Custom MA + BB + RSI + Stoch RSII'm trying to get the 20, 50 and 200 MA as well as bollinger bands in here. Additionally, I'm trying to get the RSI and Stoichastic RSI in here.
Bands and Channels
Liquidity Channel DEX/Uniswap/Crypto by @RichSimonThe indicator automatically detects channels for placing liquidity on decentralized exchanges (DEX).
Based on a linear regression algorithm (similar to the "Regression Trend" tool).
Adjustable parameters: channel width (in standard deviations) and analysis depth (historical period in bars).
Main parameters:
Channel boundaries: Upper (top), Center (central), Lower (bottom). Same for parent channel
ATR (Average True Range) — the average true range, scaled by 100 times over a period equal to the analysis depth.
Range (channel width).
Standard deviation (100xSTD LinReg), scaled by 100 times.
Channel speed — the rate of channel change (slope) per hour. Determines the channel's slope (positive - upward, negative - downward, higher value - steeper slope).
It is possible to create alerts with parameter transmission via placeholders, for example: {{plot_0}}.
Check the placeholder number in the data window.
Acknowledgments, donations, and improvement suggestions can be left in the comments.
Bollinger Bands + RSI [Uncle Sam Trading]The Bollinger Bands + RSI indicator combines two popular technical analysis tools, Bollinger Bands (BB) and the Relative Strength Index (RSI), into a unified framework designed to assess both market volatility and momentum. This indicator provides both visual signals on the chart, and allows you to set alerts. It is intended to help traders identify potential overbought/oversold conditions, trend reversals, and to refine trade entry and exit points.
Key Features:
Bollinger Bands: The indicator plots Bollinger Bands, which consist of a basis line (typically a 20-period Simple Moving Average), an upper band (basis + 2 standard deviations), and a lower band (basis - 2 standard deviations). The bands dynamically adjust to market volatility, widening during periods of increased volatility and contracting during periods of decreased volatility.
Relative Strength Index (RSI): The RSI, a momentum oscillator, is plotted in a separate pane below the price chart. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. Traditional interpretation uses 70 and 30 as overbought and oversold levels, respectively.
Overbought/Oversold Zones Highlighting: This indicator uniquely highlights overbought and oversold zones directly on the price chart based on the RSI values. When the RSI is above the overbought level (default 70), a red-shaded area is displayed. When the RSI is below the oversold level (default 30), a green-shaded area is displayed. These visual cues enhance the identification of potential trend reversals.
Buy and Sell Signals: The indicator generates buy signals when the price crosses above the lower Bollinger Band and the RSI is below the oversold level (if the RSI filter is enabled). Sell signals are generated when the price crosses below the upper Bollinger Band and the RSI is above the overbought level (if the RSI filter is enabled). These signals are plotted as green upward-pointing triangles (buy) and red downward-pointing triangles (sell) on the chart.
Customizable Parameters: Users can adjust various settings, including:
Bollinger Bands Length: The number of periods used to calculate the moving average and standard deviation.
Bollinger Bands Standard Deviation: The multiplier used to determine the distance of the upper and lower bands from the basis.
RSI Length: The number of periods used to calculate the RSI.
RSI Overbought/Oversold Levels: The threshold values that define overbought and oversold conditions for the RSI.
Use RSI Filter for Signals: Enable/disable the RSI filter for buy and sell signals.
Colors: The colors of the Bollinger Bands, RSI, overbought/oversold levels, and zone highlights can be customized to suit user preferences.
Alerts: The indicator supports customizable alerts for various conditions, including:
Buy Signal: Triggered when a buy signal is generated.
Sell Signal: Triggered when a sell signal is generated.
Price Crossed Upper BB: Triggered when the price crosses above the upper Bollinger Band.
Price Crossed Lower BB: Triggered when the price crosses below the lower Bollinger Band.
RSI Overbought: Triggered when the RSI crosses above the overbought level.
RSI Oversold: Triggered when the RSI crosses below the oversold level.
How to Use:
The Bollinger Bands + RSI indicator can be used in various ways, including:
Identifying Potential Trend Reversals: Price crosses above the lower band coupled with an oversold RSI (and highlighted zone) may signal a bullish reversal. Conversely, a price cross below the upper band with an overbought RSI (and highlighted zone) may indicate a bearish reversal.
Confirming Trend Strength: In an uptrend, the price may "ride" the upper band, while in a downtrend, it may "ride" the lower band.
Exit Signals: Crossing the opposite band while in a trade, particularly with confirming RSI signals, is often used to identify potential exit points.
Combined with Other Analysis: This indicator works well in conjunction with other technical analysis tools, such as trend lines, support/resistance levels, chart patterns, and moving average-based strategies.
Disclaimer:
This indicator is for educational and informational purposes only and should not be considered as financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct thorough research and consider your risk tolerance before making any trading decisions.
Grids lines"Líneas de Grid para Análisis Técnico"
Este indicador dibuja líneas de grid (rejilla) en el gráfico de precios, lo que puede ayudar a visualizar zonas de soporte, resistencia y niveles de interés en un rango de precios determinado.
Características:
Precio Mínimo y Máximo: Configura los precios entre los cuales se dibujarán las líneas de grid.
Número de Grids: Establece cuántas líneas de grid quieres ver en el gráfico.
Color y Grosor de las Líneas: Personaliza los colores y el grosor de las líneas de grid, incluyendo la primera y la última línea.
Estilo de las Líneas: Puedes elegir entre líneas discontinuas (Dotted) o sólidas (Solid), para personalizar aún más tu visualización.
Ticker Específico: Si lo deseas, puedes elegir un ticker específico para dibujar las líneas solo cuando el gráfico esté mostrando ese activo. De lo contrario, las líneas se dibujarán en el gráfico actual.
Parámetros:
Precio Mínimo: El precio más bajo para el rango del grid (por ejemplo: 0.82).
Precio Máximo: El precio más alto para el rango del grid (por ejemplo: 1.24).
Número de Grids: Define cuántas líneas quieres entre el precio mínimo y el máximo (por ejemplo: 30).
Estilo de Línea: Elige entre Dotted (líneas discontinuas) o Solid (líneas sólidas).
Ticker: Si deseas dibujar las líneas solo para un ticker específico, ingresa el símbolo del ticker (por ejemplo, ADAUSDT). Si dejas este campo vacío, las líneas se dibujarán en el gráfico actual.
Ejemplo de Uso:
Si estás analizando el par ADAUSDT, puedes escribir ADAUSDT en el campo del ticker para que las líneas solo se dibujen cuando este par esté visible. Si dejas el campo vacío, las líneas se dibujarán en cualquier ticker que tengas en el gráfico.
Descripción en Inglés:
"Grid Lines for Technical Analysis"
This indicator draws grid lines on the price chart, helping to visualize support, resistance, and key levels within a specific price range.
Features:
Min and Max Price: Set the price range for the grid lines to be drawn.
Number of Grids: Choose how many grid lines you want to display on the chart.
Line Color and Thickness: Customize the color and thickness of the grid lines, including the first and last line.
Line Style: Choose between Dotted (dashed lines) or Solid (solid lines) to further customize your view.
Specific Ticker: If desired, you can specify a ticker for the grid lines to only be drawn when that asset is shown. Otherwise, the lines will be drawn on the current chart.
Parameters:
Min Price: The lowest price for the grid range (for example, 0.82).
Max Price: The highest price for the grid range (for example, 1.24).
Number of Grids: Defines how many lines you want between the minimum and maximum price (for example, 30).
Line Style: Choose between Dotted or Solid.
Ticker: To draw the lines only for a specific ticker, enter the symbol of the ticker (for example, ADAUSDT). If left blank, the lines will be drawn on the current ticker.
Usage Example:
If you're analyzing the pair ADAUSDT, you can enter ADAUSDT in the ticker field to draw the lines only when that pair is visible. If you leave the field blank, the lines will be drawn for any ticker currently on the chart.
Nextone Daily RangeShow daily range in lower timeframes.
It shows a box for the high and low of the day and an arrow for the open and close of the day with green and red colours.
AI Bollinger Bands Strategy with SL, TP, and Bars Till CloseThis auto trader uses Bollinger Bands (with adjustable length and deviation) and an optional EMA filter to trigger trades. It enters short trades when the prior candle closes above the upper band and then reverses, and long trades when the prior candle is below the lower band and then turns bullish. Risk is managed via:
Trailing stops activated when price crosses the middle band.
Predefined stop loss and take profit levels.
An option to close trades after a set number of bars.
Additionally, you can toggle the visual display of Bollinger Bands and EMA on the chart.
Trailing Stop with 21 EMA and ATRTrailing Stop with 21 EMA and ATR
This indicator helps traders to dynamically track their trailing stops based on market volatility, ensuring better risk management and optimized exit points.
This Pine Script indicator for TradingView calculates and plots trailing stops based on the 21-period Exponential Moving Average (EMA) and the Average True Range (ATR). The script uses an ATR multiplier to adjust the trailing stops dynamically.
Key Features:
Trailing Stops Calculation:
Long Trailing Stop: Calculated as EMA21 - (ATR * ATR Multiplier)
Short Trailing Stop: Calculated as EMA21 + (ATR * ATR Multiplier)
Customization Options:
Visibility: Toggle the visibility of long and short trailing stops.
Color: Customize the color of the trailing stops for both long and short positions.
Line Width: Adjust the width of the trailing stop lines.
Inputs:
EMA Length: Set the length for the Exponential Moving Average (default is 21).
ATR Length: Set the length for the Average True Range (default is 14).
ATR Multiplier: Set the multiplier for the ATR to adjust the trailing stop distance (default is 1.0).
Support, Resistance and Median with Trend"This Pine Script indicator, 'Support, Resistance and Median with Trend', offers traders a comprehensive view of market dynamics using key technical analysis principles.
Key Features:
Dynamic Support and Resistance: The script calculates and plots support and resistance levels based on the highest highs and lowest lows over a customizable historical period.
Median Line: A median line is plotted between support and resistance, serving as a key reference for price action.
Trend Detection: The indicator determines the current trend by comparing the closing price to the median line, offering a simple yet effective trend identification method.
Visual Trend Indicator: A color-coded box in the top-right corner displays the current trend (Uptrend, Downtrend, or Neutral), providing at-a-glance trend information.
Level Projections: The script projects support, resistance, and median levels into future periods, helping traders anticipate potential price movements.
Customization: Users can adjust the historical length for calculations, allowing for fine-tuning based on individual trading styles and timeframes.
withoutfaking Advanced charts readerFeatures:
1. Multi-Timeframe Adaptive:
- Triple EMA system (21/50/200) identifies macro/micro trends
- ADX filter ensures trades only in strong momentum phases
2. Elliott Wave Integration:
- Proprietary EWO (Elliott Wave Oscillator) with signal line
- Detects wave 3 acceleration and wave 5 exhaustion
3. Smart Money Detection:
- Volume-weighted MFI filters false breakouts
- Combined with Stochastic for precision timing
4. Adaptive Alerts:
- Multi-condition confluence required for signals
- Self-adjusting to any timeframe (1m - monthly)
Usage:
- Day Trading: Use on 5-15m charts with tighter EMA settings
- Swing Trading: Apply on 1H-4H with default parameters
- Investing: Weekly/Monthly charts with 50/200 EMA cross
Signal Logic:
- Entries require 5/34 EWO cross + EMA alignment + volume confirmation
- Exits trigger at opposing MFI extreme + EMA flip
Risk Management:
- Bullish signals invalidate below 21 EMA
- Bearish signals cancel above 50 EMA
This system combines institutional flow analysis with technical patterns, designed to adapt to both mean-reverting and trending markets.
Ultra Robust Adaptive Trend FlowUltra Robust Adaptive Trend Flow
The Ultra Robust Adaptive Trend Flow indicator is designed to enhance market analysis, specifically for BTC, using a combination of advanced trend-following mechanisms and smooth adaptive techniques. It incorporates two key Exponential Moving Averages (EMAs) of different lengths to identify price direction, with dynamic color coding (green for upward trends, red for downward trends, and gray for neutral) to easily visualize market behavior.
Additionally, the indicator includes a built-in volume analysis filter to reduce "chop" or erratic price movements, ensuring more reliable trend identification. It is optimized for real-time market monitoring and adaptable to multiple timeframes for robust trading insights.
Key Features:
Trend Identification: Fast and slow EMAs to detect bullish and bearish trends.
Volume-based Anti-Chop Filter: Smooths out noise for clearer signals.
Multi-Timeframe Support: Designed for a variety of timeframes with dynamic adaptability.
Simplicity in Design: Offers both a price overlay and a hidden bottom indicator to help traders spot long-term trends without cluttering the chart.
This indicator is ideal for traders looking for adaptive trend-following strategies, with built-in trend reversal filters, ensuring a smoother and more reliable trading experience.
Tomorrow's CPR by Maddycpr A Central Pivot Range (CPR) indicator calculates and displays key support and resistance levels based on the previous trading session's high, low, and close prices. It consists of a Pivot Point (PP), a Bottom CPR (BC), and a Top CPR (TC). Traders use these levels to anticipate potential price movements, identify possible support and resistance areas, and make informed trading decisions. The CPR is often used in conjunction with other technical analysis tools.for tomorrow
Support and Resistancelookback: This input allows you to specify the number of bars to look back to calculate the support and resistance levels.
support: This is calculated as the lowest low over the specified lookback period.
resistance: This is calculated as the highest high over the specified lookback period.
plot: The support and resistance levels are plotted on the chart with different colors.
bgcolor: This optional feature highlights the support and resistance zones with a semi-transparent background color.
5-Min Gainers & Sellers with Keltner/Bollinger BreakoutsI tried to create a 5 minute scalping script that also uses the Kelner Channels but set at the Bollinger 20 internals which should show the sqeeze as well as at leave 1% gain during the 5 minute period
Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals.
🔵 Key Features:
Three Adaptive Bands:
The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers.
Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization.
Signal System:
Signals are generated when price interacts with the bands:
Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend.
Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation.
Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal.
The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust.
Color-Coded Bands:
Bands dynamically change color based on the trend direction:
Green bands signify an uptrend.
Brown bands signify a downtrend.
Dynamic Trend Line Changes:
Dashed lines highlight trend changes, helping traders visualize key turning points in the market.
🔵 Usage:
Use the bands to identify trend direction and strength.
Monitor the signal system to assess the level of price deviation and potential pullback strength.
Combine Signal 1, 2, and 3 to confirm trend momentum:
Signal 1 suggests a weaker pullback and continuation.
Signal 2 indicates a stronger trend confirmation.
Signal 3 highlights the strongest momentum and potential exhaustion points.
Utilize the color-coded bands for an intuitive understanding of current market conditions.
The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.
Machine Learning SupertrendThe Machine Learning Supertrend is an advanced trend-following indicator that enhances the traditional Supertrend with Gaussian Process Regression (GPR) and kernel-based learning. Unlike conventional methods that rely purely on historical ATR values, this indicator integrates machine learning techniques to dynamically estimate volatility and forecast future price movements, resulting in a more adaptive and robust trend detection system.
At the core of this indicator lies Gaussian Process Regression (GPR), which utilizes a Radial Basis Function (RBF) kernel to model price distributions and anticipate future trends. Instead of simply looking at past price action, it constructs a kernel matrix, enabling a probabilistic approach to price forecasting. This allows the indicator to not only detect current trends but also project potential trend reversals with greater accuracy.
By applying machine learning to ATR estimation, the ML Supertrend dynamically adjusts its thresholds based on predicted values rather than a fixed multiplier. This makes the trend signals more responsive to market conditions, reducing false signals and minimizing whipsaws often seen with traditional Supertrend indicators. The upper and lower bands are no longer static but evolve based on the underlying price structure, improving the reliability of trend shifts.
When the price crosses these adaptive levels, the indicator detects a trend change and plots it accordingly. Green signifies a bullish trend, while red indicates a bearish one. Alerts can also be triggered when the trend shifts, allowing traders to react quickly to potential reversals.
What makes this approach powerful is its ability to adapt to different market conditions. Traditional ATR-based methods use fixed parameters that might not always be optimal, whereas this ML-driven Supertrend continuously refines its estimations based on real-time data. The result is a more intelligent, less lagging, and highly adaptive trend-following tool.
This indicator is particularly useful for traders looking to enhance trend-following strategies with AI-driven insights. It reduces noise, improves signal reliability, and even offers a degree of trend forecasting, making it ideal for those who want a more advanced and dynamic alternative to standard Supertrend indicators.
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Trading involves risk, and users should conduct their own research and use proper risk management before making investment decisions.
SmoothBrain Deviation BandsSmoothBrain Deviation Bands & Status Overlay
This indicator implements Dr. Sebastian Purcell's (aka SmoothBrain) 20/40 and 30/60 rules for crypto trading relative to the 200-day SMA. The indicator includes both deviation bands and a status overlay to help traders identify potential market tops.
Key Features:
Tracks price deviation from 200-day SMA
Large coin thresholds: 20% (warning) and 40% (critical)
Small coin thresholds: 30% (warning) and 60% (critical)
Real-time status overlay with color-coded alerts
Percentage deviation display
How to Use:
Large coins: Consider avoiding entries above 20% and expect potential tops above 40%
Small coins: Consider avoiding entries above 30% and expect potential tops above 60%
Use in conjunction with other technical analysis tools for best results
Credit: Original concept by Dr. Sebastian Purcell (SmoothBrain) as part of his Bubble Trading strategy .
Specta2 Bull SupportOverview
The Specta2 Strategy is a comprehensive trading system designed to generate buy and sell signals based on a combination of technical indicators: Bollinger Bands, Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), and Average True Range (ATR). It incorporates advanced risk management techniques, including ATR-based stop loss and take profit levels, as well as a cooldown mechanism to prevent rapid re-entries after exiting a position.
Target markets
The Specta2 Strategy is best suited for bullish market instruments that exhibit strong upward trends and consistent momentum. Ideal tickers typically include:
Large-Cap Stocks: Companies with substantial market capitalization and liquidity, such as those in the S&P 500.
High-Volume ETFs: Exchange-Traded Funds that track major indices or sectors.
Forex Pairs: Major currency pairs like EUR/USD, GBP/USD, which generally exhibit strong trends.
Commodities: Trending commodities like Gold, Oil, which can experience sustained movements.
Market Behaviors
This strategy thrives under the following market conditions:
Bullish Trends: Clearly defined upward trends where prices consistently make higher highs and higher lows.
High Volatility Periods: Times when ATR indicates increased volatility, allowing ATR-based stop loss and take profit levels to adapt effectively.
Strong Momentum: Situations where indicators like MACD and RSI confirm robust upward momentum, reducing the likelihood of false signals.
Low to Moderate Sideways Movement: While not optimal, the strategy can handle some consolidation as long as overarching bullish momentum is present.
Final Note
The Specta2 Strategy is a robust system that leverages multiple technical indicators to generate trading signals while incorporating essential risk management tools. By understanding its components and carefully configuring its parameters, users can adapt the strategy to various market conditions and trading styles. Continuous monitoring, backtesting, and optimization are recommended to ensure sustained performance and alignment with individual trading goals.
WFO Cloud-Optimized MomentumThis strategy is based on the Ichimoku Cloud indicator, designed to identify potential buy and sell signals in a market (like HWM stock). Here's a breakdown of the components and logic behind it:
Ichimoku Cloud Components:
Tenkan-sen: The moving average of the highest high and lowest low. It is used as a short-term trend indicator.
Kijun-sen: The moving average of the highest high and lowest low. It is considered the medium-term trend line.
Senkou Span A: The average of Tenkan-sen and Kijun-sen, shifted forward. It forms the leading edge of the cloud (Kumo).
Senkou Span B: The moving average of the highest high and lowest low, shifted forward. It forms the trailing edge of the cloud.
Chikou Span: The closing price shifted backward. It is used to confirm the trend.
Cloud-Optimized MomentumThis strategy is based on the Ichimoku Cloud indicator, designed to identify potential buy and sell signals in a market (like HWM stock). Here's a breakdown of the components and logic behind it:
Ichimoku Cloud Components:
Tenkan-sen: The moving average of the highest high and lowest low. It is used as a short-term trend indicator.
Kijun-sen: The moving average of the highest high and lowest low. It is considered the medium-term trend line.
Senkou Span A: The average of Tenkan-sen and Kijun-sen, shifted forward. It forms the leading edge of the cloud (Kumo).
Senkou Span B: The moving average of the highest high and lowest low, shifted forward. It forms the trailing edge of the cloud.
Chikou Span: The closing price shifted backward. It is used to confirm the trend.
200 Day EMA Slow Ema with uptrend and downtrend signal!
The 200 Exponential Moving Average (EMA) is a widely-used technical indicator in trading. It helps traders identify the overall direction of the market by smoothing out price data over a longer period. The 200 EMA gives more weight to recent prices, making it more responsive to new information compared to a simple moving average.
Identifying Market Trends:
Uptrend: When the price of an asset is consistently above the 200 EMA, it suggests that the market is in an uptrend. Traders often interpret this as a sign of bullish sentiment and may look for buying opportunities.
Downtrend: Conversely, when the price is consistently below the 200 EMA, it indicates a downtrend. This is typically seen as a bearish signal, and traders might consider selling or shorting the asset.
Setting Up Notifications:
To stay informed about these key movements, you can set up notifications on your trading platform to alert you when the price crosses the 200 EMA:
Uptrend Notification: This alert triggers when the price crosses above the 200 EMA, signaling a potential uptrend.
Downtrend Notification: This alert triggers when the price crosses below the 200 EMA, signaling a potential downtrend.
By setting these notifications, you can ensure that you are promptly informed about significant market changes, allowing you to make timely trading decisions without constantly monitoring the charts.
KARRY ETH 5HStrategy Overview:
This Ethereum trading system combines trend-following and breakout logic with volatility adaptation:
Core Logic
Buy Signals: Trigger when:
Price breaks above upper channel (bullish breakout)
Supertrend confirms bullish trend (green)
Price stays above 20-period EMA (trend filter)
RSI < 65 (avoids chasing overbought moves)
Sell Signals: Activate when:
Price breaks below lower channel (bearish breakdown)
Supertrend confirms bearish trend (red)
Price holds below 20-period EMA
RSI > 35 (avoids panic-selling oversold conditions)
Key Features
⏰ 5-hour cooldown between signals to prevent overtrading
📊 Uses Supertrend (volatility) + EMA (trend) + RSI (momentum) confluence
🎯 Self-adjusting via dynamic price channels and trend confirmation
⚖️ Balances aggression (breakouts) with caution (RSI filters)
Ideal for swing trading ETH across all market conditions, emphasizing disciplined entries while respecting volatility.
Ultimate Stochastics Strategy by NHBprod Use to Day Trade BTCHey All!
Here's a new script I worked on that's super simple but at the same time useful. Check out the backtest results. The backtest results include slippage and fees/commission, and is still quite profitable. Obviously the profitability magnitude depends on how much capital you begin with, and how much the user utilizes per order, but in any event it seems to be profitable according to backtests.
This is different because it allows you full functionality over the stochastics calculations which is designed for random datasets. This script allows you to:
Designate ANY period of time to analyze and study
Choose between Long trading, short trading, and Long & Short trading
It allows you to enter trades based on the stochastics calculations
It allows you to EXIT trades using the stochastics calculations or take profit, or stop loss, Or any combination of those, which is nice because then the user can see how one variable effects the overall performance.
As for the actual stochastics formula, you get control, and get to SEE the plot lines for slow K, slow D, and fast K, which is usually not considered.
You also get the chance to modify the smoothing method, which has not been done with regular stochastics indicators. You get to choose the standard simple moving average (SMA) method, but I also allow you to choose other MA's such as the HMA and WMA.
Lastly, the user gets the option of using a custom trade extender, which essentially allows a buy or sell signal to exist for X amount of candles after the initial signal. For example, you can use "max bars since signal" to 1, and this will allow the indicator to produce an extra sequential buy signal when a buy signal is generated. This can be useful because it is possible that you use a small take profit (TP) and quickly exit a profitable trade. With the max bars since signal variable, you're able to reenter on the next candle and allow for another opportunity.
Let me know if you have any questions! Please take a look at the performance report and let me know your thoughts! :)
