Heikin-Ashi Candle ColorOne of the biggest complaints about Heikin Ashi is the lack of real price data you receive. This attempts to give you as much information as possible by displaying both the candle color and the Heikin Ashi color. The wick takes on the original color while the body of the candle gets the Heikin Ashi color. The only downside to this method is that you do not get to see candle patterns. As always I hope you enjoy this release!
Cerca negli script per "Heikin Ashi"
Heikin Ashi TSI and OTT [Erebor]TSI (True Strength Index)
The TSI (True Strength Index) is a momentum-based trading indicator used to identify trend direction, overbought/oversold conditions, and potential trend reversals in financial markets. It was developed by William Blau and first introduced in 1991.
Here's how the TSI indicator is calculated:
• Double Smoothed Momentum (DM): This is calculated by applying double smoothing to the price momentum. First, the single smoothed momentum is calculated by subtracting the smoothed closing price from the current closing price. Then, this single smoothed momentum is smoothed again using an additional smoothing period.
• Absolute Smoothed Momentum (ASM): This is calculated by applying smoothing to the absolute value of the price momentum. Similar to DM, ASM applies a smoothing period to the absolute value of the difference between the current closing price and the smoothed closing price.
• TSI Calculation: The TSI is calculated as the ratio of DM to ASM, multiplied by 100 to express it as a percentage. Mathematically, TSI = (DM / ASM) * 100.
The TSI indicator oscillates around a centerline (typically at zero), with positive values indicating bullish momentum and negative values indicating bearish momentum. Traders often look for crossovers of the TSI above or below the centerline to identify shifts in momentum and potential trend reversals. Additionally, divergences between price and the TSI can signal weakening trends and potential reversal points.
Pros of the TSI indicator:
• Smoothed Momentum: The TSI uses double smoothing techniques, which helps to reduce noise and generate smoother signals compared to other momentum indicators.
• Versatility: The TSI can be applied to various financial instruments and timeframes, making it suitable for both short-term and long-term trading strategies.
• Trend Identification: The TSI is effective in identifying the direction and strength of market trends, helping traders to align their positions with the prevailing market sentiment.
Cons of the TSI indicator:
• Lagging Indicator: Like many momentum indicators, the TSI is a lagging indicator, meaning it may not provide timely signals for entering or exiting trades during rapidly changing market conditions.
• False Signals: Despite its smoothing techniques, the TSI can still produce false signals, especially during periods of low volatility or ranging markets.
• Subjectivity: Interpretation of the TSI signals may vary among traders, leading to subjective analysis and potential inconsistencies in trading decisions.
Overall, the TSI indicator can be a valuable tool for traders when used in conjunction with other technical analysis tools and risk management strategies. It can help traders identify potential trading opportunities and confirm trends, but it's essential to consider its limitations and incorporate additional analysis for more robust trading decisions.
Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open , high low , and close prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
Heikin Ashi and Optimized Trend Tracker and PVSRA [Erebor]Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open , high low , and close prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
PVSRA (Price, Volume, S&R Analysis)
“PVSRA” (Price, Volume, S&R Analysis) is a trading methodology and indicator that combines the analysis of price action, volume, and support/resistance levels to identify potential trading opportunities in financial markets. It is based on the idea that price movements are influenced by the interplay between supply and demand, and analyzing these factors together can provide valuable insights into market dynamics.
Here's a breakdown of the components of PVSRA:
• Price Action Analysis: PVSRA focuses on analyzing price movements and patterns on price charts, such as candlestick patterns, trendlines, chart patterns (like head and shoulders, triangles, etc.), and other price-based indicators. Traders using PVSRA pay close attention to how price behaves at key support and resistance levels and look for patterns that indicate potential shifts in market sentiment.
• Volume Analysis: Volume is an essential component of PVSRA. Traders monitor changes in trading volume to gauge the strength or weakness of price movements. An increase in volume during a price move suggests strong participation and conviction from market participants, reinforcing the validity of the price action. Conversely, low volume during price moves may indicate lack of conviction and potential reversals.
• Support and Resistance (S&R) Analysis: PVSRA incorporates the identification and analysis of support and resistance levels on price charts. Support levels represent areas where buying interest is expected to be strong enough to prevent further price declines, while resistance levels represent areas where selling interest may prevent further price advances. These levels are often identified using historical price data, trendlines, moving averages, pivot points, and other technical analysis tools.
The PVSRA methodology combines these three elements to generate trading signals and make trading decisions. Traders using PVSRA typically look for confluence between price action, volume, and support/resistance levels to confirm trade entries and exits. For example, a bullish reversal signal may be considered stronger if it occurs at a significant support level with increasing volume.
It's important to note that PVSRA is more of a trading approach or methodology rather than a specific indicator with predefined rules. Traders may customize their analysis based on their preferences and trading style, incorporating additional technical indicators or filters as needed. As with any trading strategy, risk management and proper trade execution are essential components of successful trading with PVSRA.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your indicator “PVSRA Volume Suite”. © creengrack
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
Heikin Ashi MTF Trend [Pt]█ Introduction
The Heikin Ashi MTF Trend indicator takes a simple approach to understand the trend by visualizing Heikin Ashi candle colors across multiple timeframes and representing it in a simple and visual manner. It utilizes the Heikin Ashi (HA) candles across four custom timeframes to detect trend shifts and strength. The indicator also offers alert conditions for potential bullish and bearish trend shifts.
█ Features
► Multiple Timeframes (MTF) Trend Detection: The script fetches HA data from four different timeframes. This multi-timeframe approach gives a holistic view of the market sentiment.
► Weighted Trend Score: The individual trend scores of the four timeframes are multiplied with their respective weights and summed up to provide a cumulative trend score that is used to determine bar colors and trend shifts.
► Visual Trend Depiction : It displays the trend using default green/red squares for each timeframe and a gradient-filled bar to represent the cumulative trend score.
► Trend Change Alerts: Users can set alerts for bullish and bearish trend shifts.
█ Alerts
◊ Bull Trend Signal Alert: Alert when there is a bullish trend shift.
◊ Bear Trend Signal Alert: Alert when there is a bearish trend shift.
█ Usage Tips
◊ The greater the discrepancy in the weights across the timeframes, the more emphasis is placed on the higher weighted timeframe.
◊ While the gradient bar provides a quick trend overview, it's essential to view the trend squares to understand the individual timeframe sentiments.
◊ Always consider using this tool in conjunction with other indicators or methods for confirmation and enhanced trading strategy.
Happy Trading~~
Heikin Ashi ROC Percentile Strategy**User Guide for the "Heikin Ashi ROC Percentile Strategy"**
This strategy, "Heikin Ashi ROC Percentile Strategy", is designed to provide an easy-to-use framework for trading based on the Heikin Ashi Rate of Change (ROC) and its percentiles.
Here's how you can use it:
1. **Setting the Start Date**: You can set the start date for the strategy in the user inputs at the top of the script. The variable `startDate` defines the point from which the script begins executing trades. Simply input the desired date in the format "YYYY MM DD". For example, to start the strategy from March 3, 2023, you would enter `startDate = timestamp("2023 03 03")`.
2. **Adjusting the Midline, Lookback Period, and Stop Loss Level**: The `zerohLine`, `rocLength`, and `stopLossLevel` inputs allow you to adjust the baseline for ROC, the lookback period for the SMA and ROC, and the level at which the strategy stops the loss, respectively. By tweaking these parameters, you can fine-tune the strategy to better suit your trading style or the particular characteristics of the asset you are trading.
3. **Understanding the Trade Conditions**: The script defines conditions for entering and exiting long and short positions based on crossovers and crossunders of the ROC and the upper and lower "kill lines". These lines are defined as certain percentiles of the ROC's highest and lowest values over a specified lookback period. When the ROC crosses above the lower kill line, the script enters a long position; when it crosses below the upper kill line, it exits the position. Similarly, when the ROC crosses below the upper kill line, the script enters a short position; when it crosses above the lower kill line, it exits the position.
In my testing, this strategy performed best on a day and hour basis. However, I encourage you to experiment with different timeframes and settings to see how the strategy performs under various conditions. Remember, there's no one-size-fits-all approach to trading; what works best will depend on your specific circumstances, goals, and risk tolerance.
If you find other useful applications for this strategy, please let me know in the comments. Your feedback is invaluable in helping to refine and improve this tool. Happy trading!
Heikin Ashi Candle OverlayHello Friend,
This is a very simple script for fun to demonstrate the new ability to change the colors of attributes pertaining to the plotbar() and plotcandle() functions using series inputs.
For Heiken Ashi lovers, this script does several things. It gives you both bars and hollow candles with Heikin Ashi values - something TV does not currently support.
It also gives you the ability to see your favorite HA candles while on the main series plot. When viewing indicators in the "Heikin Ashi" candle setting on TradingView, the input values are "smoothed' with HA values. This skews the way your indicators behave as the OLHC are calculated averages. Only the regular candle settings will give your indicators "real close" etc.
By 'Muting' the main series bars by toggling the 👁 symbol next to your ticker id, it makes the normal candles invisible. You then overlay this script, which allows you to see the HA Candle of your choice, while not affecting the way your indicators behave.
You now have the best of 2 worlds. Smoothed behavior of price action to help visualize trends, and accurate indicator values derived from actual OLHC data.
Plus, something about hollow HA candles is just kind of clean and soothing isn't it?
Cheers,
Bjorgum
Hollow Setting:
Bars
Or just plain old regular, but on the main chart
Heikin Ashi Buy-Sell Signals [Non-Repainting] @TradingadeThis is a basic indicator that displays Heikin Ashi candles in a simple format. Key features include:
- Unlike most other Heikin Ashi indicators, this one does not repaint, which is crucial when building strategies based on indicators.
- It generates Buy & Sell signals based on consecutive candles of the same color:
BUY Signal: Triggered when there are at least x green candles in a row (adjustable in settings).
SELL Signal: Triggered when there are at least x red candles in a row (also adjustable in settings).
Multiple Signal Option: If activated, the indicator will continue generating signals after the buy or sell condition is met, until a candle of the opposite color appears.
The Buy & Sell signals are shown both in the indicator and on your chart. You can turn them on or off in the style section.
You can set alerts when buy or sell signals are generated.
Heikin Ashi Smoothed Buy Sell (Sunseeder) I like to use it on the daily. This helps with indicating buy signals on the DXY, BITCOIN and ETH charts. You're able to customize the colors of the buy signals etc. Enjoy!
Heikin-Ashi Source Function HTFHigher TimeFrame using custom source function for toggling traditional Candle sources or Heikin-Ashi sources on a traditional Candles chart.
Thanks to PineCoders for rounding method: www.pinecoders.com
Thanks to @LucF and @RicardoSantos for their advice and enlightenment as always.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Heikin Ashi Strategy ExampleA strategy which calculates it's entry/exit conditions using HeikinAshi prices and executes orders using real prices (usual candles). NOTE that strategy should be added on a usual candles chart. Heikin Ashi prices are requested in the Pine code using 'security' function.
This is a possible solution to a question getsatisfaction.com =19502808#reply_19502808
Mister Transistor 3.0This is a general purpose very flexible program to test the effectiveness of HA bars.
Please note that if you are charting at tradingview using Heikin-Ashi charting, your system will be trading fictitious prices even if you check the "use real prices" box. Thought you might like to know that before you lose all your money.
This program performs the HA calcs internally thus allowing you to use HA bars on a standard bar chart and obtaining real prices for your trades.
Courtesy of Boffin Hollow Lab
Author: Tarzan the Ape Man
Heikin-Ashi Rolling Time Decay Volume OscillatorThe indicator calculates a time-decayed moving sum of volume data for both bullish (green) and bearish (red) candles. It then generates a volume share oscillator as a smoothed and weighted (time-decayed) moving sum of bullish volume (positive share) or bearish volume (negative share) relative to the total volume.
The volume share is displayed as an area chart with gradient fills representing overbought and oversold regions. Additionally, an Arnaud Legoux Moving Average (ALMA) of the volume oscillator is plotted on the chart.
Trend Momentum and Price Control :
This indicator serves as a powerful tool for traders to gauge trend momentum and identify which side, bulls or bears, is controlling price movements. When the volume oscillator trends strongly in the green territory, it suggests that bulls are in control of price movements, indicating a potential uptrend. Conversely, when the oscillator tilts into the red, it indicates bearish dominance and a potential downtrend. With the incorporation of ALMA for smoothing, this indicator becomes an essential tool for traders and analysts navigating the dynamics of traded assets.
Source Candles :
This indicator is designed to work with Heiken Ashi or Japanese candlesticks to discern candle bias, whether it's red or green. Heiken Ashi tends to produce red candles during downtrends and green candles during uptrends, providing a clearer trend indication. In contrast, traditional candlesticks alternate colors regardless of the dominant price direction. Users can select between "Heikin-Ashi Candles" and regular "Japanese Candles" as the source for price direction."
A time decay cumulative sum, also known as a weighted moving sum or exponentially weighted moving sum, offers several advantages when it comes to determining market dynamics compared to other methods:
Responsive to Recent Data: Time decay cumulative sum gives more weight to recent data points and gradually reduces the impact of older data. This responsiveness is crucial in rapidly changing market conditions where recent price and volume information is more relevant for analysis.
Adaptive to Market Volatility : It adapts to changes in market volatility. When markets are highly volatile, it places more emphasis on recent data to reflect the current market environment accurately. Conversely, during calmer periods, it considers older data less important.
Effective for Identifying Turning Points : Time decay cumulative sums are particularly effective at identifying turning points in market dynamics. They can indicate shifts from bullish to bearish sentiment and vice versa, providing early signals of potential trend reversals.
Reduces Lag : Traditional cumulative sums or simple moving averages can lag behind actual market changes, making them less effective for real-time decision-making. Time decay cumulative sums reduce this lag by giving more weight to recent events.
Dynamic Weighting: The weighting scheme can be adjusted to fit specific market dynamics or trading strategies. Traders can customize the decay rate or smoothing factor to align with their analysis goals and timeframes.
Improved Signal Clarity : The time decay cumulative sum can provide clearer and more precise signals for overbought and oversold conditions, as well as trend strength, due to its ability to emphasize recent relevant data.
In summary, a time decay cumulative sum is a valuable tool in determining market dynamics because it adapts to changing market conditions, reduces noise, and provides timely and accurate insights into trends, turning points, and the relative strength of bullish and bearish forces. Its responsiveness and adaptability make it an essential component of many technical analysis and trading strategies.
Heikin Ashi EMA v5 no repaint This script was inspired by the "Heikin/Kaufman Strategy" from marco valente built on v2.
The script was rebuilt on the v5 and most importantly removed the repaint function that was driving surrealistic backtesting inflated numbers.
This script is now fully functional and not repainting - At the time of testing worked efficiently 90% WR and 2x profit factor on CFD WTI OIL with a 15m time frame indexed on forex.com price.
You should utilize this script with caution, especially on high volatility cycles you can try plotting against a volatility relative index or stop.
I also strongly recommend understanding the fundamentals of WTI OIL to balance the indications of the strategy with fundamentals.
Thanks to Clovis Warlop and Nilesh Sharma for their contribution.
Cheers,
Gustavo Bramao
Heikin Ashi Price DetectionThis script performs custom calculations for both bullish and bearish bars, providing a numerical result that can be used to gauge price movements and potential trading signals.
How It Works
Bullish Bars:
Calculates the absolute difference between the open and low prices (BullOpenLow).
Calculates the absolute difference between the high and close prices (BullHighClose).
Compares BullOpenLow and BullHighClose:
If BullOpenLow is greater, the difference is divided by BullOpenLow.
If BullHighClose is greater, the difference is divided by BullHighClose.
The result is normalized to a percentage and subtracted from 100 to produce a final value.
Bearish Bars:
Calculates the absolute difference between the close and low prices (BearCloseLow).
Calculates the absolute difference between the high and open prices (BearHighOpen).
Compares BearCloseLow and BearHighOpen:
If BearCloseLow is greater, the difference is divided by BearCloseLow.
If BearHighOpen is greater, the difference is divided by BearHighOpen.
The result is normalized to a percentage and subtracted from 100 to produce a final value.
Key Features
Bullish and Bearish Calculations: The script identifies bullish and bearish bars and applies separate calculations to each.
Normalized Results: The calculations provide a normalized result that can be easily interpreted.
Visual Representation: Results are plotted on the chart for quick visual reference.
Heikin Ashi of Candle RSIThis is indicator plot Heikin Ashi of chart with RSI data
You can use this indicator like normal RSI with divergence or cross overbought oversold level
It can help you find pivot better and have better visual of market conditions when market overbought or oversold
heikin ashi calculation call with higher timeframe
Hello, guys
This indicater displays the previous value of higher timeframe without request.security() function.
You can change the candle style ( heikinashi or normal) on the set box.
you can choose the higher timeframe also.
I made this to avoid the repainting.
Without Box() function, i only used plotcandle and fill.
It was good fun.
Good luck !!
True BarcolorHeikin Ashi can be useful for understanding trend based on price action but it doesn't take volume in context. Here I have tried to use volume for understanding true bar color and ultimately true trend analysis. It can also help you in not getting trapped in sudden shakeouts. Also, you can use it for averaging of your existing position.
Conditions used:
Relative closing price
Relative volume against previous bar and overall moving average of volume
Volume analysis
Trend analysis
Heikin Ashi + Price Action Crypto LONG StrategyThis is a simple and efficient crypto strategy, designed for big timeframes like 12/24h.
On history it beats buy and hold strategy in many ocasions, and because of a low DD, pyramid can be used to elevate our winnings while still keeping a low DD < 40% avg.
For the purpose of this example, I used 100% of the capital on each trades, together with a comission of 0.1%
Warning : THERE IS NO STOP LOSS ON THIS STRATEGY ,USE IT AT YOUR OWN RISK
This strategy is made with inside Heikin Ashi candles , together with some price actions logics like for long Close > High and green candle and High > High .
We exit when we have a red candle and the current close is lower than the previous Low
If you have any questions, message me in private !
Heikin Ashi Candle Colour Change AlertsThis script allows you to set alerts for Heikin Ashi up and down candles. For example, you may wish to exit a trade when the first down candle is printed after a sequence of up candles.
Heikin Ashi AlgorithmThis indicator can be added on any type of chart (including Heikin Ashi chart). There is a little trick with the tickerid, read details in comments.
Heikin Ashi Colors (HAC) [cI8DH]This indicator changes normal candle chart colors based on Heikin Ashi (HA) candle colors. It can be useful for having your indicators to calculate based on normal candle chart while benefiting from HA candle magic.
There is a 4 color option. Chart below shows how it works:
Heikin-Ashi Strategy + backtest rangeThis is Heikin-Ashi Strategy + Backtest range that I think useful for BTCUSD pair.
LinReg Heikin Ashi CandlesLinear Regression Heikin Ashi Candles will dramatically change how the candlesticks on your chart will appear. This script creates Heikin Ashi candles from the existing candlesticks and then applies wickless Linear Regression candles as an overlay. The result is an ultra smoothed 'Renko-like' chart that remains time-based and responsive.
Key Features:
Heikin Ashi Base: Provides a smoother representation of price trends by filtering out noise.
Linear Regression Candles on Heikin Ashi: Plots Linear Regression lines as candles on the Heikin Ashi chart, potentially highlighting the immediate trend direction and momentum within the smoothed data. Wicks are intentionally removed for a clearer focus on the linear progression.
Tillson T3 Moving Averages: Includes fast and slow T3 Moving Averages with customizable length and alpha. These smoothed moving averages can help identify trend direction and potential crossover signals. Users can toggle their visibility.
Volatility Bands: Integrates Volatility Bands based on Average True Range (ATR) with customizable length, ATR type (RMA, SMA, EMA, WMA), and inner/outer multipliers. These bands help gauge price volatility and potential reversal zones. Users can toggle the visibility of the basis line.
Customizable Colors: Allows users to customize the colors of the Linear Regression Heikin Ashi bullish and bearish candles.
How to Use:
This is an overlay on your chart so you'll need to 'hide' the existing candlesticks on your chart.
This indicator can be used on any timeframe from seconds to days to quickly identify market trend, gauge volatility, and potentially find entry/exit points. Consider looking for confluence between the candle color/direction, T3 MA crossovers, and price interaction with the Volatility Bands.
Note: This indicator plots Linear Regression directly on Heikin Ashi candles, removing wicks for a focus on the linear trend within the smoothed data. Adjust the input parameters to suit your trading style and the specific market conditions.
HUGE CREDIT to ugurvu who originally created the Linear Regression Candles indicator that my indicator pulls code from.
