VIPER DOPING - A Volume Profile to estimate trend probabilityDESCRIPTION :
VIPER DOPING uses volume analysis to help trader to understand trading keys below:
Support and Resistance
Profit and Loss
Estimate candle direction
Trend
Biggest Buy and Sell on level prices
HOW TO USE:
The volume bar will have buy and sell colors, by default the buy color is blue and the sell is red. The size of bar is important matter, the biggest bar size means that price level has strong volume or transaction and the smallest bar size indicates the lowest transaction or volume. How to read it?
The bar above the candle is the resistance
The bar below the candle is the support
If you want long the market, find the biggest or bigger support, which is below the candle
If you want short the market, find the biggest or bigger resistance which is above the candle
Trading style and the maximum range (total candle), default is 60. This setup to analyze volumes in specific candle range. Please check the following recommendation based on trading style:
Scalping: 30 - 60 candles, recommendation timeframe: 5m - 1h
Day Trading: 50 - 120 candles, recommendation timeframe: 30m - 4h
Swing Trading: 100- 240 candles, recommendation timeframe: 1h- 3D
The white box is to visualize trading area by total candle. Every line has the meaning:
The left line is the start candle
The right line is the end candle
The top line is the highest price of volume profile
The bottom line is the lowest price of volume profile
The fibonacci line will help you to confirm and compare of supports and resistances with the volume profile lines.
The TABLE CELLS
it contains information to help trader to understand the recent situation of market and to take strategy of trading:
Total Candle : the maximum candles are used to analyze the volume from previous active candle
Biggest Sell : the horizontal price area which has the largest of sell volume of the last total candle
Biggest Buy : the horizontal price area which has the largest of buy volume of the last total candle
Buy Rate : the ratio of buy and sell volume of the last total candle
Support: the closest price to be the support from the active candle, auto changed if support to be invalid
Resistance : the closest price to be the resistance from the active candle, auto changed if support to be invalid
PnL : the percentage profit if you trade using the support and resistance prices and it can be used for Risk Management. Wisely the risk is 50% of the profit, example if the profit 1% the your risk should be 0.5% from entry.
Estimate : to analize the next direction of candle or target, it will be changed automatically by volume condition.
CONFIGURATION:
Table Position : You can change the table position to top or bottom, to left, right or center
Calculation : You can include the active candle in volume calculation or you can choose the behind active candle. If you use active candle, there could be possible repainting.
The volume profile configuration is about appearance configuration, to setup the thickness, colors, position.
The fibonacci configuration is about appearance configuration, to setup the thickness, extend lines, label styles.
Search in scripts for "swing trading"
W and M Pattern Indicator- SwaGThis is a TradingView indicator script that identifies potential buy and sell signals based on ‘W’ and ‘M’ patterns in the Relative Strength Index (RSI). It provides visual alerts and draws horizontal lines to indicate potential trade entry points.
User Manual:
Inputs: The script takes two inputs - an upper limit and a lower limit. The default values are 70 and 40, respectively.
RSI Calculation: The script calculates the RSI based on the closing prices of the last 14 periods.
Pattern Identification: It identifies ‘W’ patterns when the RSI makes a higher low within the lower limit, and ‘M’ patterns when the RSI makes a lower high within the upper limit.
Visual Alerts: The script plots these patterns on the chart. ‘W’ patterns are marked with small green triangles below the bars, and ‘M’ patterns are marked with small red triangles above the bars.
Trade Entry Points: A horizontal line is drawn at the high or low of the candle to represent potential trade entry points. The line starts from one bar to the left and extends 10 bars to the right.
Trading Strategy:
For investing, use a weekly timeframe.
For swing trading, use a daily timeframe.
For intraday trading, use a 5 or 15-minute timeframe. Only consider sell-side signals for intraday trading.
Take a buy position if the high breaks above the green line or sell if the low breaks below the red line.
Use recent signals only and avoid signals that are too old.
Swing highs or lows will be your stop-loss level.
Always think about your stop-loss before entering a trade, not your target.
Avoid trades with a large stop-loss.
Remember, this script is a tool to aid in your trading decisions. Always test your strategies thoroughly before live trading. Happy trading! 😊
Oscillator Toolkit (Expo)█ Overview
The Oscillators Toolkit stands at the forefront of technical trading tools, offering a comprehensive suite of sophisticated, adaptive, and unique oscillators. This toolkit has been thoughtfully designed to cater to all trading styles, ensuring versatility and utility for every trader. The toolkit features our flagship oscillators, including the WaveTrend Momentum, Leading RSI, Momentum Oscillator, and Bellcurves. Furthermore, it offers many great features such as trend recognition, market impulses, and trend changes; all consolidated into a single, easy-to-use indicator.
Access to these high-quality oscillators and tools can elevate your trading strategy, providing you with insightful market analysis and potential trading opportunities. In addition, these tools help traders and investors to identify and interpret various market trends, momentum, and volatility patterns more efficiently.
The Oscillator toolkit works in any market and timeframe for discretionary analysis and includes many oscillators and features:
█ Oscillators
WaveTrend Momentum
The WaveTrend Momentum oscillator is a significant component of the toolkit. It factors in both the direction and the momentum of market trends. The waves within this system are both quick and responsive, operating independently to offer the most pertinent insights at the most opportune moments. Their rapid response time ensures that traders receive timely information, which is essential in the fast-paced, dynamic world of trading.
Example of how to use the WaveTrend Momentum Oscialltor
The WaveTrend Momentum is proficient at identifying trend reversals and pullbacks, allowing traders to enter or exit trades at optimal moments.
Leading RSI
The Leading Relative Strength Index (RSI) is a type of momentum oscillator that is commonly used in technical analysis to predict price movements. As the name suggests, it is an advanced form of the traditional Relative Strength Index (RSI), and it provides traders with more timely signals for market entries and exits.
The Leading RSI works on similar principles but is designed to provide signals ahead of the traditional RSI. This is achieved through more advanced mathematical modeling and calculations, which aim to identify shifts in market momentum before they happen. It takes into account not only the current price action but also considers historical data in a way that can foresee changes in trend directions.
Example of how to use the Leading RSI
The Leading RSI is an enhanced version of the traditional Relative Strength Index, offering more timely indications of divergences and overbought or oversold market conditions.
Momentum Oscillator
This oscillator measures the amount that a security's price has changed over a given time span. It is an excellent tool for understanding the strength of a trend and its potential endurance. When the momentum oscillator rises, it suggests that the price is moving upwards and vice versa.
The Momentum Oscillator is an advanced technical analysis tool that helps traders identify the rate of change or the momentum of the market. It is typically used to determine the strength or speed at which the price of an asset increases or decreases for a set of returns. This oscillator is considered 'fast-moving' and 'sensitive' because it responds quickly to changes in price momentum. The fast-moving nature of this oscillator helps traders to get early signals for potential market entry or exit points.
The Momentum Oscillator analyzes the current price compared to the previous price and adds two additional layers of analysis: 'Buy & Sell moves' and 'Extremes.'
Buy & Sell Moves: This layer of the oscillator helps identify the buying and selling pressure in the market. This can provide traders with valuable information about the possible direction of future price moves. When there is high buying pressure (demand), the price tends to rise, and when there is high selling pressure (supply), the price tends to fall.
Extremes: This layer helps to identify extreme overbought or oversold conditions. When the oscillator enters the overbought territory, it could indicate that the price is at a high and could potentially reverse. Conversely, if the oscillator enters the oversold territory, it could suggest that the price is at a low and could potentially rebound.
Example of how to use the Momentum Oscillator
The Momentum Oscillator is a sensitive and fast-moving oscillator that adapts quickly to price changes while keeping track of the long-term momentum, making it easier to spot buying or selling opportunities in trends.
Bellcurves
The Bellcurves indicator is a powerful tool for traders that uses statistical analysis to help identify potential market reversals and key support and resistance levels by leveraging the principles of statistical analysis to measure market impulses. The concept behind this tool is the normal distribution, also known as the bell curve, which is a fundamental statistical concept signifying that data tends to cluster around the average or mean value. The "impulses" in the market context refer to significant price movements driven by a high volume of trading activity. These are typically sharp and swift moves either upwards (bullish impulse) or downwards (bearish impulse). These impulses often signify a strong sentiment in the market and can result at the beginning of a new trend or the continuation of an existing one.
In effect, the Bellcurve indicator is designed to filter out minor price fluctuations or 'noise,' allowing traders to focus solely on significant market impulses. This makes it easier for traders to identify key market movements.
Example of how to use the Bellcurve
The Bellcurves uses the principles of statistical analysis to identify significant market impulses and potential market reversals.
█ Why is this Oscillator Toolkit Needed?
The Oscillator Toolkit is a vital asset for traders for several reasons:
Insight into Market Trends: The Oscillator Toolkit provides valuable insight into current market trends. This includes understanding whether the market is bullish (rising) or bearish (falling), as well as identifying potential future price movements.
Identification of Overbought or Oversold Conditions: Oscillators like those in the toolkit can help traders identify when an asset is overbought (potentially overvalued) or oversold (potentially undervalued). This can signal potential market reversals.
Confirmation of Price Patterns: The oscillators in the toolkit can confirm price patterns and trends. For example, if a price pattern suggests a bullish trend, an oscillator can help confirm this by showing rising momentum.
Versatility Across Markets and Timeframes: The Oscillator Toolkit is designed to work across a variety of markets, including stocks, forex, commodities, and cryptocurrencies. It's also effective across different timeframes, from short-term day trading to longer-term investment strategies.
Timely Trade Signals: By providing real-time insights into market conditions and price momentum, the Oscillator Toolkit offers timely signals for trade entries and exits.
Enhancing Trading Strategy: Every trader has a unique approach to the market. The Oscillator Toolkit, with its suite of different oscillators, provides a robust set of tools that can be customized to enhance any trading strategy, whether it's a trend following, swing trading, scalping, or any other approach.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ How are the Oscillators calculated? - Overview
The Toolkit combines many of our existing premium indicators and new technical analysis algorithms to analyze the market. This overview covers how the main features are calculated.
WaveTrend Momentum
The WaveTrend Momentum oscillator operates at its core by comparing the current price to previous prices. If the current price is higher than the previous price, the oscillator value will rise, indicating an uptrend. Conversely, if the current price is lower than the previous price, the oscillator value will fall, indicating a downtrend. To make it unique and useful normalized weighting functions are added.
Leading RSI
The Leading RSI is based on the traditional Relative Strength Index, with an added exploration function that takes into account historical price movements.
Momentum Oscillator
The Momentum oscillator measures how quickly the price is changing, on average, over a certain period, relative to the variability of the price over that same period. It gives higher values when the price is changing rapidly in one direction and lower values when the price is fluctuating or changing more slowly. In addition, other functions, such as market extremes and buying/selling pressure, are factored in.
Bellcurves
The Bellcurves assume that some common historical price data is normally distributed, and once these patterns or moves are found the in the price data, a Bellcurve is formed.
█ In conclusion , the Oscillator Toolkit is an advanced, versatile, and indispensable asset for traders across various markets and timeframes. This innovative collection includes different oscillators, including the WaveTrend Momentum, Leading RSI, Momentum Oscillator, and the Bellcurves Indicator, each serving a unique function in providing valuable insights into the market's behavior.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Paid script
GKD-B Baseline [Loxx]Giga Kaleidoscope Baseline is a Baseline module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend (such as "Baseline" shown on the chart above)
3. Confirmation 1 - a technical indicator used to identify trend. This should agree with the "Baseline"
4. Confirmation 2 - a technical indicator used to identify trend. This filters/verifies the trend identified by "Baseline" and "Confirmation 1"
5. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown.
6. Exit - a technical indicator used to determine when trend is exhausted.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 module (Confirmation 1/2, Numbers 3 and 4 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 5 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 6 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average as shown on the chart above
Volatility/Volume: Jurik Volty
Confirmation 1: Vortex
Confirmation 2: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Now that you have a general understanding of the NNFX algorithm and the GKD trading system. let's go over what's inside the GKD-B Baseline itself.
GKD Baseline Special Features and Notable Inputs
GKD Baseline v1.0 includes 63 different moving averages:
Adaptive Moving Average - AMA
ADXvma - Average Directional Volatility Moving Average
Ahrens Moving Average
Alexander Moving Average - ALXMA
Deviation Scaled Moving Average - DSMA
Donchian
Double Exponential Moving Average - DEMA
Double Smoothed Exponential Moving Average - DSEMA
Double Smoothed FEMA - DSFEMA
Double Smoothed Range Weighted EMA - DSRWEMA
Double Smoothed Wilders EMA - DSWEMA
Double Weighted Moving Average - DWMA
Ehlers Optimal Tracking Filter - EOTF
Exponential Moving Average - EMA
Fast Exponential Moving Average - FEMA
Fractal Adaptive Moving Average - FRAMA
Generalized DEMA - GDEMA
Generalized Double DEMA - GDDEMA
Hull Moving Average (Type 1) - HMA1
Hull Moving Average (Type 2) - HMA2
Hull Moving Average (Type 3) - HMA3
Hull Moving Average (Type 4) - HMA4
IE /2 - Early T3 by Tim Tilson
Integral of Linear Regression Slope - ILRS
Instantaneous Trendline
Kalman Filter
Kaufman Adaptive Moving Average - KAMA
Laguerre Filter
Leader Exponential Moving Average
Linear Regression Value - LSMA ( Least Squares Moving Average )
Linear Weighted Moving Average - LWMA
McGinley Dynamic
McNicholl EMA
Non-Lag Moving Average
Ocean NMA Moving Average - ONMAMA
Parabolic Weighted Moving Average
Probability Density Function Moving Average - PDFMA
Quadratic Regression Moving Average - QRMA
Regularized EMA - REMA
Range Weighted EMA - RWEMA
Recursive Moving Trendline
Simple Decycler - SDEC
Simple Jurik Moving Average - SJMA
Simple Moving Average - SMA
Sine Weighted Moving Average
Smoothed LWMA - SLWMA
Smoothed Moving Average - SMMA
Smoother
Super Smoother
T3
Three-pole Ehlers Butterworth
Three-pole Ehlers Smoother
Triangular Moving Average - TMA
Triple Exponential Moving Average - TEMA
Two-pole Ehlers Butterworth
Two-pole Ehlers smoother
Variable Index Dynamic Average - VIDYA
Variable Moving Average - VMA
Volume Weighted EMA - VEMA
Volume Weighted Moving Average - VWMA
Zero-Lag DEMA - Zero Lag Exponential Moving Average
Zero-Lag Moving Average
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Adaptive Moving Average - AMA
Description. The Adaptive Moving Average (AMA) is a moving average that changes its sensitivity to price moves depending on the calculated volatility. It becomes more sensitive during periods when the price is moving smoothly in a certain direction and becomes less sensitive when the price is volatile.
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA , it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA .
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Deviation Scaled Moving Average - DSMA
The Deviation-Scaled Moving Average is a data smoothing technique that acts like an exponential moving average with a dynamic smoothing coefficient. The smoothing coefficient is automatically updated based on the magnitude of price changes. In the Deviation-Scaled Moving Average, the standard deviation from the mean is chosen to be the measure of this magnitude. The resulting indicator provides substantial smoothing of the data even when price changes are small while quickly adapting to these changes.
Donchian
Donchian Channels are three lines generated by moving average calculations that comprise an indicator formed by upper and lower bands around a midrange or median band. The upper band marks the highest price of a security over N periods while the lower band marks the lowest price of a security over N periods.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average ( DEMA ) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA . It's also considered a leading indicator compared to the EMA , and is best utilized whenever smoothness and speed of reaction to market changes are required.
Double Smoothed FEMA - DSFEMA
Same as the Double Exponential Moving Average (DEMA), but uses a faster version of EMA for its calculation.
Double Smoothed Range Weighted EMA - DSRWEMA
Range weighted exponential moving average (EMA) is, unlike the "regular" range weighted average calculated in a different way. Even though the basis - the range weighting - is the same, the way how it is calculated is completely different. By definition this type of EMA is calculated as a ratio of EMA of price*weight / EMA of weight. And the results are very different and the two should be considered as completely different types of averages. The higher than EMA to price changes responsiveness when the ranges increase remains in this EMA too and in those cases this EMA is clearly leading the "regular" EMA. This version includes double smoothing.
Double Smoothed Wilders EMA - DSWEMA
Welles Wilder was frequently using one "special" case of EMA (Exponential Moving Average) that is due to that fact (that he used it) sometimes called Wilder's EMA. This version is adding double smoothing to Wilder's EMA in order to make it "faster" (it is more responsive to market prices than the original) and is still keeping very smooth values.
Double Weighted Moving Average - DWMA
Double weighted moving average is an LWMA (Linear Weighted Moving Average). Instead of doing one cycle for calculating the LWMA, the indicator is made to cycle the loop 2 times. That produces a smoother values than the original LWMA
Ehlers Optimal Tracking Filter - EOTF
The Elher's Optimum Tracking Filter quickly adjusts rapid shifts in the price and yet is relatively smooth when the price has a sideways action. The operation of this filter is similar to Kaufman’s Adaptive Moving
Average
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA ( Simple Moving Average ). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA .
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Generalized DEMA - GDEMA
The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages.". Instead of using fixed multiplication factor in the final DEMA formula, the generalized version allows you to change it. By varying the "volume factor" form 0 to 1 you apply different multiplications and thus producing DEMA with different "speed" - the higher the volume factor is the "faster" the DEMA will be (but also the slope of it will be less smooth). The volume factor is limited in the calculation to 1 since any volume factor that is larger than 1 is increasing the overshooting to the extent that some volume factors usage makes the indicator unusable.
Generalized Double DEMA - GDDEMA
The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages''. This is an extension of the Generalized DEMA using Tim Tillsons (the inventor of T3) idea, and is using GDEMA of GDEMA for calculation (which is the "middle step" of T3 calculation). Since there are no versions showing that middle step, this version covers that too. The result is smoother than Generalized DEMA, but is less smooth than T3 - one has to do some experimenting in order to find the optimal way to use it, but in any case, since it is "faster" than the T3 (Tim Tillson T3) and still smooth, it looks like a good compromise between speed and smoothness.
Hull Moving Average (Type 1) - HMA1
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses SMA for smoothing.
Hull Moving Average (Type 2) - HMA2
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses EMA for smoothing.
Hull Moving Average (Type 3) - HMA3
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses LWMA for smoothing.
Hull Moving Average (Type 4) - HMA4
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses SMMA for smoothing.
IE /2 - Early T3 by Tim Tilson and T3 new
T3 is basically an EMA on steroids, You can read about T3 here:
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA ( Simple Moving Average ) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Kalman Filter
Kalman filter is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies. This means that the filter was originally designed to work with noisy data. Also, it is able to work with incomplete data. Another advantage is that it is designed for and applied in dynamic systems; our price chart belongs to such systems. This version is true to the original design of the trade-ready Kalman Filter where velocity is the triggering mechanism.
Kalman Filter is a more accurate smoothing/prediction algorithm than the moving average because it is adaptive: it accounts for estimation errors and tries to adjust its predictions from the information it learned in the previous stage. Theoretically, Kalman Filter consists of measurement and transition components.
Kaufman Adaptive Moving Average - KAMA
Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and its smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA ( Least Squares Moving Average )
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA . Although it's similar to the Simple Moving Average , the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track prices better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non-lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Ocean NMA Moving Average - ONMAMA
Created by Jim Sloman, the NMA is a moving average that automatically adjusts to volatility without being programmed to do so. For more info, read his guide "Ocean Theory, an Introduction"
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average . The Linear Weighted Moving Average calculates the average by assigning different weights to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Probability Density Function Moving Average - PDFMA
Probability density function based MA is a sort of weighted moving average that uses probability density function to calculate the weights. By its nature it is similar to a lot of digital filters.
Quadratic Regression Moving Average - QRMA
A quadratic regression is the process of finding the equation of the parabola that best fits a set of data. This moving average is an obscure concept that was posted to Forex forums in around 2008.
Regularized EMA - REMA
The regularized exponential moving average (REMA) by Chris Satchwell is a variation on the EMA (see Exponential Moving Average) designed to be smoother but not introduce too much extra lag.
Range Weighted EMA - RWEMA
This indicator is a variation of the range weighted EMA. The variation comes from a possible need to make that indicator a bit less "noisy" when it comes to slope changes. The method used for calculating this variation is the method described by Lee Leibfarth in his article "Trading With An Adaptive Price Zone".
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrow's price.
Simple Decycler - SDEC
The Ehlers Simple Decycler study is a virtually zero-lag technical indicator proposed by John F. Ehlers. The original idea behind this study (and several others created by John F. Ehlers) is that market data can be considered a continuum of cycle periods with different cycle amplitudes. Thus, trending periods can be considered segments of longer cycles, or, in other words, low-frequency segments. Applying the right filter might help identify these segments.
Simple Loxx Moving Average - SLMA
A three stage moving average combining an adaptive EMA, a Kalman Filter, and a Kauffman adaptive filter.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA .
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed LWMA - SLWMA
A smoothed version of the LWMA
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average ( SMA ), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen as an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA ( Smoothed Moving Average ). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a Two pole Butterworth filter combined with a 2-bar SMA ( Simple Moving Average ) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three-pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA . They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three-pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, its signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two-pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two-pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers .
Variable Index Dynamic Average - VIDYA
Variable Index Dynamic Average Technical Indicator ( VIDYA ) was developed by Tushar Chande. It is an original method of calculating the Exponential Moving Average ( EMA ) with the dynamically changing period of averaging.
Variable Moving Average - VMA
The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility.
Volume Weighted EMA - VEMA
An EMA that uses a volume and price weighted calculation instead of the standard price input.
Volume Weighted Moving Average - VWMA
A Volume Weighted Moving Average is a moving average where more weight is given to bars with heavy volume than with light volume. Thus the value of the moving average will be closer to where most trading actually happened than it otherwise would be without being volume weighted.
Zero-Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero-Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers , as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero-Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA , this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
Exotic Triggers
This version of Baseline allows the user to select from exotic or source triggers. An exotic trigger determines trend by either slope or some other mechanism that is special to each moving average. A source trigger is one of 32 different source types from Loxx's Exotic Source Types. You can read about these source types here:
Volatility Goldie Locks Zone
This volatility filter is the standard first pass filter that is used for all NNFX systems despite the additional volatility/volume filter used in step 5. For this filter, price must fall into a range of maximum and minimum values calculated using multiples of volatility. Unlike the standard NNFX systems, this version of volatility filtering is separated from the core Baseline and uses it's own moving average with Loxx's Exotic Source Types. The green and red dots at the top of the chart denote whether a candle qualifies for a either or long or short respectively. The green and red triangles at the bottom of the chart denote whether the trigger has crossed up or down and qualifies inside the Goldie Locks zone. White coloring of the Goldie Locks Zone mean line is where volatility is too low to trade.
Volatility Types Included
v1.0 Included Volatility
Close-to-Close
Close-to-Close volatility is a classic and most commonly used volatility measure, sometimes referred to as historical volatility .
Volatility is an indicator of the speed of a stock price change. A stock with high volatility is one where the price changes rapidly and with a bigger amplitude. The more volatile a stock is, the riskier it is.
Close-to-close historical volatility calculated using only stock's closing prices. It is the simplest volatility estimator. But in many cases, it is not precise enough. Stock prices could jump considerably during a trading session, and return to the open value at the end. That means that a big amount of price information is not taken into account by close-to-close volatility .
Despite its drawbacks, Close-to-Close volatility is still useful in cases where the instrument doesn't have intraday prices. For example, mutual funds calculate their net asset values daily or weekly, and thus their prices are not suitable for more sophisticated volatility estimators.
Parkinson
Parkinson volatility is a volatility measure that uses the stock’s high and low price of the day.
The main difference between regular volatility and Parkinson volatility is that the latter uses high and low prices for a day, rather than only the closing price. That is useful as close to close prices could show little difference while large price movements could have happened during the day. Thus Parkinson's volatility is considered to be more precise and requires less data for calculation than the close-close volatility .
One drawback of this estimator is that it doesn't take into account price movements after market close. Hence it systematically undervalues volatility . That drawback is taken into account in the Garman-Klass's volatility estimator.
Garman-Klass
Garman Klass is a volatility estimator that incorporates open, low, high, and close prices of a security.
Garman-Klass volatility extends Parkinson's volatility by taking into account the opening and closing price. As markets are most active during the opening and closing of a trading session, it makes volatility estimation more accurate.
Garman and Klass also assumed that the process of price change is a process of continuous diffusion (Geometric Brownian motion). However, this assumption has several drawbacks. The method is not robust for opening jumps in price and trend movements.
Despite its drawbacks, the Garman-Klass estimator is still more effective than the basic formula since it takes into account not only the price at the beginning and end of the time interval but also intraday price extremums.
Researchers Rogers and Satchel have proposed a more efficient method for assessing historical volatility that takes into account price trends. See Rogers-Satchell Volatility for more detail.
Rogers-Satchell
Rogers-Satchell is an estimator for measuring the volatility of securities with an average return not equal to zero.
Unlike Parkinson and Garman-Klass estimators, Rogers-Satchell incorporates drift term (mean return not equal to zero). As a result, it provides a better volatility estimation when the underlying is trending.
The main disadvantage of this method is that it does not take into account price movements between trading sessions. It means an underestimation of volatility since price jumps periodically occur in the market precisely at the moments between sessions.
A more comprehensive estimator that also considers the gaps between sessions was developed based on the Rogers-Satchel formula in the 2000s by Yang-Zhang. See Yang Zhang Volatility for more detail.
Yang-Zhang
Yang Zhang is a historical volatility estimator that handles both opening jumps and the drift and has a minimum estimation error.
We can think of the Yang-Zhang volatility as the combination of the overnight (close-to-open volatility ) and a weighted average of the Rogers-Satchell volatility and the day’s open-to-close volatility . It considered being 14 times more efficient than the close-to-close estimator.
Garman-Klass-Yang-Zhang
Garman-Klass-Yang-Zhang (GKYZ) volatility estimator consists of using the returns of open, high, low, and closing prices in its calculation.
GKYZ volatility estimator takes into account overnight jumps but not the trend, i.e. it assumes that the underlying asset follows a GBM process with zero drift. Therefore the GKYZ volatility estimator tends to overestimate the volatility when the drift is different from zero. However, for a GBM process, this estimator is eight times more efficient than the close-to-close volatility estimator.
Exponential Weighted Moving Average
The Exponentially Weighted Moving Average (EWMA) is a quantitative or statistical measure used to model or describe a time series. The EWMA is widely used in finance, the main applications being technical analysis and volatility modeling.
The moving average is designed as such that older observations are given lower weights. The weights fall exponentially as the data point gets older – hence the name exponentially weighted.
The only decision a user of the EWMA must make is the parameter lambda. The parameter decides how important the current observation is in the calculation of the EWMA. The higher the value of lambda, the more closely the EWMA tracks the original time series.
Standard Deviation of Log Returns
This is the simplest calculation of volatility . It's the standard deviation of ln(close/close(1))
Pseudo GARCH(2,2)
This is calculated using a short- and long-run mean of variance multiplied by θ.
θavg(var ;M) + (1 − θ) avg (var ;N) = 2θvar/(M+1-(M-1)L) + 2(1-θ)var/(M+1-(M-1)L)
Solving for θ can be done by minimizing the mean squared error of estimation; that is, regressing L^-1var - avg (var; N) against avg (var; M) - avg (var; N) and using the resulting beta estimate as θ.
Average True Range
The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.
The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges.
True Range Double
A special case of ATR that attempts to correct for volatility skew.
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
Unicorn QuantDeeply customizable trading algorithm with instant backtesting. It emulates real trading and displays all the actions it takes on the chart. For example, it shows when to enter or partially close a position, move Stop-Loss to breakeven, etc. The user can replicate these actions in their trading terminal in real time. The algorithm uses up to three Take-Profit levels, and a Stop-Loss level that can move in a trade to protect the floating profit.
The script can send real-time alerts to the user’s Email and to the cell phone via notifications in the TradingView app.
The indicator is designed to be used on all timeframes, including lower ones for intraday trading and scalping.
HOW TO USE
Set the Stop-Loss and up to three Take-Profit levels. Choose the rules for moving the Stop-Loss level in a trade. Adjust the sensitivity of the trading signals. And check the backtest result in the Instant Backtesting dashboard. If the performance of the strategy satisfies you, proceed with the forward testing or live trading.
When using this script, please, keep in mind that past results do not necessarily reflect future results and there are many factors that influence trading results.
FEATURES
Trading Signals
The feature calculates Buy and Sell signals for trend or swing trading. The user can change the Sensitivity parameter to control the frequency of the signals. This allows them to be adjusted for different markets and timeframes.
Position Manager
To make the Position Manager setup as easy as possible, the algorithm calculates Stop-Loss and Take-Profit levels in Average True Range (ATR) units. They are self-adjusting for any market and timeframe, since they account for its average volatility .
You don't have to worry about what market you are trading - Forex, Stocks, Crypto, etc. With the self-adjusting Stop-Loss and Take-Profit, you can find settings that work for one market and use the same numerical values as a starting point for a completely different market.
Instant Backtesting
After changing any settings, you can immediately see the performance of the strategy on the Instant Backtesting panel. Two metrics are displayed there - the percentage of profitable trades and the total return. This information, as well as the historical trades shown on the chart, will help you quickly and easily evaluate the settings.
SETTINGS
TRADING SIGNALS
Sensitivity - controls the sensitivity of the trading signals algorithm. It determines the frequency of the trading signals. The higher the value of this parameter, the less trading signals you get and the longer trends the algorithm tries to catch. The lower the sensitivity value, the more signals you receive. This can be useful if you want to profit from small price movements.
POSITION MANAGER
SL - sets the Stop-Loss level measured in ATR units.
TP1, TP2, TP3 - set the Take-Profit levels measured in the ATR units.
Close % at TP1, Close % at TP2, Close % at TP3 - set portions of the open position (as a percentage of the initial order size) to close at each of the TP levels.
At TP1 move SL to, At TP2 move SL to - set the rules for moving the Stop-Loss level in an open trade to protect the floating profit.
Show Open Position Dashboard - turns on/off a dashboard that shows the current Stop-Loss and Take-Profit levels for the open position.
BACKTESTING
Use Starting Date - turns on/off the starting date for the strategy and backtests. When off, all available historical data is used.
Starting Date - sets the starting date for the strategy and backtests.
Show Instant Backtesting Dashboard - turns on/off a dashboard that shows the current strategy performance: the percentage of profitable trades and total return.
Leverage - sets the leverage that the strategy uses.
Auto Fibonacci Retracement - Real-Time (Expo)█ Fibonacci retracement is a popular technical analysis method to draw support and resistance levels. The Fibonacci levels are calculated between 2 swing points (high/low) and divided by the key Fibonacci coefficients equal to 23.6%, 38.2%, 50%, 61.8%, and 100%. The percentage represents how much of a prior move the price has retraced.
█ Our Auto Fibonacci Retracement indicator analyzes the market in real-time and draws Fibonacci levels automatically for you on the chart. Real-time fib levels use the current swing points, which gives you a huge advantage when using them in your trading. You can always be sure that the levels are calculated from the correct swing high and low, regardless of the current trend. The algorithm has a trend filter and shifts the swing points if there is a trend change.
The user can set the preferred swing move to scalping, trend trading, or swing trading. This way, you can use our automatic fib indicator to do any trading. The auto fib works on any market and timeframe and displays the most important levels in real-time for you.
█ This Auto Fib Retracement indicator for TradingView is powerful since it does the job for you in real-time. Apply it to the chart, set the swing move to fit your trading style, and leave it on the chart. The indicator does the rest for you. The auto Fibonacci indicator calculates and plots the levels for you in any market and timeframe. In addition, it even changes the swing points based on the current trend direction, allowing traders to get the correct Fibonacci levels in every trend.
█ How does the Auto Fib Draw the levels?
The algorithm analyzes the recent price action and examines the current trend; based on the trend direction, two significant swings (high and low) are identified, and Fibonacci levels will then be plotted automatically on the chart. If the algorithm has identified an uptrend, it will calculate the Fibonacci levels from the swing low and up to the swing high. Similarly, if the algorithm has identified a downtrend, it will calculate the Fibonacci levels from the swing high and down to the swing low.
█ HOW TO USE
The levels allow for a quick and easy understanding of the current Fibonacci levels and help traders anticipate and react when the price levels are tested. In addition, the levels are often used for entries to determine stop-loss levels and to set profit targets. It's also common for traders to use Fibonacci levels to identify resistance and support levels.
Traders can set alerts when the levels are tested.
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Disclaimer
Copyright by Zeiierman.
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications.
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Included moving averages
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA.
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required.
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA.
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Hull Moving Average - HMA
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points.
IE/2 - Early T3 by Tim Tilson
The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator".
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA (Least Squares Moving Average)
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA.
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
The TMA and Sine Weighted Moving Average Filter are almost identical at times.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers.
Volume Weighted EMA - VEMA
Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements.
Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings.
Zero Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
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What are Heiken Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following:
(Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Expanded generic source types:
Close = close
Open = open
High = high
Low = low
Median = hl2
Typical = hlc3
Weighted = hlcc4
Average = ohlc4
Average Median Body = (open+close)/2
Trend Biased = (see code, too complex to explain here)
Trend Biased (extreme) = (see code, too complex to explain here)
Included:
-Toggle bar color on/off
-Toggle signal line on/off
TPRC - Time-based Price Range Channel [Free]You define a time range (hours and minutes) and based on this, the indicator draws the price range (high / low) as a channel in your chart - projected into the future and, if desired, also for past days. You are completely free to choose the time range and NOT limited to trading sessions.
In addition, further lines are drawn below / above the price range channel at a distance that you can define (based on the price range).
These lines can serve as target levels, support and resistance lines.
What functions does this free version of the indicator offer?
Selection of the time range for which a price range is to be determined and based on this a price range channel is to be created
Display of 3 additional lines above / below the price range channel
Distance between the lines: height of the price range
Display of the price range channels for the past 3 days as well as for the current day.
Lines are shown in gray
For the past days, only those lines are displayed that are required due to the distance to the price. This will make your chart cleaner.
(Details about the premium version can be found on TradingView: )
How can this indicator be used?
The time-based price range channel and the additional lines can serve as support and resistance lines.
Whether you are enthusiastic about scalping, swing trading or another type of trading,… “TPRC - Time-based Price Range Channel” could therefore support you. Try it out. I want to invite you to experiment and thereby adapt “TPRC” to your own way of trading.
Due to the free choice with regard to the time span, for example “opening range (break-out)” strategies and the like are conceivable. Much has been written or published as a video on the subjects of "Price Range Trading", "Range Trading", "Opening Range Breakout Trading" and the like. Research on this is recommended to every interested trader. I would be happy to provide a list of interesting articles on this topic - just send me a short message.
Due to the implementation and the functions, the focus is definitely on intraday trading strategies.
For which timeframe is this indicator intended?
This indicator was developed for Chart Time Intervals between 1 and 120 minutes, whereby the following Chart Time Intervals have proven themselves and successfully withstand tests: 1, 2, 5, 10, 15, 30, 60, 90
What do I need to consider?
It may be advisable to add further indicators and an analysis of the market structure in order to confirm the signals issued by the indicator. Please note that when you make adjustments to any strategy, you always carry out particularly detailed tests.
Will this indicator be further developed and will I receive free updates?
All my indicators are of course constantly updated and, if possible and with the aim of the indicator justifiable, supplemented by user requests.
An example of the use of this indicator (here with the premium version)
#revision: dv699
RobocanThis script is equipped with
🔵 Robo 2
It offers strategic trading entry and exit points. Truly unique tool for technical analysis for the financial market as it includes calculation of specific metrics like MACD, ATR and RSI.
🔵 Bull & Bear
The signal can be a fairly valuable tool. Momentum is one of those aspects of the market that is crucial to understanding price movements, yet it is so hard to get a solid grip on. It can be used in some instances to generate quality signals but much like with any signal generating indicator, it should be used with caution.
When indicator gives you " Bull " signal , short term momentum is now rising faster than the long term momentum. This can present a bullish buying opportunity.
When indicator gives you "Bear " signal, short term momentum is now falling faster then the long term momentum. This can present a bearish selling opportunity.
🔵 Robo's Cloud
The indicator inspired from Ichimoku CLoud, it uses an unique formula to generate clouds on its own system!
" BUY or ENTER "when the price breaks the Cloud in the direction of the breakout (UP ) and the cloud turns to green colour. Stay in the market until the cloud turns to red colour. Let's assume that You are a swing trader and use 1D candles as long as The candle is above the "green " cloud , you should continue with a trend! No need to hurry to sell until you see the " red " cloud.
🔵 Super Robo
It can perform greatly in a bull and bear market
It's unique algorithm find profitable coins based on "Early Bird + Buy 2 + Volume "gives you ENTRY and EXIT ideas
It works perfectly on the 1W - 3D - 1D charts
🔵 Hell & Moon
When the “Moon or Hell “closes below top of the closing price, a Moon - Buy signal is generated
It works perfectly on the 1W - 1D - 3H charts
🔵 Early Bird Signals
Being an early bird rather than a night owl will naturally lead you to become more successful in trading. There is no secret magic formula to success; this is something you must accept. Trading success is the result of a ‘simple’ list made up of four things: hard work, timing, persistence , and a good dose of Early Bird signals.
it provides high risk & high reward opportunities.
Dont use more than 3 Robo signals at the same time on the chart. Why?
Example, Robo 2 already included 3 different indicators in the formula.
Robo 2 : Truly unique tool for technical analysis for the financial market as it includes calculation of specific metrics like SAR + MACD + Price Movement that gives you ENTRY and EXIT ideas ( Buy 2 & Sell 2 )
If you use more than 3 robo signals, you try to use around " 10 - 12 " different indicators at the same time!
DON'T DO IT!
To get maximum results from your robo advisors, follow the advice below ;
A ) 3 robo signals
B ) 3 robo signals + 1 side strategy
A or B + Pick one bonus below
Dynamic Support Resistance,
Fibonacci Levels
Pivot Support Resistance
Robo signals :
Robo 1
Robo 2
Super EngineeringRobo
Robo 3
Robo 4
Bull & Bear
Hell & Moon
Early Bird
EngineeringRobo's cloud
Ultimate MA crossover strategy
Side strategies :
McGinley Dynamic
Bollinger Bands Strategy
MA 20 & MA 50
MA 50 & MA 200
EMA Trendlines
Robo ( 2 + 3 ) shows you that if the signals are covering each other. So, It is good to keep open it when you use Robo 2 and Robo 3 at the same time.
If you are following any signals, you should always wait for the candle close before buying or selling.
The signal can come and go anytime during the live candle. ALL indicators do that, that is not considered repainting.
Repainting is when a signal appears, the candle is closed, and when you refresh the chart it disappeared. It is logical that until the candle is closed the signal is not decided yet, hence the alert setup as Once per bar Close.
Deluxe never repaints! Yes, you heard it right: you will never have to worry about signal changing after the candle is closed.
________________________________________________________________________Timeframes_____________________________________________________________________
Our recommendations to get the best results:
Swing Trading Crypto : Use 1D Time Frame Candles
Swing Trading Stocks : Use 1W Time Frame Candles
Swing Trading Commodities : Use 1W Time Frame Candles
Day Trading Crypto : Use 3H Time Frame Candles
Day Trading Stocks : Use 1D Time Frame Candles
Day Trading Commodities : Use 1D Time Frame Candles
Not recommended any other time frames.
It gives you all the tools and information you need for day-to-day trading and investing, while also keeping a great buy and sell signals! No excuse to lose in any financial market anymore! Try now!
How can you add the algorithm into your chart?
1. Login to TradingView.com
2. From the homepage, click on ‘Chart’ in the top navigation bar
3. Select “Indicators” on the top-center-middle panel
4. In the indicator library, type "Robocan "
5. Use the website link below to obtain access to this indicator
[blackcat] L5 Linebreak MasterLevel: 5
Background
Like many people in the Tradingview community, I have been studying how to apply Line Break Chart to backtesting and live trading for long. However, as we all know, the official Tradingview Line Break Chart is not recommended for backtesting because it will lead to unrealistic backtesting results. So, I thought about developing a Line Break Chart that can be used for backtesting and trading. This "L5 Linebreak Master" is one of them that I am introducing today.
This indicator is based on OHLC data, because this kind of chart can be used for reliable backtesting and live trading in Tradingview. Therefore, the Linebreak Master in this script can actually coexist with the standard Japanese candlestick chart, but the trend reversal information it prompts is based on a principle similar to Line Break Chart. When the two can coexist and produce trading signals at the same time, this is really a very interesting invention.
Function
Linebreak charts were developed in Japan and popularized here by Steve Nisson in his book Beyond Candlesticks. The purpose of linebreak charts is to filter out market noise and give a clear indication of the current trend and trend reversals. As you may know, sometimes determining the current trend can be difficult due to market price movement that consolidates, and a trend reversal can be just as difficult. The green and red bars are called lines. Notice that whenever we have consecutive green lines, each line has a higher close than the previous one; when we have consecutive red lines each line has a lower close than the previous line.
First of all, this Linebreak chart can coexist in the main chart with the Japanese candlestick chart. However, many parts may be overlapped with Japanese candle stick to see it clearly. My recommendation is that users can click "Settings" of main chart and turn off default candle chart.
Secondly, this Linebreak chart can be used for backtesting strategies, because it is essentially OHLC data. And the absolute values of the price is based on the original OHLC data. The certainty of the trend reversal is relatively high. It can be compared with Japanese candlesticks on the timeline.
Finally, this Linebreak chart is embedded with a Linebreak intrinsic trading strategy, which can be used to locate entry points through red and green labels. This strategy supports Tradingview alerts. You can get "LONG" or "SHORT" trading reminders by creating alerts. In order to obtain a clear market structure, Zen Stroke (Autolength ZigZag ), Zen Kiss (Special Moving Averages), Fibnacci Retracement Golden Levels, Unique Fibnacci Time windows and Dynamic Fibonicci support and resistance arrows can be checked to be superimposed and displayed on the main chart to facilitate understanding of the temporal and spatial position of prices in the market.
A trading system based on linebreak charts must must have all entries and exits based on the close or open of a line. The two key values of a linebreak chart are the linebreak number and the underlying time interval. We can construct linebreak charts based on daily, weekly, 5 minute, hourly, any time frame. This allows us to adapt it for day trading or swing trading systems. I developped an inheret linebreak strategy with labels facilitate you to locate trend reversals.
Indicator Set
Linebreak Master Chart (新价图)
Zen Stroke (Auto ZigZag , 自动画缠论笔)
Zen Kiss Moving Averages (缠论均线)
Fibnacci Retracement Golden Levels (半对数-黄金分割线)
Unique Fibnacci Time windows (独创的斐波那契时间窗口)
Dynamic Fibonicci support and resistance arrows (动态斐波那契支撑和阻力箭头)
Inputs
Source Type: Open, High, Low, Close, Hl2, Hlc3, Lx, Vwapc, Vwaplx, Vwaphl2 (Case Sensitive)
Returns source input selection variant, default to "Close" if blank or typo.
Open --> open
High --> High
Low --> Low
Close --> Close
Hl2 --> hl2
Hlc3 --> hlc3
Lx --> Lao Xu 1949 Median Price
Vwapc --> vwap based on close
Vwaplx --> vwap based on Lao Xu 1949 Median Price
Vwaphl2 --> vwap based on hl2
Show Zen Stroke --> True as default
Show Fib Space based on Semi-LOG --> True as default
Zen Fractals Lookback Period --> 377 as default
Key Signal
Bars
Green bars for up trend
Red bars for down trend
Labels
Green labels for buy/long.
Red labels for sell/short.
Zen Stroke ( ZigZag )
Green line section for up stroke
Red line section for down stroke
Moving Averages
Yellow for fast line
Fuchsia for slow line
Pros and Cons
Suitable for discretionary trading and bots via alerts. However, only well selected trading pair and time frame can guarantee bot works.
Intuitive and effective, the output signal is more reliable after multi-indicator resonance
Remarks
My fourth L5 indicator published
Closed-source
Invite-only
How to get it?
500 Tradingview Coins Per Monthly Subscription
5000 Tradingview Coins Per Yearly Subscription
INTRADAY/SWING TRADING - 3 EMASEstimados/as inversores:
Diagramé este indicador para hacer tradings de corto o muy corto plazo.
Es un indicador que a simple vista ayuda al usuario a entrar en posiciones de Compra o de Venta.
Este indicador es un sistema de 3 EMAS. La primera, la de color verde es una EMA de 4 periodos. La segunda, la de color amarillo es una EMA de 9 periodos. Y por último, la de color rojo es una EMA de 18 periodos.
Por otro lado tiene señales de Compra y de Venta las cuales tienen una alta eficacia y eficiencia.
Las señales de BUY (Compra) se dan cuando la EMA verde cruza al alza a la EMA roja. Las señales de SELL (Venta) se dan cuando la EMA roja cruza a la baja a la EMA verde.
En algunas ocasiones, estos cruces se pueden producir muy rápido generando unas falsas entradas en compra o en venta según corresponda.
Para subsanar esto, es importante que se utilice este sistema de BUY y SELL con las columnas de color verde o rojo según corresponda según se ve el gráfico.
El fondo de color verde se da cuando la EMA verde y la EMA amarilla se encuentran por encima de la EMA roja. Sin embargo, cuando la EMA roja se encuentra por encima de la EMA verde y de la EMA amarilla el fondo es de color rojo.
Es importante remarcar que si la EMA verde está por encima de la EMA roja pero la EMA amarilla se encuentra por debajo de la EMA roja, en el gráfico no se va a ver ningún color de fondo. Por otro lado, cuando la EMA verde este por debajo de la EMA roja, pero la EMA amarilla todavía se encuentre por encima de la EMA roja, tampoco va a poder verse ningún tipo de color de fondo.
En resumidas cuentas:
COMPRA-BUY -> Cuando aparezca la señal de BUY y además, esta señal se complemente con un fondo de color VERDE, entonces debemos entrar en LONG. Para cerrar la operación, de manera ganadora, tenemos que esperar a que desaparezca el color de fondo VERDE.
VENTA-SELL -> Cuando aparezca la señal de SELL y además, esta señal se complemente con un fondo de color ROJO, entonces, debemos entrar en SHORT. Para cerrar la operación, de manera ganadora, tenemos que esperar a que desparezca el color de fondo ROJO.
RECOMENDACIÓN: Siempre tener presente que cada inversor tiene una aversión al riesgo distinta. Por favor, cada uno que use este indicador, primero haga una gestión de riesgo y utilice SIEMPRE Stop Loss luego de abrir una posición ya sea estipulando que el precio va a subir o a bajar, es decir, entrando en LONG o en SHORT.
Espero que este indicador les sirva.
Saludos a todos.
DEAR INVESTORS:
I plotted this indicator for short or very short term trading.
It is an indicator that at a glance helps the user to enter Buy or Sell positions.
This indicator is a 3 EMAS system. The first, the green one, is a 4-period EMA . The second one, the one in yellow, is a 9-period EMA . And finally, the one in red is an EMA of 18 periods.
On the other hand, it has Buy and Sell signals which are highly effective and efficient.
The BUY signals are given when the green EMA crosses higher than the red EMA . SELL (Sell) signals are given when the red EMA crosses down to the green EMA .
On some occasions, these crosses can occur very quickly, generating false tickets for purchase or sale as appropriate.
To correct this, it is important that this system of BUY and SELL is used with the green or red columns as appropriate as the graph is seen.
The green colored background occurs when the green EMA and the yellow EMA are above the red EMA . However, when the red EMA is above the green EMA and the yellow EMA the bottom is red.
It is important to note that if the green EMA is above the red EMA but the yellow EMA is below the red EMA , no background color will be seen on the chart. On the other hand, when the green EMA is below the red EMA , but the yellow EMA is still above the red EMA , you will not be able to see any kind of background color either.
In short:
BUY-BUY -> When the BUY signal appears and this signal is complemented by a GREEN background, then we must enter LONG. To close the operation, in a winning way, we have to wait for the GREEN background color to disappear.
VENTA-SELL -> When the SELL signal appears and also this signal is complemented with a RED background, then, we must enter SHORT. To close the operation, in a winning way, we have to wait for the RED background color to disappear.
RECOMMENDATION: Always keep in mind that each investor has a different aversion to risk. Please, everyone who uses this indicator, first do a risk management and ALWAYS use Stop Loss after opening a position either by stipulating that the price is going to rise or fall, that is, entering LONG or SHORT.
I hope this indicator helps you.
Greetings to all.
[blackcat] L2 Ehlers Fisherized Deviation Scaled OscillatorLevel: 2
Background
John F. Ehlers introuced Fisherized Deviation Scaled Oscillator in Oct, 2018.
Function
In “Probability—Probably A Good Thing To Know,” John Ehlers introduces a procedure for measuring an indicator’s probability distribution to determine if it can be used as part of a reversion-to-the-mean trading strategy. Dr. Ehlers demonstrates this method with several of his existing indicators and presents a new indicator that he calls a deviation-scaled oscillator with Fisher transform. It charts the probability density of an oscillator to evaluate its applicability to swing trading.
Key Signal
FisherFilt --> Ehlers Fisherized Deviation Scaled Oscillator fast line
Trigger --> Ehlers Fisherized Deviation Scaled Oscillator slow line
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 91th script for Blackcat1402 John F. Ehlers Week publication.
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.
Vicious Cycle 1.2 [CR] - Enhanced█ OVERVIEW
Vicious Cycle 1.2 is an advanced oscillator-based momentum indicator designed to identify high-probability reversal and continuation setups. This new version features adaptive threshold technology, visual trend state classification, and a higher timeframe alignment system to filter low-quality signals.
The indicator analyzes multiple timeframe components and market dynamics to generate a composite momentum score, which is then smoothed and compared against statistical thresholds. Unlike traditional static oscillators, Vicious Cycle adapts its sensitivity zones to current market conditions, reducing false signals during volatile periods and increasing responsiveness during consolidation.
█ FEATURES
Adaptive Threshold System
The indicator employs percentile-based threshold calculations that automatically adjust to recent market behavior. This ensures optimal signal generation across different instruments and market regimes without manual recalibration.
• Toggle between dynamic and fixed threshold modes
• Adjustable lookback period for threshold calculation (50-500 bars)
• Customizable percentile levels for sensitivity tuning
• Separate calibration for overbought and oversold zones
Visual Trend State Classification
Background coloring provides instant visual feedback on market condition strength without requiring analysis of indicator position. The six-state classification system combines oscillator position with signal line relationship to identify:
• Strong bullish momentum
• Moderate bullish bias
• Weak bullish condition
• Weak bearish condition
• Moderate bearish bias
• Strong bearish momentum
Higher Timeframe Trend Alignment
An optional filtering system analyzes higher timeframe trend direction to block counter-trend signals. Two modes are available:
• Single EMA Mode: Uses price position relative to a customizable moving average
• Dual EMA Mode: Employs fast and slow moving average crossover logic
The filter only permits long signals during bullish trends and short signals during bearish trends, significantly improving signal quality in trending markets.
Signal Detection Modes
Multiple signal generation methods accommodate different trading styles:
• Zone-Based Signals: Fires when oscillator crosses key threshold levels
• Signal Line Cross: Generates entries based on oscillator and signal line interaction
Comprehensive Alert System
Pre-configured alert conditions cover all major indicator events:
• Primary signal alerts (zone cross and signal line methods)
• Zone entry and exit warnings
• Extreme level notifications
• Trend filter status changes
• Convenience aggregators for "any long" or "any short" condition
█ HOW TO USE
Initial Configuration
The indicator ships with optimized default settings suitable for most instruments and timeframes. New users should observe the indicator's behavior for at least 50 signals before adjusting parameters.
1 — Add the indicator to your chart and leave default settings unchanged.
2 — Monitor signal generation and background color transitions for several trading sessions.
3 — Set up basic alerts using the "ANY LONG Signal" and "ANY SHORT Signal" conditions.
4 — After observation period, adjust sensitivity based on your instrument's characteristics.
Threshold Configuration
For instruments with higher volatility, increase the percentile values (example: 90/75 instead of 85/65). For ranging or lower volatility instruments, decrease percentile values (example: 80/60 or 75/55).
The lookback period controls how quickly thresholds adapt to changing conditions. Longer lookbacks (150-200) provide smoother adaptation, while shorter lookbacks (50-75) offer more responsive adjustments.
Trend Filter Guidelines
Enable the trend filter in clearly trending markets to reduce whipsaw trades. In ranging or choppy conditions, consider disabling the filter or using a shorter EMA period.
• For position trading: Use 200-period single EMA
• For swing trading: Use 150-period single EMA or 50/200 dual EMA
• For day trading: Use 100-period single EMA or 50/100 dual EMA
If the filter blocks all signals, the market may be ranging near the trend reference level. This is intentional behavior designed to keep you out of low-probability setups.
Signal Interpretation
Primary signals occur when the oscillator crosses threshold zones or intersects the signal line in extreme regions. The strongest setups combine:
• Signal generation in the expected direction
• Background color matching the trade direction (bright colors indicate high conviction)
• Trend filter alignment
• Price action confirmation at key support or resistance levels
█ NOTES
Alert Configuration
Alerts must be manually configured in TradingView and do not activate automatically. Access the alert menu by clicking the indicator name and selecting "Add Alert on Vicious Cycle 1.2...". Choose your desired condition from the dropdown menu and configure notification preferences.
We recommend starting with the aggregated "ANY" alerts rather than subscribing to all individual signal types, as this prevents notification overload during active market periods.
Dynamic Threshold Behavior
The adaptive threshold system requires sufficient historical data (minimum equal to the lookback period setting) to calculate percentiles accurately. During the initial bars, threshold values may appear unusual until adequate history accumulates. This is expected behavior and resolves automatically.
Performance Considerations
The indicator performs percentile calculations on each bar using array operations. While optimized for efficiency, users experiencing performance issues on lower-end devices may reduce the dynamic lookback period or disable the adaptive threshold feature to use fixed thresholds instead.
Compatibility
Vicious Cycle 1.2 is built on Pine Script version 6 and works on all instrument types and timeframes. The indicator does not repaint—all signals finalize at bar close. Historical signals remain stable and do not change with additional price data.
█ RISK DISCLOSURE
This indicator is an analytical tool and does not constitute financial advice. No indicator or trading system guarantees profitable results. Always employ proper risk management, position sizing, and stop-loss protocols. Past performance does not indicate future results. Users are responsible for their own trading decisions and outcomes.
Stock Analysis SoftwareStock Analysis Software is a full trading setup and style that is meant for swing trading stocks, but can also be used for Forex, cryptocurrencies, indices and commodities. Whatever your choice of trading style (Intraday, Scalping, Swing trading, Investing) or trading instrument is (FX, Futures, Cryptos, Stocks) I can tailor it for you specifically. For example if you want to use it for trading Forex intraday I will show you how to use it for that.
The software consists of 11 indicators, 7 are custom and 4 are common and well known indicators available on Tradingview. The system itself is part software and part learning my specific pattern finding techniques. There is no one without the other. This is a complete system
This trading system is something I have developed over the last 10 years through extensive research and development and is now available on this platform.
The indicators used are mostly screening for trend breakouts, support and resistance, specific candle patterns, overextended, volume spikes and more.
This is a system that can be taught easily if one is motivated to learn.
The setup includes a video guide and a live one-on-one full breakdown on how to use it to your benefit.
Trade Crusher: Swing and Day Trade IndicatorHow to use the indicator
Add to favorites/apply to chart.
The indicator can be used for both Swing trade and Intra-day trading.
Swing trading:
--Use with background colors
--Input: 30 or 36
--Time frame: Daily or Weekly
--Buy only when background is aqua
--Sell only when background is red
--Use with bars or candles (use candles without borders to avoid confusion). I suggest to just use bars.
--Place buy orders above the 1st or 2nd blue bar after black bars. The background must be aqua.
--Ignore yellow bars with aqua background. They are shake out bars at the beginning or a trend and warnings of reversal
towards the end of trend.
--Place sell orders bellow the 1st or 2nd yellow bar after black bars. The background must be red.
--Ignore blue bars with red background (same as above).
--Black bars are nothing: Pullbacks/Chop
Day Trading:
--DO NOT use background colors. Un-click.
--Input: 10
--Time frame: 5 minutes
--Use with bars or candles (use candles without borders to avoid confusion). I suggest to just use bars.
--Place buy orders above the 1st or 2nd blue bar after black bars.
--Place sell orders bellow the 1st or 2nd yellow bar after black bars.
--Utilize some sort of scanner that can identify stocks with heavy pre-market volume (news, earnings, etc)
***
Use stop losses however you normally do. Take profits however you normally do.
I do not suggest using with other indicators as you may just paralyze your brain, however, if you find something that works, drop a comment.
Best of luck
TrendShikari NTS - StudyTrendShikari NTS is a Nifty Index, Swing trading system with great profitability. This is the STUDY file for you to generate E-mail / SMS signal alerts (based on your TV plan) and to see crisp and clear graphical Daily trade level plotting. For seeing backtest results and next day trading levels in advance use the STRATEGY file from indicator library. Access to this system will be limited. See my profile status field to see how you can gain access.
Salient Features
1. Daily Bar System. System analyzes a Daily chart of NIFTY to give signals with average holding period of 5 days.
2. Automatic Long and Short signal generation. No need to draw waves / lines and other fancy stuff on your charts to analyze NIFTY any more.
3. Backtester Results Available - Thanks to TradingView, backtest results for previous years (from 1990) are available right in the charting platform for NIFTY.
Having a good trading system is one thing and trading it to make money is a whole different ball game. One thing you must always do if you want to mimic the backtest results in live trading is to follow the rules mentioned below as if your life depends on it.
Trading Rules
1. Each day the system gives you a Long and Short trading level. You go Long on NIFTY when the Daily Long level is breached and you go Short on NIFTY when the Daily Short Level is breached.
2. Trade using Nifty Options, In the Money calls, one strike below the nearest strike price for going Long using Call Option or one strike above the nearest strike price for going Short using Put Option.
3. Preset exit and entry orders of appropriate option contracts every day at market open. To set the levels see the difference in Nifty spot price and the trading levels given by system and then multiply it with 0.8 to give an approximate order trigger price in both directions for the corresponding option contracts.
4. Book profit when Nifty moves significantly along signal direction. Every time NIFTY moves 100 points in your direction you exit the current option contract and enter a trade in the next strike price in the same direction.
5. Rollover before expiry. Its important that you rollover (ideally one day before the expiry day) your Option contact positions by exiting the current month contract and take a new position in the next month contract of the same type and strike price of the current month contract.
6. Trade only Nifty using this system. Also Daily chart has to be used for trading. System parameters have been tested and optimized for Nifty Index Daily patterns only and hence is likely to give stated results with Nifty Daily chart only.
7. Trade all signals. Don't pick and choose or add your own or someone else's analysis to filter the signals. Take confidence from the objective backtest results and not any subjective interpretations.
8. Trade with only that amount of money you can afford to loose. Initial capital that you need to have to trade one lot of NIFTY Option using this system should be at least INR 150000. You need only INR 7500 - 15000 to open a position and the rest is the margin of safety you need to have in your trading account to account for drawdowns in trading. You can add the capital in a staggered need to basis to your trading account. But make sure you have the initial capital mentioned above at your disposal, if need be.
As always your thoughts and inputs are welcome. Happy Trading !!!
Pro Harmonic Patterns Hunter [abo0o]Advanced harmonic pattern recognition system designed for professional traders.
Automatically detects 🦈 Shark, 🦋 Butterfly, and 🦀 Crab harmonic patterns using optimized Fibonacci ratio analysis. Built with precision algorithms to identify high-probability reversal zones across any market condition.
📊 Key Features:
Real-time pattern completion detection
Multi-timeframe compatibility (all timeframes supported)
Three-tier take profit system based on Fibonacci extensions
Fixed parameters to ensure consistent performance
Clean visual presentation with directional color coding
Strict harmonic ratio validation
📈 Applications:
Works reliably across Forex, Stocks, Crypto, Indices, and Commodities. Suitable for day trading, swing trading, and position trading strategies.
🔧 Technical Details:
Automated ZigZag pivot detection
Pattern similarity filtering for quality control
Non-repainting signal generation
🌹Special thanks to TradingView for providing the platform and tools that make innovations like this possible.
ICT Premium/Discount Zones [Exponential-X]Premium/Discount Zones - Visual Market Structure Tool
Overview
This indicator helps traders visualize premium and discount price zones based on recent market structure. It automatically identifies swing highs and lows within a specified lookback period and divides the price range into three key areas: Premium Zone, Equilibrium, and Discount Zone.
What This Indicator Does
The script continuously monitors price action and calculates:
Highest High and Lowest Low within the lookback period
Equilibrium Level - the midpoint between the swing high and low
Premium Zone - the area from equilibrium to the swing high (typically viewed as relatively expensive price levels)
Discount Zone - the area from the swing low to equilibrium (typically viewed as relatively cheap price levels)
Core Calculation Method
The indicator uses pivot point logic to identify significant swing highs and lows based on the pivot strength parameter. It then calculates the highest high and lowest low over the specified lookback period. The equilibrium is computed as the arithmetic mean of these two extremes, creating a fair value reference point.
The zones are dynamically updated as new price data becomes available, ensuring the visualization remains relevant to current market conditions.
Key Features
Dynamic Zone Detection
Automatically adjusts zones based on recent price action
Uses customizable lookback period for flexibility across different timeframes
Employs pivot strength parameter to filter out minor price fluctuations
Visual Clarity
Color-coded zones for easy identification (red for premium, green for discount)
Optional equilibrium line display
Adjustable zone label placement
Customizable color schemes to match your charting preferences
Alert Capabilities
Alerts when price enters the premium zone
Alerts when price enters the discount zone
Alerts when price returns to equilibrium
Helps traders monitor key zone interactions without constant chart watching
Customization Options
Adjustable lookback period (5-500 bars)
Configurable pivot strength for swing detection (1-20 bars)
Control over box extension into the future
Toggle labels and equilibrium line on/off
Full color customization for all visual elements
How to Use This Indicator
Setup
Add the indicator to your chart
Adjust the lookback period to match your trading timeframe (shorter for intraday, longer for swing trading)
Set pivot strength to filter out noise (higher values for major swings, lower for more frequent updates)
Customize colors and labels to your preference
Interpretation
Premium Zone: Price trading here may indicate potential resistance or selling opportunities when aligned with other technical factors
Discount Zone: Price trading here may indicate potential support or buying opportunities when aligned with other technical factors
Equilibrium: Acts as a fair value reference point where price often consolidates or reacts
Trading Applications
This tool works well when combined with other forms of analysis such as:
Trend identification indicators
Volume analysis
Support and resistance levels
Price action patterns
Market structure analysis
Important Considerations
This indicator identifies zones based purely on historical price data
Premium and discount zones are relative to the recent lookback period
The effectiveness varies across different market conditions and timeframes
Should be used as part of a comprehensive trading strategy, not in isolation
Past price structure does not guarantee future price behavior
Technical Details
Calculation Method
Uses Pine Script's ta.pivothigh() and ta.pivotlow() functions for swing detection
Employs ta.highest() and ta.lowest() for range calculation
Updates dynamically with each new bar
Draws zones using box objects for clear visual representation
Performance Optimization
Efficiently manages box and line objects to minimize resource usage
Uses conditional plotting to reduce unnecessary calculations
Limited to essential visual elements for chart clarity
Timeframe Compatibility
This indicator works on all timeframes but the recommended settings vary:
1-5 minute charts: Lookback period 10-20, Pivot strength 3-5
15-60 minute charts: Lookback period 20-50, Pivot strength 5-10
Daily charts: Lookback period 50-100, Pivot strength 10-15
Weekly charts: Lookback period 20-50, Pivot strength 5-10
Adjust these values based on the volatility of your specific instrument.
Limitations and Considerations
What This Indicator Does NOT Do
Does not provide buy or sell signals on its own
Does not predict future price movements
Does not account for fundamental factors or market events
Does not guarantee profitability or accuracy
Market Condition Awareness
In strong trending markets, price may remain in premium or discount zones for extended periods
During ranging conditions, price typically oscillates between zones more predictably
High volatility can cause frequent zone recalculations
Low volatility may result in narrow zones with limited practical use
Risk Considerations
Premium and discount are relative concepts, not absolute values
What appears as a discount zone may continue lower in a downtrend
What appears as a premium zone may continue higher in an uptrend
Always use proper risk management and position sizing
Consider multiple timeframe analysis for context
Version Information
This indicator is written in Pine Script v6, ensuring compatibility with the latest TradingView features and optimal performance.
Final Notes
This tool is designed to enhance your market analysis by providing a clear visual representation of premium and discount price zones. It should be used as one component of a well-rounded trading approach that includes proper risk management, multiple forms of analysis, and realistic expectations about market behavior.
The concept of premium and discount zones is rooted in auction market theory and the idea that price oscillates around fair value. However, traders should understand that these zones are interpretive tools based on historical data and do not constitute trading advice or predictions about future price action.
Remember to backtest any strategy using this indicator on historical data before applying it to live trading, and always trade responsibly within your risk tolerance.
Disclaimer: The information provided by this indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other sort of advice. Always conduct your own research and consult with qualified financial professionals before making trading decisions.
Smart High low Pivot Points
## Description
The **Pivot High Low Indicator** is a powerful technical analysis tool designed to automatically identify and highlight significant pivot points in price action. This indicator marks crucial reversal zones where price has formed local peaks (pivot highs) and troughs (pivot lows), helping traders spot potential support/resistance levels and trend reversal points.
The indicator features intelligent price formatting that adapts to any market - from crypto tokens to large-cap stocks - displaying values in readable formats (M/B/T notation for large numbers, precise decimals for small values).
---
## Key Features
### 🎯 **Dual Pivot Detection System**
- **Pivot Highs**: Automatically identifies local price peaks where price is higher than surrounding bars
- **Pivot Lows**: Detects local price bottoms where price is lower than surrounding bars
- Independent left/right length settings for each pivot type
### 🎨 **Fully Customizable Appearance**
- Separate color controls for pivot high and low labels
- Custom text colors for optimal visibility
- Distinct label background colors (default: green for highs, red for lows)
- Clean, non-intrusive chart overlay
### ⚙️ **Flexible Configuration**
- Adjustable left/right bar lengths for sensitivity control
- Independent settings for highs and lows
- Real-time adaptation to market conditions
---
## Benefits
✅ **Identify Key Support & Resistance Levels** - Pivot points often act as important price levels where reversals occur
✅ **Spot Trend Reversals Early** - Recognize when momentum shifts from bullish to bearish or vice versa
✅ **Enhanced Market Structure Analysis** - Understand swing highs and lows for better trade timing
✅ **Works Across All Markets** - Optimized for stocks, forex, crypto, commodities, and indices
✅ **Clean Visual Presentation** - Labeled price points directly on chart without clutter
✅ **Universal Price Display** - Automatically formats prices for readability regardless of asset value
## Settings Available
### **LENGTH LEFT / RIGHT**
| Setting | Default | Min | Description |
|---------|---------|-----|-------------|
| **Pivot High - Left** | 15 | 1 | Number of bars to the left that must be lower than the pivot high |
| **Pivot High - Right** | 15 | 1 | Number of bars to the right that must be lower than the pivot high |
| **Pivot Low - Left** | 7 | 1 | Number of bars to the left that must be higher than the pivot low |
| **Pivot Low - Right** | 7 | 1 | Number of bars to the right that must be higher than the pivot low |
**💡 Tip**: Higher values = fewer, more significant pivots. Lower values = more frequent, minor pivots.
### **TEXT COLOR / LABEL COLOR**
| Setting | Default | Description |
|---------|---------|-------------|
| **Pivot High - Text Color** | White | Color of the price text on pivot high labels |
| **Pivot High - Label Color** | Green (#005703) | Background color of pivot high labels |
| **Pivot Low - Text Color** | White | Color of the price text on pivot low labels |
| **Pivot Low - Label Color** | Red (#7b0000) | Background color of pivot low labels |
## Use Cases
- 📈 **Swing Trading**: Identify swing high/low entry and exit points
- 🎯 **Support/Resistance**: Mark key levels for limit orders
- 📊 **Market Structure**: Analyze higher highs/higher lows or lower highs/lower lows
- ⚡ **Breakout Trading**: Spot when price breaks above pivot highs or below pivot lows
- 🔄 **Reversal Trading**: Enter trades at confirmed pivot points
able FRVP Reversal# able FRVP Reversal - Complete User Guide
## 📌 Overview
**able FRVP Reversal** is a professional-grade Volume Profile indicator with an integrated reversal detection system. It combines Fixed Range Volume Profile (FRVP) analysis with a confluence-based reversal scoring system to identify high-probability turning points at key volume levels.
---
## ✨ Key Features
| Feature | Description |
|---------|-------------|
| **Session-Based Volume Profile** | Automatically resets at the beginning of each regular trading session |
| **POC (Point of Control)** | Highest volume price level - strongest support/resistance |
| **VAH (Value Area High)** | Upper boundary of the 70% value area - resistance zone |
| **VAL (Value Area Low)** | Lower boundary of the 70% value area - support zone |
| **Confluence Scoring System** | 5-point scoring system for reversal detection |
| **Smart Cooldown** | Prevents signal spam with customizable cooldown period |
| **Real-time Info Table** | Displays all key metrics in a retro-style dashboard |
---
## 🔧 Installation
1. Open TradingView and go to **Pine Editor**
2. Delete any existing code and paste the indicator code
3. Click **"Add to Chart"**
4. Configure settings as needed
---
## ⚙️ Settings Explained
### 📊 Volume Profile Settings
| Setting | Default | Description |
|---------|---------|-------------|
| **Number of Rows** | 50 | Resolution of the volume profile (more rows = finer detail) |
| **Value Area %** | 70 | Percentage of volume to include in Value Area (industry standard: 70%) |
| **Profile Width** | 40 | Visual width of the histogram on chart |
| **Show Histogram** | ✓ | Display volume histogram bars |
| **Show POC/VAH/VAL** | ✓ | Display the three key levels |
| **Show Labels** | ✓ | Display price labels for each level |
| **Extend Lines** | ✓ | Extend levels to the right of current price |
| **Extend Length** | 100 | How far to extend the lines (in bars) |
### 🔄 Reversal Detection Settings
| Setting | Default | Description |
|---------|---------|-------------|
| **Enable Reversal Detection** | ✓ | Turn reversal signals on/off |
| **Min Confluence Score** | 3 | Minimum score required to trigger signal (1-5) |
| **Cooldown Bars** | 10 | Minimum bars between signals to prevent spam |
#### Understanding Min Confluence Score:
- **Score 1-2**: Very sensitive, many signals (not recommended)
- **Score 3**: Balanced - good for most traders ⭐ Recommended
- **Score 4**: Conservative - fewer but higher quality signals
- **Score 5**: Very strict - only strongest reversals
### 🎨 Color Settings
All colors are fully customizable:
- **POC Line**: Default Gold (#FFD700)
- **VAH Line**: Default Coral Red (#FF6B6B)
- **VAL Line**: Default Teal (#4ECDC4)
- **Bullish Reversal**: Default Green (#00E676)
- **Bearish Reversal**: Default Red (#FF5252)
---
## 📖 How to Read the Indicator
### Volume Profile Histogram
```
█████████████ ← High volume = Strong S/R
████████ ← Medium volume
████ ← Low volume = Weak S/R
██
```
- **Darker/Longer bars** = More trading activity at that price
- **Inside Value Area** = Colored based on session direction (Bull/Bear)
- **Outside Value Area** = Muted gray color
### Key Levels
| Level | Color | Meaning |
|-------|-------|---------|
| **POC** | Yellow | Price with highest volume - Strongest magnet |
| **VAH** | Red | Upper resistance - Look for bearish reversals |
| **VAL** | Teal | Lower support - Look for bullish reversals |
---
## 🔄 Reversal Detection System
### How the Scoring System Works
The indicator uses a **5-point confluence scoring system**. Each condition adds 1 point:
#### 🟢 Bullish Reversal Score (at VAL)
| Condition | Points | Description |
|-----------|--------|-------------|
| Price at VAL Zone | +1 | Price is within VAL ± 0.2 ATR |
| Bullish Candle | +1 | Close > Open (green candle) |
| RSI Oversold | +1 | RSI < 35 |
| Rejection Wick | +1 | Lower wick > 1.5× body size |
| Failed Breakdown | +1 | Touched below VAL but closed above |
#### 🔴 Bearish Reversal Score (at VAH)
| Condition | Points | Description |
|-----------|--------|-------------|
| Price at VAH Zone | +1 | Price is within VAH ± 0.2 ATR |
| Bearish Candle | +1 | Close < Open (red candle) |
| RSI Overbought | +1 | RSI > 65 |
| Rejection Wick | +1 | Upper wick > 1.5× body size |
| Failed Breakout | +1 | Touched above VAH but closed below |
### Signal Quality Ratings
| Score | Rating | Meaning |
|-------|--------|---------|
| 5/5 | ★★★ | Excellent - Highest probability |
| 4/5 | ★★ | Good - High probability |
| 3/5 | ★ | Acceptable - Moderate probability |
| <3 | - | No signal triggered |
---
## 📋 Info Table Explained
```
╔═ able-REV ═╗ 15 ████████ SCR
─────────────────────────────────────
ZONE UPPER VA ▒▒▓▓████ ▲
POC 4272.680 ██████·· ▲
VAH 4322.745 ████···· ·
VAL 4264.977 ██████·· ·
═ SCORE ═════════════════════════════
BULL 0/5 ········ ·
BEAR 1/5 ░······· ·
RSI 49 ▒▒▓▓···· ·
◄SIGNAL► WAIT ········ ·
```
| Row | Description |
|-----|-------------|
| **ZONE** | Current price position relative to Value Area |
| **POC/VAH/VAL** | Price levels with distance indicators |
| **BULL Score** | Current bullish confluence score |
| **BEAR Score** | Current bearish confluence score |
| **RSI** | RSI value with OB/OS status |
| **SIGNAL** | Current signal status (BUY/SELL/WAIT) |
### Zone Types
| Zone | Meaning | Bias |
|------|---------|------|
| ABOVE VAH | Price broke above resistance | Bullish (but watch for rejection) |
| ⚠ AT VAH | Price testing resistance | Watch for bearish reversal |
| UPPER VA | Price in upper value area | Slight bullish bias |
| LOWER VA | Price in lower value area | Slight bearish bias |
| ⚠ AT VAL | Price testing support | Watch for bullish reversal |
| BELOW VAL | Price broke below support | Bearish (but watch for rejection) |
---
## 📈 Trading Strategies
### Strategy 1: VAH Rejection (Bearish Reversal)
**Setup:**
1. Price approaches or touches VAH (red dashed line)
2. BEAR score reaches 3+ (or your minimum setting)
3. REV signal appears above the candle
**Entry:**
- Enter SHORT on signal candle close
- Or wait for confirmation candle
**Stop Loss:**
- Above the signal candle high
- Or above VAH + 0.5 ATR
**Take Profit:**
- First target: POC (yellow line)
- Second target: VAL (teal line)
---
### Strategy 2: VAL Bounce (Bullish Reversal)
**Setup:**
1. Price approaches or touches VAL (teal dashed line)
2. BULL score reaches 3+ (or your minimum setting)
3. REV signal appears below the candle
**Entry:**
- Enter LONG on signal candle close
- Or wait for confirmation candle
**Stop Loss:**
- Below the signal candle low
- Or below VAL - 0.5 ATR
**Take Profit:**
- First target: POC (yellow line)
- Second target: VAH (red line)
---
### Strategy 3: POC Bounce
**Setup:**
1. Price pulls back to POC after trending
2. POC acts as support/resistance
3. Watch for reversal candle patterns
**Entry:**
- Long if bullish candle at POC from below
- Short if bearish candle at POC from above
**Stop Loss:**
- Other side of POC ± buffer
---
## ⚠️ Important Notes
### When Signals Work Best
✅ **High Probability Setups:**
- Score 4-5 with clear rejection wick
- RSI confirms (oversold for long, overbought for short)
- First test of VAH/VAL in the session
- Clear trend before reversal
❌ **Low Probability Setups:**
- Score barely meeting minimum (3/5)
- Multiple tests of same level (level weakening)
- Low volume/choppy market
- News events pending
### Risk Management Rules
1. **Never risk more than 1-2% per trade**
2. **Always use stop loss** - place beyond the level
3. **Wait for candle close** - don't enter on wick touches
4. **Respect the cooldown** - avoid overtrading
5. **Consider the trend** - counter-trend reversals are riskier
---
## 🔔 Alerts
The indicator includes built-in alerts:
| Alert | Trigger |
|-------|---------|
| VAL Bullish Reversal | BULL score meets minimum at VAL |
| VAH Bearish Reversal | BEAR score meets minimum at VAH |
### Setting Up Alerts:
1. Right-click on the chart
2. Select "Add Alert"
3. Choose "able FRVP Reversal" as condition
4. Select desired alert type
5. Configure notification method
---
## 💡 Pro Tips
1. **Combine with trend analysis** - Reversals in trend direction are more reliable
2. **Watch for confluence with other S/R** - If VAH/VAL aligns with round numbers, previous highs/lows, or fib levels, the level is stronger
3. **Volume confirmation** - Higher volume on reversal candle = stronger signal
4. **Time of day matters** - Reversals during active trading hours are more reliable
5. **Adjust sensitivity by market** - Volatile assets may need higher Min Confluence Score
6. **Use multiple timeframes** - Check if reversal level aligns with higher timeframe levels
---
## 🔧 Recommended Settings by Trading Style
| Style | Min Confluence | Cooldown | Best For |
|-------|----------------|----------|----------|
| Scalping | 3 | 5-7 | Quick trades, more signals |
| Day Trading | 3-4 | 10-15 | Balanced approach |
| Swing Trading | 4-5 | 20+ | Fewer, higher quality signals |
---
## ❓ Troubleshooting
| Issue | Solution |
|-------|----------|
| No signals appearing | Lower Min Confluence Score or check if market is ranging |
| Too many signals | Increase Min Confluence Score or Cooldown Bars |
| Levels not showing | Enable Show POC/VAH/VAL in settings |
| Histogram too wide/narrow | Adjust Profile Width setting |
---
## 📞 Support
For questions, suggestions, or bug reports, please contact the developer.
---
**Version:** 1.0
**Last Updated:** 2024
**Platform:** TradingView (Pine Script v6)
EMA Cross + 12 Indicator Dashboard (Candle Filter)🚀 Ultimate EMA Trend Intelligence + 12-Factor Dashboard
Stop trading blind crossovers. Most moving average strategies fail because they lack context. This script solves that by fusing a robust 6-EMA Trend System with a powerhouse “Consensus Engine” that tracks 12 leading indicators simultaneously.
Unlike standard indicators that repaint or react too fast, this tool utilizes a strict “2-Candle Confirmation Protocol” to filter out market noise and bull/bear traps.
🔥 Why This Indicator Give You an Edge:
🛡️ The “Fakeout Shield” (2-Candle Filter): Every signal is double-checked against the previous bar’s momentum. If the trend isn’t sustained, the signal doesn’t fire. No more getting trapped by wicks.
📊 Institutional-Grade Dashboard: Get a real-time HUD (Heads-Up Display) directly on your chart. Instantly see the bias of RSI, MACD, ADX, Bollinger Bands, Volume, and more without cluttering your screen with oscillating lines.
🎯 High-Probability Confluence: A Buy/Sell signal is ONLY generated when the EMAs cross AND a “Council of 12” indicators agrees on the direction (fully adjustable consensus threshold).
🧠 Smart Volume Integration: Volume must exceed 1.5x the average to validate a move, ensuring you’re trading with the smart money, not against it.
🛠️ Key Features:
6-EMA Ribbon Logic: Covers short-term (9/26) to long-term (60/85/200) trends.
Zero-Repaint Signals: Once a candle closes and the label appears, it stays.
Fully Customizable: Adjust the strictness (e.g., require 8 out of 12 indicators to agree) to fit your trading style—from Scalping to Swing Trading.
Ready to trade with clarity? Add this to your chart and let the consensus guide you.
Multi-Timeframe CPR Pattern AnalyzerMulti-Timeframe CPR + Advanced Pattern Analyzer
A powerful, all-in-one indicator designed for professional price-action traders who use CPR (Central Pivot Range) as the core of their intraday, positional, and swing-trading strategies.
This script automatically plots Daily, Weekly, and Monthly CPR, identifies major CPR patterns, highlights Developing / Next CPR, and displays everything neatly in an interactive dashboard.
✨ Key Features
1️⃣ Daily, Weekly & Monthly CPR
Fully configurable CPR for all three timeframes
Clean plots with no vertical connector lines
Automatic zone shading
Adjustable line width, transparency, and colors
2️⃣ Support & Resistance (S1–S3, R1–R3)
Choose which timeframe’s S/R you want
Only plotted for the current day/week/month (no cluttering past charts)
Helps traders identify reaction zones and breakout levels
3️⃣ Next / Developing CPR
A unique feature rarely found in CPR indicators.
You can display:
Developing Daily CPR
Developing Weekly CPR
Next Monthly CPR (after month close)
All next/developing CPRs are plotted in a dashed style with optional transparency, plus labels:
“Developing Daily CPR”
“Developing Weekly CPR”
“Next Weekly CPR”
“Next Monthly CPR”
This allows you to anticipate the next session’s CPR in advance, a major edge for intraday, swing, and options traders.
4️⃣ Advanced CPR Pattern Detection
The script automatically detects all important CPR market structures:
📌 Narrow CPR
Uses statistical percentiles based on historical CPR width
Helps identify potential high-volatility breakout days
📌 CPR Width Contraction
Detects compression zones
Excellent for identifying trending days after tight ranges
📌 Ascending / Descending CPR
Bullish trend continuation (Ascending)
Bearish trend continuation (Descending)
📌 Virgin CPR
Highlights untouched CPR zones
Strong support/resistance zones for future days/weeks
📌 Overshoots
Detects:
Bullish Overshoot
Bearish Overshoot
Useful for understanding trend exhaustion.
📌 Breakouts
Identifies when price breaks above TC or below BC, signaling trend shifts.
📌 Rejections
Shows wick-based CPR rejections — reversal cues used by many price-action traders.
5️⃣ CPR Pattern Dashboard
A beautifully formatted dynamic table showing:
For Daily, Weekly, Monthly:
TC, Pivot, BC values
Current CPR Pattern
CPR Width with %
+ Next/Developing CPR values and patterns (for Daily/Weekly)
No need to manually calculate anything — everything is displayed in a clean, compact panel.
6️⃣ Completely Dynamic Across Timeframes
Works on all intraday, daily, weekly, and monthly charts
Automatically adjusts CPR length based on chart timeframe
Perfect for NIFTY, BANKNIFTY, FINNIFTY, stocks, crypto, forex
7️⃣ Alerts Included
Receive alerts for:
Narrow CPR formation
Virgin CPR
CPR breakouts
Pattern transitions
Great for traders who want automated monitoring.
8️⃣ Clean Chart, No Clutter
The script includes:
No vertical connecting lines
S/R only on the current period
Smart hiding of CPR on boundaries (to avoid "jump lines")
Fully toggleable features
You get a professional-grade, clutter-free CPR experience.
🎯 Why This Indicator?
This script goes beyond standard CPR tools by offering:
Next AND Developing CPR
Multi-timeframe CPR analysis
Professional CPR pattern detection
Smart dashboard visualization
Perfect setup for trend traders, reversal traders, and breakout traders
Whether you're scalping, day trading, swing trading, or doing positional analysis — this tool gives you context, structure, and precision.
📌 Recommended Use Cases
Intraday index trading (NIFTY, BANKNIFTY, NIFTY 50 Stocks)
Swing trading stocks
Crypto CPR analysis
Options directional setups
CPR-based breakout and reversal strategies
Trend continuation identification
Understanding volatility days (Narrow CPR Days)
⚠️ Disclaimer
This is a technical tool for chart analysis and does not guarantee profits. Always combine CPR analysis with price action, volume, and risk management.
Take Profit XTake Profit X
Take Profit X solves the #1 problem in trading: knowing when to exit. Instead of guessing or using single indicators, it aggregates 8 technical signals to identify high-probability exit points through multi-confirmation consensus. This eliminates premature exits and emotional decision-making.
The indicator counts confirmations from your chosen technical tools:
Green dot = Multiple signals say "take profit on longs/exit shorts"
Red dot = Multiple signals say "take profit on shorts/exit longs"
Signals appear when you reach the minimum confirmations threshold you set.
Possible Settings:
Conservative (Swing Trading)
pine
Minimum Confirmations: 4
Use: RSI, MACD, CCI, Supertrend, Price Action
Disable: Stochastic, Bollinger Bands, EMA Cross
Look Back Bars: 10
Aggressive (Day Trading)
pine
Minimum Confirmations: 2
Use: All indicators ON
Look Back Bars: 3-5
RSI OB/OS: 75/25
Balanced (Most Markets)
pine
Minimum Confirmations: 3
Use: RSI, MACD, CCI, Supertrend
Price Action: ON
Look Back Bars: 5-7
