Trend Following with Bollinger BandsThis is a trend following system which uses the Bollinger Bands instead of the Donchian Channels.
Long position:
* Price closes above the middle line.
* The fast EMA (in this case the 40) crosses over or is above the slow one (in this case the 120)
Short position:
* Price closes below the middle line.
* The fast EMA crosses under or is below the slow one.
Stoploss:
* 4 ATRs away from the price.
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Cooltoyz: Multi level Bollinger ShadowsFinally, another gadget for the cooltoyz series :)
this is a simple tool to allow vizualizing bollinger bands with several values/levels. usually boll bands have the levels at 1.5, 2, 3, for multiplier of standadrd deviations. but, just changing those values, we can apply fibbonnaci levels to the bands.
The inputs on this indicator come with fib levels by default, but the values are part of input fields, so it's easy to change to whatever you prefer, back to the calssic std.deviation values, for example. also, the colors are set to make a visual slope, so it's more instinctive to see how strong the candles are moving.
just play with it, and like it. or not :)
(Custom)Bollingers Bands Fibonacci ratiosThis is a modified Bollinger bands that uses EMA,with ATH to get a main average and then takes Standard Deviations by Fib ratios outwards. It is very useful for Entries and exits. I Typically use it to exit longs or shorts, entries are a bit harder. Generally the price will wick just barely or briefly into the end of one of the bands and then leave, it PINGs it and that is your exit. It is a little hard to predict in real time and set a Take profit at any exact point because it is always moving, but because it constantly adjust it is pretty damn accurate at nailing it. They sorta work at any timeframe, so its up to you, though for Crypto it doesnt do so well above 4hr because it can pump really hard or dump hard and super stretch the bands. Best numbers for the Average are Fib numbers. Stick to using 13, 21, and 34. 34 is my favorite and works best for me, But its up to you. Sometimes its benificial to use 34 on lower timeframes and maybe a smaller number on larger ones IE 21 or 2 or 4hr charts.
Once again it is up to you how to use it. I dont have credit for the original version of it. It is someone else's who I think modified another person's version lol. Ill try and find their name and post a comment though for who I took the original code from.
linear and Bollingers Bands and Fibonacci ratios This model give us the following
1 .linear regression channel
2.dynamic upper and lower fibs
3. upper and lower bollinger bands
each specific to the time frame that you use
So by using all 3 in one indicator it easy to see ressistance and support level
[KL] BOLL + MACD Strategy v2 (published)This strategy will look for opportunities when price touches the lower Bollinger band, then enters Long when it anticipates a MACD crossover signal.
Setup: on 1-day chart interval
Exits when either (a) hitting trailing stop loss, or (b) meeting risk-to-reward, if defined by user.
RSI with Bollinger Bands Scalp Startegy (1min)
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The "RSI with Bollinger Bands Scalp Strategy (1min)" is a highly effective tool designed for traders who engage in short-term scalping on the 1-minute chart. This indicator combines the strengths of the RSI (Relative Strength Index) and Bollinger Bands to generate precise buy signals, helping traders make quick and informed decisions in fast-moving markets.
How It Works:
RSI (Relative Strength Index):
The RSI is a widely-used momentum oscillator that measures the speed and change of price movements. It operates on a scale of 0 to 100 and helps identify overbought and oversold conditions in the market.
This strategy allows customization of the RSI's lower and upper bands (default settings: 30 for the lower band and 70 for the upper band) and the RSI length (default: 14).
Bollinger Bands:
Bollinger Bands consist of a central moving average (the basis) and two bands that represent standard deviations above and below the basis. These bands expand and contract based on market volatility.
In this strategy, the Bollinger Bands are used to identify potential buy and sell signals based on the price's relationship to the upper and lower bands.
Signal Generation:
Buy Signal: A buy signal is triggered when two conditions are met:
The RSI value falls below the specified lower band, indicating an oversold condition.
The price crosses below the lower Bollinger Band.
The buy signal is then issued on the first positive candle (where the closing price is greater than or equal to the opening price) after these conditions are met.
Sell Signal: In this version of the strategy, the sell signal is currently disabled to focus solely on generating and optimizing the buy signals for scalping.
Strategy Highlights:
This indicator is particularly effective for traders who focus on 1-minute charts and want to capitalize on rapid price movements.
The combination of RSI and Bollinger Bands ensures that buy signals are only generated during significant oversold conditions, helping to filter out false signals.
Customization:
Users can adjust the RSI length, Bollinger Bands length, and the standard deviation multiplier to better fit their specific trading style and the asset they are trading.
The moving average type for Bollinger Bands can be selected from various options, including SMA, EMA, SMMA, WMA, and VWMA, allowing further customization based on individual preferences.
Usage:
Use this indicator on a 1-minute chart to identify potential buy opportunities during short-term price dips.
Since the sell signals are disabled, this strategy is best used in conjunction with other indicators or strategies to manage exit points effectively.
This "RSI with Bollinger Bands Scalp Strategy (1min)" indicator is a valuable tool for traders looking to enhance their short-term trading performance by focusing on high-probability entry points in volatile market conditions.
Colored Directional Movement and Bollinger Band's Cloud by DGTThis study combines Bollinger Bands, one of the most popular technical analysis indicators on the market, and Directional Movement (DMI), which is another quite valuable technical analysis indicator.
Bollinger Bands used in conjunction with Directional Movement (DMI) may help getting a better understanding of the ever changing landscape of the market and perform more advanced technical analysis
Here are details of the concept applied
1- Plots Bollinger Band’s (BB) Cloud colored based on Bollinger Band Width (BBW) Indicator’s value
Definition
Bollinger Bands (created by John Bollinger ) are a way to measure volatility . As volatility increases, the wider the bands become and similarly as volatility decreases, the gap between bands narrows
Bollinger Bands, in widely used approach, consist of a band of three lines. Likewise common usage In this study a band of five lines is implemented
The line in the middle is a Simple Moving Average (SMA) set to a period of 20 bars (the most popular usage). The SMA then serves as a base for the Upper and Lower Bands. The Upper and Lower Bands are used as a way to measure volatility by observing the relationship between the Bands and price. the Upper and Lower Bands in this study are set to two and three standard deviations (widely used form is only two standard deviations) away from the SMA (The Middle Line), hence there are two Upper Bands and two Lower Bands. The background between two Upper Bands is filled with a green color and the background between two Lower Bands is filled with a red color. In this we have obtained Bollinger Band’s (BB) Clouds (Upper Cloud and Lower Cloud)
Additionally the intensity of the color of the background is calculated with Bollinger Bands Width ( BBW ), which is a technical analysis indicator derived from the standard Bollinger Bands indicator. Bollinger Bands Width, quantitatively measures the width between the Upper and Lower Bands. In this study the intensity of the color of the background is increased if BBW value is greater than %25
What to look for
Price Actions : Prices are almost always within the bands especially at this study the bands of three standard deviations away from the SMA. Price touching or breaking the BB Clouds could be considered as buying or selling opportunity. However this is not always the case, there are exceptions such as Walking the Bands. “Walking the Bands” can occur in either a strong uptrend or a strong downtrend. During a strong trend, there may be repeated instances of price touching or breaking through the BB Clouds. Each time that this occurs, it is not a signal, it is a result of the overall strength of the move. In this study in order to get a better understanding of the trend and add ability to perform some advanced technical analysis Directional Movement Indicator (DMI) is added to be used in conjunction with Bollinger Bands.
Cycling Between Expansion and Contraction : One of the most well-known theories in regards to Bollinger Bands is that volatility typically fluctuates between periods of expansion (Bands Widening : surge in volatility and price breaks through the BB Cloud) and contraction (Bands Narrowing : low volatility and price is moving relatively sideways). Using Bollinger Bands in conjunction with Bollinger Bands Width may help identifying beginning of a new directional trend which can result in some nice buying or selling signals. Of course the trader should always use caution
2- Plots Colored Directional Movement Line
Definition
Directional Movement (DMI) (created by J. Welles Wilder ) is actually a collection of three separate indicators combined into one. Directional Movement consists of the Average Directional Index (ADX) , Plus Directional Indicator (+D I) and Minus Directional Indicator (-D I) . ADX's purposes is to define whether or not there is a trend present. It does not take direction into account at all. The other two indicators (+DI and -DI) are used to compliment the ADX. They serve the purpose of determining trend direction. By combining all three, a technical analyst has a way of determining and measuring a trend's strength as well as its direction.
This study combines all three lines in a single colored shapes series plotted on the top of the price chart indicating the trend strength with different colors and its direction with triangle up and down shapes.
What to look for
Trend Strength : Analyzing trend strength is the most basic use for the DMI. Wilder believed that a DMI reading above 25 indicated a strong trend, while a reading below 20 indicated a weak or non-existent trend
Crosses : DI Crossovers are the significant trading signal generated by the DMI
With this study
A Strong Trend is assumed when ADX >= 25
Bullish Trend is defined as (+D I > -DI ) and (ADX >= 25), which is plotted as green triangle up shape on top of the price chart
Bearish Trend is defined as (+D I < -DI ) and (ADX >= 25), which is plotted as red triangle down shape on top of the price chart
Week Trend is assumed when 17< ADX < 25, which is plotted as black triangles up or down shape, depending on +DI-DI values, on top of the price chart
Non-Existent Trend is assumed when ADX < 17, which is plotted as yellow triangles up or down shape, depending on +DI-DI values, on top of the price chart
Additionally intensity of the colors used in all cases above are defined by comparing ADX’s current value with its previous value
Summary of the Study:
Even more simplified and visually enhanced DMI drawing comparing to its classical usage (may require a bit practice to get used to it)
As said previously, to get a better understanding of the trend and add ability to perform some advanced technical analysis Directional Movement Indicator (DMI) is used in conjunction with Bollinger Bands.
PS: Analysis and tests are performed with high volatile Cryptocurrency Market
Source of References : definitions provided herein are gathered from TradingView’s knowledgebase/library
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
MACD & Bollinger Bands Overbought OversoldMACD & Bollinger Bands Reversal Detector
This indicator combines the power of MACD divergence analysis with Bollinger Bands to help traders identify potential reversal points in the market.
Key Features:
MACD Calculation & Divergence:
The script calculates the standard MACD components (MACD line, Signal line, and Histogram) using configurable fast, slow, and signal lengths. It includes a simplified divergence detection mechanism that flags potential bearish divergence—when the price makes a new swing high but the MACD fails to confirm the move. This divergence can serve as an early warning that the bullish momentum is waning.
Bollinger Bands:
A 20-period simple moving average (SMA) is used as the basis, with upper and lower bands drawn at 2 standard deviations. These bands help visualize overbought and oversold conditions. For example, a close at or above the upper band suggests the market may be overextended (overbought), while a close at or below the lower band may indicate oversold conditions.
Visual Alerts:
The indicator plots the Bollinger Bands on the chart along with labels marking overbought and oversold conditions. Additionally, it marks potential bearish divergence with a downward triangle, providing a quick visual cue to traders.
Usage Suggestions:
Confluence with Other Signals:
Use the divergence signals and Bollinger Band conditions as filters. For example, even if another indicator suggests a long entry, you might avoid it if the price is overbought or if MACD divergence warns of weakening momentum.
Customization:
All key parameters, such as the MACD lengths, Bollinger Band period, and multiplier, are fully configurable. This flexibility allows you to adjust the indicator to suit different markets or trading styles.
Disclaimer:
This script is provided for educational purposes only. Always perform your own analysis and backtesting before trading with live capital.
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.
VWAP Bollinger Band Crossover Breakout with ResistanceCredit to © Jesus_Salvatierra for VWAP script
This script help you find a trend in momentum stock that is about to breakout and shows resistance point. This script utilizes Bollinger bands VWAP and is good for intra day charts.
VWAP, or Volume Weighted Average Price, is a technical analysis tool used to measure the average price a security trades at during a given time period, weighted by the trading volume for each price level. It is commonly used by traders and investors to identify the true average price of a security and to assess whether they are buying or selling at a fair price.
A Bollinger Band is a technical analysis tool that uses standard deviation to measure the volatility of a security. The Bollinger Band is typically composed of three lines: the upper band, the lower band, and the middle band. The middle band is a simple moving average of the security's price, while the upper and lower bands are calculated based on the standard deviation of the security's price.
A Bollinger Band crossover occurs when the price of a security crosses above or below one of the bands. When the price crosses above the upper band, it is considered overbought, while when it crosses below the lower band, it is considered oversold. Traders often use Bollinger Band crossovers as a signal to enter or exit a position, depending on their trading strategy.
The VWAP and Bollinger Band crossover are two separate technical analysis tools that can be used in conjunction with each other. When a security's price crosses above or below the Bollinger Band, traders may look to the VWAP to confirm whether the security is trading at a fair price. If the security is trading above the VWAP, it may be overvalued, while if it is trading below the VWAP, it may be undervalued. Similarly, traders may use the Bollinger Band crossover as a signal to enter or exit a position, while also taking into account the VWAP to assess whether the price is fair.
[blackcat] L2 Center Band BollingerLevel: 2
Background
Bollinger bands are a type of price envelope developed by John Bollinger , where price envelopes define upper and lower price ranges. Bollinger Bands are envelopes that are represented with a standard deviation above and below a simple moving average of price. Because the spacing of the bands is based on the standard deviation, they adjust for fluctuations in the volatility of the underlying price.
Function
L2 Center Band Bollinger takes advantage of Bollinger band to detect sideways and trends. At the same time, I made an improvement and the center Bollinger line as a fast-slow-line color band. The algorithm of the color center band is composed of price and volume information, which produces gold cross and dead cross for short term long and short entries.
Key Signal
aa10 --> bollinger middle fast line
aa12 --> bollinger middle slow line
up --> upper envelope
dn --> lower envelope
Pros and Cons
Pros:
1. it can easy see the sections of trends or sideways by width of Bollinger band
2. long and short entries are disclosed
Cons:
1. Some noise is still incorporated in trends
2. due to this is un-optimized version, time frame and trading pairs need to be selected
3. Bollinger re-entry signal is not disclosed yet
Remarks
The long and short signal is compatible to @nilux strategy backtest framework for sandardized backtest scheme: Backtest
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Waldo Momentum Cloud Bollinger Bands (WMCBB)
Title: Waldo Momentum Cloud Bollinger Bands (WMCBB)
Description:
Introducing the "Waldo Momentum Cloud Bollinger Bands (WMCBB)," an innovative trading tool crafted for those who aim to deepen their market analysis by merging two dynamic technical indicators: Dynamic RSI Bollinger Bands and the Waldo Cloud.
What is this Indicator?
WMCBB integrates the volatility-based traditional Bollinger Bands with a momentum-sensitive approach through the Relative Strength Index (RSI). Here’s how it works:
Dynamic RSI Bollinger Bands: These bands dynamically adjust according to the RSI, which tracks the momentum of price movements. By scaling the RSI to align with price levels, we generate bands that not only reflect market volatility but also the underlying momentum, offering a refined view of overbought and oversold conditions.
Waldo Cloud: This feature adds a layer of traditional Bollinger Bands, visualized as a 'cloud' on your chart. It employs standard Bollinger Band methodology but enhances it with additional moving average layers to better define market trends.
The cloud's color changes dynamically based on various market conditions, providing visual signals for trend direction and potential trend reversals.
Why Combine These Indicators?
Combining Dynamic RSI Bollinger Bands with the Waldo Cloud in WMCBB aims to:
Enhance Trend Identification: The Waldo Cloud's color-coded system aids in recognizing the overarching market trend, while the Dynamic RSI Bands give insights into momentum changes within that trend, offering a comprehensive view.
Improve Volatility and Momentum Analysis: While traditional Bollinger Bands measure market volatility, integrating RSI adds a layer of momentum analysis, potentially leading to more accurate trading signals.
Visual Clarity: The unified color scheme for both sets of bands, which changes according to RSI levels, moving average crossovers, and price positioning, simplifies the process of gauging market sentiment at a glance.
Customization: Users have the option to toggle the visibility of moving averages (MA) through the settings, allowing for tailored analysis based on individual trading strategies.
Usage:
Utilize WMCBB to identify potential trend shifts by observing price interactions with the dynamic bands or changes in the Waldo Cloud's color.
Watch for divergences between price movements and RSI to forecast potential market reversals or continuations.
This combination shines in sideways markets where traditional indicators might fall short, as it provides additional context through RSI momentum analysis.
Settings:
Customize parameters for both the Dynamic RSI and Waldo Cloud Bollinger Bands, including the calculation source, standard deviation factors, and moving average lengths.
WMCBB is perfect for traders seeking to enhance their market analysis through the synergy of momentum and volatility, all while maintaining visual simplicity. Trade with greater insight using the Waldo Momentum Cloud Bollinger Bands!
Bollingers Bands Fibonacci ratios_copy of FOMOBollinger Bands Fibonacci Ratios (FiBB)
This TradingView script is a powerful tool that combines the classic Bollinger Bands with Fibonacci ratios to help traders identify potential support and resistance zones based on market volatility.
Key Features:
Dynamic Fibonacci Levels: The script calculates additional levels around a Simple Moving Average (SMA) using Fibonacci ratios (default: 1.618, 2.618, and 4.236). These levels adapt to market volatility using the Average True Range (ATR).
Customizable Parameters: Users can modify the length of the SMA and the Fibonacci ratios to fit their trading strategy and time frame.
Visual Representation: The indicator plots three upper and three lower bands, with color-coded transparency for easy interpretation.
Central SMA Line: The core SMA line provides a baseline for price movement and trend direction.
Shaded Range: The script visually fills the area between the outermost bands to highlight the overall range of price action.
How to Use:
Use the upper bands as potential resistance zones and the lower bands as potential support zones.
Look for price interactions with these levels to identify opportunities for breakout, trend continuation, or reversal trades.
Combine with other indicators or price action analysis to enhance decision-making.
This script is ideal for traders who want a unique blend of Fibonacci-based analysis and Bollinger Bands to better navigate market movements.
RSI and Bollinger Bands Screener [deepakks444]Indicator Overview
The indicator is designed to help traders identify potential long signals by combining the Relative Strength Index (RSI) and Bollinger Bands across multiple timeframes. This combination allows traders to leverage the strengths of both indicators to make more informed trading decisions.
Understanding RSI
What is RSI?
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. Developed by J. Welles Wilder Jr. for stocks and forex trading, the RSI is primarily used to identify overbought or oversold conditions in an asset.
How RSI Works:
Calculation: The RSI is calculated using the average gains and losses over a specified period, typically 14 periods.
Range: The RSI oscillates between 0 and 100.
Interpretation:
Key Features of RSI:
Momentum Indicator: RSI helps identify the momentum of price movements.
Divergences: RSI can show divergences, where the price makes a higher high, but the RSI makes a lower high, indicating potential reversals.
Trend Identification: RSI can also help identify trends. In an uptrend, the RSI tends to stay above 50, and in a downtrend, it tends to stay below 50.
Understanding Bollinger Bands
What is Bollinger Bands?
Bollinger Bands are a type of trading band or envelope plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a price. Developed by financial analyst John Bollinger, Bollinger Bands consist of three lines:
Upper Band: SMA + (Standard Deviation × Multiplier)
Middle Band (Basis): SMA
Lower Band: SMA - (Standard Deviation × Multiplier)
How Bollinger Bands Work:
Volatility Measure: Bollinger Bands measure the volatility of the market. When the bands are wide, it indicates high volatility, and when the bands are narrow, it indicates low volatility.
Price Movement: The price tends to revert to the mean (middle band) after touching the upper or lower bands.
Support and Resistance: The upper and lower bands can act as dynamic support and resistance levels.
Key Features of Bollinger Bands:
Volatility Indicator: Bollinger Bands help traders understand the volatility of the market.
Mean Reversion: Prices tend to revert to the mean (middle band) after touching the bands.
Squeeze: A Bollinger Band Squeeze occurs when the bands narrow significantly, indicating low volatility and a potential breakout.
Combining RSI and Bollinger Bands
Strategy Overview:
The strategy aims to identify potential long signals by combining RSI and Bollinger Bands across multiple timeframes. The key conditions are:
RSI Crossing Above 60: The RSI should cross above 60 on the 15-minute timeframe.
RSI Above 60 on Higher Timeframes: The RSI should already be above 60 on the hourly and daily timeframes.
Price Above 20MA or Walking on Upper Bollinger Band: The price should be above the 20-period moving average of the Bollinger Bands or walking on the upper Bollinger Band.
Strategy Details:
RSI Calculation:
Calculate the RSI for the 15-minute, 1-hour, and 1-day timeframes.
Check if the RSI crosses above 60 on the 15-minute timeframe.
Ensure the RSI is above 60 on the 1-hour and 1-day timeframes.
Bollinger Bands Calculation:
Calculate the Bollinger Bands using a 20-period moving average and 2 standard deviations.
Check if the price is above the 20-period moving average or walking on the upper Bollinger Band.
Entry and Exit Signals:
Long Signal: When all the above conditions are met, consider a long entry.
Exit: Exit the trade when the price crosses below the 20-period moving average or the stop-loss is hit.
Example Usage
Setup:
Add the indicator to your TradingView chart.
Configure the inputs as per your requirements.
Monitoring:
Look for the long signal on the chart.
Ensure that the RSI is above 60 on the 15-minute, 1-hour, and 1-day timeframes.
Check that the price is above the 20-period moving average or walking on the upper Bollinger Band.
Trading:
Enter a long position when the criteria are met.
Set a stop-loss below the low of the recent 15-minute candle or based on your risk management rules.
Monitor the trade and exit when the RSI returns below 60 on any of the timeframes or when the price crosses below the 20-period moving average.
House Rules Compliance
No Financial Advice: This strategy is for educational purposes only and should not be construed as financial advice.
Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Past Performance: Past performance is not indicative of future results. Always conduct your own research and analysis.
TradingView Guidelines: Ensure that any shared scripts or strategies comply with TradingView's terms of service and community guidelines.
Conclusion
This strategy combines RSI and Bollinger Bands across multiple timeframes to identify potential long signals. By ensuring that the RSI is above 60 on higher timeframes and that the price is above the 20-period moving average or walking on the upper Bollinger Band, traders can make more informed decisions. Always remember to conduct thorough research and use proper risk management techniques.
DCA Strategy with Mean Reversion and Bollinger BandDCA Strategy with Mean Reversion and Bollinger Band
The Dollar-Cost Averaging (DCA) Strategy with Mean Reversion and Bollinger Bands is a sophisticated trading strategy that combines the principles of DCA, mean reversion, and technical analysis using Bollinger Bands. This strategy aims to capitalize on market corrections by systematically entering positions during periods of price pullbacks and reversion to the mean.
Key Concepts and Principles
1. Dollar-Cost Averaging (DCA)
DCA is an investment strategy that involves regularly purchasing a fixed dollar amount of an asset, regardless of its price. The idea behind DCA is that by spreading out investments over time, the impact of market volatility is reduced, and investors can avoid making large investments at inopportune times. The strategy reduces the risk of buying all at once during a market high and can smooth out the cost of purchasing assets over time.
In the context of this strategy, the Investment Amount (USD) is set by the user and represents the amount of capital to be invested in each buy order. The strategy executes buy orders whenever the price crosses below the lower Bollinger Band, which suggests a potential market correction or pullback. This is an effective way to average the entry price and avoid the emotional pitfalls of trying to time the market perfectly.
2. Mean Reversion
Mean reversion is a concept that suggests prices will tend to return to their historical average or mean over time. In this strategy, mean reversion is implemented using the Bollinger Bands, which are based on a moving average and standard deviation. The lower band is considered a potential buy signal when the price crosses below it, indicating that the asset has become oversold or underpriced relative to its historical average. This triggers the DCA buy order.
Mean reversion strategies are popular because they exploit the natural tendency of prices to revert to their mean after experiencing extreme deviations, such as during market corrections or panic selling.
3. Bollinger Bands
Bollinger Bands are a technical analysis tool that consists of three lines:
Middle Band: The moving average, usually a 200-period Exponential Moving Average (EMA) in this strategy. This serves as the "mean" or baseline.
Upper Band: The middle band plus a certain number of standard deviations (multiplier). The upper band is used to identify overbought conditions.
Lower Band: The middle band minus a certain number of standard deviations (multiplier). The lower band is used to identify oversold conditions.
In this strategy, the Bollinger Bands are used to identify potential entry points for DCA trades. When the price crosses below the lower band, this is seen as a potential opportunity for mean reversion, suggesting that the asset may be oversold and could reverse back toward the middle band (the EMA). Conversely, when the price crosses above the upper band, it indicates overbought conditions and signals potential market exhaustion.
4. Time-Based Entry and Exit
The strategy has specific entry and exit points defined by time parameters:
Open Date: The date when the strategy begins opening positions.
Close Date: The date when all positions are closed.
This time-bound approach ensures that the strategy is active only during a specified window, which can be useful for testing specific market conditions or focusing on a particular time frame.
5. Position Sizing
Position sizing is determined by the Investment Amount (USD), which is the fixed amount to be invested in each buy order. The quantity of the asset to be purchased is calculated by dividing the investment amount by the current price of the asset (investment_amount / close). This ensures that the amount invested remains constant despite fluctuations in the asset's price.
6. Closing All Positions
The strategy includes an exit rule that closes all positions once the specified close date is reached. This allows for controlled exits and limits the exposure to market fluctuations beyond the strategy's timeframe.
7. Background Color Based on Price Relative to Bollinger Bands
The script uses the background color of the chart to provide visual feedback about the price's relationship with the Bollinger Bands:
Red background indicates the price is above the upper band, signaling overbought conditions.
Green background indicates the price is below the lower band, signaling oversold conditions.
This provides an easy-to-interpret visual cue for traders to assess the current market environment.
Postscript: Configuring Initial Capital for Backtesting
To ensure the backtest results align with the actual investment scenario, users must adjust the Initial Capital in the TradingView strategy properties. This is done by calculating the Initial Capital as the product of the Total Closed Trades and the Investment Amount (USD). For instance:
If the user is investing 100 USD per trade and has 10 closed trades, the Initial Capital should be set to 1,000 USD.
Similarly, if the user is investing 200 USD per trade and has 24 closed trades, the Initial Capital should be set to 4,800 USD.
This adjustment ensures that the backtesting results reflect the actual capital deployed in the strategy and provides an accurate representation of potential gains and losses.
Conclusion
The DCA strategy with Mean Reversion and Bollinger Bands is a systematic approach to investing that leverages the power of regular investments and technical analysis to reduce market timing risks. By combining DCA with the insights offered by Bollinger Bands and mean reversion, this strategy offers a structured way to navigate volatile markets while targeting favorable entry points. The clear entry and exit rules, coupled with time-based constraints, make it a robust and disciplined approach to long-term investing.
Fibonacci Enhanced Bollinger BandsDiscover the synergistic power of Fibonacci ratios with traditional Bollinger Bands in the 'Fibonacci Enhanced Bollinger Bands' indicator. Ideal for traders seeking dynamic price levels for strategic entries and exits, this tool adds a unique Fibonacci twist to your technical analysis toolkit.
Introduction to Fibonacci Enhanced Bollinger Bands
'Fibonacci Enhanced Bollinger Bands' is a trading indicator that combines the classic Bollinger Bands approach with the powerful insights of Fibonacci ratios. By integrating these two concepts, this indicator offers traders a unique perspective on market volatility and potential support/resistance levels.
How It Works
Core Concept : The indicator calculates Bollinger Bands using a selected Fibonacci ratio. This ratio is applied to the standard deviation of the price series, providing a dynamic range around a Simple Moving Average (SMA).
Trading Strategies
Long Opportunities : The area below the lower band can be considered a potential zone for long positions. Prices in this zone may indicate an oversold market condition, suggesting a possible reversal or pullback.
Short Opportunities : Conversely, the area above the upper band might signal short-selling opportunities. Prices in this region could imply an overbought scenario, potentially leading to a price decline.
Versatility : Whether you're a day trader, swing trader, or long-term investor, this indicator adapts to various timeframes and assets, making it a versatile tool in your trading arsenal.
Conclusion
The 'Fibonacci Enhanced Bollinger Bands' indicator is designed for traders who wish to leverage the power of Fibonacci ratios in conjunction with the volatility insights provided by Bollinger Bands. It's an excellent tool for identifying potential reversal zones and refining entry and exit points. Try it out to enhance your market analysis and support your trading decisions with the combined wisdom of Fibonacci and Bollinger Bands.
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.
Volume Weighted Hull Moving Average Bollinger Bands (VWHBB)Title: "Volume Weighted Hull Moving Average Bollinger Bands Indicator for TradingView"
Abstract: This script presents a TradingView indicator that displays Bollinger Bands based on the volume weighted Hull Moving Average (VEHMA) of a financial asset. The VEHMA is a technical analysis tool that combines the reduced lag of the Hull Moving Average (HMA) with volume weighting to provide a more sensitive indicator of market trends and dynamics. The Bollinger Bands are a volatility indicator that plot upper and lower bands around a moving average, which can help traders identify potential trend changes and overbought or oversold conditions. The script allows the user to customize the VEHMA length and Bollinger Band deviation parameters.
Introduction: Bollinger Bands are a popular technical analysis tool used to identify potential trend changes and overbought or oversold conditions in the market. They are constructed by plotting upper and lower bands around a moving average, with the width of the bands determined by the volatility of the asset. The VEHMA is a variant of the Hull Moving Average (HMA) that combines the reduced lag of the HMA with volume weighting to provide a more sensitive indicator of market trends and dynamics.
Methodology: The VEHMA is calculated using a weighted average of two exponential moving averages (EMAs), with the weighting based on the volume of the asset and the length of the moving average. The Bollinger Bands are calculated by plotting the VEHMA plus and minus a standard deviation of the asset's price over a specified period. The standard deviation is a measure of the volatility of the asset and helps to adjust the width of the bands based on market conditions.
Implementation: The script is implemented in TradingView's PineScript language and can be easily added to any chart on the platform. The user can customize the VEHMA length and Bollinger Band deviation parameters to suit their trading strategy. The VEHMA, Bollinger Bands, and fill colors are plotted on the chart to provide a visual representation of the indicator.
Conclusion: The VEHMA Bollinger Bands indicator is a useful tool for traders looking to identify potential trend changes and overbought or oversold conditions in the market. This script provides a convenient and customizable implementation of the indicator for use in TradingView.
Power Of Stocks - Bollinger Band & 5Ema Indicator - Keanu_RiTz
Power of Stocks - Bollinger band & 5ema Strategy
In this script you get to take Buy/Sell trades using the 3 options mentioned below.(Alerts with price levels for buy/sell at , SL & Target are included in this one)
1. Combined Strategy :- uses confirmation from both strategies to trade.
2. Bollinger band Strategy :- use the Bollinger band Strategy to trade.
3. 5ema Strategy :- use the 5ema Strategy to trade.
1. Combined Strategy :-
for Selling :- we will go short/sell only when conditions of both strategies are satisfied.
i.e. when a candle is completely above the upper Bollinger band & completely above the 5ema then it will be our Alert Candle.
We Short/Sell only when the low of the Alert candle is broken or when the candle closes below the close of the Alert Candle.
SL will be above high of the Alert Candle. Target will be minimum 1:3 or as per your emotions.
for Buying:- we will go Long/Buy only when conditions of both strategies are satisfied.
i.e. when a candle is completely below the lower Bollinger band & completely below the 5ema then it will be our Alert Candle.
We go Long/Buy only when the high of the Alert candle is broken or when the candle closes above the close of the Alert Candle.
SL will be below low of the Alert Candle. Target will be minimum 1:3 or as per your emotions.
2. Power of Stocks - Bollinger Band Strategy :-
Bollinger band with standard deviation = 1.5
when a candle is completely above the upper Bollinger band, that candle will be called a signal/alert candle.
Initiate a Sell trade when that alert candles low is broken. SL will be above high of that alert candle.
Risk to reward ratio will be 1:4 i.e. target will be 4 times the SL.
when a candle is completely below the lower Bollinger band, that candle will be called a signal/alert candle.
Initiate a Buy trade when that alert candles high is broken. SL will be below low of that alert candle.
Risk to reward ratio will be 1:4 i.e. target will be 4 times the SL.
other rules for Options buying:- minimum 15min timeframe
The day you initiate the position , you should be in profit above 10%-15% then only you should carry forward that position overnight, otherwise squareoff your trade on that day only.
Buy ATM or slightly OTM, SL max 100 points , target 1:4
for Long-term/Investing :- Minimum Weekly
If candle is outside the lower band then initiate a Buy trade when that candles High is broken. Sl will be below Low of that candle.
for Long-term Target will be according to your emotions.
3. Power of Stocks - 5ema Strategy (target minimum 1:3)
Timeframe -
5 min for Selling (Sell Futures/index/stocks or buy Put)
15 min for Buying (Buy Futures/index/stocks or sell Put)
for selling stocks :-
you should enter trade within 10am , don't look for entries after that time. take only 2 entries a day.
for selling Index(Banknifty) :-
you can take trade at anytime of the day whenever conditions get satisfied. you can take multiple entries in banknifty as it is very volatile.
for options choose atm strikes: selling trade
sl for premium between 200-300 :- 20-30 points SL
sl for premium between 400-500 :- 40-50 points SL
sl for premium between 500-600 :- 50-60 points SL
Subhashish Pani's (power of stocks) 5 EMA Strategy:-
It plots 5 EMA and Buy/Sell signals with Target & Stoploss levels.
What is Subhashish Pani's (power of stocks) 5 EMA Strategy :-
His strategy is very simple to understand. for intraday use 5 minutes timeframe for selling. You can sell futures, sell call or buy Puts in selling strategy.
What this strategy tries to do is , it tries to catch the tops, so when you sell at top & it turns out to be a reversal point then you can get good profit.
this will hit stop losses often, but stop losses are small and minimum target should be 1:3. but if you stay with the trend you can get big profits.
According to Subhashish Pani this strategy has 60% success rate.
Strategy for Selling (Short future/Call/stock or buy Put)
When ever a Candle closes completely above 5 ema (no part of candle should be touching the 5ema), then that candle should be considered as Alert Candle.
If the next candle is also completely above 5 ema and it has not broken the low of previous alert candle, Then the previous Alert Candle should be ignored and the new candle should be considered as new Alert Candle.
so if this goes on then continue shifting the Alert Candle, but whenever the next candle breaks the low of the Alert Candle we should take the Short trade (Short future/Call/stock or buy Put).
Stoploss will be above high of the Alert Candle and minimum target will be 1:3.
Strategy for Buying (Buy future/Call/stock or sell Put)
When ever a Candle closes completely below 5 ema (no part of candle should be touching the 5ema), then that candle should be considered as Alert Candle.
If the next candle is also completely below 5 ema and it has not broken the high of previous alert candle, Then the previous Alert Candle should be ignored and the new candle should be considered as new Alert Candle.
so if this goes on then continue shifting the Alert Candle, but whenever the next candle breaks the high of the Alert Candle we should take the Long trade (Buy future/Call/stock or sell Put).
Stoploss will be below low of the Alert Candle and minimum target will be 1:3.
Buy/Sell with extra conditions :
it just adds 1 more condition to buying/selling
1. checks if closing of current candle is lower than alert candles closing for Selling & checks if closing of current candle is higher than alert candles closing for Buyling.
This can sometimes save you from false moves but by using this, you can also miss out on big moves as you'll enter trade after candle closing instead of entering at break of high/low.
Note :- According to Subhashish Pani Timeframe for intraday buying should be 15 minutes Timeframe.
If you haven't understood the strategy by reading above description, then search for "Subhashish Pani's (power of stocks) 5 EMA Strategy" on YouTube to get a deeper understanding.
Note:- This is not only for Intraday trading , you can use this strategy for Positional/Swing trading as well. If you use this on Monthly Timeframe then it can be very good for Long Term Investing as well.
Rules will be same for all types of trades & Timeframes.
Double Bollinger StrategyFrom "Bitcoin Trading Strategies: Algorithmic Trading Strategies For Bitcoin And Cryptocurrency That Work" by David Hanson.
*Works better with 1hr time frame and some input optimisations.
"Double Bollinger Band Scalping System
Recommended Timeframe: 1 minute or 5 minute *
Required Indicators:
// - RSI with a length of 14 (default settings)
// - Bollinger band #1 settings: Length = 50, stDev = 1 Hide the basis/middle line (basis line not needed for this strategy)
Note: This is the slower bollinger band in the directions
// - Bollinger band #2 settings: Length 20, stDev = 1 Hide the basis/middle line (basis line not needed for this strategy)
Note: This is the faster bollinger band in the directions
Enter Long/Buy Trade When:
// - RSI is above the level 50
// - A candle closes above the top of the faster bollinger band
Enter a long when a candle then closes above the top of the slower bollinger band, and price is above the top of both bands
Place a stop loss under the low of the entry candle Example of a long trade using this strategy
Exit Long Trade When: A candle closes below the top band of the fast bollinger band
Enter Short/Sell Trade When:
// - RSI is below the level 50
// - A candle closes below the bottom of the faster bollinger band
Enter a short when a candle then closes below the bottom of the slower bollinger band, and price is below both bands
Place a stop loss above the high of the entry candle Example of a short trade using this strategy
Exit Short Trade When: Price closes inside the bottom of the faster bollinger band"
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032
This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength.
Features:
OBV-based trend tracking
Optional smoothing: SMA, EMA, RMA, WMA, VWMA
Optional Bollinger Bands with SMA
Potential Combinations and Trading Strategies:
Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend.
Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal.
Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal.
1. On-Balance Volume (OBV):
Purpose: OBV is a momentum indicator that uses volume flow to predict price movements.
Calculation: Volume is added on up days and subtracted on down days.
Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices.
Divergence: Divergence between OBV and price can signal potential trend reversals.
2. Moving Average (MA):
Purpose: Moving Averages smooth price fluctuations and help identify trends.
Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation.
3. Bollinger Bands (BB):
Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals.
Structure: They consist of a moving average (typically 20-period) and two standard deviation bands.
Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal.
Created by: Marius1032
BB Oscillator - Price Relative to Bollinger BandsThis Bollinger Band Oscillator visualizes where the current price sits relative to its Bollinger Bands, scaled between 0 and 100. It helps identify overbought and oversold conditions based on the price’s position within the bands and provides dynamic signals when momentum shifts occur.
Features
Price Relative to Bollinger Bands
The main oscillator plots the price’s relative position within the Bollinger Bands on a scale from 0 (lower band) to 100 (upper band), giving an intuitive view of where price stands.
Customizable Moving Average Overlay
An optional moving average (SMA or EMA) smooths the oscillator for trend analysis, with adjustable length and color options.
Crossover & Crossunder Signals
Alerts and background highlights trigger when the oscillator crosses over or under its moving average, signaling potential momentum shifts or trend changes.
Fully Customizable Colors
Choose your preferred colors for the oscillator line, moving average and crossover signals to match your charting style.
This tool offers a unique oscillator view of Bollinger Bands, combining volatility context with momentum signals for clearer decision-making.
