Acceleration BandsAcceleration Bands indicator script. This indicator was originally developed by Price Headley.
Search in scripts for "band"
(YEK) Bollinger Bands & DoubleHMA & MA CrossMy favorite indicators ALL-IN-1: Bollinger Bands, Double Hull Moving Average (21,8), Double Moving Average (200,50)
Volume Weighted Average Range Bands [DW]This is an experimental study designed to identify the underlying trend bias and volatility of an instrument over any custom interval TradingView supports.
First, reset points are established at points where the opening price of the interval changes.
Next, Volume Weighted Average Price (VWAP) is calculated. It is the cumulative sum of typical price times volume divided by the cumulative volume. The cumulation starts over upon each reset point.
After that, Volume Weighted Average Range (VWAR) is calculated. The formula structure is the same as VWAP, except using range rather than typical price.
Lastly, the bands are calculated by multiplying the VWAR by the specified multiplier (approximate Golden Ratio by default) and by 1 through 5, then adding to and subtracting from the VWAP.
Custom Bar Colors are included.
Fractal Chaos Bands Backtest The FCB indicator looks back in time depending on the number of time periods trader selected
to plot the indicator. The upper fractal line is made by plotting stock price highs and the
lower fractal line is made by plotting stock price lows. Essentially, the Fractal Chaos Bands
show an overall panorama of the price movement, as they filter out the insignificant fluctuations
of the stock price.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Ichimoku And DD Bollinger BandsIchimoku System Plus Double Bolliner Bands
Made in Mexico City with Love.
Kaufman's Adaptive Moving Average BandsKaufman's Adaptive Moving Average with 6 Bands at a time and trend direction.
Triple Bollinger BandsI found myself using multiple bollinger bands a lot so I decided to add them all to one script and add the ability to adjust them by 0.2. It has helped me by not taking up as much space in the upper left corner as well as improving my in's and outs of trend continuation trades. If you manage to find a double top at +2 or greater deviation, and with a bearish divergence on the RSI as shown in this picture, GO SHORT SON! This was a fast and easy 35 - 40 pips and if you used your fibonacci for an exit you had little doubt of the final result and could have even been prepared for an immediate reversal knowing you were then at an oversold -2.8 deviation. I could go on and on........
Stochastic In BandsWhat about to display Stochastic Oscilator in EMA-ATR Bands? If you like the idea I would code advanced version
Dual Keltner ChannelsDual Keltner Channels (DKC) Indicator 📊
🔹 About This Indicator
This indicator is an enhanced version of the original Keltner Channel available in TradingView. The Keltner Channel was initially designed as a volatility-based envelope around a moving average, helping traders identify trends, breakouts, and potential reversal zones.
💡 Original Creator: The Keltner Channel concept is based on the work of Chester W. Keltner and was later implemented in various trading platforms, including TradingView’s built-in Keltner Channel indicator.
This script builds upon the TradingView version of the Keltner Channel, adding:
✅ Dual Keltner Bands (Inner & Outer) for better trend and volatility analysis.
✅ Customizable Moving Averages (EMA/SMA) for flexibility.
✅ Multiple Band Calculation Methods (ATR, True Range, Range) for improved accuracy.
✅ Shaded Zones Between the Bands for enhanced visual clarity.
⚡ Credit: This indicator is an enhancement of the original Keltner Channel Indicator in TradingView. All improvements and modifications are made to provide deeper market insights while maintaining the core principles of the original Keltner concept.
🔹 Overview
The Dual Keltner Channels (DKC) indicator overlays two Keltner Channels on the price chart, helping traders spot trends, breakouts, and reversals with greater precision.
Inner Keltner Band (Multiplier 1): Captures normal price movements.
Outer Keltner Band (Multiplier 2): Highlights extreme price movements and potential breakouts.
🔹 Features & Inputs
📌 Main Inputs:
Keltner Channel Length: Defines the lookback period for the moving average calculation.
Source Price: Selects the price type (close, open, high, low) to calculate the bands.
Exponential Moving Average (EMA) Option: Choose between Exponential (EMA) or Simple (SMA) as the basis for calculations.
Bands Style: Selects how the volatility is measured:
Average True Range (ATR) (default)
True Range (TR)
Range (High - Low)
ATR Length: Determines the length of ATR calculations.
Enable Multiplier 1 & 2: Toggle to display/hide inner (multiplier 1) and outer (multiplier 2) bands.
📌 Keltner Channels Calculation:
Moving Average (MA): Uses either EMA or SMA for the midline.
Volatility Band Calculation:
Upper Band 1 (Inner Band): MA + (Multiplier 1 × Volatility Measure)
Lower Band 1 (Inner Band): MA - (Multiplier 1 × Volatility Measure)
Upper Band 2 (Outer Band): MA + (Multiplier 2 × Volatility Measure)
Lower Band 2 (Outer Band): MA - (Multiplier 2 × Volatility Measure)
📌 Visuals & Plotting:
Inner Bands (Multiplier 1): Blue upper & lower lines.
Outer Bands (Multiplier 2): Darker blue upper & lower lines.
Basis Line: White moving average.
Shaded Areas:
Between Upper 1 & Upper 2 (Light Brown Area): Identifies the upper Keltner region.
Between Lower 1 & Lower 2 (Light Brown Area): Identifies the lower Keltner region.
🔹 How to Use the Dual Keltner Channels Indicator
✅ 1. Trend Identification
Price above the upper outer band (Multiplier 2): Strong uptrend – potential continuation.
Price below the lower outer band (Multiplier 2): Strong downtrend – potential continuation.
Price within the inner bands (Multiplier 1): Sideways market – possible consolidation.
✅ 2. Breakout Trading
Break above outer upper band: Indicates a bullish breakout – consider long trades.
Break below outer lower band: Indicates a bearish breakdown – consider short trades.
✅ 3. Overbought & Oversold Conditions
Price touching/exceeding outer bands (Multiplier 2): Potential reversal zones.
Reversal confirmation: Look for candlestick patterns (e.g., Doji, Engulfing) or divergence signals.
✅ 4. Pullback & Entry Zones
Price bouncing from inner bands (Multiplier 1): Good re-entry point in trend direction.
Inner band as support/resistance: Helps in setting stop-loss and profit targets.
🔹 Effective Trading Strategies Using DKC
📌 1. Trend Following Strategy (Using Moving Average & Bands)
✅ Look for price staying above/below the basis line (MA) within the outer bands.
✅ Use pullbacks to the inner bands as re-entry points for trend continuation.
✅ Confirm trend strength with momentum indicators like RSI, MACD.
📌 2. Breakout Trading Strategy
✅ Identify a tight consolidation phase within the inner Keltner bands.
✅ Wait for a strong breakout beyond the outer bands.
✅ Enter long/short trades based on breakout direction.
✅ Place stop-loss at the previous inner band to manage risk.
📌 3. Reversal Strategy (Mean Reversion)
✅ When price extends beyond the outer band (Multiplier 2), look for reversal signals (candlestick patterns, RSI divergence).
✅ Enter counter-trend trades with tight stop-loss beyond the band.
✅ Target the moving average (basis line) as take-profit.
🔹 Final Thoughts 💡
The Dual Keltner Channels (DKC) is a powerful upgrade to the standard Keltner Channel, providing:
✅ Greater clarity on trend strength
✅ More precise breakout & reversal signals
✅ Better visual insights for dynamic market conditions
📌 Best Used With: RSI, MACD, Volume Profile, Price Action Signals.
📌 Works on: Stocks, Forex, Crypto, Commodities, Indices.
Groupped SMA with Custom Lenght by Mustafa KAPUZThis script is a custom implementation of grouped Simple Moving Averages (SMA) with added Bollinger Bands
Key Features:
Customizable Length (n): Allows users to set the length for the SMA calculation. The length is the number of bars used to calculate the average. This is input by the user and can be adjusted to analyze different time periods.
Standard Deviation Multiplier (StdDev): This input allows users to customize the width of the Bollinger Bands. A higher multiplier results in wider bands, and a lower multiplier results in narrower bands.
Grouped Calculation: Instead of calculating the SMA on a rolling basis, this script groups the data in sets of n (as per the user-defined length) and calculates the SMA for each group. After each group, the calculation resets.
Bollinger Bands: Based on the SMA calculated for each group, the script calculates the standard deviation of prices within the group. Using the standard deviation and the standard deviation multiplier (StdDev), it computes the upper and lower Bollinger Bands.
Dynamic Visualization: For each completed group of n bars, the script draws lines on the chart representing the upper band, lower band, and the SMA itself. These lines help visualize the volatility and the average price level for each group.
How It Works:
Data Grouping: For every candle/bar on the chart, the script sums up the closing prices and counts the number of bars until it reaches the user-defined length (n). It stores closing prices in an array for further calculations.
Average Calculation: Once the count reaches n, it calculates the average closing price for the group and resets the sum and count for the next group.
Standard Deviation and Bollinger Bands: With the average calculated, it then computes the standard deviation of the closing prices within the group. This standard deviation, multiplied by the user-defined StdDev multiplier, determines the distance of the Bollinger Bands from the average.
Drawing Lines: Finally, the script visually represents these calculations on the chart by drawing lines for the upper band, lower band, and the average itself for each group.
Purpose and Use:
This script is useful for traders and analysts who prefer to examine price movements and volatility in fixed intervals or groups of bars, rather than the continuous rolling averages provided by traditional SMA and Bollinger Band indicators. By adjusting the length and standard deviation multiplier, users can tailor the indicator to fit various trading strategies, time frames, and market conditions. This grouped approach can provide unique insights into market trends, potential reversals, and volatility patterns that might not be as evident with standard indicators.
ATR Clouds*Updated with Version 5*
ATR Clouds
The "ATR Clouds" indicator provides a visual representation of the stock's volatility based on the Average True Range (ATR) calculation. It operates by plotting two bands around the closing price of a stock, using the ATR as a measure of volatility.
Features:
ATR Calculation: The Average True Range is a commonly used metric to understand the volatility of an asset. The indicator calculates the ATR over a user-defined period, with the default being 14 periods.
ATR Bands: Using the ATR value, the script defines two bands:
Upper Band: This is calculated by adding the ATR value to the closing price of the stock. It represents a higher volatility boundary.
Lower Band: This is derived by subtracting the ATR value from the closing price. It indicates a lower volatility boundary.
Cloud Visualization: The space between the upper and lower bands is shaded to create a "cloud" on the chart. This cloud gives traders a clear visual cue of the stock's current volatility range. The cloud has an 80% transparency, allowing the underlying price chart to remain visible.
Customization: Users have the ability to adjust the period for the ATR calculation based on their preferences.
Usage:
Traders can use the ATR Clouds indicator to get a sense of the stock's volatility. Wider clouds indicate periods of higher volatility, while narrower clouds suggest lower volatility. This can be beneficial for se
Bollinger Levels Table - Horizontal Support ZonesBollinger Levels Table - Horizontal Support Zones Indicator (with Customizable Options)
The "Bollinger Levels Table - Horizontal Support Zones" indicator is a comprehensive tool designed to help you identify potential support areas on your chart using moving averages and Bollinger Bands. The indicator displays an organized table of key price levels and draws horizontal lines on the chart, providing clear visibility of potential support zones.
What Does This Indicator Do?
This indicator aims to simplify support analysis by consolidating and displaying significant price levels derived from three different Bollinger Band settings: BB10, BB20, and BB50. It calculates both the Mid-line (Basis) and the Lower Band for each of these settings.
Furthermore, the indicator automatically arranges these levels from highest to lowest in an easy-to-read table, assigning a "Payment" label to each level. These "Payments" are simply labels to help you track the levels in descending order.
How Does This Indicator Work?
Bollinger Band Calculations: The indicator uses the standard Bollinger Band formula:
Mid-line (Basis): A Simple Moving Average (SMA) of the closing price over a specified period.
Standard Deviation (Dev): The standard deviation of the closing price over the same period, multiplied by a Multiplier.
Lower Band: The Mid-line minus the Standard Deviation.
These calculations are applied to three different periods: 10, 20, and 50, providing a variety of potential support levels based on different timeframes. You can adjust the values for these lengths (10, 20, 50) and the Multiplier through the indicator's settings.
Table Construction: A dynamic table is created on the chart (which can be positioned in the top or bottom right corner based on the current price's position). This table displays:
Indicator: The name of the Bollinger Band level (e.g., BB10 Mid, BB20 Lower).
Price: The exact price value of that level.
Payments: A label indicating the level's order in the table.
Level Ordering: All calculated levels are dynamically sorted from highest to lowest to present them in a logical order within the table.
Horizontal Line Plotting: Horizontal lines are drawn on the chart for each selected level, providing a visual representation of the potential support areas. These lines are colored black and have a consistent width for easy identification.
How to Use This Indicator:
This indicator is intended to provide potential entry points or accumulation zones for trades, especially for traders employing Dollar-Cost Averaging (DCA) strategies or building positions in stages. The levels displayed in the table and on the chart can represent potential support levels where one might consider initiating or adding to a position.
In the indicator's settings, you'll find important options:
Multiplier: Controls the width of the Bollinger Bands (default 2.0).
BB Lengths: Allows you to adjust the periods for the moving averages (default 20, 50, 10).
Visible Levels: This is the new feature! Here, you can select which levels you wish to see in the table and on the chart. Simply check or uncheck the boxes next to each level (BB10 Mid, BB10 Lower, and so on) to customize the indicator's display according to your strategy and needs.
Underlying Concepts:
This indicator is based on the principle that Bollinger Bands can act as dynamic support and resistance zones.
Mid-line (SMA): Often functions as a medium-term support or resistance.
Lower Band: Typically indicates that the price is relatively low and may find support, making it a potential area for buying or starting to build a position.
By combining different Bollinger Band timeframes (10, 20, 50), the indicator gives you a multi-timeframe perspective on support areas, helping you identify the most relevant levels for your strategy.
Note: While the indicator provides "Payments" for the levels, this is purely a sequential labeling within the table to assist your position-building strategy. There is no actual payment functionality associated with this indicator.
Bollinger Bubble BreakoutOverview:
This script leverages the principles of Bollinger Bands (BB), a popular tool for measuring volatility and identifying extreme price levels of overbought or oversold conditions. When the price closes outside the upper or lower bands, there is a strong probability that it will revert back inside the bands, typically in two steps:
First, towards the EMA 7 (fast exponential moving average).
Then, towards the SMA 20 (the middle line of the BB).
How It Works:
Outer BB Closes: When a candle closes beyond the upper or lower Bollinger Bands, it typically signals an extreme price extension (high volatility or impulsive movement).
Mean Reversion: Generally, the price tends to revert quickly inside the bands, with the first target being the EMA 7 and the second being the SMA 20. This behavior is based on the mean-reverting nature of Bollinger Bands, which act as dynamic price boundaries.
Alert Signal: The script highlights these closes and visually marks areas where potential reversals or technical corrections might occur.
Usage:
Ideal for traders aiming to exploit extreme moves for counter-trend trades or profit-taking opportunities.
Works best in volatile markets, but caution is advised during strong trends where prices can stay extended outside the bands.
Combine this tool with other indicators (such as RSI or MACD) to confirm signals.
Precautions:
The signals generated do not guarantee an immediate reversion. In strong trending markets, the price can "ride" the outer bands for several candles.
Strict risk management is advised: always use appropriate stop-loss levels based on your risk tolerance.
Practical Example:
When the price closes above the upper band:
Expect a correction towards the EMA 7 and then the SMA 20.
When the price closes below the lower band:
Look for a potential bounce towards the same targets.
Conclusion:
This script is designed to help traders identify opportunities in overbought or oversold conditions. However, it is not financial advice but rather an analytical tool to incorporate into your trading strategy.
VWAP (Enhanced)Structured VWAP Enhanced
A dynamic, multi-functional VWAP indicator designed to help traders visualize key support and resistance levels during the trading session. This indicator computes the Volume Weighted Average Price (VWAP) along with two structured bands derived from customizable multipliers based on either standard deviation or percentage. In addition, it offers the following features:
Dual Bands: Displays two bands (Band #1 and Band #2) that adapt to market volatility, each with its own customizable multiplier.
Dynamic Midlines: Plots both the original midlines (the center of each band) and enhanced midlines between the VWAP and each band edge for clearer visual cues.
Fixed Offset Bands: Includes offset lines set at a fixed 0.25% above and below the VWAP and each band level to help highlight near-term price targets.
Custom VWAP Anchoring: Supports various anchoring periods (Session, Week, Month, etc.) and special events (Earnings, Dividends, Splits) to reset VWAP calculations, making it adaptable to different trading styles.
Visual Customization: Easily toggle the display of each component (bands, midlines, enhanced midlines, and offset lines) to suit your analysis needs.
Whether you are an intraday trader or a longer-term market participant, Structured VWAP Enhanced provides a robust framework to identify price imbalances and potential turning points throughout your trading day.
Add this indicator to your chart for a comprehensive view of VWAP dynamics and structured market levels.
MMAPMarket Maker Aggression & Panic
Here's how it works:
Bollinger Bands: The script calculates and plots the Bollinger Bands, which helps you identify potential aggressive buying or panic selling when the price breaks above or below the bands.
Volume Analysis: It checks for volume spikes compared to the average volume over a specified period. If the volume exceeds a defined threshold, the background color changes to orange, indicating a potential market maker reaction.
Alerts: Alerts are set for volume spikes, aggressive buying (when the price breaks above the upper Bollinger Band), and panic selling (when it drops below the lower Bollinger Band).
Feel free to customize the parameters to fit your trading style!
Trend Tracker ProTrend Tracker Pro - Advanced Trend Following Indicator
Overview
Trend Tracker Pro is a sophisticated trend-following indicator that combines the power of Exponential Moving Average (EMA) and Average True Range (ATR) to identify market trends and generate precise buy/sell signals. This indicator is designed to help traders capture trending moves while filtering out market noise.
🎯 Key Features
✅ Dynamic Trend Detection
Uses EMA and ATR-based bands to identify trend direction
Automatically adjusts to market volatility
Clear visual trend line that changes color based on market direction
✅ Precise Signal Generation
Buy signals when trend changes to bullish
Sell signals when trend changes to bearish
Reduces false signals by requiring actual trend changes
✅ Visual Clarity
Green trend line: Bullish trend
Red trend line: Bearish trend
Gray trend line: Sideways/neutral trend
Triangle arrows for buy/sell signals
Clear BUY/SELL text labels
✅ Customizable Settings
Trend Length: Adjustable period for EMA and ATR calculation (default: 14)
ATR Multiplier: Controls sensitivity of trend bands (default: 2.0)
Show/Hide Signals: Toggle signal arrows on/off
Show/Hide Labels: Toggle text labels on/off
✅ Built-in Information Panel
Real-time trend direction display
Current trend level value
ATR value for volatility reference
Last signal information
✅ TradingView Alerts
Buy signal alerts
Sell signal alerts
Customizable alert messages
🔧 How It Works
Algorithm Logic:
1.
Calculate EMA: Uses exponential moving average for trend baseline
2.
Calculate ATR: Measures market volatility
3.
Create Bands: Upper band = EMA + (ATR × Multiplier), Lower band = EMA - (ATR × Multiplier)
4.
Determine Trend:
Price above upper band → Bullish trend (trend line = lower band)
Price below lower band → Bearish trend (trend line = upper band)
Price between bands → Continue previous trend
5.
Generate Signals: Signal occurs when trend direction changes
📊 Best Use Cases
✅ Trending Markets
Excellent for capturing strong directional moves
Works well in both bull and bear markets
Ideal for swing trading and position trading
✅ Multiple Timeframes
Effective on all timeframes from 15 minutes to daily
Higher timeframes provide more reliable signals
Can be used for both scalping and long-term investing
✅ Various Asset Classes
Stocks, Forex, Cryptocurrencies, Commodities
Particularly effective in volatile markets
Adapts automatically to different volatility levels
⚙️ Recommended Settings
Conservative Trading (Lower Risk)
Trend Length: 20
ATR Multiplier: 2.5
Best for: Long-term positions, lower frequency signals
Balanced Trading (Default)
Trend Length: 14
ATR Multiplier: 2.0
Best for: Swing trading, moderate frequency signals
Aggressive Trading (Higher Risk)
Trend Length: 10
ATR Multiplier: 1.5
Best for: Day trading, higher frequency signals
🎨 Visual Elements
Trend Line: Main indicator line that follows the trend
Signal Arrows: Triangle shapes indicating buy/sell points
Text Labels: Clear "BUY" and "SELL" text markers
Information Table: Real-time status panel in top-right corner
Color Coding: Intuitive green/red color scheme
⚠️ Important Notes
Risk Management
Always use proper position sizing
Set stop-losses based on ATR values
Consider market conditions and volatility
Not recommended for ranging/sideways markets
Signal Confirmation
Consider using with other indicators for confirmation
Pay attention to volume and market structure
Be aware of major news events and market sessions
Backtesting Recommended
Test the indicator on historical data
Optimize parameters for your specific trading style
Consider transaction costs in your analysis
Mean Reversion Indictor, Based on Standard Deviations Description:
The Reversal Candle Mean Reversion Indicator is designed for traders seeking to identify potential reversal points in the market based on key price action and volatility. This indicator combines price action analysis (sweeping prior highs or lows) with mean reversion theory, highlighting opportunities where the price tests or touches a moving average's standard deviation bands.
By focusing on these moments of price extremes, the indicator helps traders spot bullish and bearish reversal signals when the price retraces from volatile movements. These conditions often signal a return to the mean—an ideal setup for reversal traders who thrive on fading exaggerated price moves.
How It Works:
1. Price Action Reversal Signal:
* Bullish Reversal: The indicator flags a bullish signal when the current candle's low sweeps the prior candle's low, and the candle closes higher than the prior candle's close.
* Bearish Reversal: The indicator flags a bearish signal when the current candle's high sweeps the prior candle's high, and the candle closes lower than the prior candle's close.
2. Mean Reversion Confirmation:
* Mean Reversion Signal is triggered when the price touches or tests the upper or lower bands, calculated using a user-selected moving average (SMA, EMA, WMA, VWMA, or Hull MA) and standard deviation.
* The indicator combines price action and volatility, providing stronger reversal signals when the price reaches an extreme distance from the moving average.
3. Customization Options:
* Moving Average Type: Choose from SMA, EMA, WMA, VWMA, or Hull MA.
* Moving Average Length: Adjust the length of the moving average (default: 20).
* Standard Deviation Multiplier: Set the number of standard deviations for the volatility bands (default: 2.0).
* Custom Candle Colors: Choose custom colors for bullish and bearish reversal candles to easily spot signals.
How to Use for Trading Reversals:
1. Identify Extremes:
* Watch for candles where the price tests or touches the standard deviation bands. These are key moments when the price has moved significantly from the moving average, indicating a potential overbought or oversold condition.
2. Look for Reversals:
* When the price tests a band and simultaneously forms a bullish reversal pattern (sweeping the prior low and closing higher), it signals a potential mean reversion to the upside.
* When the price tests a band and forms a bearish reversal pattern (sweeping the prior high and closing lower), it signals a potential mean reversion to the downside.
3. Entry Points:
* Long Trades: Enter a long trade after a bullish signal appears (green candle) near the lower band, indicating a likely price reversal back towards the mean.
* Short Trades: Enter a short trade after a bearish signal appears (red candle) near the upper band, indicating a likely price pullback.
4. Exit Strategy:
* Set a profit target at the moving average (the mean) or a specific price level based on your strategy.
* Consider using a trailing stop to capture additional profit in case of a stronger reversal beyond the mean.
5. Risk Management:
* Place stops just below the low of the bullish reversal candle or just above the high of the bearish reversal candle to manage risk efficiently.
Keltner Channel Based Grid Strategy # KC Grid Strategy - Keltner Channel Based Grid Trading System
## Strategy Overview
KC Grid Strategy is an innovative grid trading system that combines the power of Keltner Channels with dynamic position sizing to create a mean-reversion trading approach. This strategy automatically adjusts position sizes based on price deviation from the Keltner Channel center line, implementing a systematic grid-based approach that capitalizes on market volatility and price oscillations.
## Core Principles
### Keltner Channel Foundation
The strategy builds upon the Keltner Channel indicator, which consists of:
- **Center Line**: Moving average (EMA or SMA) of the price
- **Upper Band**: Center line + (ATR/TR/Range × Multiplier)
- **Lower Band**: Center line - (ATR/TR/Range × Multiplier)
### Grid Trading Logic
The strategy implements a sophisticated grid system where:
1. **Position Direction**: Inversely correlated to price position within the channel
- When price is above center line → Short positions
- When price is below center line → Long positions
2. **Position Size**: Proportional to distance from center line
- Greater deviation = Larger position size
3. **Grid Activation**: Positions are adjusted only when the difference exceeds a predefined grid threshold
### Mathematical Foundation
The core calculation uses the KC Rate formula:
```
kcRate = (close - ma) / bandWidth
targetPosition = kcRate × maxAmount × (-1)
```
This creates a mean-reversion system where positions increase as price moves further from the mean, expecting eventual return to equilibrium.
## Parameter Guide
### Time Range Settings
- **Start Date**: Beginning of strategy execution period
- **End Date**: End of strategy execution period
### Core Parameters
1. **Number of Grids (NumGrid)**: Default 12
- Controls grid sensitivity and position adjustment frequency
- Higher values = More frequent but smaller adjustments
- Lower values = Less frequent but larger adjustments
2. **Length**: Default 10
- Period for moving average and volatility calculations
- Shorter periods = More responsive to recent price action
- Longer periods = Smoother, less noisy signals
3. **Grid Coefficient (kcRateMult)**: Default 1.33
- Multiplier for channel width calculation
- Higher values = Wider channels, less frequent trades
- Lower values = Narrower channels, more frequent trades
4. **Source**: Default Close
- Price source for calculations (Close, Open, High, Low, etc.)
- Close price typically provides most reliable signals
5. **Use Exponential MA**: Default True
- True = Uses EMA (more responsive to recent prices)
- False = Uses SMA (equal weight to all periods)
6. **Bands Style**: Default "Average True Range"
- **Average True Range**: Smoothed volatility measure (recommended)
- **True Range**: Current bar's volatility only
- **Range**: Simple high-low difference
## How to Use
### Setup Instructions
1. **Apply to Chart**: Add the strategy to your desired timeframe and instrument
2. **Configure Parameters**: Adjust settings based on market characteristics:
- Volatile markets: Increase Grid Coefficient, reduce Number of Grids
- Stable markets: Decrease Grid Coefficient, increase Number of Grids
3. **Set Time Range**: Define your backtesting or live trading period
4. **Monitor Performance**: Watch strategy performance metrics and adjust as needed
### Optimal Market Conditions
- **Range-bound markets**: Strategy performs best in sideways trending markets
- **High volatility**: Benefits from frequent price oscillations around the mean
- **Liquid instruments**: Ensures efficient order execution and minimal slippage
### Position Management
The strategy automatically:
- Calculates optimal position sizes based on account equity
- Adjusts positions incrementally as price moves through grid levels
- Maintains risk control through maximum position limits
- Executes trades only during specified time periods
## Risk Warnings
### ⚠️ Important Risk Considerations
1. **Trending Market Risk**:
- Strategy may underperform or generate losses in strong trending markets
- Mean-reversion assumption may fail during sustained directional moves
- Consider market regime analysis before deployment
2. **Leverage and Position Size Risk**:
- Strategy uses pyramiding (up to 20 positions)
- Large positions may accumulate during extended moves
- Monitor account equity and margin requirements closely
3. **Volatility Risk**:
- Sudden volatility spikes may trigger multiple rapid position adjustments
- Consider volatility filters during high-impact news events
- Backtest across different volatility regimes
4. **Execution Risk**:
- Strategy calculates on every tick (calc_on_every_tick = true)
- May generate frequent orders in volatile conditions
- Ensure adequate execution infrastructure and consider transaction costs
5. **Parameter Sensitivity**:
- Performance highly dependent on parameter optimization
- Over-optimization may lead to curve-fitting
- Regular parameter review and adjustment may be necessary
## Suitable Scenarios
### Ideal Market Conditions
- **Sideways/Range-bound markets**: Primary use case
- **Mean-reverting instruments**: Forex pairs, some commodities
- **Stable volatility environments**: Consistent ATR patterns
- **Liquid markets**: Major currency pairs, popular stocks/indices
## Important Notes
### Strategy Limitations
1. **No Stop Loss**: Strategy relies on mean reversion without traditional stop losses
2. **Capital Requirements**: Requires sufficient capital for grid-based position sizing
3. **Market Regime Dependency**: Performance varies significantly across different market conditions
## Disclaimer
This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly test the strategy and understand its mechanics before risking real capital. The author assumes no responsibility for trading losses incurred through the use of this strategy.
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# KC网格策略 - 基于肯特纳通道的网格交易系统
## 策略概述
KC网格策略是一个创新的网格交易系统，它将肯特纳通道的力量与动态仓位调整相结合，创建了一个均值回归交易方法。该策略根据价格偏离肯特纳通道中心线的程度自动调整仓位大小，实施系统化的网格方法，利用市场波动和价格振荡获利。
## 核心原理
### 肯特纳通道基础
该策略建立在肯特纳通道指标之上，包含：
- **中心线**: 价格的移动平均线（EMA或SMA）
- **上轨**: 中心线 + (ATR/TR/Range × 乘数)
- **下轨**: 中心线 - (ATR/TR/Range × 乘数)
### 网格交易逻辑
该策略实施复杂的网格系统：
1. **仓位方向**: 与价格在通道中的位置呈反向关系
- 当价格高于中心线时 → 空头仓位
- 当价格低于中心线时 → 多头仓位
2. **仓位大小**: 与距离中心线的距离成正比
- 偏离越大 = 仓位越大
3. **网格激活**: 只有当差异超过预定义的网格阈值时才调整仓位
### 数学基础
核心计算使用KC比率公式：
```
kcRate = (close - ma) / bandWidth
targetPosition = kcRate × maxAmount × (-1)
```
这创建了一个均值回归系统，当价格偏离均值越远时仓位越大，期望最终回归均衡。
## 参数说明
### 时间范围设置
- **开始日期**: 策略执行期间的开始时间
- **结束日期**: 策略执行期间的结束时间
### 核心参数
1. **网格数量 (NumGrid)**: 默认12
- 控制网格敏感度和仓位调整频率
- 较高值 = 更频繁但较小的调整
- 较低值 = 较少频繁但较大的调整
2. **长度**: 默认10
- 移动平均线和波动率计算的周期
- 较短周期 = 对近期价格行为更敏感
- 较长周期 = 更平滑，噪音更少的信号
3. **网格系数 (kcRateMult)**: 默认1.33
- 通道宽度计算的乘数
- 较高值 = 更宽的通道，较少频繁的交易
- 较低值 = 更窄的通道，更频繁的交易
4. **数据源**: 默认收盘价
- 计算的价格来源（收盘价、开盘价、最高价、最低价等）
- 收盘价通常提供最可靠的信号
5. **使用指数移动平均**: 默认True
- True = 使用EMA（对近期价格更敏感）
- False = 使用SMA（对所有周期等权重）
6. **通道样式**: 默认"平均真实范围"
- **平均真实范围**: 平滑的波动率测量（推荐）
- **真实范围**: 仅当前K线的波动率
- **范围**: 简单的高低价差
## 使用方法
### 设置说明
1. **应用到图表**: 将策略添加到您所需的时间框架和交易品种
2. **配置参数**: 根据市场特征调整设置：
- 波动市场：增加网格系数，减少网格数量
- 稳定市场：减少网格系数，增加网格数量
3. **设置时间范围**: 定义您的回测或实盘交易期间
4. **监控表现**: 观察策略表现指标并根据需要调整
### 最佳市场条件
- **区间震荡市场**: 策略在横盘趋势市场中表现最佳
- **高波动性**: 受益于围绕均值的频繁价格振荡
- **流动性强的品种**: 确保高效的订单执行和最小滑点
### 仓位管理
策略自动：
- 根据账户权益计算最优仓位大小
- 随着价格在网格水平移动逐步调整仓位
- 通过最大仓位限制维持风险控制
- 仅在指定时间段内执行交易
## 风险警示
### ⚠️ 重要风险考虑
1. **趋势市场风险**:
- 策略在强趋势市场中可能表现不佳或产生损失
- 在持续方向性移动期间均值回归假设可能失效
- 部署前考虑市场制度分析
2. **杠杆和仓位大小风险**:
- 策略使用金字塔加仓（最多20个仓位）
- 在延长移动期间可能积累大仓位
- 密切监控账户权益和保证金要求
3. **波动性风险**:
- 突然的波动性激增可能触发多次快速仓位调整
- 在高影响新闻事件期间考虑波动性过滤器
- 在不同波动性制度下进行回测
4. **执行风险**:
- 策略在每个tick上计算（calc_on_every_tick = true）
- 在波动条件下可能产生频繁订单
- 确保充足的执行基础设施并考虑交易成本
5. **参数敏感性**:
- 表现高度依赖于参数优化
- 过度优化可能导致曲线拟合
- 可能需要定期参数审查和调整
## 适用场景
### 理想市场条件
- **横盘/区间震荡市场**: 主要用例
- **均值回归品种**: 外汇对，某些商品
- **稳定波动性环境**: 一致的ATR模式
- **流动性市场**: 主要货币对，热门股票/指数
## 注意事项
### 策略限制
1. **无止损**: 策略依赖均值回归而无传统止损
2. **资金要求**: 需要充足资金进行基于网格的仓位调整
3. **市场制度依赖性**: 在不同市场条件下表现差异显著
## 免责声明
该策略仅供教育和研究目的。过往表现不保证未来结果。交易涉及重大损失风险，并非适合所有投资者。用户应在投入真实资金前彻底测试策略并理解其机制。作者对使用此策略产生的交易损失不承担任何责任。
---
**Strategy Version**: Pine Script v6
**Author**: Signal2Trade
**Last Updated**: 2025-8-9
**License**: Open Source (Mozilla Public License 2.0)
DS Gurukul RoundupRoundup (Support & Resistance Indicator) For Bank Nifty
By DS Gurukul
To be used only for Bank Nifty.
Indicator Overview
The Round Figure Indicator identifies key psychological support and resistance levels based on round numbers. These levels often act as strong turning points in price action due to trader psychology and institutional order placement.
How It Works
Key Levels:
Mid Band (Black Solid Line): Major round number
Upper Band (Green Solid Line): Mid Band (resistance)
Lower Band (Red Solid Line): Mid Band (support)
Sub-Bands (Dotted Lines): ±100 levels for tighter zones
Alerts: Triggers when price touches any band, signaling potential reversals or breakouts.
Trading Strategy
✅ Bounce Trades:
Buy near Lower Band or Mid Sub-Lower with bullish confirmation (e.g., hammer candle).
Sell near Upper Band or Mid Sub-Upper with bearish rejection (e.g., shooting star).
✅ Breakout Trades:
Enter long on a close above Upper Band with volume.
Enter short on a close below Lower Band with momentum.
⚠️ Risk Management:
Place stops just beyond the opposite sub-band.
Avoid trading if price is stuck between mid/sub-bands (choppy market).
Why It Works
Round numbers attract limit orders (support/resistance).
Institutions use these levels for stop placements and profit targets.
Works across all timeframes (scalping to swing trading).
🔔 Tip: Combine with RSI/MACD for higher-probability trades!
OTT CollectionIf you are not yet familiar with OTT, this script could provide an introduction to help you get started.
"Optimized Trend Tracker" (OTT) is an effective trend-following indicator created by Anıl Özekşi . It aims to detect the current trend direction based on an elegant mathematical construct. The key defining characteristic of OTT is its reliance on a trailing-stop mechanism. This enables OTT to identify price movements and follow the price until a reversal occurs. The widespread adoption of OTT in various algo-trading platforms has fostered the development of diverse applications of the indicator over time. Examining its history, eight distinct applications emerge.
1) OTT - Optimized Trend Tracker
2) TOTT - Twin Ott
3) OTT Channel - Half Channel & Fibonacci Channel
4) RISOTTO - Rsi Ott
5) SOTT - Stochastic Ott
6) HOTT & LOTT - Highest-Lowest Ott + Sum Option
7) ROTT - Relative Ott
8) FT - "Fırsatçı" Trend
BONUS: RTR - Relative True Range
Each system functions as an independent indicator and the "OTT Collection" is intended to present all of them in a single script.
ORIGINALITY
Primarily, this script introduces previously unreleased OTT applications on Tradingview (RISOTTO, ROTT, FT). In contrast to previously published examples that treat OTT as a variable, this script portrays OTT as a function, rendering it adaptable for more intricate computations. Consequently, OTT has evolved into a versatile tool capable of facilitating complex analyses. Furthermore, this script offers an innovative feature that permits the blocking of consecutive signals in the same direction, catering to user preferences. (This feature is crucial for all indicators utilizing band structures such as TOTT and HOTT-LOTT).
USAGE
It is simple to use. The settings section of the indicator groups the parameters. In first group, the System parameter allows you to select the OTT system you want to display on the chart. Activating the Pyramiding parameter enables the display of consecutive signals in the same direction (for TOTT and HOTT-LOTT). In the second group you can change the display options with the Barcolor, Signal and Bars parameters. The OTT system you select is configured with the parameters in the group with the corresponding system heading. (For example, suppose you select OTT CHANNEL in the system parameter. The parameters defining the channels are grouped under the heading "OTT CHANNELS" in the settings section.) Also the parameters you chose are displayed in table form on the chart screen. The table also presents the total number of bars on the chart and the number of signals generated by the selected system.
MECHANICS
Let's take a look at how the indicator works. This indicator incorporates eight distinct OTT systems, each characterized by unique parameters, lines, and signals. (Exception: OTT Channel does not include any referenced signals.)
1) WHAT IS "OTT"?
OTT comprises two lines: Support and Target. There's an up-trending market when the Support is superior to the Target, and a down-trending market when the Support is inferior to the Target. It is governed by two parameters. The Support (moving average) is determined by the Length parameter, while the Multiplier parameter is employed for percentage calculations. Lower values are adept at capturing short-term fluctuations, whereas higher values are more adept at identifying long-term trends. These principles apply to all parameters within the indicator.
DETAILED INFO : The OTT function in the script automatically performs the calculation process described in this section. So, if you know how OTT works you can skip the details. To comprehend its functioning, it's essential to grasp the "MOST" indicator, also devised by Anıl Özekşi. The fundamental principle of MOST involves creating bands that function akin to a trailing stop-loss. Initially, a moving average, referred to as the 'Support,' is established. (Anıl Özekşi employs VAR/VIDYA as the moving average type in all his systems.) Subsequently, the Support line is adjusted both upward and downward by a percentage multiplier to establish a band system. In the context of the trailing stop-loss concept, when the Support line approaches either the lower or upper band, the respective band ceases to move in parallel with the Support line and becomes horizontal. Consequently, the Support always intersects the band at some point. The values of the upper or lower bands, determined by this intersection, are referred to as the MOST line. OTT is generated by consolidating the values of MOST shifted upwards and downwards by half the coefficient percentage into a single line using the same method as above, and calculating the value of this line from two bars ago. Support is the data series of OTT and it serves as a source in OTT function. The OTT line is named as "Target" in this scipt. Support and Target will automatically vary according to the OTT application selected in the "System" parameter.
2) WHAT IS "TOTT"?
Twin OTT , also known as the "OTT Band," involves three parameters: Length, Multiplier, and Band Multiplier. It consists of three lines: Support, Upper Line, and Lower Line. OTT is determined by the Length and Multiplier parameters, while TOTT is calculated by adjusting OTT upwards and downwards as per the Band Multiplier parameter. The indicator generates signals based on the intersections of the Support and these two new OTT levels.
3) WHAT IS "OTT CHANNEL"?
Similar to TOTT, the OTT CHANNEL is also based on shifted OTT levels, employing a similar calculation method. The primary distinction lies in the fact that TOTT has a single Band Multiplier, whereas OTT CHANNEL incorporates two line multipliers for the band. It encompasses four parameters: Length, Multiplier, Upper Line Multiplier, and Lower Line Multiplier. OTT is defined by the Length and Multiplier parameters. The Upper Line Multiplier and Lower Line Multiplier parameters establish the channel boundaries by shifting the OTT line. Subsequently, levels are drawn between the upper and lower lines. The additional Channel Type parameter determines which levels are displayed on the chart. The "Half Channel" option draws channels shifted by half the coefficient. The "Fibonacci Channel" option draws channels shifted by 0.382 and 0.618 coefficients. The "Both" option plots all levels.
4) WHAT IS "RISOTTO"?
OTT also has application examples in momentum oscillators. RISOTTO utilizes the RSI indicator and operates with three parameters. The RSI is defined by the Length 1 parameter, while the Support is determined by the Length 2 parameter. The Multiplier parameter is utilized for percentage calculations. RISOTTO comprises two lines: Support and Target. To ensure more stable calculations, a constant (+1000) is added to the oscillator average when applying OTT to momentum oscillators. This approach eradicates nonsensical results stemming from percentage calculations when the oscillator reaches a value of 0. The indicator generates signals based on the intersection of these two lines.
5) WHAT IS "SOTT"?
Stochastic OTT is an another example of application on oscillator. Its working principle is akin to that of RISOTTO. It operates with three parameters. The Stochastic %k is defined by the Length 1 parameter, while the Stochastic %d is determined by the Length 2 parameter. The Multiplier parameter is utilized for percentage calculations. SOTT comprises two lines: Support and Target. The indicator generates signals based on the intersection of these two lines.
6) WHAT IS "HOTT-LOTT"?
OTT can be applied to the highest and lowest series as well. HOTT-LOTT operates with three parameters: Length, Multiplier, and Sum N Bars. The highest and lowest series are defined by the Length parameter. The Multiplier parameter is utilized for percentage calculations. It encompasses two lines: Upper Line and Lower Line, where HOTT employs the highest series and LOTT uses the lowest series. If the 'High' price surpasses HOTT, the indicator generates Long signals. Similarly, if the 'Low' price falls below LOTT, the indicator generates Short signals. When the Sum N Bars option is activated, signals are generated based on the confirmation concept for N bars.
7) WHAT IS "ROTT"?
Relative OTT serves as a valuable tool for long-period filters. ROTT operates with two parameters. The Support is determined by the length parameter and equals twice the moving average. The Multiplier parameter is utilized for percentage calculations. The indicator generates signals based on the intersection of these two lines.
8) WHAT IS "FT"?
"Fırsatçı" (opportunistic) Trend is a system that revolves around two levels, namely major and minor OTT. It operates with three parameters: Length, Major Multiplier, and Minor Multiplier. FT comprises two lines, Support and Target. The indicator generates signals based on the intersection of these two lines.
9) WHAT IS "RTR"?
Relative True Range is not an OTT system; however, it serves as a complementary feature. It does not have any referenced signals. RTR is devised to obtain a normalized result of the current market volatility. It operates with two parameters: ATR, which is determined by the Length 1 parameter, and RTR, defined by the Length 2 parameter.
A TIP
If any indicator is defined in function form instead of the OTT function, the applications can also be adapted for different indicators. E.g. Supertrend, PMAX, AlphaTrend, etc.
UPDATE
Anıl Özekşi is a competent algotrader who shares his work with open sources. I will update the indicator as new applications are released.
DISCLEIMER
This is just an indicator, nothing more. The script is for informational and educational purposes only. The use of the script does not constitute professional and/or financial advice. The responsibility for risks associated with the use of the script is solely owned by the user. Do not forget to manage your risk. And trade as safely as possible. Good luck!
SuperTrend Adaptive (STD Smooth)Supertrend Adaptive (Smoothed StdDev)
Supertrend Adaptive is a refined trend-following indicator based on the classic Supertrend. It enhances the original by incorporating smoothed standard deviation into the volatility calculation, instead of relying solely on ATR. This hybrid approach enables more responsive and adaptive trend detection, reducing noise and false signals in volatile or ranging markets. The indicator also features confidence-weighted signal labels and a clean, uncluttered display, making it practical for any trading timeframe.
🔍 Detailed Methodology and Conceptual Foundation
Unlike traditional Supertrend indicators that use only absolute volatility (ATR) to define trend bands, this version blends standard deviation — a relative volatility measure — into the calculation. Standard deviation helps capture the dispersion of price, not just its range, and when smoothed, it filters out erratic jumps caused by sudden spikes or drops.
This fusion creates trend bands that expand and contract dynamically based on recent price variability. As a result:
Fewer whipsaws : The trend bands adjust to both low and high volatility environments, which helps avoid unnecessary signal flips during consolidation.
Stronger trend adherence : Signals are less reactive to momentary price movements. This allows the indicator to hold positions longer in trending markets, giving traders the opportunity to ride extended moves.
Bollinger Band-style adaptation : By including standard deviation, this indicator behaves similarly to Bollinger Bands — accounting for relative price change rather than absolute moves alone.
These enhancements make the tool suitable not only for identifying directional bias, but also for refining entries and exits with more context-aware volatility filtering.
📈 How to Use the Indicator
Trend Direction: The script draws a colored line beneath (uptrend) or above (downtrend) price. Green indicates bullish trend, red indicates bearish.
Buy/Sell Labels: Only the most recent signal is shown to reduce clutter:
🟢 Green "Buy" label = trend reversal to bullish, with strong confidence.
🔵 Blue "Buy" label = same reversal, but with lower volume confidence.
🔴 Red "Sell" label = trend reversal to bearish, with strong confidence.
🟠 Orange "Sell" label = bearish signal with lower volume confidence.
These color codes are derived from comparing current volume to its average — a higher-than-average volume gives greater confidence to the signal.
Settings:
ATR Period: Controls the smoothing window for volatility calculation.
ATR Multiplier: Adjusts the size of the trend bands.
Std Smooth: Controls smoothing applied to standard deviation to reduce jitter.
Change ATR Method: Option to toggle between default and smoothed ATR.
Show Signals: Toggle for label display.
📢 Alerts
The script includes three built-in alert conditions:
Buy Signal: Triggered when the trend flips to bullish.
Sell Signal: Triggered when the trend flips to bearish.
Trend Direction Change: Alerts on any switch in trend regardless of confidence level.
These alerts allow traders to automate notifications or integrations with bots or trading platforms.
🧼 Clean Chart Display
To ensure clarity and comply with best practices:
The chart shows only this indicator.
Trend lines are drawn in real time for visual context.
Only one label per direction is shown — the most recent one — to keep the chart readable.
No drawings or unrelated indicators are included.
This setup ensures the script’s signals and structure are immediately understandable at a glance.
📌 Best Use Cases
This tool is designed for:
Traders who want adaptive volatility filters instead of rigid ATR-based models.
Scalpers and swing traders who prefer clean charts with minimal lag and fewer false signals.
Any asset class — works well on crypto, FX, and equities.
Shortcoming of this tool is sideway price action (will be tackled in next versions).
Credit for www.tradingview.com the version which this script extends.
20-34 Dual Dot Alerts OnlyPine Script that uses dual Donchian Channels (20-period and 34-period) and places tiny blue dots above candles when the highest price touches any upper Donchian Channel and below candles when the lowest price touches any lower Donchian Channel, without displaying the channels themselves, you can use the code.
### Explanation of the Code:
1. **Indicator Declaration**: The script is named "Dual Donchian Channels Dots Only" and overlays on the price chart.
2. **Input for Lengths**: Users can set lengths for two Donchian Channels (20 and 34 periods).
3. **Calculating Bands**: The upper and lower bands are calculated using `ta.highest` and `ta.lowest` functions over the specified periods.
4. **Touch Conditions**:
- `upperTouch`: Checks if the highest price of the current candle touches either of the upper bands.
- `lowerTouch`: Checks if the lowest price of the current candle touches either of the lower bands.
5. **Plotting Dots**:
- A tiny blue dot is plotted above bars where `upperTouch` is true.
- A tiny blue dot is plotted below bars where `lowerTouch` is true.
### How to Use:
1. Copy this script into TradingView’s Pine Script editor.
2. Save it and add it to your chart.
3. You will see tiny blue dots appear above or below candles based on whether they touch any of the upper or lower Donchian Bands.
This setup provides a clear visual indication of price interactions with both Donchian Channels while keeping the chart uncluttered by hiding the channel lines.
