Avi - 8 MAMoving Averages (MA) Section
User Inputs:
The script lets you enable/disable and configure eight different moving averages. For each MA, you can choose:
The type: Simple Moving Average (SMA) or Exponential Moving Average (EMA)
The period (length)
The color used for plotting
Calculation:
A custom function (maFunc) calculates the MA value based on the selected type and length. Each moving average (from MA 1 to MA 8) is computed accordingly and then plotted on the chart.
2. EMA Cloud
Inputs:
There are inputs for a "Fast EMA" (default 8) and a "Slow EMA" (default 21).
Calculation & Plotting:
The script calculates the 8-period and 21-period EMAs. Although these EMAs are not directly plotted (they’re set with display.none), they are used to determine the market condition:
If the fast EMA is above the slow EMA, the area between them is filled with a greenish color.
If the fast EMA is below the slow EMA, the fill color turns reddish.
3. Buyer/Seller Pressure & ATR Calculations
Price Difference:
The script computes the difference between the close and open prices (as well as the percentage difference), which can be used as a measure of buyer vs. seller pressure.
ATR (Average True Range):
A 14-period ATR is calculated and then expressed as a percentage of the current close price. This gives a sense of volatility relative to the price level.
4. Volume Metrics & Relative Volume
Daily Volume & Averages:
The script retrieves daily volume data and computes a moving average for volume over a configurable length (default 20).
Relative Volume:
It calculates:
The average volume for the current period.
A relative volume multiplier comparing current volume to its moving average.
An estimated full-day volume based on the elapsed trading time, and checks if it will exceed the previous day’s volume.
The values are then formatted (e.g., converting to millions) for easier reading.
Conditional Formatting:
A background color is set based on whether the estimated relative volume is above or below a threshold.
5. Table Display
Purpose:
A table is created (position is configurable) to display key metrics:
14-day ATR percentage
Relative volume information (as a multiple and whether it exceeds the previous day)
Price difference (absolute and percentage change)
Style:
The table cells include conditional background and text colors to highlight different market conditions.
6. Pivot Points & Labels
Pivot Calculation:
The script calculates pivot highs and lows using user-defined left/right bar lengths.
Label Drawing:
When a pivot point is detected, a label is drawn on the chart to display its value. The style and colors for these labels are also configurable by the user.
Summary
This indicator script is quite comprehensive. It not only provides multiple moving averages and an EMA cloud to help visualize trend conditions but also includes features to assess market volatility, volume dynamics, and pivot levels—all of which are displayed neatly on the chart through plots and a customizable table. The commented-out gap detection code suggests that further features could be integrated if gap analysis is required.
If you have any specific questions or need further modifications, feel free to ask!
2 days ago
Release Notes
1. Moving Averages (MA) Section
User Inputs:
The script lets you enable/disable and configure eight different moving averages. For each MA, you can choose:
The type: Simple Moving Average (SMA) or Exponential Moving Average (EMA)
The period (length)
The color used for plotting
Calculation:
A custom function (maFunc) calculates the MA value based on the selected type and length. Each moving average (from MA 1 to MA 8) is computed accordingly and then plotted on the chart.
2. EMA Cloud
Inputs:
There are inputs for a "Fast EMA" (default 8) and a "Slow EMA" (default 21).
Calculation & Plotting:
The script calculates the 8-period and 21-period EMAs. Although these EMAs are not directly plotted (they’re set with display.none), they are used to determine the market condition:
If the fast EMA is above the slow EMA, the area between them is filled with a greenish color.
If the fast EMA is below the slow EMA, the fill color turns reddish.
3. Buyer/Seller Pressure & ATR Calculations
Price Difference:
The script computes the difference between the close and open prices (as well as the percentage difference), which can be used as a measure of buyer vs. seller pressure.
ATR (Average True Range):
A 14-period ATR is calculated and then expressed as a percentage of the current close price. This gives a sense of volatility relative to the price level.
4. Volume Metrics & Relative Volume
Daily Volume & Averages:
The script retrieves daily volume data and computes a moving average for volume over a configurable length (default 20).
Relative Volume:
It calculates:
The average volume for the current period.
A relative volume multiplier comparing current volume to its moving average.
An estimated full-day volume based on the elapsed trading time, and checks if it will exceed the previous day’s volume.
The values are then formatted (e.g., converting to millions) for easier reading.
Conditional Formatting:
A background color is set based on whether the estimated relative volume is above or below a threshold.
5. Table Display
Purpose:
A table is created (position is configurable) to display key metrics:
14-day ATR percentage
Relative volume information (as a multiple and whether it exceeds the previous day)
Price difference (absolute and percentage change)
Style:
The table cells include conditional background and text colors to highlight different market conditions.
6. Pivot Points & Labels
Pivot Calculation:
The script calculates pivot highs and lows using user-defined left/right bar lengths.
Label Drawing:
When a pivot point is detected, a label is drawn on the chart to display its value. The style and colors for these labels are also configurable by the user.
Summary
This indicator script is quite comprehensive. It not only provides multiple moving averages and an EMA cloud to help visualize trend conditions but also includes features to assess market volatility, volume dynamics, and pivot levels—all of which are displayed neatly on the chart through plots and a customizable table. The commented-out gap detection code suggests that further features could be integrated if gap analysis is required.
If you have any specific questions or need further modifications, feel free to ask.
Average True Range (ATR)
ATR PercentageAdded a horizontal line at 2%
The rationale behind is that volatility contraction is always followed by expansion. I.e., we are getting closer to a decision point where the price will continue to follow the same direction in which it breaks through.
ATR Multiples from LOD/HODAn indicator that plots ATR (Average True Range) multiples from the current Low of Day (LOD) and High of Day (HOD). The indicator should:
Calculate the Low of Day (LOD) and High of Day (HOD) dynamically for the current trading session.
Use the ATR (Average True Range), with a customizable length, as the base measurement.
Plot multiple levels above the LOD and below the HOD, based on user-defined ATR multiples (e.g., 1x ATR, 2x ATR, 3x ATR, etc.).
Customizable Inputs:
ATR Length
ATR Multiples (Up to 5 levels)
Line color and style for each level
Display the ATR multiples on the chart as horizontal lines extending throughout the trading session.
Ortalama Gerçek Aralık % (Percentage ATR Display with MA)In addition to the average true range indicator, it also calculates percentages.(Ortalama gerçek aralık indikatörüne ilave olarak yüzdelik hesaplama'da yapıyor.)
EMA + Bollinger + ATR StrategyHow to Enter Trades
Entry Method:
Market Orders: Enter immediately when the signal arrow appears (best for breakouts).
Limit Orders: Place orders slightly inside the Bollinger Band (e.g., 2–3 pips below breakout level) if you expect a pullback.
Always Confirm:
Check that the 3 EMAs align with the trend direction.
Ensure the ATR stop loss (red line) is in a logical place (not too tight).
Visual Guide:
Blue EMA (5): Fast trend filter
Orange EMA (20): Slow trend filter
Gray EMA (200): Long-term trend bias
Purple Bands: Volatility boundaries
Signal Arrows: Exact entry points
Entry Rules:
Only trade when ALL conditions align:
EMA 5 > 20 AND price > 200 EMA (for buys)
EMA 5 < 20 AND price < 200 EMA (for sells)
Price breaks Bollinger Band after squeeze (bands close together)
Exit Rules:
Close position when price hits green TP line
Close immediately if price hits red SL line
FVG | iSolani
Unveiling Market Inefficiencies with Precision
In fast-moving markets, spotting hidden opportunities often hinges on identifying imbalances between price and value. The FVG | iSolani indicator revolutionises this process by detecting Fair Value Gaps (FVGs) —zones where price action skips over "fair" valuation levels, creating potential retracement targets. Combining advanced filtering, dynamic visualisation, and automated management, this tool empowers traders to pinpoint high-probability setups with unprecedented clarity.
Core Methodology
The indicator employs a multi-layered approach to identify FVGs:
Three-Bar Gap Analysis: Bullish FVGs form when the current low exceeds the high of two bars prior, while bearish FVGs occur when the current high stays below the low of two bars back.
Volatility-Adjusted Filtering: Gaps are measured against a 100-bar standard deviation to exclude insignificant price jumps.
Volume Confirmation: Only gaps accompanied by above-average volume (relative to a 1-bar SMA) are validated, filtering out low-conviction moves.
Auto-Invalidation System: Continuously monitors price action to remove FVG zones once price closes within their range, maintaining chart cleanliness.
Breaking New Ground
This tool introduces three paradigm-shifting innovations:
Volume-Weighted Significance: Unlike traditional FVG detectors, it ties gap validity to volume spikes, emphasising institutional activity.
Adaptive Zone Management: Boxes automatically extend rightward (when enabled) and self-destruct when invalidated, eliminating manual cleanup.
Smart Color Encoding: Offers both monochrome (for multi-timeframe analysis) and standard bull/bear color schemes, with customisable transparency.
Engine Under the Hood
The script operates through four key processes:
Gap Detection: Scans every new bar for three-candle patterns meeting FVG criteria.
Statistical Filtering: Applies user-defined threshold (default: 1σ) to separate meaningful gaps from market noise.
Box Rendering: Draws semi-transparent zones between gap boundaries using TradingView's box objects, styled according to user preferences.
Array-Based Memory: Stores all active FVGs in arrays, enabling real-time validation checks against current price action.
Standard Configuration
Optimised default settings balance visibility and functionality:
Filter: 1.0 (1 standard deviation threshold)
Colors: "Mono" mode (gray boxes) with 90% transparency
Text Labels: Enabled in medium gray
Extension: Gaps extend indefinitely rightward
Borders: Dotted lines with visible outlines
Through its fusion of quantitative rigor and visual adaptability, the FVG | iSolani transforms raw price data into actionable intelligence. By focusing on volume-confirmed gaps and automating zone management, it cuts through market chaos to reveal structurally significant levels—a must-have for traders navigating breakouts, reversals, or order-flow analysis.
SuperTrend + Relative Volume (Kernel Optimized)Introducing our new KDE Optimized Supertrend + Relative Volume Indicator!
This innovative indicator combines the power of the Supertrend indicator along with Relative Volume. It utilizes the Kernel Density Estimation (KDE) to estimate the probability of a candlestick marking a significant trend break or reversal.
❓How to Interpret the KDE %:
The KDE % is a crucial metric that reflects the likelihood that the current candlestick represents a true break in the SuperTrend line, supported by an increase in relative volume. It estimates the probability of a trend shift or continuation based on historical SuperTrend breaks and volume patterns:
Low KDE %: A lower probability that the current break is significant. Price action is less likely to reverse, and the trend may continue.
Moderate KDE - High KDE %: An increased possibility that a trend reversal or consolidation could occur. Traders should start watching for confirmation signals.
📌How Does It Work?
The SuperTrend indicator uses the Average True Range (ATR) to determine the direction of the trend and identifies when the price crosses the SuperTrend line, signaling a potential trend reversal. Here's how the KDE Optimized SuperTrend Indicator works:
SuperTrend Calculation: The SuperTrend indicator is calculated, and when the price breaks above (bullish) or below (bearish) the SuperTrend line, it is logged as a significant event.
Relative Volume: For each break in the SuperTrend line, we calculate the relative volume (current volume vs. the average volume over a defined period). High relative volume can suggest stronger confirmation of the trend break.
KDE Array Calculation: KDE is applied to the break points and relative volume data:
Define the KDE options: Bandwidth, Number of Steps, and Array Range (Array Max - Array Min).
Create a density range array using the defined number of steps, corresponding to potential break points.
Apply a Gaussian kernel function to the break points and volume data to estimate the likelihood of the trend break being significant.
KDE Value and Signal Generation: The KDE array is updated as each break occurs. The KDE % is calculated for the breakout candlestick, representing the likelihood of the trend break being significant. If the KDE value exceeds the defined activation threshold, a darker bullish or bearish arrow is plotted after bar confirmation. If the KDE value falls below the threshold, a more transparent arrow is drawn, indicating a possible but lower probability break.
⚙️Settings:
SuperTrend Settings:
ATR Length: The period over which the Average True Range (ATR) is calculated.
Multiplier: The multiplier applied to the ATR to determine the SuperTrend threshold.
KDE Settings:
Bandwidth: Determines the smoothness of the KDE function and the width of the influence of each break point.
Number of Bins (Steps): Defines the precision of the KDE algorithm, with higher values offering more detailed calculations.
KDE Threshold %: The level at which relative volume is considered significant for confirming a break.
Relative Volume Length: The number of historic candles used in calculating KDE %
3 Red / 3 Green Strategy with Volatility CheckStrategy Name: 3 Red / 3 Green Strategy with Volatility Check by AlgoTradeKit
Overview
This long-only strategy is designed for daily bars on NASDAQ (or similar instruments) and combines simple price action with a volatility filter. It “tells it like it is” – enter when the market shows weakness, but only in sufficiently volatile conditions, and exit either on signs of a reversal or after a set number of days.
Entry Conditions
- Price Action :
Enter a long position when there are 3 consecutive red days (each day's close is below its open).
- Volatility Filter :
The entry is allowed only if the current ATR (Average True Range) calculated over the specified ATR Period (default 12) is greater than its 30-day simple moving average. This ensures the market has enough volatility to justify the trade.
Exit Conditions
- Reversal Signal :
Exit the long position when 3 consecutive green days occur (each day's close is above its open), signaling a potential reversal.
- Time Limit :
Regardless of market conditions, any open trade is closed if it reaches the Maximum Trade Duration (default 22 days). This helps limit exposure during stagnant or unfavorable market conditions.
- You can toggle the three-green-day exit if you want to isolate the time-based exit.
Input Parameters
- Maximum Trade Duration (days): Default is 22 days.
- ATR Period: Default is 12.
- Use 3 Green Days Exit: Toggle to enable or disable the three-green-day exit condition.
How It Works
1. Entry: The strategy monitors daily price action for 3 consecutive down days. When this occurs and if the market is volatile enough (current ATR > 30-day ATR average), it opens a long position.
2. Exit: The position is closed if the price action reverses with 3 consecutive up days or if the trade has been open for the maximum allowed duration - i.e. use it on daily chart.
Risk Management
- The built-in maximum trade duration prevents trades from lingering too long in a non-trending or consolidating market.
- The volatility filter helps ensure that trades are only taken when there is sufficient price movement, potentially increasing the odds of a meaningful move.
Disclaimer
This strategy is provided “as is” without any warranties. It is essential to backtest and validate the performance on your specific instrument and market conditions before deploying live capital. Trading involves significant risk, and you should adjust parameters to match your risk tolerance.
Test and tweak this strategy to see if it fits your trading style and market conditions. Happy trading!
3x Supertrend + EMA200 Signal Buy/Sell [nsen]The indicator uses signals from three Supertrend lines to determine whether to trade Buy or Sell, with the assistance of a moving average for bias.
Buy/Sell signals are generated when the conditions are met:
A Buy signal is triggered when all three Supertrend lines indicate a bullish trend and are above the EMA.
A Sell signal is triggered when all three Supertrend lines indicate a bearish trend and are below the EMA.
Indicator ใช้สัญญาณจาก Supertrend ทั้งหมด 3 เส้น โดยใช้ในการกำหนดว่าจะเลือกเทรด Buy หรือ Sell โดยการใช้ moveing average เข้ามาช่วยในการ bias
แสดงสัญญาณ Buy/Sell เมื่อเข้าเงื่อนไข
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bullish และอยู่เหนือเส้น EMA จะเปิดสัญญาณ Buy
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bearish และอยู่ใต้เส้น EMA จะเปิดสัญญาณ Sell
25-75 Percentile SuperTrend | Mattes25-75 Percentile SuperTrend | Mattes
Overview
The 25-75 Percentile SuperTrend is an advanced trend-following indicator that enhances the traditional SuperTrend concept by incorporating percentile-based smoothing. Instead of using a simple moving average or median price, this indicator calculates the 25th and 75th percentiles over a user-defined period. These percentiles act as dynamic trend levels, adjusting more responsively to price volatility while reducing noise.
How It’s Calculated
Percentile Smoothing:
The 25th percentile of the selected source (low-end smoothing).
The 75th percentile of the selected source (high-end smoothing).
SuperTrend Logic:
The upper band is set at the 75th percentile + ATR multiplier.
The lower band is set at the 25th percentile - ATR multiplier.
The trend flips when the price crosses above/below these dynamic bands.
Signal Generation :
A bullish trend occurs when price remains above the lower band.
A bearish trend occurs when price remains below the upper band.
Trend shifts are highlighted with colored bars and lines for easy visualization.
How It Differs From Traditional SuperTrend
Uses Percentiles Instead of a Moving Average:
Traditional SuperTrend relies on ATR-based offsets from a moving average.
This version replaces the moving average with percentile smoothing, which adapts better to price behavior.
Better Noise Filtering:
Since percentiles are less sensitive to outliers, this indicator reduces false signals in choppy markets.
More Adaptive to Market Conditions:
The percentile smoothing dynamically adjusts trend detection based on price distribution rather than fixed calculations.
Why It’s Useful
✅ Reduces Whipsaws: Helps minimize false breakouts by using percentile-based bands instead of traditional ATR-only bands.
✅ Works in Different Market Conditions: Effective in both trending and ranging environments due to its adaptive nature.
✅ Enhances Trend Confidence: Provides clearer signals by filtering noise more effectively than standard SuperTrend indicators.
Application Examples
Trend Following: Use it to identify strong upward or downward trends.
Stop-Loss Placement: The upper and lower bands can serve as dynamic stop-loss levels.
Breakout Confirmation: Trend flips can confirm breakout signals from other indicators.
Mean Reversion Strategy Filtering: The 25-75 range helps identify strong versus weak reversals.
Risks & Disclaimers
Not a Standalone Strategy: This indicator should be used with other confirmation tools like volume analysis, momentum oscillators, or support/resistance levels.
False Signals in Sideways Markets: Although it reduces noise, choppy markets can still generate occasional false trend flips.
Market Adaptation Required: The best parameters may vary depending on the asset and timeframe.
This indicator was heavily inspired and influenced by the IRS/viResearch Median SuperTrend, improving upon its concept by transforming its median based calculation into a more responsive & effective counterpart of its former self.
Shoutout to all my Masterclass Brothers and L4 Gs !
Volatility-Volume Index (VVI)Volatility-Volume Index (VVI) – Indicator Description
The Volatility-Volume Index (VVI) is a custom trading indicator designed to identify market consolidation and anticipate breakouts by combining volatility (ATR) and trading volume into a single metric.
How It Works
Measures Volatility : Uses a 14-period Average True Range (ATR) to gauge price movement intensity.
Tracks Volume : Monitors trading activity to identify accumulation or distribution phases.
Normalization : ATR and volume are normalized using their respective 20-period Simple Moving Averages (SMA) for a balanced comparison.
Interpretation
VVI < 1: Low volatility and volume → Consolidation phase (range-bound market).
VVI > 1: Increased volatility and/or volume → Potential breakout or trend continuation.
How to Use VVI
Detect Consolidation:
Look for extended periods where VVI remains below 1.
Confirm with sideways price movement in a narrow range.
Anticipate Breakouts:
A spike above 1 signals a possible trend shift or breakout.
Why Use VVI?
Unlike traditional volatility indicators (ATR, Bollinger Bands) or volume-based tools (VWAP), VVI combines both elements to provide a clearer picture of consolidation zones and breakout potential.
Custom SL/TP ZonesThe "Please Don't Stop Me Now" Indicator 📊
Ever found yourself staring at a chart, thinking "This is DEFINITELY the bottom!" only to watch your stop loss get hit faster than your ex replacing you? Well, this indicator won't stop that from happening, but at least you'll know exactly where you're going to be wrong! 🎯
How it works:
See a setup you like? Pick your candle of choice (make sure it's closed - we're not fortune tellers here)
Hit either Bull or Bear (choose wisely, or don't - we all know it's 50/50 anyway)
3. Marvel at the beautiful boxes showing your:
Take Profit Zone (where you'll exit too early)
Stop Loss Zone (where you'll probably exit, let's be honest)
Features:
Uses ATR for dynamic zones because "one size fits all" only works in disappointing Halloween costumes
Extends 10 bars into the future, giving you plenty of time to watch your prediction go wrong
Price labels included so you know exactly where to set your alerts (and subsequently ignore them)
Customizable multipliers for when you're feeling extra brave (or foolish)
Clean interface that won't distract you from your bad decisions
Remember: The market can stay irrational longer than you can stay solvent, but at least with this indicator, you'll know exactly where your rationality ends and your "This time it's different" begins!
Happy Trading! (Results may vary, tears not included)
Settings:
TP Multiplier: How far to your dreams (Default: 4.0)
SL Multiplier: How far to your nightmares (Default: 2.0)
Bar Offset: Pick your poison (1 = last closed bar)
Colors: Because trading isn't painful enough in grayscale
Smart MA Crossover BacktesterSmart MA Crossover Backtester - Strategy Overview
Strategy Name: Smart MA Crossover Backtester
Published on: TradingView
Applicable Markets: Works well on crypto (tested profitably on ETH)
Strategy Concept
The Smart MA Crossover Backtester is an improved Moving Average (MA) crossover strategy that incorporates a trend filter and an ATR-based stop loss & take profit mechanism for better risk management. It aims to capture trends efficiently while reducing false signals by only trading in the direction of the long-term trend.
Core Components & Logic
Moving Averages (MA) for Entry Signals
Fast Moving Average (9-period SMA)
Slow Moving Average (21-period SMA)
A trade signal is generated when the fast MA crosses the slow MA.
Trend Filter (200-period SMA)
Only enters long positions if price is above the 200-period SMA (bullish trend).
Only enters short positions if price is below the 200-period SMA (bearish trend).
This helps in avoiding counter-trend trades, reducing whipsaws.
ATR-Based Stop Loss & Take Profit
Uses the Average True Range (ATR) with a multiplier of 2 to calculate stop loss.
Risk-Reward Ratio = 1:2 (Take profit is set at 2x ATR).
This ensures dynamic stop loss and take profit levels based on market volatility.
Trading Rules
✅ Long Entry (Buy Signal):
Fast MA (9) crosses above Slow MA (21)
Price is above the 200 MA (bullish trend filter active)
Stop Loss: Below entry price by 2× ATR
Take Profit: Above entry price by 4× ATR
✅ Short Entry (Sell Signal):
Fast MA (9) crosses below Slow MA (21)
Price is below the 200 MA (bearish trend filter active)
Stop Loss: Above entry price by 2× ATR
Take Profit: Below entry price by 4× ATR
Why This Strategy Works Well for Crypto (ETH)?
🔹 Crypto markets are highly volatile – ATR-based stop loss adapts dynamically to market conditions.
🔹 Long-term trend filter (200 MA) ensures trading in the dominant direction, reducing false signals.
🔹 Risk-reward ratio of 1:2 allows for profitable trades even with a lower win rate.
This strategy has been tested on Ethereum (ETH) and has shown profitable performance, making it a strong choice for crypto traders looking for trend-following setups with solid risk management. 🚀
True Range & ATRDescription : This indicator plots both the True Range (TR) and the Average True Range (ATR) in a separate pane below the main chart.
- TR represents the absolute price movement range within each candle.
- ATR is a smoothed version of TR over a user-defined period (default: 14), providing insight into market volatility.
- TR is displayed as a histogram for a clearer view of individual candle ranges.
- ATR is plotted as a line to show the smoothed trend of volatility.
This indicator helps traders assess market volatility and potential price movements.
ATR Trailing Stop by GideonMATR Trailing Stop Indicator
This ATR Trailing Stop Indicator is designed for traders who wish to enhance their exit strategies by leveraging volatility-based stops. It offers a systematic approach to trend management and risk control, enabling traders to capture extended trends while protecting their capital during market reversals. Works on Indian Indices as well.
Overview:
The ATR Trailing Stop indicator is a dynamic trend-following tool that adjusts stop levels based on market volatility. By incorporating the Average True Range (ATR), the indicator provides a flexible exit strategy that adapts to changing market conditions, helping traders lock in profits during trends and limit losses during reversals.
How It Works:
True Range and ATR Calculation:
The indicator first calculates the True Range (TR) for each bar, defined as the maximum of:
The difference between the high and low,
The absolute difference between the high and the previous close, and
The absolute difference between the low and the previous close.
Using the TR values, the ATR is computed over a user-defined period (default is 14 bars) with an option to use either a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) as the smoothing method.
Trailing Stop Determination:
Two potential stop levels are calculated:
For an uptrend, the stop is determined as:
Stop = Close – (Multiplier × ATR)
For a downtrend, the stop is:
Stop = Close + (Multiplier × ATR)
The indicator maintains a persistent trailing stop that dynamically adjusts:
In an uptrend, the trailing stop only moves upward (or remains flat) to secure gains.
In a downtrend, it only moves downward, thereby protecting the position from excessive losses.
A reversal in trend is identified when the price crosses the trailing stop level, at which point the indicator flips the trend and resets the stop level accordingly.
Rationale:
Utilizing the ATR for trailing stops ensures that the stop levels are directly influenced by market volatility. This dynamic adjustment helps accommodate the natural price fluctuations of the market, providing a more adaptive risk management tool compared to fixed stop-loss levels. The approach is particularly useful in volatile markets where traditional static stops might be triggered prematurely.
Customization:
Key parameters that can be adjusted include:
ATR Period: The number of bars used to calculate the ATR.
ATR Multiplier: The factor that determines how far the trailing stop is set from the current price.
Smoothing Method: Option to choose between SMA and EMA for ATR calculation, allowing traders to tailor the sensitivity of the indicator to their specific trading style.
Custom Length ATRThis Custom Length ATR Indicator allows traders to calculate the Average True Range (ATR) dynamically based on a selected timeframe and number of days. Unlike traditional ATR indicators that are tied to the chart’s timeframe, this script lets users choose a specific timeframe scale (e.g., Daily, Hourly, etc.), ensuring consistent volatility measurement across different trading views.
AI Volume Breakout for scalpingPurpose of the Indicator
This script is designed for trading, specifically for scalping, which involves making numerous trades within a very short time frame to take advantage of small price movements. The indicator looks for volume breakouts, which are moments when trading volume significantly increases, potentially signaling the start of a new price movement.
Key Components:
Parameters:
Volume Threshold (volumeThreshold): Determines how much volume must increase from one bar to the next for it to be considered significant. Set at 4.0, meaning volume must quadruplicate for a breakout signal.
Price Change Threshold (priceChangeThreshold): Defines the minimum price change required for a breakout signal. Here, it's 1.5% of the bar's opening price.
SMA Length (smaLength): The period for the Simple Moving Average, which helps confirm the trend direction. Here, it's set to 20.
Cooldown Period (cooldownPeriod): Prevents signals from being too close together, set to 10 bars.
ATR Period (atrPeriod): The period for calculating Average True Range (ATR), used to measure market volatility.
Volatility Threshold (volatilityThreshold): If ATR divided by the close price exceeds this, the market is considered too volatile for trading according to this strategy.
Calculations:
SMA (Simple Moving Average): Used for trend confirmation. A bullish signal is more likely if the price is above this average.
ATR (Average True Range): Measures market volatility. Lower volatility (below the threshold) is preferred for this strategy.
Signal Generation:
The indicator checks if:
Volume has increased significantly (volumeDelta > 0 and volume / volume >= volumeThreshold).
There's enough price change (math.abs(priceDelta / open) >= priceChangeThreshold).
The market isn't too volatile (lowVolatility).
The trend supports the direction of the price change (trendUp for bullish, trendDown for bearish).
If all these conditions are met, it predicts:
1 (Bullish) if conditions suggest buying.
0 (Bearish) if conditions suggest selling.
Cooldown Mechanism:
After a signal, the script waits for a number of bars (cooldownPeriod) before considering another signal to avoid over-trading.
Visual Feedback:
Labels are placed on the chart:
Green label for bullish breakouts below the low price.
Red label for bearish breakouts above the high price.
How to Use:
Entry Points: Look for the labels on your chart to decide when to enter trades.
Risk Management: Since this is for scalping, ensure each trade has tight stop-losses to manage risk due to the quick, small movements.
Market Conditions: This strategy might work best in markets with consistent volume and price changes but not extreme volatility.
Caveats:
This isn't real AI; it's a heuristic based on volume and price. Actual AI would involve machine learning algorithms trained on historical data.
Always backtest any strategy, and consider how it behaves in different market conditions, not just the ones it was designed for.
ATR stop lossPlots the stop loss level based on average true range (ATR) and a multiplier of choice (1 to 2.5, default is 1.5), subtracted from closing price.
Additions in this version:
You can now show percentage labels to help evaluate the level of risk.
The color of the plotted line and the text labels can be picked by the user.
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise.
By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization.
Inspiration taken from Top G indicator .
What This Indicator Does
The Volatility-Driven Trend Identifier works by:
Measuring Market Extremes & Momentum:
Uses ROC normalization with standard deviation to identify impulse moves in price action.
Implements RSI filtering to determine overbought/oversold conditions that validate trend strength.
Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring.
Identifying Key Trend Events:
Power Peak (🔥): Marks a confirmed strong downtrend, ideal for shorting opportunities.
Surge (🚀): Indicates a confirmed strong uptrend, signaling a potential long entry.
Soft Surge (↗): Highlights a mild bullish reentry or early uptrend formation.
Soft Peak (↘): Shows a mild bearish reentry or early downtrend formation.
Providing Adaptive Filtering for Reliable Signals:
Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions.
Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts.
Uses gradient-based visualization to color-code market sentiment for quick interpretation.
What This Indicator Signals
Breakouts & Impulse Moves: 🚀🔥
The Surge (🚀) and Power Peak (🔥) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering.
These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly.
Early Trend Formation & Reentries: ↗ ↘
The Soft Surge (↗) and Soft Peak (↘) labels indicate areas where a trend might be forming, but is not yet fully confirmed.
These signals help traders anticipate potential entries before the trend gains full strength.
Volatility-Adaptive Trend Filtering: 📊
Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur.
ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions.
How to Use This Indicator
1. Identifying High-Probability Entries
Bullish Entries (Long Trades)
Look for 🚀 Surge signals in an uptrend.
Confirm with RSI (should be above 50 for momentum).
Ensure volatility is increasing to validate the breakout.
Use ↗ Soft Surge signals for early entries before the trend fully confirms.
Bearish Entries (Short Trades)
Look for 🔥 Power Peak signals in a downtrend.
RSI should be below 50, indicating downward momentum.
Volatility should be rising, ensuring market momentum is strong.
Use ↘ Soft Peak signals for early entries before a full bearish confirmation.
2. Avoiding False Signals
Ignore signals when the market is ranging (low ATR).
Check RSI and ROC alignment to ensure trend confirmation.
Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy.
3. Trend Confirmation & Filtering
The stronger the trend, the higher the likelihood that Surge (🚀) and Power Peak (🔥) signals will continue in their direction.
Soft Surge (↗) and Soft Peak (↘) act as early warning signals before major breakouts occur.
What Makes This a Machine Learning-Inspired Moving Average?
While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques:
Adaptive Trend Selection:
It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection.
ATR-based filtering adjusts the indicator’s sensitivity to real-time conditions.
Multi-Factor Confirmation (Feature Engineering Equivalent in ML):
Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data.
Implements conditional trend recognition, ensuring that only valid signals pass through the filter.
Noise Reduction with Data Smoothing:
The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions.
Adaptive filtering ensures that low-volatility environments do not produce misleading signals.
Why Use This Indicator?
✔ Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered.
✔ Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets.
✔ Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop.
✔ Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
Auto-Adjusting Kalman Filter by TenozenNew year, new indicator! Auto-Adjusting Kalman Filter is an indicator designed to provide an adaptive approach to trend analysis. Using the Kalman Filter (a recursive algorithm used in signal processing), this algo dynamically adjusts to market conditions, offering traders a reliable way to identify trends and manage risk! In other words, it's a remaster of my previous indicator, Kalman Filter by Tenozen.
What's the difference with the previous indicator (Kalman Filter by Tenozen)?
The indicator adjusts its parameters (Q and R) in real-time using the Average True Range (ATR) as a measure of market volatility. This ensures the filter remains responsive during high-volatility periods and smooth during low-volatility conditions, optimizing its performance across different market environments.
The filter resets on a user-defined timeframe, aligning its calculations with dominant trends and reducing sensitivity to short-term noise. This helps maintain consistency with the broader market structure.
A confidence metric, derived from the deviation of price from the Kalman filter line (measured in ATR multiples), is visualized as a heatmap:
Green : Bullish confidence (higher values indicate stronger trends).
Red : Bearish confidence (higher values indicate stronger trends).
Gray : Neutral zone (low confidence, suggesting caution).
This provides a clear, objective measure of trend strength.
How it works?
The Kalman Filter estimates the "true" price by filtering out market noise. It operates in two steps, that is, prediction and update. Prediction is about projection the current state (price) forward. Update is about adjusting the prediction based on the latest price data. The filter's parameters (Q and R) are scaled using normalized ATR, ensuring adaptibility to changing market conditions. So it means that, Q (Process Noise) increases during high volatility, making the filter more responsive to price changes and R (Measurement Noise) increases during low volatility, smoothing out the filter to avoid overreacting to minor fluctuations. Also, the trend confidence is calculated based on the deviation of price from the Kalman filter line, measured in ATR multiples, this provides a quantifiable measure of trend strength, helping traders assess market conditions objectively.
How to use?
Use the Kalman Filter line to identify the prevailing trend direction. Trade in alignment with the filter's slope for higher-probability setups.
Look for pullbacks toward the Kalman Filter line during strong trends (high confidence zones)
Utilize the dynamic stop-loss and take-profit levels to manage risk and lock in profits
Confidence Heatmap provides an objective measure of market sentiment, helping traders avoid low-confidence (neutral) zones and focus on high-probability opportunities
Guess that's it! I hope this indicator helps! Let me know if you guys got some feedback! Ciao!
ATR BeamsATR Beams is a simple indicator that utilizes the ATR to determine levels above and below price action that can serve as stop loss or trailing visual aids across all instruments.
This indicator is preset to an ATR value of 14 and a multiplier of 1 for the ATR.
Both of these parameters can be modified to your specific trading preference, the color and indicator line style can both also be modified to your visual preference.
I hope this provides you with a good visual aid
IU Range Trading StrategyIU Range Trading Strategy
The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management.
User Inputs:
- Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10).
- ATR Length: Sets the length of the ATR calculation (default: 14).
- ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00).
Entry Conditions:
1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR.
2. Once a valid range is formed:
- A long trade is triggered at the range high.
- A short trade is triggered at the range low.
Exit Conditions:
1. Trailing Stop-Loss:
- The stop-loss adjusts dynamically using ATR targets.
- The strategy locks in profits as the trade moves in your favor.
2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making.
Features:
- Automated box creation to visualize the trading range.
- Supports one position at a time, canceling opposite-side entries.
- ATR-based trailing stop-loss for effective risk management.
- Clear visual representation of stop-loss and take-profit levels with colored bands.
This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
hector mena Breakout Trading with ATR, RSI and MA CrossTitle: Breakout Trading Strategy with ATR, RSI, and Moving Average Cross
Description (English):
This script combines key technical indicators—ATR (Average True Range), RSI (Relative Strength Index), and Moving Averages—to provide a comprehensive breakout trading strategy. It is designed to help traders identify significant breakout levels and confirm signals with momentum and trend analysis.
How It Works:
ATR for Breakout Levels:
The ATR is used to calculate dynamic breakout levels by adjusting the highest resistance and lowest support levels with a customizable multiplier. This ensures that breakout levels adapt to market volatility.
RSI for Momentum Confirmation:
The RSI identifies overbought and oversold conditions, providing an additional layer of confirmation for breakouts. A breakout accompanied by an RSI signal can indicate stronger momentum.
Moving Average Cross for Trend Validation:
Two simple moving averages (short-term and long-term) are included to validate the trend. A crossover suggests a potential change in trend, aligning with breakout signals.
Why Combine These Indicators?
The ATR ensures breakout levels are realistic and volatility-adjusted.
The RSI avoids false signals by confirming if the price has momentum during a breakout.
Moving Average crossovers add trend-following confirmation, helping traders align with market direction.
The combination provides a robust framework to filter out false signals and improve the reliability of trading decisions.
Key Features:
Breakout Levels: Upper and lower breakout levels dynamically calculated using ATR.
RSI Confirmation: Visual overbought (70) and oversold (30) levels and RSI plot.
Trend Validation: Short and long-term moving averages plotted on the chart with crossover signals.
Visual Alerts: Clear "BUY" and "SELL" labels for actionable signals.
Custom Alerts: Configurable alerts for breakouts and moving average crossovers.
How to Use It:
Adjust the parameters (ATR length, multiplier, RSI length, and moving averages) based on your trading strategy.
Look for "BUY" signals when:
Price breaks above the resistance level, and RSI indicates oversold conditions.
Moving averages cross bullishly.
Look for "SELL" signals when:
Price breaks below the support level, and RSI indicates overbought conditions.
Moving averages cross bearishly.
Use alerts for automated notifications about potential trades.
Notes:
This script is intended for educational purposes. Use it alongside proper risk management techniques and backtesting.
Always test in demo mode before applying it to live trading.
