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.
Tìm kiếm tập lệnh với "bands"
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.
[EmreKB] BB Trend MagicThe BB Magic indicator is a trend-following tool that operates similarly to the Trend Magic indicator but uses the upper and lower values of Bollinger Bands. It works by dynamically adjusting its reference point based on the price's relationship with the Bollinger Bands.
Initially, the indicator uses the Bollinger Bands' lower value (BB Lower) as its reference. If the price reaches a higher BB Lower value, the BB Magic value is updated to this new BB Lower. This process continues as long as the price remains above the BB Magic value.
However, if the price closes below the BB Magic value, the reference point switches to the Bollinger Bands' upper value (BB Upper). In this case, the BB Magic value is updated to the new BB Upper value if the price creates a lower BB Upper. This mechanism helps capture downtrends effectively.
Whenever the price crosses above the BB Magic value again, the reference point switches back to BB Lower, and the cycle repeats. This approach allows the BB Magic indicator to adapt to price movements and trend changes more accurately, providing a reliable tool for traders to analyze market trends and make informed decisions.
Feel free to share your experiences and feedback on using the BB Magic indicator.
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
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.
Bollinger Band StrategyDescription of the Bollinger Band Breakout Strategy
This trading strategy, credited to Siddhart Bhanushali, is a momentum-based approach that uses Bollinger Bands and a 22-period Simple Moving Average (SMA) to identify high-probability breakout trades. It focuses on detecting periods of low volatility (contraction) followed by high volatility (expansion) to enter trades with a favorable risk-reward ratio. The strategy is designed to capture significant price movements in trending markets, with clear rules for entry, stop loss, and profit targets.
Strategy Overview
The strategy generates buy and sell signals based on specific conditions involving the 22-period SMA and Bollinger Bands. It aims to enter trades when the price breaks out of a consolidation phase, confirmed by the direction of the SMA and the behavior of a green or red candle relative to the Bollinger Bands. The minimum target for each trade is a 1:2 risk-reward ratio.
Credit
This strategy is credited to Siddhart Bhanushali, who designed it to leverage Bollinger Band breakouts in trending markets, providing a clear and systematic approach to trading with defined risk-reward parameters.
Session VWAP & ATR H/L ZonesThis script is a comprehensive tool for day traders, designed to visualize key price levels and zones based on volume and volatility within a specific trading session.
Traders would use your script to identify potential areas of support and resistance, gauge the session's trend, and spot opportunities for mean reversion or breakout trades.
Core Concepts Explained
Your script plots three main types of information on the chart, each serving a different purpose for a trader.
1. Session VWAP (Volume-Weighted Average Price) 📈
What it is: The yellow line is the VWAP, which is the average price of an asset for the current trading session, weighted by the volume traded at each price level. It essentially shows the "fair" price for the day according to the market's activity.
How it's used:
Trend Gauge: If the price is consistently trading above the VWAP, it's generally considered a bullish intraday trend. If it's below, the trend is bearish.
Dynamic Support/Resistance: During a trend, traders often look for the price to pull back to the VWAP to find an entry point (e.g., buying a dip to the VWAP in an uptrend).
VWAP Bands: The optional gray, red, and green bands are standard deviations from the VWAP. They measure how far the price has strayed from its "fair value."
2. ATR High/Low Zones (Support & Resistance) 🎯
What they are: These are the shaded green and red areas at the top and bottom of the session's price range.
The red zone (resistance) is calculated by taking the session's current high and subtracting a value based on the Average True Range (ATR), which is a measure of recent volatility.
The green zone (support) is calculated by taking the session's current low and adding the ATR-based value.
How they're used: These are not just lines; they are zones of interest.
Profit-Taking Areas: A trader who is long might consider taking profits when the price enters the red resistance zone.
Reversal Signals: When the price enters one of these zones and shows signs of stalling (e.g., with specific candlestick patterns), it could signal a potential reversal.
3. Previous Session High & Low 📊
What they are: The script plots the high and low from the previous trading session as straight horizontal lines (teal and fuchsia by default).
How they're used: These are extremely significant static levels that many traders watch.
Price Magnets: Price is often drawn to these levels.
Key Inflection Points: A decisive break above the previous day's high can signal strong bullish momentum. Conversely, a failure to break it can indicate weakness. These levels frequently act as strong support or resistance.
Expected Intraday MovementThis indicator pretends to represent the "probable" maximum movement of an asset, for the rest of the day.
This indicator should be used "only" in intraday timeframe. You will not be able to see it if you select a longer timeframe.
To calculate the probable maximum movement, the indicator uses the VIX value for each minute.
On the first candle of the day, it also calculates the probable maximum movement for the whole day, and plots it in horizontal lines.
It also allows adding a couple of extra lines (for visual purposes only).
It also allows the creation of alerts, so that when the value of the asset is close to one of the limits, it can send you an alert using the Tradingview alert system.
Summary of parameters:
Intraday bands: allows you to show/hide the bands for each minute.
Intraday first candle projection: allows to show/hide the estimated projection from the first candle of the day.
Enable alert: allows to enable/disable alerts.
Upper and lower band offset: optional offset where alarms will be triggered (e.g. 10 points before the limit is reached).
Intraday Extra Projection: allows to show/hide extra levels (for visual purposes only)
Upper and lower extra: values for extra levels.
As always, no indicator is meant to provide a single, reliable strategy to your trading regimen and no indicator or group of indicators should be relied on solely. Be sure to do your own analysis and assessments of the stock prior to taking any trades.
Safe trades everyone!
BabyShark VWAP Strategy What the code does:
This Pine Script implements a trading strategy based on two indicators: Volume Weighted Average Price (VWAP) and On Balance Volume (OBV) Relative Strength Index (RSI). The strategy aims to identify potential buy and sell signals based on deviations from VWAP and OBV RSI crossing certain threshold levels.
How it does it:
**VWAP Calculation**: The script calculates the VWAP using either standard deviation or average deviation over a specified length. It then plots the VWAP and its upper and lower deviation bands.
**OBV RSI Calculation**: It computes the OBV and then calculates the RSI using the cumulative changes in OBV. The RSI is plotted and compared against predefined levels.
**Table Visibility and Occurrence Counting**: It allows the user to display a table showing the number of occurrences where the price is above Upper Dev 2, below Lower Dev 2, crosses above a higher RSI level, or crosses below a lower RSI level.
**Entries**: Long and short entry conditions are defined based on the position of the price relative to the VWAP deviation bands and the color of the OBV RSI. Entries are made when specific conditions are met, and there hasn't been a recent entry.
**Exit Conditions**: The script includes stop-loss and take-profit mechanisms. It exits positions based on price crossing the VWAP or a certain percentage, and it prevents further trading after a certain number of consecutive losses.
What traders can use it for:
**Trend Identification**: Traders can use the VWAP and its deviation bands to identify potential trend reversals or continuations.
**Volume Confirmation**: The inclusion of OBV RSI provides confirmation of price movements based on volume changes.
**Entry and Exit Signals**: The script generates buy and sell signals based on the specified conditions, allowing traders to enter and exit positions with defined stop-loss and take-profit levels.
**Statistical Analysis**: The visibility of occurrence counts in the table allows traders to perform statistical analysis on the frequency of price movements relative to the VWAP and OBV RSI levels.
arpit bollinger bandStrategy Overview:
This strategy utilizes Bollinger Bands based on a 20-period Exponential Moving Average (EMA) with a standard deviation multiplier of 1.5. It is designed to generate early trading signals based on the relationship between the price action and the Bollinger Bands.
Bollinger Bands Calculation:
The upper Bollinger Band is calculated as the 20-period EMA of the closing prices plus 1.5 times the standard deviation of the same period.
The lower Bollinger Band is calculated as the 20-period EMA of the closing prices minus 1.5 times the standard deviation.
Entry Criteria:
Buy Signal: A buy signal is generated when the current candle's high exceeds the high of the candle two periods ago, which had closed below the lower Bollinger Band. This condition implies an anticipation of a bullish reversal.
Sell Signal: A sell signal is generated when the current candle's low falls below the low of the candle two periods ago, which had closed above the upper Bollinger Band. This condition suggests an anticipated bearish reversal.
Stop Loss and Take Profit:
The stop loss for a buy order is set slightly below the low of the current candle, and for a sell order, it is set slightly above the high of the current candle.
The take profit level is determined based on a predefined risk-reward ratio of 1:3. This means the take profit target is set at a distance three times greater than the distance between the entry price and the stop loss.
Risk Management:
The strategy includes an input option to adjust the risk-reward ratio, allowing for flexibility in managing the trade's potential risk versus reward.
Trade Execution:
The strategy automatically plots the buy and sell signals on the chart and executes the trades according to the defined conditions. It also visually indicates the stop loss levels for each trade.
Usage Notes:
This strategy is designed for use in the TradingView platform using Pine Script version 5.
It is important to backtest and paper trade the strategy before using it in live trading to understand its performance characteristics and risk profile.
The strategy should be used as part of a comprehensive trading plan, considering market conditions, trader risk tolerance, and personal trading goals.
Pretty BollingersScheme shamelessly stolen from BORC. A pretty depiction of bollinger bands. Short basis plots from 5., 1, 2 (lines) deviations and then 2, 2.5, 3 (colored bands). Long basis plots only the basis, and 2, 2.5 and 3 bands (gray).
Advanced Donchian ChannelsJust an indicator I got ChatGPT to cook up for my own use, sharing it in case anyone else finds it useful. I have included a screenshot of my own settings as well for reference.
This indicator enhances the classic Donchian Channel with powerful contextual features to support modern breakout and volatility-based trading strategies.
🔹 Core Features:
Donchian Bands: Plots the highest high and lowest low over a configurable lookback period.
Dynamic Fill Shading:
- Color-coded based on the slope of the midline (Basis): Default settings are Green for uptrend, Red for downtrend, Silver for flat, Gray for narrow volatility.
- All fill colors are fully customizable.
Volatility Filter:
- Detects when the channel width is narrow using either a fixed value or a percentage of price.
- Optionally shades only during low-volatility (compression) periods.
Customizable Style:
- Adjustable opacity, offsets, and color settings to suit your charting style.
🛠 Use Cases:
- Spot potential breakout setups after periods of low volatility.
- Identify trend direction via basis slope shading.
- Combine with momentum or volume tools for high-probability entries.
Margen de confianzaIt uses two moving averages (20 and 80). Based on their crossovers, you draw parallel bands.
The zone between these bands signals “confidence.” A downside break warns of risk; an upside break suggests price could push to new highs.
Son 2 medias moviles. Una de 20 y otra de 80. Utilizando los cruces se puede trazar lineas paralelas.
En las zonas que quedan entre estas lineas hay "confianza". Si el precio atraviesa para abajo hay peligro y si atraviesa para arriba puede ir a romper maximos
Contrarian DC Strategy - w Entry SL Pause and TrailingStopDonchian Channel Setup:
The strategy uses a tool called the Donchian Channel. Imagine this as two lines (bands) on a chart that show the highest and lowest prices over a certain number of past trading days (default is 20 days).
There's also a centerline, which is the average of these two bands.
Entry Conditions for Trades:
Buying (Going Long): The strategy considers buying when the price touches or falls below the lower band of the Donchian Channel. However, this only happens if there has been a pause after a previous losing trade. This pause is a number of candles where no new trades are taken.
Selling (Going Short): Similarly, the strategy considers selling when price reaches or exceeds the upper band of the Donchian Channel. Again, this is subject to a pause after a losing trade.
Stop Loss and Take Profit:
Each trade has a "Stop Loss" and "Take Profit" set. The Stop Loss is a preset price level where the trade will close to prevent further losses if the market moves against your position. The Take Profit does the same but locks in profit if the market moves in your favor.
The Stop Loss is set based on a percentage of the price at which you entered the trade.
The Take Profit is determined by the Risk/Reward Ratio. This ratio helps balance how much you're willing to risk versus the potential reward.
Trailing Stop Loss:
When a trade is profitable, the strategy should involve a "Trailing Stop Loss." This means the Stop Loss level moves (or trails) the price movement to lock in profits as the market moves in your favor.
For a buy trade, if the price moves above the centerline of the Donchian Channel, the Trailing Stop Loss should be adjusted in the middle between the entry price and the centerline. Viceversa for a sell trade, it should be adjusted in the same way if the price goes below the centerline.
IMPORTANT: There's no allert for the trailing stop at the moment.
Post-Stop Loss Pause:
If a trade hits the Stop Loss (i.e., it's a losing trade), the strategy takes a break before opening another trade in the same direction. This pause helps to avoid entering another trade immediately in a potentially unfavorable market.
In summary, this strategy is designed to make trades based on the Donchian Channel, with specific rules for when to enter and exit trades, and mechanisms to manage risk and protect profits. It's contrarian because it tends to buy when the price is low and sell when the price is high, which is opposite to what many traders might do.
BBMA Enhanced Pro - Multi-Timeframe Band Breakout StrategyShort Title : BBMA Pro
Overview
The BBMA Enhanced Pro is a professional-grade trading indicator that builds on the Bollinger Bands Moving Average (BBMA) strategy, pioneered by Omar Ali , a Malaysian forex trader and educator. Combining Bollinger Bands with Weighted Moving Averages (WMA) , this indicator identifies high-probability breakout and reversal opportunities across multiple timeframes. With advanced features like multi-timeframe Extreme signal detection, eight professional visual themes, and a dual-mode dashboard, it’s designed for traders seeking precision in trending and consolidating markets. Optimized for dark chart backgrounds, it’s ideal for forex, stocks, and crypto trading.
History
The BBMA strategy was developed by Omar Ali (BBMA Oma Ally) in the early 2010s, gaining popularity in the forex trading community, particularly in Southeast Asia. Building on John Bollinger’s Bollinger Bands, Omar Ali integrated Weighted Moving Averages and a multi-timeframe approach to create a structured system for identifying reversals, breakouts, and extreme conditions. The BBMA Enhanced Pro refines this framework with modern features like real-time dashboards and customizable visualizations, making it accessible to both novice and experienced traders.
Key Features
Multi-Timeframe Extreme Signals : Detects Extreme signals (overbought/oversold conditions) on both current and higher timeframes simultaneously, a rare feature that enhances signal reliability through trend alignment.
Professional Visual Themes : Eight distinct themes (e.g., Neon Contrast, Fire Gradient) optimized for dark backgrounds.
Dual-Mode Dashboard : Choose between Full Professional (detailed metrics) or Simplified Trader (essential info with custom notes).
Bollinger Band Squeeze Detection : Identifies low volatility periods (narrow bands) signaling potential sideways markets or breakouts.
Confirmation Labels : Displays labels when current timeframe signals align with recent higher timeframe signals, highlighting potential consolidations or squeezes.
Timeframe Validation : Prevents selecting the same timeframe for current and higher timeframe analysis.
Customizable Visualization : Toggle signal dots, EMA 50, and confirmation labels for a clean chart experience.
How It Works
The BBMA Enhanced Pro combines Bollinger Bands (20-period SMA, ±2 standard deviations) with WMA (5 and 10 periods) to generate trade signals:
Buy Signal : WMA 5 Low crosses above the lower Bollinger Band, indicating a recovery from an oversold condition (Extreme buy).
Sell Signal : WMA 5 High crosses below the upper Bollinger Band, signaling a rejection from an overbought condition (Extreme sell).
Extreme Signals : Occur when prices or WMAs move significantly beyond the Bollinger Bands (±2σ), indicating statistically rare overextensions. These often coincide with Bollinger Band Squeezes (narrow bands, low standard deviation), signaling potential sideways markets or impending breakouts.
Multi-Timeframe Confirmation : The indicator’s unique strength is its ability to detect Extreme signals on both the current and higher timeframe (HTF) within the same chart. When the HTF generates an Extreme signal (e.g., buy), and the current timeframe follows with an identical signal, it suggests the lower timeframe is aligning with the HTF’s trend, increasing reliability. Labels appear only when this alignment occurs within a user-defined lookback period (default: 50 bars), highlighting periods of band contraction across timeframes.
Bollinger Band Squeeze : Narrow bands (low standard deviation) indicate reduced volatility, often preceding consolidation or breakouts. The indicator’s dashboard tracks band width, helping traders anticipate these phases.
Why Multi-Timeframe Extremes Matter
The BBMA Enhanced Pro’s multi-timeframe approach is rare and powerful. When the higher timeframe shows an Extreme signal followed by a similar signal on the current timeframe, it suggests the market is following the HTF’s trend or entering a consolidation phase. For example:
HTF Sideways First : If the HTF Bollinger Bands are shrinking (low volatility, low standard deviation), it signals a potential sideways market. Waiting for the current timeframe to show a similar Extreme signal confirms this consolidation, reducing the risk of false breakouts.
Risk Management : By requiring HTF confirmation, the indicator encourages traders to lower risk during uncertain periods, waiting for both timeframes to align in a low-volatility state before acting.
Usage Instructions
Select Display Mode :
Current TF Only : Shows Bollinger Bands and WMAs on the chart’s timeframe.
Higher TF Only : Displays HTF bands and WMAs.
Both Timeframes : Combines both for comprehensive analysis.
Choose Higher Timeframe : Select from 1min to 1D (e.g., 15min, 1hr). Ensure it differs from the current timeframe to avoid validation errors.
Enable Signal Dots : Visualize buy/sell Extreme signals as dots, sourced from current, HTF, or both timeframes.
Toggle Confirmation Labels : Display labels when current timeframe Extremes align with recent HTF Extremes, signaling potential squeezes or consolidations.
Customize Dashboard :
Full Professional Mode : View metrics like BB width, WMA trend, and last signal.
Simplified Trader Mode : Focus on essential info with custom trader notes.
Select Visual Theme : Choose from eight themes (e.g., Ice Crystal, Royal Purple) for optimal chart clarity.
Trading Example
Setup : 5min chart, HTF set to 1hr, signal dots and confirmation labels enabled.
Buy Scenario : On the 5min chart, WMA 5 Low crosses above the lower Bollinger Band (Extreme buy), confirmed by a recent 1hr Extreme buy signal within 50 bars. The dashboard shows narrow bands (squeeze), and a green label appears.
Action : Enter a long position, targeting the middle band, with a stop-loss below the recent low. The HTF confirmation suggests a strong trend or consolidation phase.
Sell Scenario : WMA 5 High crosses below the upper Bollinger Band on the 5min chart, confirmed by a recent 1hr Extreme sell signal. The dashboard indicates a squeeze, and a red label appears.
Action : Enter a short position, targeting the middle band, with a stop-loss above the recent high. The aligned signals suggest a potential reversal or sideways market.
Customization Options
BBMA Display Mode : Current TF Only, Higher TF Only, or Both Timeframes.
Higher Timeframe : 1min to 1D.
Visual Theme : Eight professional themes (e.g., Neon Contrast, Forest Glow).
Line Style : Smooth or Step Line for HTF plots.
Signal Dots : Enable/disable, select timeframe source (Current, Higher, or Both).
Confirmation Labels : Toggle and set lookback window (1-100 bars).
Dashboard : Enable/disable, choose mode (Full/Simplified), and set position (Top Right, Bottom Left, etc.).
Notes
Extreme Signals and Squeezes : Extreme signals often occur during Bollinger Band contraction (low standard deviation), signaling potential sideways markets or breakouts. Use HTF confirmation to filter false signals.
Risk Management : If the HTF shows a squeeze (narrow bands), wait for the current timeframe to confirm with an Extreme signal to reduce risk in choppy markets.
Limitations : Avoid trading Extremes in highly volatile markets without additional confirmation (e.g., volume, RSI).
Author Enhanced Professional Edition, inspired by Omar Ali’s BBMA strategy
Version : 6.0 Pro - Simplified
Last Updated : September 2025
License : Mozilla Public License 2.0
We’d love to hear your feedback! Share your thoughts or questions in the comments below.
Future SD ProjectionFuture Standard Deviation Projector
This innovative indicator projects price volatility into the future, helping traders anticipate potential price ranges and breakouts. It calculates standard deviation bands based on recent price action and extends them forward, providing a unique perspective on future price movement possibilities.
Key Features:
- Projects standard deviation bands into the future
- Customizable lookback period for volatility calculation
- Adjustable future projection timeframe
- Flexible standard deviation multiplier
- Clear visual signals for band breaches
How it works:
1. Calculates standard deviation from recent closing prices
2. Projects upper and lower bands into the future
3. Plots these bands on the chart
4. Signals with arrows when closing price crosses projected bands
Use this indicator to:
- Gauge potential future price ranges
- Identify possible breakout levels
- Assess market volatility expectations
- Enhance your trading strategy with forward-looking volatility projections
Customize the settings to align with your trading timeframe and risk tolerance. Remember, while this tool offers valuable insights, it should be used in conjunction with other analysis methods for comprehensive trading decisions.
Note: Past performance and projections do not guarantee future results. Always manage your risk appropriately.
Post-Open Long Strategy with ATR-based Stop Loss and Take ProfitThe "Post-Open Long Strategy with ATR-Based Stop Loss and Take Profit" is designed to identify buying opportunities after the German and US markets open. It combines various technical indicators to filter entry signals, focusing on breakout moments following price lateralization periods.
Key Components and Their Interaction:
Bollinger Bands (BB):
Description: Uses BB with a 14-period length and standard deviation multiplier of 1.5, creating narrower bands for lower timeframes.
Role in the Strategy: Identifies low volatility phases (lateralization). The lateralization condition is met when the price is near the simple moving average of the BB, suggesting an imminent increase in volatility.
Exponential Moving Averages (EMA):
10-period EMA: Quickly detects short-term trend direction.
200-period EMA: Filters long-term trends, ensuring entries occur in a bullish market.
Interaction: Positions are entered only if the price is above both EMAs, indicating a consolidated positive trend.
Relative Strength Index (RSI):
Description: 7-period RSI with a threshold above 30.
Role in the Strategy: Confirms the market is not oversold, supporting the validity of the buy signal.
Average Directional Index (ADX):
Description: 7-period ADX with 7-period smoothing and a threshold above 10.
Role in the Strategy: Assesses trend strength. An ADX above 10 indicates sufficient momentum to justify entry.
Average True Range (ATR) for Dynamic Stop Loss and Take Profit:
Description: 14-period ATR with multipliers of 2.0 for Stop Loss and 4.0 for Take Profit.
Role in the Strategy: Adjusts exit levels based on current volatility, enhancing risk management.
Resistance Identification and Breakout:
Description: Analyzes the highs of the last 20 candles to identify resistance levels with at least two touches.
Role in the Strategy: A breakout above this level signals a potential continuation of the bullish trend.
Time Filters and Market Conditions:
Trading Hours: Operates only during the opening of the German market (8:00 - 12:00) and US market (15:30 - 19:00).
Panic Candle: The current candle must close negative, leveraging potential emotional reactions in the market.
Avoiding Entry During Pullbacks:
Description: Checks that the two previous candles are not both bearish.
Role in the Strategy: Avoids entering during a potential pullback, improving trade success probability.
Post-Open Long Strategy with ATR-Based Stop Loss and Take Profit
The "Post-Open Long Strategy with ATR-Based Stop Loss and Take Profit" is designed to identify buying opportunities after the German and US markets open. It combines various technical indicators to filter entry signals, focusing on breakout moments following price lateralization periods.
Key Components and Their Interaction:
Bollinger Bands (BB):
Description: Uses BB with a 14-period length and standard deviation multiplier of 1.5, creating narrower bands for lower timeframes.
Role in the Strategy: Identifies low volatility phases (lateralization). The lateralization condition is met when the price is near the simple moving average of the BB, suggesting an imminent increase in volatility.
Exponential Moving Averages (EMA):
10-period EMA: Quickly detects short-term trend direction.
200-period EMA: Filters long-term trends, ensuring entries occur in a bullish market.
Interaction: Positions are entered only if the price is above both EMAs, indicating a consolidated positive trend.
Relative Strength Index (RSI):
Description: 7-period RSI with a threshold above 30.
Role in the Strategy: Confirms the market is not oversold, supporting the validity of the buy signal.
Average Directional Index (ADX):
Description: 7-period ADX with 7-period smoothing and a threshold above 10.
Role in the Strategy: Assesses trend strength. An ADX above 10 indicates sufficient momentum to justify entry.
Average True Range (ATR) for Dynamic Stop Loss and Take Profit:
Description: 14-period ATR with multipliers of 2.0 for Stop Loss and 4.0 for Take Profit.
Role in the Strategy: Adjusts exit levels based on current volatility, enhancing risk management.
Resistance Identification and Breakout:
Description: Analyzes the highs of the last 20 candles to identify resistance levels with at least two touches.
Role in the Strategy: A breakout above this level signals a potential continuation of the bullish trend.
Time Filters and Market Conditions:
Trading Hours: Operates only during the opening of the German market (8:00 - 12:00) and US market (15:30 - 19:00).
Panic Candle: The current candle must close negative, leveraging potential emotional reactions in the market.
Avoiding Entry During Pullbacks:
Description: Checks that the two previous candles are not both bearish.
Role in the Strategy: Avoids entering during a potential pullback, improving trade success probability.
Entry and Exit Conditions:
Long Entry:
The price breaks above the identified resistance.
The market is in a lateralization phase with low volatility.
The price is above the 10 and 200-period EMAs.
RSI is above 30, and ADX is above 10.
No short-term downtrend is detected.
The last two candles are not both bearish.
The current candle is a "panic candle" (negative close).
Order Execution: The order is executed at the close of the candle that meets all conditions.
Exit from Position:
Dynamic Stop Loss: Set at 2 times the ATR below the entry price.
Dynamic Take Profit: Set at 4 times the ATR above the entry price.
The position is automatically closed upon reaching the Stop Loss or Take Profit.
How to Use the Strategy:
Application on Volatile Instruments:
Ideal for financial instruments that show significant volatility during the target market opening hours, such as indices or major forex pairs.
Recommended Timeframes:
Intraday timeframes, such as 5 or 15 minutes, to capture significant post-open moves.
Parameter Customization:
The default parameters are optimized but can be adjusted based on individual preferences and the instrument analyzed.
Backtesting and Optimization:
Backtesting is recommended to evaluate performance and make adjustments if necessary.
Risk Management:
Ensure position sizing respects risk management rules, avoiding risking more than 1-2% of capital per trade.
Originality and Benefits of the Strategy:
Unique Combination of Indicators: Integrates various technical metrics to filter signals, reducing false positives.
Volatility Adaptability: The use of ATR for Stop Loss and Take Profit allows the strategy to adapt to real-time market conditions.
Focus on Post-Lateralization Breakout: Aims to capitalize on significant moves following consolidation periods, often associated with strong directional trends.
Important Notes:
Commissions and Slippage: Include commissions and slippage in settings for more realistic simulations.
Capital Size: Use a realistic trading capital for the average user.
Number of Trades: Ensure backtesting covers a sufficient number of trades to validate the strategy (ideally more than 100 trades).
Warning: Past results do not guarantee future performance. The strategy should be used as part of a comprehensive trading approach.
With this strategy, traders can identify and exploit specific market opportunities supported by a robust set of technical indicators and filters, potentially enhancing their trading decisions during key times of the day.
Bollinger Stop StrategyClassic trading strategy using the Bollinger Bands indicator.
Strategy
Only stop orders are used to enter and exit the market.
If the price crossed the upper boundary of the Bollinger Bands, then enter into a long position (and close a short position).
If the price crosses the bottom of the Bollinger Bands, then enter short (and close a long position).
Short positions can be disabled (optional).
For
Crypto-currency market
Preferably coin/fiat (BTC/USD, ETH/USDT, etc)
Timeframe 1 day only
Settings
The original settings for the Bollinger Bands indicator are set by default.
Perhaps a better result will be if you use non-original price source.
Works well with OHLC4 and HLCC4.
Quantrader📊 Overview
This custom indicator combines intraday session analysis with multi-timeframe trend confirmation to identify high-probability trading opportunities. It features:
Custom intraday session tracking (GMT+7 timezone)
Multi-level moving average confluence (SMA 20, 100, 200)
Bollinger Bands mean reversion signals
Key intraday reference levels
⚙️ Core Components
1. Custom Intraday Session Tracking
Session Start: 7:00 AM GMT+7 (Vietnamese market open)
Calculates per session:
Intraday High/Low (resets at 7:00 AM daily)
Intraday Midline = (Session High + Session Low) / 2
Pre-Day Center = Previous day's midline (carried forward)
Open Day = First 15-minute candle's open price
2. Trend Analysis Framework
SMA 20 (Short-term momentum)
SMA 100 (Medium-term trend)
SMA 200 (Long-term trend direction)
Bollinger Bands (20-period, 2 standard deviations)
3. Signal Detection Logic
Bullish Mean Reversion Setup:
javascript
Condition 1: Green candle closes ABOVE Upper Bollinger Band
Condition 2: Following candle is ALSO green
→ Triggers: Green highlight + Triangle below bar
Bearish Mean Reversion Setup:
javascript
Condition 1: Red candle closes BELOW Lower Bollinger Band
Condition 2: Following candle is ALSO red
→ Triggers: Red highlight + Triangle above bar
🎯 Visual Elements
Element Color Description
Intraday Midline Blue Real-time session midpoint
Pre-Day Center Yellow Yesterday's midline (reference)
Open Day Purple (dashed) Day's opening price
SMA 20 Red Short-term trend
SMA 100 Green Medium-term trend
SMA 200 Orange Long-term trend
Bollinger Bands Red/Green/Blue Volatility boundaries
Bull Signal Green triangle ↓ Oversold bounce potential
Bear Signal Red triangle ↑ Overbought rejection potential
📈 Trading Applications
1. Trend Confirmation
Bullish Alignment: Price > All SMAs + Above Intraday Midline
Bearish Alignment: Price < All SMAs + Below Intraday Midline
2. Mean Reversion Opportunities
Overbought Scenario: Consecutive green candles above Upper BB → Potential reversal
Oversold Scenario: Consecutive red candles below Lower BB → Potential bounce
3. Intraday Level Trading
Intraday Midline: Dynamic support/resistance
Pre-Day Center: Psychological reference level
Open Day: Key opening price level
⚡ Key Features
Automatic Session Reset: Daily at 7:00 AM GMT+7
Multi-Timeframe Confluence: Combines intraday, daily, and trend analysis
Clean Visual Design: Non-cluttered, focused on key levels
Real-Time Calculation: All levels update with each new candle
🛠️ Recommended Settings
Timeframe: 15-minute to 1-hour charts
Markets: Forex, Indices, Commodities
Best Pairs: EURUSD, XAUUSD, VN30, USDJPY
Trading Style: Swing trading, Day trading
📖 Usage Tips
Trend Trading: Enter in direction of SMA alignment (20 > 100 > 200 for bullish)
Mean Reversion: Use BB signals at key intraday levels (Midline, Pre-Day Center)
Confirmation: Wait for candle close above/below key levels
Risk Management: Place stops beyond opposite intraday extreme
🎨 Customization Options
Users can modify:
Session start time (line 6)
Bollinger Band parameters (length, multiplier)
SMA periods
Color schemes
Mean Reversion — BB + Z-Score + RSI + EMA200 (TP at Opposite Z)This is a systematic mean-reversion framework for index futures and other liquid assets.
This strategy combines Bollinger Bands, Z-Score dislocation, RSI extremes, and a trend-filtering EMA200 to capture short-term mean-reversion inefficiencies in NQ1!. It is designed for high-volatility conditions and uses a precise exit model based on opposite-side Z-Score targets and dynamic mid-band failure detection.
🔍 Entry Logic (Mean Reversion) :
The strategy enters trades only when multiple confluence signals align:
Long Setup
Price at or below the lower Bollinger Band
Z-Score ≤ –Threshold (deep statistical deviation)
RSI ≤ oversold level
Price below the EMA-200 (countertrend mean-reversion only)
Cooldown must be completed
No open position
Short Setup
Price at or above the upper Bollinger Band
Z-Score ≥ Threshold
RSI ≥ overbought level
Price above the EMA-200
Cooldown complete
No open position
This multi-signal gate filters out weak reversions and focuses on mature dislocations.
🎯 Take-Profit Model: Opposite-Side Z-Score Target :
Once in a trade, take-profit is set by solving for the price where the Z-Score reaches the opposite side:
Long TP = Z = +Threshold
Short TP = Z = –Threshold
This creates a symmetric statistical exit based on reverting to equilibrium plus overshoot.
🛡️ Stop-Loss System (Volatility-Aware) :
Stop losses combine:
A fixed base stop (points)
A standard-deviation volatility component
This adapts the SL to regime changes and avoids being shaken out during rare volatility spikes.
⏳ Half-Life Exit :
If a trade has not reverted within a fixed number of bars, it automatically closes.
This prevents “mean-reversion traps” during trending periods.
📉 Advanced Mid-Band Exit Logic (BB Basis Failure) :
This is the unique feature of the system.
After entry:
Wait for price to cross the Bollinger Basis (middle band) in the direction of the mean.
Start a 5-bar delay timer.
After 5 bars, the strategy becomes “armed.”
Once armed:
If price fails back through the mean, exit immediately.
Intrabar exits trigger precisely (with tick-level precision if Bar Magnifier is enabled).
This protects profits and exits trades at the first sign of mean-failure.
⏱️ Cooldown System :
After each closed trade, a cooldown period prevents immediate re-entry.
This avoids clustering and improves statistical independence of trades.
🖥️ What This Strategy Is Best For :
High-volatility intraday NQ conditions
Statistical mean reversion with structured confluence
Traders who want clean, rule-based entries
Avoiding trend-day traps using EMA and half-life logic
📊 Included Visual Elements :
Bollinger Bands (Upper, Basis, Lower)
BUY/SELL markers at signal generation
Optional alerts for automated monitoring
🚀 Summary :
This is a precision mean-reversion system built around volatility bands, statistical dislocation, and price-behavior confirmation. By combining Z-Score, RSI, EMA200 filtering, and a sophisticated mid-band failure exit, this model captures high-probability reversions while avoiding the common pitfalls of naive band-touch systems.
Closing Price Donchian Channels//@version=5
indicator("Closing Price Donchian Channels", overlay=true)
// Input parameters
length = input.int(20, "Period", minval=1)
showMid = input.bool(true, "Show Middle Line")
// Calculate upper and lower bands based on closing prices
upper = ta.highest(close, length)
lower = ta.lowest(close, length)
mid = (upper + lower) / 2
// Plot the bands
upperBand = plot(upper, "Upper Band", color=color.rgb(0, 184, 222))
lowerBand = plot(lower, "Lower Band", color=color.rgb(0, 184, 222))
midLine = plot(showMid ? mid : na, "Middle Line", color=color.rgb(209, 212, 220))
// Fill the area between bands
fill(upperBand, lowerBand, color=color.rgb(0, 184, 222, 90), title="Channel Fill")
Closing Price Donchian Channels Rayner//@version=5
indicator("Closing Price Donchian Channels", overlay=true)
// Input parameters
length = input.int(20, "Period", minval=1)
showMid = input.bool(true, "Show Middle Line")
// Calculate upper and lower bands based on closing prices
upper = ta.highest(close, length)
lower = ta.lowest(close, length)
mid = (upper + lower) / 2
// Plot the bands
upperBand = plot(upper, "Upper Band", color=color.rgb(0, 184, 222))
lowerBand = plot(lower, "Lower Band", color=color.rgb(0, 184, 222))
midLine = plot(showMid ? mid : na, "Middle Line", color=color.rgb(209, 212, 220))
// Fill the area between bands
fill(upperBand, lowerBand, color=color.rgb(0, 184, 222, 90), title="Channel Fill")
BTC Fair Value via Global Liquidity📈 BTC Fair Value via Global Liquidity
This indicator estimates Bitcoin's fair value based on a regression model using Global Liquidity (GLI) data from major central banks.
🔍 How it works:
Fair Value Line (orange): Calculated using a power-law model: Fair Value = e^b * (GLI)^a, where a and b are user-defined parameters based on historical regression.
Global Liquidity (GLI): Combines liquidity metrics from central banks (Fed, ECB, PBoC, BoJ, etc.), including adjustments for the RRP and TGA.
Deviation Bands (green/red dashed): Optional upper and lower bands showing % deviation from fair value (default ±25%). These help identify overbought/oversold conditions.
Delta Plot (gray dots): Displays the % deviation of BTC’s price from its modeled fair value.
⚙️ How to use:
Tune a and b for better model fitting (e.g., via log-log regression).
Use the deviation bands to identify potential entry/exit zones or periods of market inefficiency.
Ideal for macro-level BTC valuation and long-term strategic analysis.
