200 ema dangezone This script tracks price interaction with the 200 EMA on the 1-minute chart and highlights key regions:
Purple: No-trade zone, indicating recent proximity to the 200 EMA.
Green: Trending upward, price above the 200 EMA.
Red: Trending downward, price below the 200 EMA.
Use this indicator to identify safe trading opportunities while avoiding high-risk zones near the EMA.
Moyennes mobiles
Historical Volatility with MAUses built-in historical volatility indicator and allows for custom moving average to be overlaid
HMA + RSI / Owl of ProfitHMA + RSI Strategy
This strategy combines the Hull Moving Average (HMA) and the Relative Strength Index (RSI) to identify potential trade opportunities based on trend direction and momentum.
Features:
HMA Calculation:
Length: 50 (default).
HMA is plotted as a blue line on the price chart to indicate trend direction.
RSI Calculation:
Length: 14 (default).
Overbought Level: 70.
Oversold Level: 30.
RSI is plotted in purple with horizontal lines for overbought and oversold levels.
Entry and Exit Logic:
Long Condition:
Triggered when the price is above HMA, and RSI crosses above the oversold level (30).
Short Condition:
Triggered when the price is below HMA, and RSI crosses below the overbought level (70).
Exit Logic:
Long positions exit when RSI crosses below the overbought level or when the price drops below HMA.
Short positions exit when RSI crosses above the oversold level or when the price rises above HMA.
Customization Options:
Adjust HMA and RSI lengths, as well as RSI levels for overbought and oversold conditions, to suit different market conditions.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
BuyTheDips Trade on Trend and Fixed TP/SL
This strategy is designed to trade in the direction of the trend using exponential moving average (EMA) crossovers as signals while employing fixed percentages for take profit (TP) and stop loss (SL) to manage risk and reward. It is suitable for both scalping and swing trading on any timeframe, with its default settings optimized for short-term price movements.
How It Works
EMA Crossovers:
The strategy uses two EMAs: a fast EMA (shorter period) and a slow EMA (longer period).
A buy signal is triggered when the fast EMA crosses above the slow EMA, indicating a potential bullish trend.
A sell signal is triggered when the fast EMA crosses below the slow EMA, signaling a bearish trend.
Trend Filtering:
To improve signal reliability, the strategy only takes trades in the direction of the overall trend:
Long trades are executed only when the fast EMA is above the slow EMA (bullish trend).
Short trades are executed only when the fast EMA is below the slow EMA (bearish trend).
This filtering ensures trades are aligned with the prevailing market direction, reducing false signals.
Risk Management (Fixed TP/SL):
The strategy uses fixed percentages for take profit and stop loss:
Take Profit: A percentage above the entry price for long trades (or below for short trades).
Stop Loss: A percentage below the entry price for long trades (or above for short trades).
These percentages can be customized to balance risk and reward according to your trading style.
For example:
If the take profit is set to 2% and the stop loss to 1%, the strategy operates with a 2:1 risk-reward ratio. BINANCE:BTCUSDT
EMA 9 a 21 + Stochastic RSI / Owl of ProfitEMA 9/21 + Stoch RSI Strategy
This strategy combines Exponential Moving Averages (EMA) with Stochastic RSI to identify high-probability trading opportunities by analyzing both trend direction and overbought/oversold conditions.
Features:
Exponential Moving Averages (EMA):
Tracks short-term (9-period) and mid-term (21-period) trends.
Crossover signals are used to determine bullish and bearish trends.
Stochastic RSI:
Identifies overbought and oversold market conditions.
Adds a layer of confirmation to EMA crossovers, improving signal quality.
Entry and Exit Conditions:
Long Entry: Triggered when EMA 9 crosses above EMA 21 (bullish crossover) and Stochastic RSI is below the oversold threshold (default: 20).
Short Entry: Triggered when EMA 9 crosses below EMA 21 (bearish crossover) and Stochastic RSI is above the overbought threshold (default: 80).
Positions are closed when the opposite signal occurs.
Customization Options:
Adjust EMA and Stochastic RSI lengths to suit your trading preferences.
Modify overbought and oversold levels for different market conditions.
Visualization:
Plots EMA 9 and EMA 21 directly on the price chart for trend analysis.
Displays Stochastic RSI in a separate panel for clear visualization of overbought/oversold zones.
This strategy is designed for educational and testing purposes. Use it as a foundation for further backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
EMA 9/21 + ATR Stop-Loss / Owl of ProfitEMA 9/21 + ATR SL Strategy
This strategy combines Exponential Moving Averages (EMA) with a Stop-Loss based on the Average True Range (ATR) to create a robust trend-following system with volatility-based risk management.
Features:
Exponential Moving Averages (EMA):
Tracks short-term (9-period) and mid-term (21-period) trends.
Crossover signals indicate bullish or bearish trends for trade entries.
Average True Range (ATR):
Dynamically calculates Stop-Loss levels based on market volatility.
Protects trades by adapting to changing market conditions.
Entry and Exit Conditions:
Long Entry: Triggered when EMA 9 crosses above EMA 21 (bullish crossover).
Short Entry: Triggered when EMA 9 crosses below EMA 21 (bearish crossover).
Positions are exited when the Stop-Loss level, calculated using ATR, is hit.
Customization Options:
Adjust the periods for EMA and ATR to suit different trading styles or markets.
Modify the ATR multiplier for tighter or looser Stop-Loss levels.
Visualization:
EMA 9 and EMA 21 are plotted directly on the price chart for clear trend identification.
ATR-based Stop-Loss levels are dynamically calculated for each trade.
This strategy is designed for educational and testing purposes. Use it as a foundation for further backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
EMA 9 + EMA 21 / Owl of ProfitEMA 9 + EMA 21 Strategy
This simple yet effective strategy uses the Exponential Moving Average (EMA) crossover method to identify trend reversals and generate buy and sell signals.
Features:
Exponential Moving Averages (EMA):
Tracks short-term (9-period) and mid-term (21-period) trends.
Crossover signals are used to determine potential entry and exit points.
Entry and Exit Conditions:
Long Entry: Triggered when EMA 9 crosses above EMA 21 (bullish crossover).
Short Entry: Triggered when EMA 9 crosses below EMA 21 (bearish crossover).
Positions are closed immediately when an opposite crossover occurs.
Customization Options:
Easily adjust the periods of EMA to suit different trading styles or asset classes.
Visualization:
Both EMAs are plotted directly on the price chart for clear trend identification.
Long and short signals are executed based on crossover events.
This strategy is designed for educational and testing purposes. Use it as a foundation for further backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
EMA12 + EMA26 + MACD + RSI / Owl of ProfitEMA 12 + EMA 26 + MACD + RSI Strategy
This strategy combines Exponential Moving Averages (EMA), MACD, and RSI to identify high-probability trading opportunities. It uses trend, momentum, and overbought/oversold conditions to refine entry and exit points.
Features:
Exponential Moving Averages (EMA):
Tracks short-term (12-period) and long-term (26-period) trends for crossover signals.
MACD Indicator:
Confirms trend strength and momentum using the MACD line and Signal line crossover.
Includes a histogram for visualizing bullish or bearish momentum.
RSI (Relative Strength Index):
Identifies overbought and oversold conditions to avoid entering trades in extreme zones.
Entry Conditions:
Long Entry: Triggered when EMA12 crosses above EMA26, MACD crosses above the Signal line, and RSI is below 70.
Sell Exit: Triggered when EMA12 crosses below EMA26, MACD crosses below the Signal line, and RSI is above 30.
Customization Options:
Modify lengths for EMA, MACD, and RSI to suit your trading preferences.
Visualization:
Plots EMA12 and EMA26 on the price chart for trend identification.
Displays MACD histogram and RSI in separate panels for momentum and strength analysis.
Entry and exit signals are clearly marked on the chart.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
EMA 12 + EMA 26 + MACD / Owl of ProfitEMA 12 + EMA 26 + MACD Strategy
This strategy combines Exponential Moving Averages (EMA) with the MACD indicator to identify bullish and bearish market trends. It includes dynamic stop-loss and take-profit levels for risk management.
Features:
Exponential Moving Averages (EMA):
Tracks short-term and long-term trends using 12-period and 26-period EMAs.
Provides clear crossover signals for trend direction.
MACD Indicator:
Analyzes momentum and confirms entry signals using the MACD line and Signal line crossover.
Includes a histogram for visualizing bullish and bearish momentum.
Entry Conditions:
Long Entry: Triggered when the short EMA crosses above the long EMA and MACD is above the Signal line.
Short Entry: Triggered when the short EMA crosses below the long EMA and MACD is below the Signal line.
Exit Conditions:
Dynamic Stop-Loss and Take-Profit levels based on user-defined percentages.
Positions are also closed when the EMA or MACD signals reverse.
Customization Options:
Adjust EMA lengths for sensitivity to trends.
Modify MACD settings (fast, slow, and signal periods).
Set Stop-Loss and Take-Profit percentages for risk and reward management.
Visualization:
Plots short and long EMAs directly on the chart for easy trend identification.
Includes MACD and Signal line with a histogram in a separate panel for momentum analysis.
Entry and exit signals are clearly marked on the chart.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
BB + MA / Owl of ProfitThis strategy combines Bollinger Bands (BB) and a Moving Average (MA) to identify trend-following entry and exit signals. It leverages Bollinger Bands for volatility-based breakouts and a Moving Average for trend confirmation.
Features:
Bollinger Bands:
Detects price volatility with customizable period and multiplier.
Generates signals based on price crossing the upper or lower bands.
Moving Average:
Supports both SMA (Simple Moving Average) and EMA (Exponential Moving Average).
Confirms trend direction for entry and exit conditions.
Entry Conditions:
Long: Price crosses above the lower Bollinger Band and is above the MA.
Short: Price crosses below the upper Bollinger Band and is below the MA.
Exit Conditions:
Long Exit: Price crosses below the MA or drops below it.
Short Exit: Price crosses above the MA or rises above it.
Customization Options:
Adjust Bollinger Bands period and multiplier for volatility sensitivity.
Choose between SMA or EMA for the Moving Average.
Visualization:
Bollinger Bands with shaded areas for easy identification of price ranges.
Visual markers for entry and exit signals directly on the chart.
This strategy is designed for educational and testing purposes. Use it as a foundation for further customization and backtesting on your preferred markets.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
SALIM BUY/SELL MA5+MA9
The information provided does not constitute a recommendation regarding the suitability of investing in any financial products or instruments, nor does it serve as a substitute for the user's discretion. It should not be considered as advice and/or a recommendation to buy or sell securities or any financial products
Trader Martiny IndicatorTrader Martiny Indicator
Based on the 8-period exponential moving average, colors the candles according to the possible reversal. Green for buy, red for sell.
Manoj Keer No Repaint EMA auto Buy/SellManoj Keer No Repaint EMA auto Buy/Sell
Yah indicator Maine khud Ne banaya Hai aur ismein Maine 6 mahine ka back test Kiya Hai result positive hai har month mein result positive hi aata hai yah indicator auto buy sell indicator Hai algorithm trading karne ke liye aur manually trading bhi aap kar sakte ho ismein big move pakdane ke liye setting banaa rakhi hai jo ki move aasani se pakad kar profit De sake... Sideways market mein fake signal bhi aate Hain vah isliye aate Hain ki big move kabhi bhi vahan se a sakta hai isliye usko capture karne ke liye sideways mein bhi signal milenge aapko dekhne ke liye
Ultimate Total MA + ATRIndicator Description (English)
Name: Tendencias FX - Multi-Line with Customizable Offsets (1x..6x)
This script is a multi-purpose trend-following indicator that calculates a central Moving Average (Mid Line) plus a set of 6 different bands (1x to 6x) above and below that average. Each band is determined by a user-defined ATR length and multiplier. Key features include:
Independent MA Types
Choose different moving average methods for the Mid Line and for the ATR calculation.
Available types: SMA, EMA, WMA, RMA, HMA, and ALMA.
Separate Lengths
Configure the length of the Mid Line independently from the ATR length.
This allows fine-tuning of both the central average and the volatility measure.
6 Customizable Multipliers
Bands are calculated for 1x, 2x, 3x, 4x, 5x, and 6x multiples of the chosen ATR.
Each level has its own checkbox in the Inputs tab so you can show or hide them at will.
Color Dynamics
The Mid Line automatically changes color to green when its current value is higher than the previous bar’s value, and red otherwise.
All upper/lower bands are rendered in a neutral gray (#787b86) for easy distinction.
Time Shift (Offset)
An offset parameter allows shifting the entire indicator (Mid Line plus bands) forward (to the right) or backward (to the left) by a certain number of bars.
This can help evaluate leads/lags, or compare the past behavior of these lines against future price developments.
Check Boxes for Visibility
Checkboxes in the Inputs let you toggle 1x..6x band levels.
By default, 1x, 2x, and 3x are visible, while 4x, 5x, and 6x are off.
Overlay with Shared Price Scale
The script is set as overlay=true and uses scale=scale.right, so it draws directly on the main chart and shares the same price axis as your candles.
This indicator is ideal if you want:
A central MA for trend detection.
ATR-based volatility bands (up to 6 multipliers).
Full control over the type and length of both the Mid Line MA and the ATR.
An optional offset to shift the lines in time for backtesting or forward-projection.
Usage Tips
In the Inputs tab, customize:
Mid Line length and ATR length independently.
MA methods for both Mid Line and ATR (SMA, EMA, WMA, RMA, HMA, ALMA).
Band visibility via checkboxes for 1x..6x.
Offset for shifting lines in time.
In the Style tab, you can further customize colors, line widths, and visibility of each element (Mid line, ±1x..±6x).
Enjoy exploring different settings to best match your preferred trading style and timeframe!
Multi Timeframe MAsThis Pine Script indicator, titled "Multi Timeframe MAs," allows you to plot Exponential Moving Averages (EMAs) or Simple Moving Averages (SMAs) from multiple timeframes on a single chart. This helps traders and analysts visualize and compare different moving averages across various timeframes without having to switch between charts.
Key Features:
Multiple Timeframes:
The script supports six different timeframes, ranging from minutes to weekly intervals.
Users can input their desired timeframes, including custom settings such as "60" (60 minutes), "D" (daily), and "W" (weekly).
Moving Average Types:
Users can choose between Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) for each timeframe.
The script utilizes a ternary operator to determine whether to calculate an EMA or an SMA based on user input.
Customizable Periods:
Each moving average can have a different period, allowing for flexibility in analysis.
The default periods are set to commonly used values (e.g., 15, 20, 5, 12).
Visibility Controls:
Users can toggle the visibility of each moving average line, enabling or disabling them as needed.
This feature helps declutter the chart when specific moving averages are not required.
Black Stepped Lines:
All moving averages are plotted as black, stepped lines to provide a clear and consistent visual representation.
This makes it easy to distinguish these lines from other elements on the chart.
Example Use Cases:
Trend Analysis: Compare short-term and long-term trends by visualizing moving averages from different timeframes on a single chart.
Support and Resistance Levels: Identify key support and resistance levels across multiple timeframes.
Cross-Timeframe Strategy: Develop and test trading strategies that rely on the confluence of moving averages from different timeframes.
This script offers a powerful tool for traders and analysts who want to gain deeper insights into market movements by examining moving averages across multiple timeframes. With its customizable settings and user-friendly interface, it provides a versatile solution for a wide range of trading and analytical needs.
Multiple Values TableThis Pine Script indicator, named "Multiple Values Table," provides a comprehensive view of various technical indicators in a tabular format directly on your trading chart. It allows traders to quickly assess multiple metrics without switching between different charts or panels.
Key Features:
Table Position and Size:
Users can choose the position of the table on the chart (e.g., top left, top right).
The size of the table can be adjusted (e.g., tiny, small, normal, large).
Moving Averages:
Calculates the 5-day Exponential Moving Average (5DEMA) using daily data.
Calculates the 5-week and 20-week EMAs (5WEMA and 20WEMA) using weekly data.
Indicates whether the current price is above or below these moving averages in percentage terms.
Drawdown and Williams VIX Fix:
Computes the drawdown from the 365-day high to the current close.
Calculates the Williams VIX Fix (WVF), which measures the volatility of the asset.
Shows both the current WVF and a 2% drawdown level.
Relative Strength Index (RSI):
Displays the current RSI and compares it to the RSI from 14 days ago.
Indicates whether the RSI is increasing, decreasing, or flat.
Stochastic RSI:
Computes the Stochastic RSI and compares it to the value from 14 days ago.
Indicates whether the Stochastic RSI is increasing, decreasing, or flat.
Normalized MACD (NMACD):
Calculates the Normalized MACD values.
Indicates whether the MACD is increasing, decreasing, or flat.
Awesome Oscillator (AO):
Calculates the AO on a daily timeframe.
Indicates whether the AO is increasing, decreasing, or flat.
Volume Analysis:
Displays the average volume over the last 22 days.
Shows the current day's volume as a percentage of the average volume.
Percentile Calculations:
Calculates the current percentile rank of the WVF and ATH over specified periods.
Indicates the percentile rank of the current volume percentage over the past period.
Table Display:
All these values are presented in a neatly formatted table.
The table updates dynamically with the latest data.
Example Use Cases:
Comprehensive Market Analysis: Quickly assess multiple indicators at a glance.
Trend and Momentum Analysis: Identify trends and momentum changes based on various moving averages and oscillators.
Volatility and Drawdown Monitoring: Track volatility and drawdown levels to manage risk effectively.
This script offers a powerful tool for traders who want to have a holistic view of various technical indicators in one place. It provides flexibility in customization and a user-friendly interface to enhance your trading experience.
Difference Between Candle Close and Fibonacci MA AVGIndicator calculates the first 17 Fibonacci moving averages and then finds the average. The difference between the close price and average Fibonacci MA and is then "scaled" by dividing the average Fibonacci MA.
Indicator shows the MA trend and can show possible support and resistance. Indicator shows an oscillation between an asset being overbought and oversold. Each asset has its own oscillation profile.
diff = (close - avgFibMA)/avgFibMA
PDF-MA Supertrend [BackQuant]PDF-MA Supertrend
The PDF-MA Supertrend combines the innovative Probability Density Function (PDF) smoothing with the widely popular Supertrend methodology, creating a robust tool for identifying trends and generating actionable trading signals. This indicator is designed to provide precise entries and exits by dynamically adapting to market volatility while visualizing long and short opportunities directly on the chart.
Core Feature: PDF Smoothing
At the foundation of this indicator is the PDF smoothing technique, which applies a Probability Density Function to calculate a smoothed moving average. This method allows the indicator to assign adaptive weights to data points, making it responsive to market changes without overreacting to short-term volatility.
Key parameters include:
Variance: Controls the spread of the PDF weighting. A smaller variance results in sharper responses, while a larger variance smooths out the curve.
Mean: Shifts the PDF’s center, allowing traders to tweak how weights are distributed around the data points.
Smoothing Method: Offers the choice between EMA (Exponential Moving Average) and SMA (Simple Moving Average) for blending the PDF-smoothed data with traditional moving average methods.
By combining these parameters, the PDF smoothing creates a moving average that effectively captures underlying trends.
Supertrend: Adaptive Trend and Volatility Tracking
The Supertrend is a well-known volatility-based indicator that dynamically adjusts to market conditions using the ATR (Average True Range). In this script, the PDF-smoothed moving average acts as the price input, making the Supertrend calculation more adaptive and precise.
Key Supertrend Features:
ATR Period: Determines the lookback period for calculating market volatility.
Factor: Multiplies the ATR to set the distance between the Supertrend and the price. A higher factor creates wider bands, filtering out smaller price movements, while a lower factor captures tighter trends.
Dynamic Direction: The Supertrend flips its direction based on price interactions with the calculated upper and lower bands:
Uptrend : When the price is above the Supertrend, the direction turns bullish.
Downtrend : When the price is below the Supertrend, the direction turns bearish.
This combination of PDF smoothing and Supertrend calculation ensures that trends are detected with greater accuracy, while volatility filters out market noise.
Long and Short Signal Generation
The PDF-MA Supertrend generates actionable trading signals by detecting transitions in the trend direction:
Long Signal (𝕃): Triggered when the trend transitions from bearish to bullish. This is visually represented with a green triangle below the price bars.
Short Signal (𝕊): Triggered when the trend transitions from bullish to bearish. This is marked with a red triangle above the price bars.
These signals provide traders with clear entry and exit points, ensuring they can capitalize on emerging trends while avoiding false signals.
Customizable Visualization Options
The indicator offers a range of visualization settings to help traders interpret the data with ease:
Show Supertrend: Option to toggle the visibility of the Supertrend line.
Candle Coloring: Automatically colors candlesticks based on the trend direction:
Green for long trends.
Red for short trends.
Long and Short Signals (𝕃 + 𝕊): Displays long (𝕃) and short (𝕊) signals directly on the chart for quick identification of trade opportunities.
Line Color Customization: Allows users to customize the colors for long and short trends.
Alert Conditions
To ensure traders never miss an opportunity, the PDF-MA Supertrend includes built-in alerts for trend changes:
Long Signal Alert: Notifies when a bullish trend is identified.
Short Signal Alert: Notifies when a bearish trend is identified.
These alerts can be configured for real-time notifications via SMS, email, or push notifications, making it easier to stay updated on market movements.
Suggested Parameter Adjustments
The indicator’s effectiveness can be fine-tuned using the following guidelines:
Variance:
For low-volatility assets (e.g., indices): Use a smaller variance (1.0–1.5) for smoother trends.
For high-volatility assets (e.g., cryptocurrencies): Use a larger variance (1.5–2.0) to better capture rapid price changes.
ATR Factor:
A higher factor (e.g., 2.0) is better suited for long-term trend-following strategies.
A lower factor (e.g., 1.5) captures shorter-term trends.
Smoothing Period:
Shorter periods provide more reactive signals but may increase noise.
Longer periods offer stability and better alignment with significant trends.
Experimentation is encouraged to find the optimal settings for specific assets and trading strategies.
Trading Applications
The PDF-MA Supertrend is a versatile indicator suited to a variety of trading approaches:
Trend Following : Use the Supertrend line and signals to follow market trends and ride sustained price movements.
Reversal Trading : Spot potential trend reversals as the Supertrend flips direction.
Volatility Analysis : Adjust the ATR factor to filter out minor price fluctuations or capture sharp movements.
Final Thoughts
The PDF-MA Supertrend combines the precision of Probability Density Function smoothing with the adaptability of the Supertrend methodology, offering traders a powerful tool for identifying trends and volatility. With its customizable parameters, actionable signals, and built-in alerts, this indicator is an excellent choice for traders seeking a robust and reliable system for trend detection and entry/exit timing.
As always, backtesting and incorporating this indicator into a broader strategy are recommended for optimal results.
Radial Basis Kernal ATR [BackQuant]Radial Basis Kernel ATR
The Radial Basis Kernel ATR is a trading indicator that combines the classic Average True Range (ATR) with advanced Radial Basis Function (RBF) kernel smoothing . This innovative approach creates a highly adaptive and precise tool for detecting volatility, identifying trends, and providing dynamic support and resistance levels.
With its configurable parameters and ability to adjust to market conditions, this indicator offers traders a robust framework for making informed decisions across various assets and timeframes.
Key Feature: Radial Basis Function Kernel Smoothing
The Radial Basis Function (RBF) kernel is at the heart of this indicator, applying sophisticated mathematical techniques to smooth price data and calculate an enhanced version of ATR. By weighting data points dynamically, the RBF kernel ensures that recent price movements are given appropriate emphasis without overreacting to short-term noise.
The RBF kernel uses a gamma factor to control the degree of smoothing, making it highly adaptable to different asset classes and market conditions:
Gamma Factor Adjustment :
For low-volatility data (e.g., indices), a smaller gamma (0.05–0.1) ensures smoother trends and avoids overly sharp responses.
For high-volatility data (e.g., cryptocurrencies), a larger gamma (0.1–0.2) captures the increased price fluctuations while maintaining stability.
Experimentation is Key : Traders are encouraged to backtest and visually compare different gamma values to find the optimal setting for their specific asset and strategy.
The gamma factor dynamically adjusts based on the variance of the source data, ensuring the indicator remains effective across a wide range of market conditions.
Average True Range (ATR) with Dynamic Bands
The ATR is a widely used volatility measure that captures the degree of price movement over a specific period. This indicator enhances the traditional ATR by integrating the RBF kernel, resulting in a smoothed and adaptive ATR calculation.
Dynamic bands are created around the RBF kernel output using a user-defined ATR factor , offering valuable insights into potential support and resistance zones. These bands expand and contract based on market volatility, providing a visual representation of potential price movement.
Moving Average Confluence
For additional confirmation, the indicator includes the option to overlay a moving average on the smoothed ATR. Traders can choose from several moving average types, such as EMA , SMA , or Hull , and adjust the lookback period to suit their strategy. This feature helps identify broader trends and potential confluence areas, making the indicator even more versatile.
Long and Short Trend Detection
The indicator provides long and short signals based on the directional movement of the smoothed ATR:
Long Signal : Triggered when the ATR crosses above its previous value, indicating bullish momentum.
Short Signal : Triggered when the ATR crosses below its previous value, signaling bearish momentum.
These trend signals are visually highlighted on the chart with green and red bar coloring (optional), providing clear and actionable insights.
Customization Options
The Radial Basis Kernel ATR offers extensive customization options, allowing traders to tailor the indicator to their preferences:
RBF Kernel Settings
Source : Select the price data (e.g., close, high, low) used for the kernel calculation.
Kernel Length : Define the lookback period for the RBF kernel, controlling the smoothing effect.
Gamma Factor : Adjust the smoothing sensitivity, with smaller values for smoother trends and larger values for responsiveness.
ATR Settings
ATR Period : Set the period for ATR calculation, with shorter periods capturing more short-term volatility and longer periods providing a broader view.
ATR Factor : Adjust the scaling of ATR bands for dynamic support and resistance levels.
Confluence Settings
Moving Average Type : Choose from various moving average types for additional trend confirmation.
Moving Average Period : Define the lookback period for the moving average overlay.
Visualization
Trend Coloring : Enable or disable bar coloring based on trend direction (green for long, red for short).
Background Highlighting : Add optional background shading to emphasize long and short trends visually.
Line Width : Customize the thickness of the plotted ATR line for better visibility.
Alerts and Automation
To help traders stay on top of market movements, the indicator includes built-in alerts for trend changes:
Kernel ATR Trend Up : Triggered when the ATR indicates a bullish trend.
Kernel ATR Trend Down : Triggered when the ATR signals a bearish trend.
These alerts ensure traders never miss important opportunities, providing timely notifications directly to their preferred device.
Suggested Gamma Values
The effectiveness of the gamma factor depends on the asset type and the selected kernel length:
Low Volatility Assets (e.g., indices): Use a smaller gamma factor (approximately 0.05–0.1) for smoother trends.
High Volatility Assets (e.g., crypto): Use a larger gamma factor (approximately 0.1–0.2) to capture sharper price movements.
Experimentation : Fine-tune the gamma factor using backtests or visual comparisons to optimize for specific assets and strategies.
Trading Applications
The Radial Basis Kernel ATR is a versatile tool suitable for various trading styles and strategies:
Trend Following : Use the smoothed ATR and dynamic bands to identify and follow trends with confidence.
Reversal Trading : Spot potential reversals by observing interactions with dynamic ATR bands and moving average confluence.
Volatility Analysis : Analyze market volatility to adjust risk management strategies or position sizing.
Final Thoughts
The Radial Basis Kernel ATR combines advanced mathematical techniques with the practical utility of ATR, offering traders a powerful and adaptive tool for volatility analysis and trend detection. Its ability to dynamically adjust to market conditions through the RBF kernel and gamma factor makes it a unique and indispensable part of any trader's toolkit.
By combining sophisticated smoothing , dynamic bands , and customizable visualization , this indicator enhances the ability to read market conditions and make more informed trading decisions. As always, backtesting and incorporating it into a broader strategy are recommended for optimal results.
CHAKRA RISS ENGULFING CANDLESTICK STRATEGYChakra RISS Engulfing Candlestick Strategy
Type: Technical Indicator & Strategy
Platform: TradingView
Script Version: Pine Script v6
Overview:
The Chakra RISS Engulfing Candlestick Strategy combines a momentum-based approach using the Relative Strength Index (RSI) with Engulfing Candlestick Patterns to generate buy and sell signals. The strategy filters trades based on price movement relative to a 50-period Simple Moving Average (SMA), making it a trend-following strategy.
The indicator uses color-coded bars to visually represent market conditions, helping traders easily identify bullish and bearish trends. The strategy is designed to be dynamic, adapting to changing market conditions and filtering out noise using key technical indicators.
How It Works:
RSI-Based Color Conditions:
Green Bars: When the RSI crosses above a specified UpLevel (default: 50), indicating a bullish momentum and signaling potential buy conditions.
Red Bars: When the RSI crosses below a specified DownLevel (default: 50), indicating a bearish momentum and signaling potential sell conditions.
Buy Signal:
Triggered when the following conditions are met:
RSI crosses from below the UpLevel (default: 50) to above it, signaling increasing bullish momentum.
The close price is above the 50-period Simple Moving Average (SMA), confirming an uptrend.
The Buy Signal is plotted below the bar with a green arrow and a "BUY" label.
Sell Signal:
Triggered when the following conditions are met:
RSI crosses from above the DownLevel (default: 50) to below it, signaling increasing bearish momentum.
The close price is below the 50-period Simple Moving Average (SMA), confirming a downtrend.
The Sell Signal is plotted above the bar with a red arrow and a "SELL" label.
Stop Loss and Take Profit:
For long trades (buy signals), the stop loss is placed below the previous bar's low, and the take profit is set at 3% above the entry price.
For short trades (sell signals), the stop loss is placed above the previous bar's high, and the take profit is set at 3% below the entry price.
Dynamic Bar Coloring:
The bar colors change dynamically based on RSI levels:
Green Bars: Indicating a potential uptrend (bullish).
Red Bars: Indicating a potential downtrend (bearish).
These visual cues help traders quickly identify market trends and potential reversals.
Trend Filtering:
The 50-period Simple Moving Average (SMA) is used to filter trades based on the overall market trend:
Buy signals are only considered when the price is above the moving average, indicating an uptrend.
Sell signals are only considered when the price is below the moving average, indicating a downtrend.
Alerting System:
Alerts can be set for both buy and sell signals. These alerts notify traders in real-time when potential trades are generated, allowing them to act promptly.
Alerts can be configured to send notifications through email, SMS, or a webhook for integration with other services like IFTTT or Zapier.
Key Features:
RSI and Moving Average-Based Signals: Combines RSI with a moving average for more accurate trade signals.
Stop Loss and Take Profit: Dynamic risk management with custom stop loss and take profit levels based on previous high and low prices.
Buy and Sell Alerts: Provides real-time alerts when a buy or sell signal is triggered.
Trend Confirmation: Uses the 50-period Simple Moving Average to filter signals and confirm the direction of the trend.
Visual Bar Color Changes: Makes it easy to identify bullish or bearish trends with color-coded bars.
Usage:
This strategy is suitable for traders who prefer a trend-following approach and want to combine momentum indicators (RSI) with price action (Engulfing Candlestick patterns). It is particularly useful in volatile markets where quick identification of trend changes can lead to profitable trades.
Best Used For: Day trading, swing trading, and trend-following strategies.
Timeframes: Works well on various timeframes, from 1-minute charts for scalping to daily charts for swing trading.
Markets: Can be applied to any market with sufficient liquidity (stocks, forex, crypto, etc.).
Settings:
UpLevel: The RSI level above which the market is considered bullish (default: 50).
DownLevel: The RSI level below which the market is considered bearish (default: 50).
SMA Length: The period of the Simple Moving Average used to filter trades (default: 50).
Risk Management: Customizable stop loss and take profit settings based on price action (default: 3% above/below the entry price).
