EMA.
If the price is below the EMA, the range is measured from the low point of the candle to the EMA.
This approach ensures that we’re measuring the most relevant distance for price interaction.
Live Table Display:
The current EMA value and the distance (range) from the price are displayed in a small table in the bottom-right corner of the chart.
How to Use It
📌 Trend Traders: Use the indicator to track pullbacks to key EMAs (e.g., EMA 50, 144, or 200). When the price is far from the EMA, it may indicate an overextended trend or potential retracement zone.
📌 Mean Reversion Traders: Look for extreme deviations between price and the EMA. Large distances can signal potential price snapbacks to the mean.
📌 Scalping & Day Trading: Short-term traders can use it with fast EMAs (e.g., EMA 21 or 34) to measure quick price movements relative to short-term momentum.
Why This Indicator?
Unlike traditional EMA indicators, which only plot a moving average, this script provides quantifiable price distance to the EMA, helping traders make data-driven decisions. It allows traders to answer:
✅ Is the price stretched too far from the EMA?
✅ Should I wait for a pullback before entering?
✅ Is the trend strong, or is the price losing momentum?
By integrating EMA-based range analysis, traders gain a clearer understanding of market conditions and can improve their entry, exit, and risk management strategies.
VIDYA Auto-Trading(Reversal Logic)Overview
This script is a dynamic trend-following strategy based on the Variable Index Dynamic Average (VIDYA). It adapts in real time to market volatility, aiming to enhance entry precision and optimize risk management.
⚠️ This strategy is intended for educational and research purposes. Past performance does not guarantee future results. All results are based on historical simulations using fixed parameters.
Strategy Objectives
The objective of this strategy is to respond swiftly to sudden price movements and trend reversals, providing consistent and reliable trade signals under historical testing conditions. It is designed to be intuitive and efficient for traders of all levels.
Key Features
Momentum Sensitivity via VIDYA: Reacts quickly to momentum shifts, allowing for accurate trend-following entries.
Volatility-Based ATR Bands: Automatically adjusts stop levels and entry conditions based on current market volatility.
Intuitive Trend Visualization: Uptrends are marked with green zones, and downtrends with red zones, giving traders clear visual guidance.
Trading Rules
Long Entry: Triggered when price crosses above the upper band. Any existing short position is closed.
Short Entry: Triggered when price crosses below the lower band. Any existing long position is closed.
Exit Conditions: Positions are reversed based on signal changes, using a position reversal strategy.
Risk Management Parameters
Market: ETHUSD(5M)
Account Size: $3,000 (reasonable approximation for individual traders)
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted to comply with TradingView guidelines for realistic risk levels)
Number of Trades: 251 (based on backtest over the selected dataset)
⚠️ The risk per trade and other values can be customized. Users are encouraged to adapt these to their individual needs and broker conditions.
Trading Parameters & Considerations
VIDYA Length: 10
VIDYA Momentum: 20
Distance factor for upper/lower bands: 2
Source: close
Visual Support
Trend zones, entry points, and directional shifts are clearly plotted on the chart. These visual cues enhance the analytical experience and support faster decision-making.
Visual elements are designed to improve interpretability and are not intended as financial advice or trade signals.
Strategy Improvements & Uniqueness
Inspired by the public work of BigBeluga, this script evolves the original concept with meaningful enhancements. By combining VIDYA and ATR bands, it offers greater adaptability and practical value compared to conventional trend-following strategies.
This adaptation is original work and not a direct copy. Improvements are designed to enhance usability, risk control, and market responsiveness.
Summary
This strategy offers a responsive and adaptive approach to trend trading, built on momentum detection and volatility-adjusted risk management. It balances clarity, precision, and practicality—making it a powerful tool for traders seeking reliable trend signals.
⚠️ All results are based on historical data and are subject to change under different market conditions. This script does not guarantee profit and should be used with caution and proper risk management.
Body Percentage of Range (Colored)Short Description:
This indicator measures the dominance of the candle's body relative to its total range (High - Low), providing a visual gauge of intra-candle strength versus indecision. Columns are colored based on whether the body constitutes more or less than a defined percentage (default 50%) of the candle's total height.
Detailed Description:
What it Does:
The "Body Percentage of Range" indicator calculates, for each candle, what percentage of the total price range (High minus Low) is occupied by the candle's body (absolute difference between Open and Close).
A value of 100% means the candle has no wicks (a Marubozu), indicating strong conviction during that period.
A value of 0% means the candle has no body (a Doji), indicating perfect indecision.
Values in between show the relative balance between the directional move (body) and the price exploration/rejection (wicks).
How to Interpret:
The indicator plots this percentage as columns:
Column Height: Represents the percentage of the body relative to the total range. Higher columns indicate a larger body dominance.
Column Color:
Green Columns: Appear when the body percentage is above the user-defined threshold (default 50%). This suggests that the directional move within the candle was stronger than the indecision (wicks). Often seen during trending moves or strong momentum candles.
Red Columns: Appear when the body percentage is at or below the user-defined threshold (default 50%). This suggests that wicks dominate the candle (body is 50% or less of the range), indicating significant indecision, struggle between buyers and sellers, or potential reversals. These are common in choppy, consolidating, or reversal market conditions.
Orange Line (Optional MA): A Simple Moving Average (SMA) of the body percentages is plotted to help smooth the readings and identify broader periods where candle structure indicates more trending (high MA) vs. ranging/indecisive (low MA) characteristics.
Potential Use Cases:
Identifying Choppy vs. Trending Markets: Sustained periods of low, predominantly red columns (and often a low/declining MA) can signal a choppy, range-bound market where trend-following strategies might underperform. Conversely, periods with frequent high, green columns suggest a more trending environment.
Confirming Breakouts/Momentum: High green columns appearing alongside increased volume during a breakout can add conviction to the move's strength.
Spotting Potential Exhaustion/Reversals: A very tall green column after a strong trend, followed immediately by a low red column (like a Doji or Spinning Top pattern appearing on the price chart), might signal potential exhaustion or a pending reversal, indicating indecision has suddenly entered the market.
Filtering Entries: Traders might avoid taking entries (especially trend-following ones) when the indicator shows a consistent pattern of low red columns, suggesting high market indecision.
Settings:
Color Threshold %: Allows you to set the percentage level above which columns turn green (default is 50%).
Smoothing MA Length: Adjusts the lookback period for the Simple Moving Average.
Disclaimer:
This indicator is a tool for technical analysis and should be used in conjunction with other methods (like price action, volume analysis, other indicators) and robust risk management. It does not provide direct buy/sell signals and past performance is not indicative of future results.
