Indicators: Traders Dynamic Index, HLCTrends and Trix Ribbon1) Trix Ribbon
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This was built on request. Many Stock/FX traders overlay multiple Trix lines to form the ribbon, this indicator makes it easy.
Also, optionally this can plot a BollingerBand on Trix_1.
More info on Trix:
stockcharts.com
2) High/Low/Close Trend Indicator
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Simple indicator using EMAs of H/L/C. If blue line is above the red line, the trend is up, else down. Keep an eye on the zero line too.
3) Traders Dynamic Index
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This hybrid indicator helps to decipher and monitor market conditions related to trend direction, market strength, and market volatility.
TDI has the following components:
* Green line = RSI Price line
* Red line = Trade Signal line
* Blue lines = Volatility Bands
* Orange line = Market Base Line
Trend Direction - Immediate and Overall:
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* Immediate = Green over Red...price action is moving up.
Red over Green...price action is moving down.
* Overall = Orange line trends up and down generally between the lines 32 & 68. Watch for Orange line to bounces off these lines for market reversal. Trade long when price is above the Orange line, and trade short when price is below.
Market Strength & Volatility - Immediate and Overall:
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* Immediate = Green Line - Strong = Steep slope up or down.
Weak = Moderate to Flat slope.
* Overall = Blue Lines - When expanding, market is strong and trending. When constricting, market is weak and in a range. When the Blue lines are extremely tight in a narrow range, expect an economic announcement or other market condition to spike the market.
Entry conditions:
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* Scalping - Long = Green over Red,
Short = Red over Green
* Active - Long = Green over Red & Orange lines
Short = Red over Green & Orange lines
* Moderate - Long = Green over Red, Orange, & 50 lines
Short= Red over Green, Green below Orange & 50 line
Exit conditions:
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If Green crosses either Blue lines, consider exiting when the Green line crosses back over the Blue line.
* Long = Green crosses below Red
* Short = Green crosses above Red
More info on a complete system using TDI:
www.forexmt4.com
Cari dalam skrip untuk "bollingerband"
CODEX#33CODEX#33 is a dynamic EMA-based system designed to visualize trend strength, volatility, and key market zones. It includes:
5 customizable EMAs (13, 21, 50, 200, 800)
Optional labels with future offset to keep charts clean
An EMA 50-based volatility cloud using standard deviation
Full control over visibility, colors, and label display
Built for clean execution and easy visual tracking of momentum shifts across all timeframes.
Simplicity is key!
Momentum Fusion v1Momentum Fusion v1
Overview
Momentum Fusion v1 (MFusion) is a multi-oscillator indicator that combines several components to analyze market momentum and trend strength. It incorporates modified versions of classic indicators such as PVI (Positive Volume Index), NVI (Negative Volume Index), MFI (Money Flow Index), RSI, Stochastic, and Bollinger Bands Oscillator. The indicator displays a histogram that changes color based on momentum strength and includes "FUSION🔥" signal labels when extreme values are reached.
Indicator Settings
Parameters:
EMA Length – Smoothing period for the moving average (default: 255).
Smoothing Period – Internal calculation smoothing parameter (default: 15).
BB Multiplier – Standard deviation multiplier for Bollinger Bands (default: 2.0).
Show verde / marron / media lines – Toggles the display of auxiliary lines.
Show FUSION🔥 label – Enables/disables signal labels.
Indicator Components
1. PVI (Positive Volume Index)
Formula:
pvi := volume > volume ? nz(pvi ) + (close - close ) / close * sval : nz(pvi )
Description:
PVI increases when volume rises compared to the previous bar and accounts for price percentage change. The stronger the price movement with increasing volume, the higher the PVI value.
2. NVI (Negative Volume Index)
Formula:
nvi := volume < volume ? nz(nvi ) + (close - close ) / close * sval : nz(nvi )
Description:
NVI tracks price movements during declining volume. If the price rises on low volume, it may indicate a "stealth" trend.
3. Money Flow Index (MFI)
Formula:
100 - 100 / (1 + up / dn)
Description:
An oscillator measuring money flow strength. Values above 80 suggest overbought conditions, while values below 20 indicate oversold conditions.
4. Stochastic Oscillator
Formula:
k = 100 * (close - lowest(low, length)) / (highest(high, length) - lowest(low, length))
Description:
A classic stochastic oscillator showing price position relative to the selected period's range.
5. Bollinger Bands Oscillator
Formula:
(tprice - BB midline) / (upper BB - lower BB) * 100
Description:
Indicates the price position relative to Bollinger Bands in percentage terms.
Key Lines & Histogram
1. Verde (Green Line)
Calculation:
verde = marron + oscp (normalized PVI)
Interpretation:
Higher values indicate stronger bullish momentum. A FUSION🔥 signal appears when the value reaches 750+.
2. Marron (Brown Line)
Calculation:
marron = (RSI + MFI + Bollinger Osc + Stochastic / 3) / 2
Interpretation:
A composite oscillator combining multiple indicators. Higher values suggest overbought conditions.
3. Media (Red Line)
Calculation:
media = EMA of marron with smoothing period
Interpretation:
Acts as a signal line for trend confirmation.
4. Histogram
Calculation:
histo = verde - marron
Colors:
Bright green (>100) – Strong bullish momentum.
Light green (>0) – Moderate bullish momentum.
Orange (<0) – Bearish momentum.
Red (<-100) – Strong bearish momentum.
Signals & Alerts
1. FUSION🔥 (Strong Momentum)
Condition:
verde >= 750
Visualization:
A "FUSION🔥" label appears below the chart.
Alert:
Can be set to trigger notifications when the condition is met.
2. Background Aura
Condition:
verde > 850
Visualization:
The chart background turns teal, indicating extreme momentum.
Usage Recommendations
FUSION🔥 Signal – Can be used as a long entry point when confirmed by other indicators.
Histogram:
1. Green bars – Potential long entry.
2. Red/orange bars – Potential short entry.
3. Media & Marron Crossover – Can serve as an additional trend filter.
4. Suitable for a 5-15 minute time frame
Conclusion
Momentum Fusion v1 is a powerful tool for momentum analysis, combining multiple indicators into a unified system. It is suitable for:
Trend traders (catching strong movements).
Scalpers (identifying short-term impulses).
Swing traders (filtering entry points).
The indicator features customizable settings and visual signals, making it adaptable to various trading styles.
Dual Bollinger BandsIndicator Name:
Double Bollinger Bands (2-9 & 2-20)
Description:
This indicator plots two sets of Bollinger Bands on a single chart for enhanced volatility and trend analysis:
Fast Bands (2-9 Length) – Voilet
More responsive to short-term price movements.
Useful for spotting quick reversals or scalping opportunities.
Slow Bands (2-20 Length) – Black
Smoother, trend-following bands for longer-term context.
Helps confirm broader market direction.
Both bands use the standard settings (2 deviations, SMA basis) for consistency. The transparent fills improve visual clarity while keeping the chart uncluttered.
Use Cases:
Trend Confirmation: When both bands expand together, it signals strong momentum.
Squeeze Alerts: A tight overlap suggests low volatility before potential breakouts.
Multi-Timeframe Analysis: Compare short-term vs. long-term volatility in one view.
How to Adjust:
Modify lengths (2-9 and 2-20) in the settings.
Change colors or transparency as needed.
Why Use This Script?
No Repainting – Uses standard Pine Script functions for reliability.
Customizable – Easy to tweak for different trading styles.
Clear Visuals – Color-coded bands with background fills for better readability.
Ideal For:
Swing traders, day traders, and volatility scalpers.
Combining short-term and long-term Bollinger Band strategies.
Double Bollinger Bands MTF and Price projectionI did this script because I wanted to project prices over future bars quickly because I am a options trader.
Options:
Time frame: Default is Chart
Some times I prefer using 15 m with period 200 on a daily chart in a fast moving market. But you can chose what suites you
BB inner deviation 1 is default
When BB inner deviation=1 the outer will be 2X if its 0.5 outer will be 1
Moving Average type : Default EMA
Project next bar in label Default is off
This will calculate a linear projection of price of each band for the number of bars requested and print them in the label. It does not plot the future values
Using: in a trending market the prices will be generally be between band1 and band 2
and other times between -band1 and +band1. The projection can assist in optimal option strategy. Also in a fast moving market I would use 10 period ema for accurate price projections and others 20
Tri-Fold BB(Trend-Strength)*indicator isn't preset to look as displayed, do so accordingly*
"Tri-Fold BB" is an indicator that utilizes three Bollinger Bands, each of different length as a way to represent trend strength. This allows one to see the trend strength relative to multiple timeframes: short, mid, and long term trend strength. This is helpful because it provides the user with a holistic view of the asset.
How it Works
The indicator is preset to utilizing three different Bollinger Bands with length: 20, 50, and 100. This indicator simply plots the price of an asset relative to its specified Bollinger Band. For an example, if the price of the asset were to surpass its 20BB standard deviations, it would display so accordingly, though from the perspective of lets say... the 100, it may have looked like it barely moved up a standard deviation relative to 100BB because the standard deviations of a 100BB are more spread out.
Its important to view the trend strength from multiple lengths because it allows one to gauge whether the short term trend strength is likely to hold or not. A better way to speculate on asset behavior.
Another way to view this indicator is similar to that of the BB% indicator, except this indicator allows us to view price relative to standard deviations, across multiple timeframes. More holistic, more utility provided.
Basic Understanding:
Each line = Standard Deviation (3 upper, 3 lower)
Mid-Line = Basis relative to BB(20sma, 50sma, 100sma)
If price goes under Basis, that means it crossed below their specified sma(significant bull or bear signal)
I've also added HMA's relative to each BB incase one were to decide in creating some sort of trading strategy with it. I personally don't use them but I understand that it could be helpful to some so I left it in there. If you don't like them then simply deselect them and then save your desired setup as default.
In regard to regular indications of bullish or bearishness, i'd like to add that I use this indicator for the sole purpose of providing an idea of trend strength. I personally am unsure to state that cross overs directly indicate that there is a bull or bear move because I've seen instances where the price of an asset went in a direction contrary to what it 'should' have if we were to use that cross over strategy. Though of course, feel free to use this indicator as desired.
Bollinger Bands Reversal Strategy Analyzer█ OVERVIEW
The Bollinger Bands Reversal Overlay is a versatile trading tool designed to help traders identify potential reversal opportunities using Bollinger Bands. It provides visual signals, performance metrics, and a detailed table to analyze the effectiveness of reversal-based strategies over a user-defined lookback period.
█ KEY FEATURES
Bollinger Bands Calculation
The indicator calculates the standard Bollinger Bands, consisting of:
A middle band (basis) as the Simple Moving Average (SMA) of the closing price.
An upper band as the basis plus a multiple of the standard deviation.
A lower band as the basis minus a multiple of the standard deviation.
Users can customize the length of the Bollinger Bands and the multiplier for the standard deviation.
Reversal Signals
The indicator identifies potential reversal signals based on the interaction between the price and the Bollinger Bands.
Two entry strategies are available:
Revert Cross: Waits for the price to close back above the lower band (for longs) or below the upper band (for shorts) after crossing it.
Cross Threshold: Triggers a signal as soon as the price crosses the lower band (for longs) or the upper band (for shorts).
Trade Direction
Users can select a trade bias:
Long: Focuses on bullish reversal signals.
Short: Focuses on bearish reversal signals.
Performance Metrics
The indicator calculates and displays the performance of trades over a user-defined lookback period ( barLookback ).
Metrics include:
Win Rate: The percentage of trades that were profitable.
Mean Return: The average return across all trades.
Median Return: The median return across all trades.
These metrics are calculated for each bar in the lookback period, providing insights into the strategy's performance over time.
Visual Signals
The indicator plots buy and sell signals on the chart:
Buy Signals: Displayed as green triangles below the price bars.
Sell Signals: Displayed as red triangles above the price bars.
Performance Table
A customizable table is displayed on the chart, showing the performance metrics for each bar in the lookback period.
The table includes:
Win Rate: Highlighted with gradient colors (green for high win rates, red for low win rates).
Mean Return: Colored based on profitability (green for positive returns, red for negative returns).
Median Return: Colored similarly to the mean return.
Time Filtering
Users can define a specific time window for the indicator to analyze trades, ensuring that performance metrics are calculated only for the desired period.
Customizable Display
The table's font size can be adjusted to suit the user's preference, with options for "Auto," "Small," "Normal," and "Large."
█ PURPOSE
The Bollinger Bands Reversal Overlay is designed to:
Help traders identify high-probability reversal opportunities using Bollinger Bands.
Provide actionable insights into the performance of reversal-based strategies.
Enable users to backtest and optimize their trading strategies by analyzing historical performance metrics.
█ IDEAL USERS
Swing Traders: Looking for reversal opportunities within a trend.
Mean Reversion Traders: Interested in trading price reversals to the mean.
Strategy Developers: Seeking to backtest and refine Bollinger Bands-based strategies.
Performance Analysts: Wanting to evaluate the effectiveness of reversal signals over time.
Adaptive Range Scalper - KetBotAIThe Adaptive Scalper is designed to dynamically adjust entry, take-profit (TP), and stop-loss (SL) levels based on the latest market price. It combines multiple tools to provide traders with actionable insights, suitable for a range of trading styles and timeframes.
How the Indicator Works
Dynamic Levels:
- Yellow Dotted Line: Represents the entry level, following the latest price dynamically.
- Green Line: The Take Profit (TP) level, calculated as a multiple of the current price, adapts in real-time.
- Red Line: The Stop Loss (SL) level, placed below the price and also dynamically adjusts.
Bollinger Bands:
Provides context for market volatility and potential overbought/oversold zones.
Narrowing bands signal consolidation, while expanding bands indicate increased volatility.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the lower Bollinger Band.
Sell Signal: Triggered when the price crosses below the upper Bollinger Band.
These signals help traders time entries and exits based on momentum shifts.
Risk/Reward Analysis:
Visual shading shows the favorable risk/reward zone between the stop loss and take profit levels.
Timeframe Suggestions
Short-Term Traders (Scalping):
Use on 5-minute to 15-minute charts.
Focus on high-volatility periods for quick entries and exits.
Intraday Traders:
Ideal for 30-minute to 1-hour charts.
Provides more stable signals and less noise.
Swing Traders:
Best suited for 4-hour or daily charts.
Captures broader trends with fewer signals, allowing for larger moves.
Tool Combination
Volume Profile:
Combine with volume-based tools to confirm key support/resistance zones around TP and SL levels.
Trend Indicators:
Use with Moving Averages (e.g., 20-period or 50-period) to identify the broader trend direction.
Example: Only take buy signals in an uptrend and sell signals in a downtrend.
Momentum Oscillators:
Pair with tools like RSI or MACD to avoid entering overbought/oversold conditions.
Support/Resistance Lines:
Manually mark significant levels to confirm alignment with the indicator’s TP and SL zones.
Useful Advice for Traders
Risk Management:
- Always assess the risk/reward ratio; aim for at least 1:2 (risking 1 to gain 2).
- Adjust the multiplier to match your trading style (e.g., higher multiplier for swing trades, lower for scalping).
Avoid Overtrading:
Use the indicator in conjunction with clear rules to avoid false signals during low-volatility periods.
Monitor market volatility:
Pay attention to narrowing Bollinger Bands, which signal consolidations. Avoid trading until a breakout occurs.
Test on Demo Accounts:
Practice using the indicator on a demo account to understand its behavior across different assets and timeframes.
Focus on High-Liquidity Markets:
For the best results, trade highly liquid instruments like major currency pairs, gold, or stock indices.
Summary
The Adaptive Range Indicator dynamically adjusts to market conditions, offering clear entry and exit levels. By combining it with Bollinger Bands and other tools, traders can better navigate market trends and avoid noise. It’s versatile across multiple timeframes and assets, making it a valuable addition to any trader’s toolkit.
Multifactor Buy/Sell Strategy V2 | RSI, MACD, ATR, EMA, Boll.BITGET:1INCHUSDT
This Pine Script code for TradingView is a multifactor Buy/Sell indicator that combines several technical factors to generate trading signals based on trend, volatility, and volume conditions. Here’s a breakdown of the main components and functionality:
Indicator Name
- Multifactor Buy/Sell Strategy V2 — an overlay indicator applied directly on the price chart.
### Input Parameters
The script includes multiple customizable parameters:
- RSI, EMA, MACD parameters — for setting periods and signals of MACD and RSI.
- ATR and Bollinger Bands — used for volatility analysis and level determination.
- Minimum Volatility Threshold — sets a minimum Bollinger Band width threshold for determining high volatility.
Core Indicators
1. RSI — calculated to identify oversold (below 30) and overbought (above 70) conditions.
2. EMA and MACD — calculates exponential moving averages and MACD histogram to determine trend direction.
3. ATR and Bollinger Bands — used to assess current volatility and establish dynamic upper and lower bands.
Volatility and Volume Analysis
- Determines the current ATR level and Bollinger Band width to evaluate high volatility.
- Calculates the volume moving average to track periods of increased volume during high volatility.
Trend Analysis
The script uses the difference between fast and slow EMAs to define strong trends:
- Uptrend — when the fast EMA is above the slow EMA, the price is above the fast EMA, and the trend is strong.
- Downtrend — when the fast EMA is below the slow EMA, the price is below the fast EMA, and the trend is strong.
Momentum Filter
- Based on the price change over the last three bars and compared against the minimum volatility threshold to identify strong momentum.
Buy and Sell Signal Generation
- Buy Signal: Uptrend with RSI oversold, positive MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
- Sell Signal: Downtrend with RSI overbought, negative MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
Visualization
- Buy and sell signals are displayed as green and red triangles on the chart.
- Plots for fast and slow EMAs, upper and lower bands, and Bollinger Bands.
Alerts
The script includes alert conditions for buy and sell signals, allowing notifications to be sent via email or mobile app.
Information Panel
A small table on the chart displays current volatility dataThis Pine Script code for TradingView is a multifactor Buy/Sell indicator that combines several technical factors to generate trading signals based on trend, volatility, and volume conditions. Here’s a breakdown of the main components and functionality:
Indicator Name
- Multifactor Buy/Sell Strategy V2 — an overlay indicator applied directly on the price chart.
Input Parameters
The script includes multiple customizable parameters:
- **RSI, EMA, MACD parameters** — for setting periods and signals of MACD and RSI.
- **ATR and Bollinger Bands** — used for volatility analysis and level determination.
- **Minimum Volatility Threshold** — sets a minimum Bollinger Band width threshold for determining high volatility.
Core Indicators
1. RSI — calculated to identify oversold (below 30) and overbought (above 70) conditions.
2. EMA and MACD — calculates exponential moving averages and MACD histogram to determine trend direction.
3. ATR and Bollinger Bands — used to assess current volatility and establish dynamic upper and lower bands.
Volatility and Volume Analysis
- Determines the current ATR level and Bollinger Band width to evaluate high volatility.
- Calculates the volume moving average to track periods of increased volume during high volatility.
Trend Analysis
The script uses the difference between fast and slow EMAs to define strong trends:
- Uptrend — when the fast EMA is above the slow EMA, the price is above the fast EMA, and the trend is strong.
- Downtrend — when the fast EMA is below the slow EMA, the price is below the fast EMA, and the trend is strong.
Momentum Filter
- Based on the price change over the last three bars and compared against the minimum volatility threshold to identify strong momentum.
Buy and Sell Signal Generation
- Buy Signal: Uptrend with RSI oversold, positive MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
- Sell Signal: Downtrend with RSI overbought, negative MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
Visualization
- Buy and sell signals are displayed as green and red triangles on the chart.
- Plots for fast and slow EMAs, upper and lower bands, and Bollinger Bands.
Alerts
The script includes alert conditions for buy and sell signals, allowing notifications to be sent via email or mobile app.
Information Panel
A small table on the chart displays current volatility
- Volatility Status — indicates high or low volatility.
- Bollinger Band Width — current width as a percentage.
- ATR Ratio — ratio of current ATR to long-term average ATR.
This script is suitable for trading in high-volatility conditions, combining multiple filters and factors to generate precise buy and sell signals.
E9 Bollinger RangeThe E9 Bollinger Range is a technical trading tool that leverages Bollinger Bands to track volatility and price deviations, along with additional trend filtering via EMAs.
The script visually enhances price action with a combination of trend-filtering EMAs, bar colouring for trend direction, signals to indicate potential buy and sell points based on price extension and engulfing patterns.
Here’s a breakdown of its key components:
Bollinger Bands: The strategy plots multiple Bollinger Band deviations to create different price levels. The furthest deviation bands act as warning signs for traders when price extends significantly, signaling potential overbought or oversold conditions.
Bar Colouring: Visual bar colouring is applied to clearly indicate trend direction: green bars for an uptrend and red bars for a downtrend.
EMA Filtering: Two EMAs (50 and 200) are used to help filter out false signals, giving traders a better sense of the underlying trend.
This combination of signals, visual elements, and trend filtering provides traders with a systematic approach to identifying price deviations and taking advantage of market corrections.
Brief History of Bollinger Bands
Bollinger Bands were developed by John Bollinger in the early 1980s as a tool to measure price volatility in financial markets. The bands consist of a moving average (typically 20 periods) with upper and lower bands placed two standard deviations away. These bands expand and contract based on market volatility, offering traders a visual representation of price extremes and potential reversal zones.
John Bollinger’s work revolutionized technical analysis by incorporating volatility into trend detection. His bands remain widely used across markets, including stocks, commodities, and cryptocurrencies. With the ability to highlight overbought and oversold conditions, Bollinger Bands have become a staple in many trading strategies.
Bollinger Band + Mid BandBollinger Band + Mid Band
This indicator combines the classic Bollinger Bands with enhanced customization options, allowing traders to fine-tune the settings according to their specific strategies.
Key Features:
Moving Average Flexibility: Choose between Simple Moving Average (SMA), Exponential Moving Average (EMA), or Weighted Moving Average (WMA) as the central basis for the Bollinger Bands. This flexibility allows you to align the indicator with your preferred method of trend analysis.
Dual Band Deviation: The indicator includes two sets of upper and lower bands based on different standard deviation multipliers. This helps you analyze both the tightness of price action and potential breakout zones.
Customizable Colors: The mid-band, upper bands, and lower bands can be fully customized in terms of color, allowing you to personalize the visual representation of the indicator on your charts.
Dynamic Transparency: The space between the outer Bollinger Bands can be filled with a customizable transparent color, making it easy to visualize price movements within the bands.
Alerts for Crossovers: Alerts are triggered whenever the price crosses above the upper band or below the lower band, giving you timely notifications of potential breakout or breakdown scenarios.
Overbought/Oversold Visualization: The background of the chart changes color when the price crosses above the upper band (indicating overbought conditions) or below the lower band (indicating oversold conditions), providing a visual cue to help you identify market extremes.
Labeling for Significant Events: Labels appear on the chart whenever the price crosses the upper or lower bands, helping you quickly identify key moments for further analysis.
This script is designed for traders who want to leverage Bollinger Bands in their technical analysis but require additional flexibility and customization options. Whether you're using it for trend analysis, volatility assessment, or identifying overbought and oversold conditions, this tool can be tailored to fit a wide variety of trading styles.
Usage:
Ideal for traders looking to enhance the standard Bollinger Bands with more dynamic and customizable features.
Suitable for any market, including stocks, forex, and cryptocurrencies.
Useful in identifying volatility squeezes, breakouts, and potential reversal points.
Hullinger Bands [AlgoAlpha]🎯 Introducing the Hullinger Bands Indicator ! 🎯
Maximize your trading precision with the Hullinger Bands , an advanced tool that combines the strengths of Hull Moving Averages and Bollinger Bands for a robust trading strategy. This indicator is designed to give traders clear and actionable signals, helping you identify trend changes and optimize entry and exit points with confidence.
✨ Key Features :
📊 Dual-Length Settings : Customize your main and TP signal lengths to fit your trading style.
🎯 Enhanced Band Accuracy : The indicator uses a modified standard deviation calculation for more reliable volatility measures.
🟢🔴 Color-Coded Signals : Easily spot bullish and bearish conditions with customizable color settings.
💡 Dynamic Alerts : Get notified for trend changes and TP signals with built-in alert conditions.
🚀 Quick Guide to Using Hullinger Bands
1. ⭐ Add the Indicator : Add the indicator to favorites by pressing the star icon. Adjust the settings to align with your trading preferences, such as length and multiplier values.
2. 🔍 Analyze Readings : Observe the color-coded bands for real-time insights into market conditions. When price is closer to the upper bands it suggests an overbought market and vice versa if price is closer to the lower bands. Price being above or below the basis can be a trend indicator.
3. 🔔 Set Alerts : Activate alerts for bullish/bearish trends and TP signals, ensuring you never miss a crucial market movement.
🔍 How It Works
The Hullinger Bands indicator calculates a central line (basis) using a simple moving average, while the upper and lower bands are derived from a modified standard deviation of price movements. Unlike the traditional Bollinger Bands, the standard deviation in the Hullinger bands uses the Hull Moving Average instead of the Simple Moving Average to calculate the average variance for standard deviation calculations, this give the modified standard deviation output "memory" and the bands can be observed expanding even after the price has started consolidating, this can identify when the trend has exhausted better as the distance between the price and the bands is more apparent. The color of the bands changes dynamically, based on the proximity of the closing price to the bands, providing instant visual cues for market sentiment. The indicator also plots TP signals when price crosses these bands, allowing traders to make informed decisions. Additionally, alerts are configured to notify you of crucial market shifts, ensuring you stay ahead of the curve.
Ahsan Tufail Precise MA Crossover Filter for Reliable SignalsIntroduction:
In the ever-evolving world of Forex trading, strategies that provide a competitive edge are highly sought after. The Moving Average (MA) crossover technique is a popular long-term approach, but its vulnerability to false signals can lead to potential losses. To overcome this challenge, we introduce a game-changing MA crossover filter designed to weed out false signals and unlock the full potential of this strategy. In this article, we delve into the mechanics of this filter, providing a comprehensive analysis of its components and how it enhances the accuracy of buy and sell signals.
The Power of the MA Crossover Filter:
The essence of our MA crossover filter lies in the integration of a specialized indicator that operates on a scale of 0 to 100. This ingenious indicator dynamically measures the distance between the middle Bollinger band and either the upper or lower Bollinger band. By analyzing the values of the last 504 candlesticks, it maps the range from 50 to 100 for the largest and smallest distances between the middle and upper Bollinger bands. Similarly, for values ranging from 0 to 50, it measures the distance between the middle and lower Bollinger bands.
Unveiling the Signal Execution Process:
The brilliance of this filter is revealed in its meticulous execution of buy and sell signals, which significantly reduces false crossovers. Let's explore the process step-by-step:
Buy Signal Precision:
To initiate a buy signal, the price must be positioned above the 200-period Simple Moving Average (SMA).
The filter validates the crossover by checking the indicator's value, ensuring it falls below the threshold of 25.
Sell Signal Accuracy:
For a sell signal, the price must be below the 200-period Simple Moving Average (SMA).
The filter confirms the crossover by verifying the indicator's value, which should exceed the threshold of 75.
This selective approach ensures that only high-confidence crossovers are considered, maximizing the potential for profitable trades.
Fine-Tuning the Filter for Optimal Performance:
While the MA crossover filter exhibits its prowess in GBPUSD and EURUSD currency pairs, it may require adjustments for other pairs. Currency pairs possess unique characteristics, and adapting the filter to specific behavior is crucial for its success.
To fine-tune the filter for alternative currency pairs, traders should conduct rigorous backtesting and analyze historical price data. By experimenting with indicator threshold values, traders can calibrate the filter to accurately match the dynamics of the target currency pair. This iterative process allows for customization, ultimately resulting in a finely-tuned filter that aligns with the unique behavior of the selected market.
Conclusion:
The MA crossover filter represents a paradigm shift in long-term Forex trading strategies. By intelligently filtering false signals, this precision tool unleashes the true potential of the MA crossover technique, elevating its profitability and enhancing overall trading performance. While no strategy guarantees absolute success, incorporating this filter empowers traders with a heightened level of confidence in their buy and sell signals. Embracing the power of this innovative filter can be a transformative step towards mastering Forex profits and staying ahead in the dynamic world of currency trading.
Multi Bollinger Bands with Over ZoneThis indicator is called "Multi Bollinger Bands with Over Zone". The indicator uses linear regression to calculate the regression line and standard deviation to calculate the upper and lower deviation lines. It also plots filled areas between the deviation lines to highlight overbought and oversold zones.
The indicator has several customizable inputs, including the length of the regression period, depth, and deviations used to calculate the deviation lines.
The regression line is plotted in green color with circle markers. The upper and lower deviation lines are plotted in blue and red colors, respectively. The area between the deviation lines is filled with light blue color for the overbought zone and light pink color for the oversold zone.
This indicator helps traders in identifying trends and potential price reversals. When the price is above the upper deviation line, it indicates a potential overbought zone, while when the price is below the lower deviation line, it indicates a potential oversold zone.
Please note that this indicator is only a tool for analysis and does not provide direct trading signals. It is important to combine this indicator with additional analysis and appropriate trading strategies.
Shorting when Bollinger Band Above Price with RSI (by Coinrule)The Bollinger Bands are among the most famous and widely used indicators. A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average ( SMA ) of a security's price, but which can be adjusted to user preferences. They can suggest when an asset is oversold or overbought in the short term, thus providing the best time for buying and selling it.
The relative strength index ( RSI ) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI can do more than point to overbought and oversold securities. It can also indicate securities primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
The short order is placed on assets that present strong momentum when it's more likely that it is about to reverse. The rule strategy places and closes the order when the following conditions are met:
ENTRY
The closing price is greater than the upper standard deviation of the Bollinger Bands
The RSI is less than 70.
EXIT
The trade is closed when the RSI is less than 70
The lower standard deviation of the Bollinger Band is less than the closing price.
This strategy was backtested from the beginning of 2022 to capture how this strategy would perform in a bear market.
The strategy assumes each order to trade 70% of the available capital to make the results more realistic. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume.
Bollinger Band Alert with RSI Filter IndicatorThis code is for a technical analysis indicator called Bollinger Band Alert with RSI Filter. It uses two tools: Bollinger Bands and Relative Strength Index (RSI) to identify potential trading signals in the market.
Bollinger Bands are lines plotted two standard deviations away from a simple moving average of the price of a stock or asset. They help traders determine whether prices are high or low on a relative basis.
The RSI is a momentum indicator that measures the strength of recent price changes to evaluate whether an asset is overbought or oversold.
The code has some input parameters that a user can change, such as length and multiplier, which are used to calculate the Bollinger Bands, and upper and lower RSI levels to define the overbought and oversold zones.
The code then uses if statements to generate alerts if certain conditions are met. The alert condition is triggered if the close price of an asset crosses above or below the upper or lower Bollinger Bands, and if the RSI is either above or below the overbought or oversold threshold levels.
Finally, the code generates plots to visualize the Bollinger Bands and displays triangles above or below the bars indicating when to enter a long or short position based on the strategy's criteria.
Bollinger Band BreakoutThis strategy buys when price crosses above an upper Bollinger Band and sells when the lower band is breached. What makes this strategy different than others:
Long only with filtering for only showing strong tickers
Filter out trades below a moving average on both the current timeframe and a longer period timeframe to keep you out of bear markets
Optional ability to set a tighter initial stop level to increase exposure and decrease downside risk on freshly opened trades while you wait for the lower Bollinger Band trailing stop to catch up
Take entries/exits on wicks/stops or wait for candle closes before entry
Select which dates to backtest
Customize Bollinger Band parameters including the ability to have different values for the upper and lower band standard deviation
Dual Bollinger Band Mean ReversionSimple but solid mean reversion indicator with sl and tp levels. Most of the code is based on the built in bollinger bands script. Designed for scalping 1-5 minute timeframes.
The indicator consists of two sets of bollinger bands.
Price has to close below the lower (fast) bollinger band, above the moving average of the (slower) bollinger band.
If price now closes above the lower (fast) bb, the indicator draws a label at the open of the next candle (which would be a potential entry point). Take profit becomes the upper bollinger band, stop loss the same distance below the open of the candle.
I've built in a simple backtesting function that calculates the potential win/loss-ratio. Loss and profit levels are 1:1. Exit strategy could be improved on.
Adjusting the lengths depending on the asset proves to be a good idea.
The slower bollinger bands can help to identify ranging markets and/or trends following regular bollinger bands theory.
Feel free to comment with any changes that you'd like to be made.
Bollinger Band strategy with split, limit, stopEntering a short position after breaking the upper Bollinger Band, entering a long position when entering after breaking the lower Bollinger Band
Provides templates for how to display position average price, stop loss, and profit price using the plot function on the chart, and how to buy splits
After entering the position, if the price crosses the mid-band line, the stop loss is adjusted to the mid-band line.
[Floride] 4 Layers of Bollinger Shadow
This is the indicator I named 4LBS. That means four layers of bollinger shadow.
This is an indicator that I made to see how far past prices could affect the future prices.
And I found some very interesting and beautiful things about it, and I wanted to share them with you, so I publish this indicator.
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Hello, nice to meet you all. my name as a trader is Floride.
First of all, I am not good at English, so there may be many grammatically incorrect sentences below.
I ask for your understanding in advance. Thanks for your understanding.
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What is it?
bollinger Bands usually has one moving average line. And there's two bands that uses same period value of standard deviation as the former MA. And this indicator, by the way, has a 4 shadow bands
that uses twice,three,four,five time the value of the MA's period.
Appearance -
This indicator has four layers, and there are also other layers between them.
You can turn on or off all the shadow layers.
Uses of Indicator and Examples
examples of actual use
1. market strongness diagnosis
-It seems all layers of shadow has some degree resist/support forces.
This indicator has the 4th layer - "L4". (indicated by red lines).
I saw emergence of volatility quite frequently when this last layer breaks through.
When price breaks through this area or line, shade appear on the L4 layer in red. and red cross appear on the that point. This is I called Marlin signal.
If you saw red color shadow in this indicator, then the market may have quite high volatility.
(of course, there's not 100%. Please be careful about this.)
But I've also checked in quite several markets. when this volatility emerges, then also that market seems to started to building quite directional power afterwards.
I mean, after the marlin signal, market tends to have bigger volatility, and tends to go one direction.
again, it's not 100%. but probability is quite high.
But maybe depending on the type of market you need some adjustment.
Recommended values are M2-1.618, M3-2.618
Or M2-1, M3-2. default value is M2-1.618, M3-2.618
and also, if prices breakthrough the channels, or layers, It tends to break through the at once, in first bar. In other words, if price don't break through the first or second candle, it's very likely that the price won't break through channel for the time being.
2. market weakness diagnosis
Usually, without external momentum, the price converges to the average value and does not deviate from the band. And if price fails to break through the most inner first layer-"L1 - the green channel", In that case, the market is usually assumed to be weak, or has low volatility.
- you can set alarms on tuna, marlin signal. and you don't have to watch chart all the time.
3. Signals
I put two signals in this indicator.
One has the name "Tuna," and the second has the name "Marlin."
As you can already tell from the name's feeling, tuna is a weaker signal and marlin is a stronger signal.
Actual example of a signal
1. Tuna signal
- When the tuna signal appears, you can guess that the current market is generally not weak. or has quite good directional force. or medium volatility.
Below is important.
- If a tuna signal appears, there is a possibility that a marlin will appear later.
- In my opinion, it might be wise not to have a position without a tuna signal.
- Almost all of the marlin signal appeared shortly after the tuna signal appeared.
2. Marlin signal
- When marlin signal appears, with a high probability, volatility can increase large.
- In the backtesting of the stock, in some cases, the market moved quite frequently in the direction of the marlin signal.
- The emergence of marlin can be seen as a pretty strong indication of the emergences of direction.
Bollinger Pair TradeNYSE:MA-1.6*NYSE:V
Revision: 1
Author: @ozdemirtrading
Revision 2 Considerations :
- Simplify and clean up plotting
Disclaimer: This strategy is currently working on the 5M chart. Change the length input to accommodate your needs.
For the backtesting of more than 3 months, you may need to upgrade your membership.
Description:
The general idea of the strategy is very straightforward: it takes positions according to the lower and upper Bollinger bands.
But I am mainly using this strategy for pair trading stocks. Do not forget that you will get better results if you trade with cointegrated pairs.
Bollinger band: Moving average & standard deviation are calculated based on 20 bars on the 1H chart (approx 240 bars on a 5m chart). X-day moving averages (20 days as default) are also used in the background in some of the exit strategy choices.
You can define position entry levels as the multipliers of standard deviation (for exp: mult2 as 2 * standard deviation).
There are 4 choices for the exit strategy:
SMA: Exit when touches simple moving average (SMA)
SKP: Skip SMA and do not stop if moving towards 20D SMA, and exit if it touches the other side of the band
SKPXDSMA: Skip SMA if moving towards 20D SMA, and exit if it touches 20D SMA
NoExit: Exit if it touches the upper & lower band only.
Options:
- Strategy hard stop: if trade loss reaches a point defined as a percent of the initial capital. Stop taking new positions. (not recommended for pair trade)
- Loss per trade: close position if the loss is at a defined level but keeps watching for new positions.
- Enable expected profit for trade (expected profit is calculated as the distance to SMA) (recommended for pair trade)
- Enable VIX threshold for the following options: (recommended for volatile periods)
- Stop trading if VIX for the previous day closes above the threshold
- Reverse active trade direction if VIX for the previous day is above the threshold
- Take reverse positions (assuming the Bollinger band is going to expand) for all trades
Backtesting:
Close positions after a defined interval: mark this if you want the close the final trade for backtesting purposes. Unmark it to get live signals.
Use custom interval: Backtest specific time periods.
Other Options:
- Use EMA: use an exponential moving average for the calculations instead of simple moving average
- Not against XDSMA: do not take a position against 20D SMA (if X is selected as 20) (recommended for pairs with a clear trend)
- Not in XDSMA 1 DEV: do not take a position in 20D SMA 1*standart deviation band (recommended if you need to decrease # of trades and increase profit for trade)
- Not in XDSMA 2 DEV: do not take a position in 20D SMA 2*standart deviation band
Session management:
- Not in session: Session start and end times can be defined here. If you do not want to trade in certain time intervals, mark that session.(helps to reduce slippage and get more realistic backtest results)
OB EmaCross + BBThis is my setup and the way I like to trade.
It is based in an EMA cross ( 9 x 21) and the Bollinger Bands without the central Moving Average.
I prefer to use the EMA cross in the middle of the bands.
It is also possible to activate "Colored Bars" to paint the candles according to the EMA cross: green if the candles are above both EMAs, white when at least one of them are in between EMAs and red if they are both below EMAs.
My operational works like this:
- Buy when price is above EMAs
- Sell when price is belos EMAs
Of course, I use BB to give me the direction of the trend and I only enter in a trade when the price is in the same trend of the BB.
I avoid trades when the bands are getting narrowed.
I hope you enjoy my indicator and let me know if you have any suggestion! ;)
Ichimoku Cloud and Bollinger Bands (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
The Bollinger Bands are among the most famous and widely used indicators. A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average ( SMA ) of a security's price, but which can be adjusted to user preferences. They can suggest when an asset is oversold or overbought in the short term, thus providing the best time for buying and selling it.
This strategy combines the Ichimoku Cloud with Bollinger Bands to better enter trades.
Long orders are placed when these basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
The closing price is greater than the upper standard deviation of the Bollinger Bands
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
The upper standard deviation of the Bollinger Band is greater than the closing price
The script is backtested from 1 January 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on BTC 30m/1h, ETH 2h, MATIC 2h/30m, AVAX 1h/2h, SOL 45m timeframes
