VWMA Keltner BandsKind of like Keltner Channel/Bands (stockcharts.com) but using VWMA instead so that volume is taken in to account.
Outside the upper band can considered to be 'overbought' and outside the lower band can be considered to be 'oversold'
Has option to highlight signals (i.e. when price closes outside a channel) and also the option to only display signals if the price is on the correct side of VWAP (i.e. no sell signals if price is above VWAP)
Cari dalam skrip untuk "bands"
Acceleration BandsAcceleration Bands indicator script. This indicator was originally developed by Price Headley.
(YEK) Bollinger Bands & DoubleHMA & MA CrossMy favorite indicators ALL-IN-1: Bollinger Bands, Double Hull Moving Average (21,8), Double Moving Average (200,50)
Volume Weighted Average Range Bands [DW]This is an experimental study designed to identify the underlying trend bias and volatility of an instrument over any custom interval TradingView supports.
First, reset points are established at points where the opening price of the interval changes.
Next, Volume Weighted Average Price (VWAP) is calculated. It is the cumulative sum of typical price times volume divided by the cumulative volume. The cumulation starts over upon each reset point.
After that, Volume Weighted Average Range (VWAR) is calculated. The formula structure is the same as VWAP, except using range rather than typical price.
Lastly, the bands are calculated by multiplying the VWAR by the specified multiplier (approximate Golden Ratio by default) and by 1 through 5, then adding to and subtracting from the VWAP.
Custom Bar Colors are included.
Fractal Chaos Bands Backtest The FCB indicator looks back in time depending on the number of time periods trader selected
to plot the indicator. The upper fractal line is made by plotting stock price highs and the
lower fractal line is made by plotting stock price lows. Essentially, the Fractal Chaos Bands
show an overall panorama of the price movement, as they filter out the insignificant fluctuations
of the stock price.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Ichimoku And DD Bollinger BandsIchimoku System Plus Double Bolliner Bands
Made in Mexico City with Love.
Kaufman's Adaptive Moving Average BandsKaufman's Adaptive Moving Average with 6 Bands at a time and trend direction.
Fibonacci BandsCreates bands based on Fibonacci numbers and the SMA.
Based on indicator by Big Mike on futures.io
How to trade
- Best to use in ranging market conditions
- Place on two different time frames eg. 15 and 55 min.
- Take trades off either short or long term chart.
- Best trades occur when both charts show same trigger/condition.
- Trades are short term reversals in direction of major trend on longer term chart unless you expect a trend reversal.
- Determine which band is the limiting band for the volatility of the instrument.
- When the market closes outside of the limiting band then returns inside, take a long/short one tick above/below the high/low of the previous bar.
- Place stop below/above the low/high of the the recent swing low/high.
- Set targets at opposite band of chart
Triple Bollinger BandsI found myself using multiple bollinger bands a lot so I decided to add them all to one script and add the ability to adjust them by 0.2. It has helped me by not taking up as much space in the upper left corner as well as improving my in's and outs of trend continuation trades. If you manage to find a double top at +2 or greater deviation, and with a bearish divergence on the RSI as shown in this picture, GO SHORT SON! This was a fast and easy 35 - 40 pips and if you used your fibonacci for an exit you had little doubt of the final result and could have even been prepared for an immediate reversal knowing you were then at an oversold -2.8 deviation. I could go on and on........
Stochastic In BandsWhat about to display Stochastic Oscilator in EMA-ATR Bands? If you like the idea I would code advanced version
UCS_Value BandsThis Indicator is yet another variation of KC. Inspired from Value Charts webinar. I have seen their videos on youtube. What appears to be a variation of KC.
They use 12 bands Showing the zone, and different MA for different timeframes.
You can get this indicator close to accuracy by changing the inputs (ATR) and (Deviations)
This also can be used with the triple ATR setup - Change the values to EMA to desired value. To obtain the First band to plot @ 1, Change the Band deviation to 0.25.
Also can be used as as the Acceleration Band. With Current Settings, the Third Band will plot the Acceleration band.
List of All my Indicators - www.tradingview.com
Lycka Till
Indicator: Price Headley Accelaration Bands [LazyBear]The Acceleration Band System was published in "Big Trends in Trading" by Price Headley in 2002. The system designed to catch stocks as they start to trend but before they go parabolic. The system is simple but supposed to be very effective.
This system makes use of %R and ADX a lot to determine the entries/exits. Refer to the documents listed below for the complete set of rules.
More info:
* System Trading Rules: drive.google.com
* www.bigtrends.com
* www.slideshare.net
Groupped SMA with Custom Lenght by Mustafa KAPUZThis script is a custom implementation of grouped Simple Moving Averages (SMA) with added Bollinger Bands
Key Features:
Customizable Length (n): Allows users to set the length for the SMA calculation. The length is the number of bars used to calculate the average. This is input by the user and can be adjusted to analyze different time periods.
Standard Deviation Multiplier (StdDev): This input allows users to customize the width of the Bollinger Bands. A higher multiplier results in wider bands, and a lower multiplier results in narrower bands.
Grouped Calculation: Instead of calculating the SMA on a rolling basis, this script groups the data in sets of n (as per the user-defined length) and calculates the SMA for each group. After each group, the calculation resets.
Bollinger Bands: Based on the SMA calculated for each group, the script calculates the standard deviation of prices within the group. Using the standard deviation and the standard deviation multiplier (StdDev), it computes the upper and lower Bollinger Bands.
Dynamic Visualization: For each completed group of n bars, the script draws lines on the chart representing the upper band, lower band, and the SMA itself. These lines help visualize the volatility and the average price level for each group.
How It Works:
Data Grouping: For every candle/bar on the chart, the script sums up the closing prices and counts the number of bars until it reaches the user-defined length (n). It stores closing prices in an array for further calculations.
Average Calculation: Once the count reaches n, it calculates the average closing price for the group and resets the sum and count for the next group.
Standard Deviation and Bollinger Bands: With the average calculated, it then computes the standard deviation of the closing prices within the group. This standard deviation, multiplied by the user-defined StdDev multiplier, determines the distance of the Bollinger Bands from the average.
Drawing Lines: Finally, the script visually represents these calculations on the chart by drawing lines for the upper band, lower band, and the average itself for each group.
Purpose and Use:
This script is useful for traders and analysts who prefer to examine price movements and volatility in fixed intervals or groups of bars, rather than the continuous rolling averages provided by traditional SMA and Bollinger Band indicators. By adjusting the length and standard deviation multiplier, users can tailor the indicator to fit various trading strategies, time frames, and market conditions. This grouped approach can provide unique insights into market trends, potential reversals, and volatility patterns that might not be as evident with standard indicators.
Bollinger Band Squeeze with Dotted MidlinesBollinger Band Squeeze with Dotted Midlines
Overview:
The Bollinger Band Squeeze with Dotted Midlines indicator is a powerful tool designed to identify periods of low volatility in the market, known as "squeeze" conditions, which often precede significant price movements. By combining Bollinger Bands and Keltner Channels, this indicator highlights when the market is consolidating and prepares traders for potential breakouts.
Key Features:
• Squeeze Detection: The indicator fills the area between the Bollinger Bands and Keltner Channels with a semi-transparent red color when both the upper and lower Bollinger Bands are within the Keltner Channels. This visual cue signifies a squeeze condition.
• Dynamic Color Filling: When the Bollinger Bands move outside the Keltner Channels, the fill color changes to a semi-transparent white, indicating the end of the squeeze and the potential start of increased volatility.
• Enhanced Visual Clarity:
o Upper and Lower Bands: The upper and lower lines of both the Bollinger Bands and Keltner Channels are plotted with increased thickness (3pt) for better visibility.
o Midlines with Dotted Effect: The middle lines (50% lines) for both the Bollinger Bands and Keltner Channels are plotted as dotted lines using circles with a thinner line width (1pt), providing a clear yet unobtrusive reference point.
Indicator Components:
1. Bollinger Bands (Orange Lines):
o Upper Bollinger Band: Calculated as the moving average plus a multiple of the standard deviation.
o Lower Bollinger Band: Calculated as the moving average minus a multiple of the standard deviation.
o Middle Bollinger Band: The simple moving average (SMA) of the closing price.
2. Keltner Channels (White Lines):
o Upper Keltner Channel: Calculated as the exponential moving average (EMA) plus a multiple of the average true range (ATR).
o Lower Keltner Channel: Calculated as the EMA minus a multiple of the ATR.
o Middle Keltner Channel: The EMA of the closing price.
3. Squeeze Condition Fill:
o Red Fill (40% Opacity): Indicates a squeeze condition where the Bollinger Bands are entirely within the Keltner Channels.
o White Fill (40% Opacity): Indicates normal market conditions where the Bollinger Bands have moved outside the Keltner Channels.
How to Use:
1. Identifying Squeeze Conditions:
o Look for Red Filled Areas: When you see the area between the Bollinger Bands and Keltner Channels filled in semi-transparent red, it signals a squeeze condition. This means the market is experiencing low volatility and may be preparing for a significant move.
2. Preparing for Potential Breakouts:
o Monitor for Fill Color Changes: A transition from red to white fill suggests that the squeeze is ending, and volatility is increasing. Traders often interpret this as a potential opportunity for a breakout in either direction.
3. Utilizing Midlines:
o Reference Midlines for Trend Direction: The dotted midlines provide insight into the overall trend. Crossing of the price above or below these lines can offer additional confirmation for trading decisions.
Customization Options:
• Bollinger Bands Settings:
o Length: Default is 20 periods. Adjust to change the sensitivity of the bands.
o Multiplier: Default is 2.0. Modify to increase or decrease the band width based on standard deviation.
• Keltner Channels Settings:
o Length: Default is 20 periods. Alter to adjust the responsiveness of the channels.
o Multiplier: Default is 1.5. Change to widen or narrow the channels based on average true range.
Advantages:
• Visual Clarity: Enhanced line thickness and semi-transparent fills make it easy to spot key market conditions at a glance.
• Early Warning System: By identifying squeeze conditions, traders can anticipate potential breakouts and plan their strategies accordingly.
• Flexible Application: Suitable for various timeframes and trading styles, including day trading, swing trading, and position trading.
Limitations:
• False Signals: Like all technical indicators, it may produce false signals, especially in choppy or range-bound markets.
• Should Be Used with Other Indicators: For better accuracy, it's recommended to use this indicator in conjunction with other technical analysis tools and not as a standalone signal generator.
Conclusion:
The Bollinger Band Squeeze with Dotted Midlines indicator is a valuable addition to any trader's toolkit. By effectively highlighting periods of consolidation and potential breakout points, it aids in making informed trading decisions. The visual enhancements improve usability, allowing traders to quickly interpret market conditions and respond appropriately.
Normalized Bollinger Band DistanceThis TradingView script calculates and visualizes the Normalized Bollinger Band Distance to analyze the relative spread of Bollinger Bands as a percentage of the moving average. It also determines thresholds based on global statistics to highlight unusual market conditions. Here's a detailed description:
Indicator Overview
Purpose: The indicator measures the normalized distance between the upper and lower Bollinger Bands relative to the Simple Moving Average (SMA). It helps identify periods of high or low volatility.
Visualization: Displays the normalized distance along with dynamic thresholds based on global statistical calculations (mean and standard deviation).
Inputs
Length (length): Defines the period for the SMA and Bollinger Bands calculation. Default is 200.
Standard Deviations (stdDev): Number of standard deviations for the Bollinger Bands. Default is 2.
Calculation
Bollinger Bands:
Upper Band:
SMA
+
(
Standard Deviation
×
stdDev
)
SMA+(Standard Deviation×stdDev)
Lower Band:
SMA
−
(
Standard Deviation
×
stdDev
)
SMA−(Standard Deviation×stdDev)
Normalized Distance:
Normalized Distance
=
Upper Band
−
Lower Band
SMA
Normalized Distance=
SMA
Upper Band−Lower Band
Global Statistics:
Global Mean (
𝜇
μ): Average of all normalized distances up to the current bar.
Global Standard Deviation (
𝜎
σ): Standard deviation of all normalized distances up to the current bar.
High Threshold:
𝜇
+
1.5
×
𝜎
μ+1.5×σ
Low Threshold:
𝜇
−
1.5
×
𝜎
μ−1.5×σ
Visualization
Normalized Distance Plot:
The normalized distance is plotted in blue as a percentage for easy interpretation.
Threshold Lines:
High Threshold: Red line to signal unusually high volatility.
Low Threshold: Green line to signal unusually low volatility.
Mean Line: White line indicating the average normalized distance.
Zero Line: Horizontal white line for reference.
Use Case
High Threshold Breach: Indicates an unusual increase in Bollinger Band width relative to the SMA, signaling potential high market volatility.
Low Threshold Breach: Indicates an unusual narrowing of Bollinger Band width, suggesting low volatility and potential consolidation.
Trend Analysis: Observe how the normalized distance evolves over time to anticipate market conditions.
Dual Keltner ChannelsDual Keltner Channels (DKC) Indicator 📊
🔹 About This Indicator
This indicator is an enhanced version of the original Keltner Channel available in TradingView. The Keltner Channel was initially designed as a volatility-based envelope around a moving average, helping traders identify trends, breakouts, and potential reversal zones.
💡 Original Creator: The Keltner Channel concept is based on the work of Chester W. Keltner and was later implemented in various trading platforms, including TradingView’s built-in Keltner Channel indicator.
This script builds upon the TradingView version of the Keltner Channel, adding:
✅ Dual Keltner Bands (Inner & Outer) for better trend and volatility analysis.
✅ Customizable Moving Averages (EMA/SMA) for flexibility.
✅ Multiple Band Calculation Methods (ATR, True Range, Range) for improved accuracy.
✅ Shaded Zones Between the Bands for enhanced visual clarity.
⚡ Credit: This indicator is an enhancement of the original Keltner Channel Indicator in TradingView. All improvements and modifications are made to provide deeper market insights while maintaining the core principles of the original Keltner concept.
🔹 Overview
The Dual Keltner Channels (DKC) indicator overlays two Keltner Channels on the price chart, helping traders spot trends, breakouts, and reversals with greater precision.
Inner Keltner Band (Multiplier 1): Captures normal price movements.
Outer Keltner Band (Multiplier 2): Highlights extreme price movements and potential breakouts.
🔹 Features & Inputs
📌 Main Inputs:
Keltner Channel Length: Defines the lookback period for the moving average calculation.
Source Price: Selects the price type (close, open, high, low) to calculate the bands.
Exponential Moving Average (EMA) Option: Choose between Exponential (EMA) or Simple (SMA) as the basis for calculations.
Bands Style: Selects how the volatility is measured:
Average True Range (ATR) (default)
True Range (TR)
Range (High - Low)
ATR Length: Determines the length of ATR calculations.
Enable Multiplier 1 & 2: Toggle to display/hide inner (multiplier 1) and outer (multiplier 2) bands.
📌 Keltner Channels Calculation:
Moving Average (MA): Uses either EMA or SMA for the midline.
Volatility Band Calculation:
Upper Band 1 (Inner Band): MA + (Multiplier 1 × Volatility Measure)
Lower Band 1 (Inner Band): MA - (Multiplier 1 × Volatility Measure)
Upper Band 2 (Outer Band): MA + (Multiplier 2 × Volatility Measure)
Lower Band 2 (Outer Band): MA - (Multiplier 2 × Volatility Measure)
📌 Visuals & Plotting:
Inner Bands (Multiplier 1): Blue upper & lower lines.
Outer Bands (Multiplier 2): Darker blue upper & lower lines.
Basis Line: White moving average.
Shaded Areas:
Between Upper 1 & Upper 2 (Light Brown Area): Identifies the upper Keltner region.
Between Lower 1 & Lower 2 (Light Brown Area): Identifies the lower Keltner region.
🔹 How to Use the Dual Keltner Channels Indicator
✅ 1. Trend Identification
Price above the upper outer band (Multiplier 2): Strong uptrend – potential continuation.
Price below the lower outer band (Multiplier 2): Strong downtrend – potential continuation.
Price within the inner bands (Multiplier 1): Sideways market – possible consolidation.
✅ 2. Breakout Trading
Break above outer upper band: Indicates a bullish breakout – consider long trades.
Break below outer lower band: Indicates a bearish breakdown – consider short trades.
✅ 3. Overbought & Oversold Conditions
Price touching/exceeding outer bands (Multiplier 2): Potential reversal zones.
Reversal confirmation: Look for candlestick patterns (e.g., Doji, Engulfing) or divergence signals.
✅ 4. Pullback & Entry Zones
Price bouncing from inner bands (Multiplier 1): Good re-entry point in trend direction.
Inner band as support/resistance: Helps in setting stop-loss and profit targets.
🔹 Effective Trading Strategies Using DKC
📌 1. Trend Following Strategy (Using Moving Average & Bands)
✅ Look for price staying above/below the basis line (MA) within the outer bands.
✅ Use pullbacks to the inner bands as re-entry points for trend continuation.
✅ Confirm trend strength with momentum indicators like RSI, MACD.
📌 2. Breakout Trading Strategy
✅ Identify a tight consolidation phase within the inner Keltner bands.
✅ Wait for a strong breakout beyond the outer bands.
✅ Enter long/short trades based on breakout direction.
✅ Place stop-loss at the previous inner band to manage risk.
📌 3. Reversal Strategy (Mean Reversion)
✅ When price extends beyond the outer band (Multiplier 2), look for reversal signals (candlestick patterns, RSI divergence).
✅ Enter counter-trend trades with tight stop-loss beyond the band.
✅ Target the moving average (basis line) as take-profit.
🔹 Final Thoughts 💡
The Dual Keltner Channels (DKC) is a powerful upgrade to the standard Keltner Channel, providing:
✅ Greater clarity on trend strength
✅ More precise breakout & reversal signals
✅ Better visual insights for dynamic market conditions
📌 Best Used With: RSI, MACD, Volume Profile, Price Action Signals.
📌 Works on: Stocks, Forex, Crypto, Commodities, Indices.
MMAPMarket Maker Aggression & Panic
Here's how it works:
Bollinger Bands: The script calculates and plots the Bollinger Bands, which helps you identify potential aggressive buying or panic selling when the price breaks above or below the bands.
Volume Analysis: It checks for volume spikes compared to the average volume over a specified period. If the volume exceeds a defined threshold, the background color changes to orange, indicating a potential market maker reaction.
Alerts: Alerts are set for volume spikes, aggressive buying (when the price breaks above the upper Bollinger Band), and panic selling (when it drops below the lower Bollinger Band).
Feel free to customize the parameters to fit your trading style!
VWAP (Enhanced)Structured VWAP Enhanced
A dynamic, multi-functional VWAP indicator designed to help traders visualize key support and resistance levels during the trading session. This indicator computes the Volume Weighted Average Price (VWAP) along with two structured bands derived from customizable multipliers based on either standard deviation or percentage. In addition, it offers the following features:
Dual Bands: Displays two bands (Band #1 and Band #2) that adapt to market volatility, each with its own customizable multiplier.
Dynamic Midlines: Plots both the original midlines (the center of each band) and enhanced midlines between the VWAP and each band edge for clearer visual cues.
Fixed Offset Bands: Includes offset lines set at a fixed 0.25% above and below the VWAP and each band level to help highlight near-term price targets.
Custom VWAP Anchoring: Supports various anchoring periods (Session, Week, Month, etc.) and special events (Earnings, Dividends, Splits) to reset VWAP calculations, making it adaptable to different trading styles.
Visual Customization: Easily toggle the display of each component (bands, midlines, enhanced midlines, and offset lines) to suit your analysis needs.
Whether you are an intraday trader or a longer-term market participant, Structured VWAP Enhanced provides a robust framework to identify price imbalances and potential turning points throughout your trading day.
Add this indicator to your chart for a comprehensive view of VWAP dynamics and structured market levels.
ATR Clouds*Updated with Version 5*
ATR Clouds
The "ATR Clouds" indicator provides a visual representation of the stock's volatility based on the Average True Range (ATR) calculation. It operates by plotting two bands around the closing price of a stock, using the ATR as a measure of volatility.
Features:
ATR Calculation: The Average True Range is a commonly used metric to understand the volatility of an asset. The indicator calculates the ATR over a user-defined period, with the default being 14 periods.
ATR Bands: Using the ATR value, the script defines two bands:
Upper Band: This is calculated by adding the ATR value to the closing price of the stock. It represents a higher volatility boundary.
Lower Band: This is derived by subtracting the ATR value from the closing price. It indicates a lower volatility boundary.
Cloud Visualization: The space between the upper and lower bands is shaded to create a "cloud" on the chart. This cloud gives traders a clear visual cue of the stock's current volatility range. The cloud has an 80% transparency, allowing the underlying price chart to remain visible.
Customization: Users have the ability to adjust the period for the ATR calculation based on their preferences.
Usage:
Traders can use the ATR Clouds indicator to get a sense of the stock's volatility. Wider clouds indicate periods of higher volatility, while narrower clouds suggest lower volatility. This can be beneficial for se
20-34 Dual Dot Alerts OnlyPine Script that uses dual Donchian Channels (20-period and 34-period) and places tiny blue dots above candles when the highest price touches any upper Donchian Channel and below candles when the lowest price touches any lower Donchian Channel, without displaying the channels themselves, you can use the code.
### Explanation of the Code:
1. **Indicator Declaration**: The script is named "Dual Donchian Channels Dots Only" and overlays on the price chart.
2. **Input for Lengths**: Users can set lengths for two Donchian Channels (20 and 34 periods).
3. **Calculating Bands**: The upper and lower bands are calculated using `ta.highest` and `ta.lowest` functions over the specified periods.
4. **Touch Conditions**:
- `upperTouch`: Checks if the highest price of the current candle touches either of the upper bands.
- `lowerTouch`: Checks if the lowest price of the current candle touches either of the lower bands.
5. **Plotting Dots**:
- A tiny blue dot is plotted above bars where `upperTouch` is true.
- A tiny blue dot is plotted below bars where `lowerTouch` is true.
### How to Use:
1. Copy this script into TradingView’s Pine Script editor.
2. Save it and add it to your chart.
3. You will see tiny blue dots appear above or below candles based on whether they touch any of the upper or lower Donchian Bands.
This setup provides a clear visual indication of price interactions with both Donchian Channels while keeping the chart uncluttered by hiding the channel lines.
200 EMA Trend Strategy Anti meanDescription:
The "200 EMA Trend Strategy" is a versatile technical analysis tool designed for day trading and long-term investing. It aims to identify potential trend reversal points in the market based on the interaction between the price and the 200-period Exponential Moving Average (EMA). This strategy utilizes the 200 EMA, standard deviation bands, and basic trend analysis to generate buy and sell signals.
Key Features:
200-period Exponential Moving Average (EMA): The indicator plots the 200-period Exponential Moving Average, a reliable trend-following indicator that smooths out price data to identify the underlying trend direction.
Standard Deviation Bands: Upper and lower bands around the 200 EMA are calculated based on a specified standard deviation multiplier. These bands help identify potential overbought and oversold levels in the market.
Trend Signals: Buy signals are generated when the price crosses above the 200 EMA, indicating a potential bullish trend, while sell signals are generated when the price crosses below the 200 EMA, indicating a potential bearish trend.
Exit Signals: Exit signals are triggered when the price moves beyond the standard deviation bands in the opposite direction of the current trend. Most trades will be exited with minimal losses, aiming to grow the trading account over time. Multiple exit signals may be displayed, but only the first signal will be considered, ignoring subsequent signals to minimize drawdown.
Usage:
Day Trading: For intraday trading, traders can use a one-minute chart and fix the indicator's timeframe to five minutes. This allows for quick decision-making and minimizes drawdown by focusing on short-term price movements.
Long-Term Investing: For long-term investing, traders can utilize a four-hour or two-hour chart and fix the indicator's timeframe to daily or one-day timeframe. This provides a broader perspective of the market trends and allows for strategic positioning over longer time horizons.
Risk Management: Employ proper risk management techniques and position sizing strategies to mitigate losses and maximize profits. Use the indicator's exit signals to exit trades with minimal losses and allow profitable trades to grow the trading account over time.
Risk Disclosure: Trading involves risks, and this indicator should be used as part of a comprehensive trading strategy. It is essential to consider risk management principles and employ proper position sizing techniques when trading based on the signals generated by this indicator.
