Intraday Mean Reversion MainThe Intraday Mean Reversion Indicator works well on certain stocks. It should be used for day trading stocks but need to be applied on the Day to Day timeframe.
The logic behind the indicator is that stocks that opens substantially lower than yesterdays close, very often bounces back during the day and closes higher than the open price, thus the name Intraday Mean reversal. The stock so to speak, reverses to the mean.
The indicator has 7 levels to choose from:
0.5 * standard deviation
0.6 * standard deviation
0.7 * standard deviation
0.8 * standard deviation
0.9 * standard deviation
1.0 * standard deviation
1.1 * standard deviation
The script can easily be modified to test other levels as well, but according to my experience these levels work the best.
The info box shows the performance of one of these levels, chosen by the user.
Every Yellow bar in the graph shows a buy signal. That is: The stocks open is substantially lower (0.5 - 1.1 standard deviations) than yesterdays close. This means we have a buy signal.
The Multiplier shows which multiplier is chosen, the sum shows the profit following the strategy if ONE stock is bought on every buy signal. The Ratio shows the ratio between winning and losing trades if we followed the strategy historically.
We want to find stocks that have a high ratio and a positive sum. That is More Ups than downs. A ratio over 0.5 is good, but of course we want a margin of safety so, 0.75 is a better choice but harder to find.
If we find a stock that meets our criteria then the strategy will be to buy as early as possible on the open, and sell as close as possible on the close!
Meanreversion
[TT] Sectors Dist % From MA- The script shows the distance in percentages from the 200 MA (or any other MA period) , for the 11 SP500 sectors.
- It works based on the current time frames.
Could be useful when working with mean reversion strategies to detect extremes zones and overbought/oversold conditions in the given sectors compared others.
BBPullback1.0.2This is a simple strategy script based on Bollinger Bands pullbacks.
The strategy is simple, as follows:
For LONGS: At the close of any candle, it check to see if this candle is an UP candle where the low broke below the lower Bollinger Band. If so, we call this the trigger candle. For the next bar, we issue a BUY signal if the price breaks above the high of the trigger candle. The stoploss is the low of the trigger candle. We take profit when the price goes above the middle Bollinger Band (the mean/average line).
For SHORTS: At the close of any candle, it check to see if this candle is an DOWN candle where the high broke above the upper Bollinger Band. If so, we call this the trigger candle. For the next bar, we issue a SELL signal if the price breaks below the low of the trigger candle. The stoploss is the high of the trigger candle. We take profit when the price goes below the middle Bollinger Band (the mean/average line).
Supertrend Mean Reversion Index [HODLER]This indicator was created primarily as an experiment. While the supertrend can be powerful, in many cases, the trend has already started before the time it's identified, resulting in a price decrease. After conducting my own research, I discovered that the reversal point is often more nearby during the downtrend, rather than at the beginning of the uptrend. Surprisingly, this point is always based on the average percentage below or above the supertrend. The indicator calculates these averages, usually starting below the uptrend point, and in most cases, the trend continues upward from there.
This indicator can be very useful for checking corrections. For example, setting the percentages manually to around 50-60% on BTC 1d, I am impressed by how accurate the indication is. Although there might be other more professional ways to calculate this, I still find it amusing that we can use this indicator to make these calculations as well.
To use the indicator, you will need to set the ATR length and ATR factor, which are self-explanatory. The next settings are the ATR lookback and Percentages Stored. The ATR lookback is the ladder price from which the calculation begins, and Percentages Stored is the maximum number of the highest and lowest percentages from previous data points that are stored to calculate the average percentage.
The supertrend percentage settings can be manually set to adjust your percentage up or down, but if left at 0, it will be calculated automatically based on the above-mentioned settings. You can also set an offset to slightly deviate above or below the average to yield better results. The last supertrend setting is the minimum number of bars that must be considered before checking whether the value is above or below the average.
To filter out some noise, I have added Relative Strength Index (RSI). The values above and below are determined by whether the RSI moving average is above or below certain thresholds.
Please note that this indicator was created for my own research. While it can be very accurate with the right settings, you should always use it in combination with other technical analyses to validate your entry and exit points. If you have any suggestions to improve the indicator, please let me know in the comments. I would really appreciate it!
Quantitative Price Forecasting - The Quant ScienceThis script is a quantitative price forecasting indicator that forecasts price changes for a given asset.
The model aims to forecast future prices by analyzing past data within a selected time period. Mathematical probability is used to calculate whether starting from time X can lead to reaching prices Y1 and Y2. In this context, X represents the current selected time period, Y1 represents the selected percentage decrease, and Y2 represents the selected percentage increase. The probabilities are estimated using the simple average.
The simple average is displayed on the chart, showing in red the periods where the price is below the average and in green the periods where the price is above the average.
This powerful tool not only provides forecasts of future prices but also calculates the distribution of variations around the average. It then takes this information and creates an estimate of the average price variation around the simple average.
Using a mean-reverting logic, buying and selling opportunities are highlighted.
We recommend turning off the display of bars on your chart for a better experience when using this indicator.
Unlock the full potential of your trading strategy with our powerful indicator. By analyzing past price data, it provides accurate forecasts and calculates the probability of reaching specific price targets. Its mean-reverting logic highlights buying and selling opportunities, while the simple moving average displayed on the chart shows periods where the price is above or below the average. Additionally, it estimates the average variation of price around the simple average, giving you valuable insights into price movements. Don't miss out on this valuable tool that can take your trading to the next level
LNL Keltner CandlesLNL Keltner Candles
This indicator plots mean reversion (reversal) arrows with custom painted candles based on the price touch or close above or below keltner channel limits (upper & lower bands). This study was created primarily for swing trading & higher time frames such as daily and weekly. Lower time frames might result in more false signals.
Mean Reversal Arrows:
1. Reversal Arrow Up - If the price drops below the lower band extremes, reversal up is the trigger for a bullish mean reversion.
2. Reversal Arrow Down - Once the price reach the higher band extremes, reversal down is the trigger for a bearish mean reversion.
The Concept of Mean Reversion:
There are just two types of moves in any market: The market is either expanding from the mean or retracing back to the mean. These reversions & epxansions are happening across all types of markets. The goal of this study is to catch the powerful mean reversion from extremes back to the mean. Once the candles light up green / red, it is time to look for the reversal (purple) arrow which triggers the mean reversion setup. Mean reversion is not about catching the next big swing turn to new highs or lows. It is all about the base hits = the mean. So the target here is always the average price. The idea here is to catch the average market ebbs & flows, not the next home run.
What Do I Mean by Mean?
Mean is usually the average price from the last 20-30 bars. Basically something like a 20 MA or Keltner Channel or Bollinger Band midline are really good visual representators of the mean (average price).
Hope it helps.
Reversal Pivot
Overview
Introducing the Reversal Pivot indicator - a tool for identifying potential reversal points in price. This algorithm takes into account multiple factors, including price action, volume, and pivot points, to give you a clear and accurate picture of where the market is heading to.
How it works
The indicator gets expansions and the highs and lows and uses the conditions along with pivots to determine whether a reversal is possible or not. Then it gets the volume to determine how strong this chance of reversal is.
How to use
The Reversal Pivot indicator alone shouldn't be used to find reversal points but it helps you get a clear insight on where possible reversals could happen for example, you could use it with mean reversion strategies to find the best entries.
Red bars signal a bearish reversal
Green bars signal a bullish reversal
This here is an example of a long entry if you are trading lets say the mean. You can wait for a bullish reversal on the Histogram plot and then enter, a reversal could happen.
This is an example of a short entry if you are also trading the mean.
Other features
This indicator allows you to customize the colors, and the histogram. If you don't like the histogram then you can change its plot style to whatever you would like.
Try the Reversal Pivot indicator today and find more possible reversal points!
Dual Bollinger Band Mean ReversionSimple but solid mean reversion indicator with sl and tp levels. Most of the code is based on the built in bollinger bands script. Designed for scalping 1-5 minute timeframes.
The indicator consists of two sets of bollinger bands.
Price has to close below the lower (fast) bollinger band, above the moving average of the (slower) bollinger band.
If price now closes above the lower (fast) bb, the indicator draws a label at the open of the next candle (which would be a potential entry point). Take profit becomes the upper bollinger band, stop loss the same distance below the open of the candle.
I've built in a simple backtesting function that calculates the potential win/loss-ratio. Loss and profit levels are 1:1. Exit strategy could be improved on.
Adjusting the lengths depending on the asset proves to be a good idea.
The slower bollinger bands can help to identify ranging markets and/or trends following regular bollinger bands theory.
Feel free to comment with any changes that you'd like to be made.
Cuban's Reversion Bands V2Cuban's Reversion Bands V2
Cubans Reversion Bands, are a great indication of price overextension by using specified standard deviations, extended from a moving average basis line, the Volume Weighted Average Trend.
Reversion Bands V2 builds off the original foundation in a big way but utilizes completely new band logic and a more stable basis line, the stability leads to a more consistent band reversion zones.
The basis line is calculated with volatility metrics and long term range determinants.
The band extension points are then weighted on this basis line with the asset's average extensions taken into consideration to fit each asset individually.
Users gain the ability to customize:
EQ Sensitivity
Band Sensitivity
EQ sensitivity will control the reaction time of the basis line e.g. a comparison of the default 1, and below an increase EQ to 100:
1 EQ Sensitivity (Default)
100 EQ Sensitivity
Band Sensitivity will control the distance of deviation from the basis point, this can be used to fine tune the reversion location which could be useful in higher beta environments.
1 Band Sensitivity
100 Band Sensitivity
As a result of overextension we can take this as a means for a potential market shift, for example, in range bound conditions we expect the market to revert at the given reversion zones in the Cuban Reversion Bands V2.
Failure to revert at a band level, and extension above could signify a change in market structure and lead to a trending environment thus giving us the ability to determine a trending environment.
To Do:
alerts
implement additional confluence via other proprietary tools to increase the signal ratio
Mean Reversion DotsMarkets tend to mean revert. This indicator plots a moving average from a higher time frame (type of MA and length selectable by the user). It then calculates standard deviations in two dimensions:
- Standard deviation of move of price away from this moving average
- Standard deviations of number of bars spent in this extended range
The indicator plots a table in the upper right corner with the % of distance of price from the moving average. It then plots 'mean reversion dots' once price has been 1 or more standard deviations away from the moving average for one or more standard deviations number of bars. The dots change color, becoming more intense, the longer the move persists. Optionally, the user can display the standard deviations in movement away from the moving average as channels, and the user can also select which levels of moves they want to see. Opting to see only more extreme moves will result in fewer signals, but signals that are more likely to imminently result in mean reversion back to the moving average.
In my opinion, this indicator is more likely to be useful for indices, futures, commodities, and select larger cap names.
Combinations I have found that work well for SPX are plotting the 30min 21ema on a 5min chart and the daily 21ema on an hourly chart.
In many cases, once mean reversion dots for an extreme enough move (level 1.3 or 2.2 and above) begin to appear, a trade may be initiated from a support/resistance level. A safer way to use these signals is to consider them as a 'heads up' that the move is overextended, and then look for a buy/sell signal from another indicator to initiate a position.
Note: I borrowed the code for the higher timeframe MA from the below indicator. I added the ability to select type of MA.
Market Meanness Index [CC]The Market Meanness Index was created by Johann Christian Lotter and I added some smoothing of my own, so feel free to try it without any smoothing to see the differences. This indicator relies on the mean reversion theory that all prices will eventually revert to the mean over a long period of time. Obviously there is more to the theory but the basic idea is if you plot a sma or other typical moving average, you will see the price moving up or below the long term moving average such as a 200 day sma but usually heads back to the average in the short term. This is a good statistical analysis used for volatility which is where this indicator comes in. Simply put, we calculate volatility based on how often a price is both above the median and above the previous price or vice versa.
A rising Market Meanness Index means that the market is becoming more volatile and that there is a high likelihood of a change in the underlying trend. A falling Market Meanness Index means that the current trend is dying and there is a high likelihood of a trend reversal. Typically I put general buy and sell signals in red or green but in this particular case, this indicator works best as a overall trend filter and you would want to place a trade when this indicator has a peak or valley. Let me know if you find a good overall buy and sell signal system of course.
I know I keep saying that I will get active again and post more indicators but life is very hectic for me. For those who have been following my updates, my twins were finally born a little over a month ago and as you can imagine, they keep me up at all hours of the day so it is hard to create new indicator scripts when I'm getting no sleep lol. I will do my best to start publishing the giant backlog of scripts I have created but in the meantime, please be patient with me. This indicator was a special request so let me know if you have any special requests of your own!
Gedhusek MasterReversionThe MasterReversion Indicator works as a scanner for possible price reversals.
How does it work?:
The main feature of this indicator is finding extreme price deviations from its mean. This is reached by calculating the average price deviation from its mean and then comparing it with the current price deviation. This deviation is expressed as a percentage in relation to the historically highest price deviation --> if the maximum deviation is 200 points and the current deviation is 180 points, than the percentage displayed is going to be 90%.
With knowing how extreme the current deviation is, we can do some good decision making about whether the market is ready to reverse to its mean or not.
The next feature of this indicator is classic SuperTrend indicator. This tool is mainly used for identifying shifts in the market trend and in this case it becomes very useful when catching the actual price reversion.
The key idea:
The main idea behind this tool is that the price can be away from moving average, but cant stay that way forever. Therefore its convenient to know when the reversion part might happen
How to use:
Generally, you would want to wait until the current price reaches certain percentage (you can see a label on the latest bar displaying current percentage deviation). After that happens, wait for a sign of pullback. For that you can use the built-in SuperTrend indicator or any other strategy that you like. Your potential Take Profit should be somewhere around the main moving average (it has a white colour) as you are speculating on mean reversion.
[
Settings:
MA Period = Period of a moving average. Price deviations will be relative to this moving average, so as the value is larger, you will catch more significant price deviations and vice versa
Percentage Trigger = Specifies what percentage do you consider as significant.
ATR Period = Settings for a SuperTrend. Specifies a period of an ATR indicator. I like to use values 22 or 34. As the value is higher, the indicator will be generally less sensitive
ATR Multiplier = Also specifies a sensitivity of SuperTrend. As the value is higher, the SuperTrend is going to be less sensitive and vice versa
I would personally encourage you to experiment with the indicator first, so you can decide which inputs are the best ones for your style of trading.
Which markets and Time Frame:
This indicator works best on Forex and can be used on any TF.
It is possible to use it also on other instruments, but the settings has to be adjusted more.
I11L - Reversal Trading Ideas by Larry ConnorsThis is my own Twist on Larry Connors Simple Tradingideas.
It Combines the RSI, Averaging In and the Lowest Bars in a Single System.
The current Configuration is designed for the Daily Timeframe.
Feel free to play with the Parameters and keep in mind that Larry Intended to buy fear and sell the greed!
The Rules are the following:
---Buy---
Buy, if the lowest Bar of your Configuration has been hit (default is set to 7).
---Average Down--
Buy, if the lowest Bar of your Configuration * Your open trades has been hit AND only if the buyin is atleast 1% cheaper.
---Close---
Close, if the RSI closes above a certain level (default is set to 70).
---TP---
There is no TP
---SL---
There is no SL, so be cautions of your tail Risk!
Regression Fit Bollinger Bands [Spiritualhealer117]This indicator is best suited for mean reversion trading, shorting at the upper band and buying at the lower band, but it can be used in all the same ways as a standard bollinger band.
It differs from a normal bollinger band because it is centered around the linear regression line, as opposed to the moving average line, and uses the linear regression of the standard deviation as opposed to the standard deviation.
This script was an experiment with the new vertical gradient fill feature.
Mega Pendulum IndicatorThe MPI (Mega Pendulum Indicator) is a fusion between the Pendulum Indicator and the Swing Indicator and is used with specific trading rules.
The MPI is a semi-bounded oscillator comprised of two lines. The first bounded line is the Pendulum Indicator which oscillates between 0 and 100 but generally oscillates between 20 and 80. The second semi-bounded line is the Swing Indicator which generally oscillates between -10 and 10.
The conditions for trading the Mega Pendulum Indicator are as follows:
* Buy: Whenever the Pendulum indicator crosses over its signal line (a 5-period moving average) and at the same time, the Swing Indicator must cross over -10 after having been below it.
* Sell: Whenever the Pendulum indicator crosses below its signal line (a 5-period moving average) and at the same time, the Swing Indicator must cross under -10 after having been above it.
Quantitative mean reversion v4The code uses the concept of mean reversion. Mean reversion suggests that price over a period of time reverts back to its statistical mean. In simple terms, it means if a price has drifted apart from the statistical mean, after a certain amount of time, it will revert back to its statistical mean. This drift is measured via z-score. When the z-score value is high, the price is expected to revert. Besides, the higher the time frame you use, the lesser the drift is, so reduce the z-score in the tabs if you use higher time frames, else, vice-versa.
Based on the parameters, the code will provide a trade signal - both long and short, and entry and exit. You can use notifications for alerts. Please use the parameters in the options to find the best combinations for your stocks.
In the properties, you can use your own brokers commission, capital, to see if the strategy is profitable for your ticker in the long run or not. This code has been tested for profits for various assets in both crypto - Bitcoin futures , Ethereum futures -, and stocks - AMD , Apple , MSFT , etc.
This is not get rich quick scheme, and you have to be patient with it for the long run.
If you have any query, please feel free to ask in the comments sections.
If you want some new changes, please feel free to suggest
Currently, I am optimising the maximum time for holding a trade. Till that's completed, use this and please feel free to leave a feedback to make it better
Attrition Scalper v2.0Green/Red Arrowed Buy/Sell signals are just simple buy sell signals based on SuperTrend, VWAP, Bollinger, Linear Regression
Purple Arrowed Buy/Sell Signals happen when the price/candle cross over or under the yellow outer lines (4.236 fib lines) It's extremely rare and hard for price to stay above these lines therefore we can usually and comfortably buy/sell it, a key information here though when price pumps or dumps super fast and hard to the point of crossing these borders, the trend might also be extremely strong and continous so even if the price temporarily goes back inside the borders as the lines expand over time price can continue riding or crossing these lines back again and continue the uptrend/downtrend, therefore crossing these outer borders doesn't necessarilly and always mean a reversal is due.
When analyzing the instrument you're trading the important factors for support/resistance areas are usually the outer lines like i said previously it's super hard for price to be outside these and will almost always get back inside quickly. The Middle thicker green/red line which is Variable Index Dynamic Average should also be a nice pivot line for major support and resistance . All the other lines are also important dynamic support/resistance lines.
Their Importance Order
1- Outer Yellow Line (4.236 Fibs)
2- Thicker Middle Green/Red Line (VIDYA)
3- Thinner Upper/Lower Green/Red Line (VIDYA +3, VIDYA -3)
4- The Rest Of The Lines (Fib Lines)
You can use this indicator in any market condition in any market to determine key support/resistance levels, use it for mean reversion through price expanding to outside of the most outer line therefore being overbought/oversold basically using the purple buy/sell signals or only follow the normal buy/sell signals or use it in confluence with each other. You can also use this indicator in confluence with your own manual technical analysis or other indicators/strategies you are already using and are comfortable with.
A good part is the support/resistance lines from timeframe to timeframe pictures the whole situation quite well, you can use lower timeframe to find your entry/exit positions and higher timeframe to find your key support/resistance points, they all should be somewhat in confluence from timeframe to timeframe anyways. My recommendation would be to look at 1HR, 4HR and 1D charts for swing trading and 5-15 Min for quick scalping/day trading
You should still probably at least take a look to higher timeframes so that you don't get burned when you realize there is a huge resistance line at price XXXXX on the 4 hour chart but you're expecting it to go above it on the 5 minute chart, it can go above it temporarily but we analyze everything on a closing basis so it most likely won't close above it. Again don't take a position or FOMO when price breaks a support/resistance line, we're looking for a CLOSE above/below them and a retest to see if S/R flip happened would even be better.
Sometimes the most outer line won't be the 4.236 (Yellow) lines as when it gets quite volatile the Thinner Upper/Lower Green/Red Lines (VIDYA +3, VIDYA-3) might cross them to be the most outer line, in this case i have observed that the trend is extremely strong this time price almost always doesn't go above or below the VIDYA line but can stay outside of the Yellow 4.236 Fib line for an extended amount of time (price will still get back inside the channel relatively quickly, just not as fast as the normal condition)
With Proper Risk Management and Discipline this indicator can be of great use to you as it's surprisingly successful especially at mean reversion and pointing out the support/resistance lines, they are so much more successful than your average MA/EMA lines.
Mean Reversion Indicator (Index)Hey everyone! Publishing my first script ever. This script explores the concept of mean reversion and how markets typically react to sub cycle highs and lows. I also added in a divergence formula to make it easier to spot probable turning points in market sentiment. If you are interested in the script, do drop me a DM to request for access.
Bollinger BandsThis strategy is inspired from Power of Stock aka Subhasish Panni.
Target is minimum 1:3 when you get this setup right.
Buy when:
1) Low is greater than upper band of BB and next candle breaks high of that candle, SL is Low of previous candle which is has low above upper band.
2) High is lower than lower band of BB and next candle breaks high of that candle, SL is low of previous candle which has high lower than lower band.
Sell when:
1) Low is greater than upper band of BB and next candle breaks low of that candle, SL is high of previous candle which is has low above upper band.
2) High is lower than lower band of BB and next candle breaks high of that candle, SL is high of previous candle which has high lower than lower band.
Disclaimer: this setup will cause many small stoploss hit, you have to accept that loss but you will be profitable because of R:R.
STD-Filtered, N-Pole Gaussian Filter [Loxx]This is a Gaussian Filter with Standard Deviation Filtering that works for orders (poles) higher than the usual 4 poles that was originally available in Ehlers Gaussian Filter formulas. Because of that, it is a sort of generalized Gaussian filter that can calculate arbitrary (order) pole Gaussian Filter and which makes it a sort of a unique indicator. For this implementation, the practical mathematical maximum is 15 poles after which the precision of calculation is useless--the coefficients for levels above 15 poles are so high that the precision loss actually means very little. Despite this maximal precision utility, I've left the upper bound of poles open-ended so you can try poles of order 15 and above yourself. The default is set to 5 poles which is 1 pole greater than the normal maximum of 4 poles.
The purpose of the standard deviation filter is to filter out noise by and by default it will filter 1 standard deviation. Adjust this number and the filter selections (price, both, GMA, none) to reduce the signal noise.
What is Ehlers Gaussian filter?
This filter can be used for smoothing. It rejects high frequencies (fast movements) better than an EMA and has lower lag. published by John F. Ehlers in "Rocket Science For Traders".
A Gaussian filter is one whose transfer response is described by the familiar Gaussian bell-shaped curve. In the case of low-pass filters, only the upper half of the curve describes the filter. The use of gaussian filters is a move toward achieving the dual goal of reducing lag and reducing the lag of high-frequency components relative to the lag of lower-frequency components.
A gaussian filter with...
One Pole: f = alpha*g + (1-alpha)f
Two Poles: f = alpha*2g + 2(1-alpha)f - (1-alpha)2f
Three Poles: f = alpha*3g + 3(1-alpha)f - 3(1-alpha)2f + (1-alpha)3f
Four Poles: f = alpha*4g + 4(1-alpha)f - 6(1-alpha)2f + 4(1-alpha)3f - (1-alpha)4f
and so on...
For an equivalent number of poles the lag of a Gaussian is about half the lag of a Butterworth filters: Lag = N*P / pi^2, where,
N is the number of poles, and
P is the critical period
Special initialization of filter stages ensures proper working in scans with as few bars as possible.
From Ehlers Book: "The first objective of using smoothers is to eliminate or reduce the undesired high-frequency components in the eprice data. Therefore these smoothers are called low-pass filters, and they all work by some form of averaging. Butterworth low-pass filters can do this job, but nothing comes for free. A higher degree of filtering is necessarily accompanied by a larger amount of lag. We have come to see that is a fact of life."
References John F. Ehlers: "Rocket Science For Traders, Digital Signal Processing Applications", Chapter 15: "Infinite Impulse Response Filters"
Included
Loxx's Expanded Source Types
Signals
Alerts
Bar coloring
Related indicators
STD-Filtered, Gaussian Moving Average (GMA)
STD-Filtered, Gaussian-Kernel-Weighted Moving Average
One-Sided Gaussian Filter w/ Channels
Fisher Transform w/ Dynamic Zones
R-sqrd Adapt. Fisher Transform w/ D. Zones & Divs .
+ Dynamic Fibo-Donchian ChannelsThis is my second Donchian Channels indicator (and will probably be my last because how many does one really need). This version is different from my other one in that, well, it's 'dynamic' which simply means that it self adjusts based on the same formula that my Ultimate Moving Average does. What does that mean? It just means that the script takes an average of 8 different length, in this case, highest highs and lowest lows. The user doesn't need to pick a lookback/length/period/what-have-you. The indicator does it all itself. This, I think, makes for a very nice baseline or bias indicator to fit within a system that utilizes something like that. I also think it makes for a more accurate gauge of higher highs and lower lows within a timeframe, because honestly what does it mean to make a lower low over 20 periods or 8 periods or 50 periods? I don't know. What I do know is that traditional Donchian Channels never made much sense to me, but this does.
Additionally, I've kept (I guess that's not 'additionally') the fibonacci retracement levels from my other Donchian Channels indicator. These are calculated off the high and the low of the Donchian Channels themselves. You will see that there are only three retracement levels (.786, .705, .382), one of which is not a fib level, but what some people call the 'OTE,' or 'optimal trade entry.'' If you want more info on the OTE just web search it. So, why no .618 or .236? Reason being that the .618 overlaps the .382, and the .236 is extremely close to the .786. This sounds confusing, but the retracement levels I'm using are derived from the high and low, so it was unnecessary to have all five levels from each. I could have just calculated from the high, or just from the low, and used all the levels, but I chose to just calculate three levels from the high and three from the low because that gives a sort of mirror image balance, and that appeals to me, and the utility of the indicator is the same.
The plot lines are all colored, and I've filled certain zones between them. There is a center zone filled between both .382 levels, an upper and lower zon filled between the .786 and either the high or the low, and a zone between the .705 and .785
If you like the colored zones, but don't like the plots because they cause screen compression, turn off the plots under the "style" tab, or much more simply right click on the price scale and click 'scale price chart only.' Voila! No more screen compression due to a moving average or some other annoyance.
Besides that basis being a nice baseline indicator the various fib bands (or just the high and low bands) make for excellent mean reversion extremes in ranging environments.
There are alerts for candle closes across every line.
Below is an image of the indicator at default settings.
Below is an image of the indicator with the center .382 channel turned off.
Below is an image of the indicator with just the .786/.705 channel showing .
KAIRI RELATIVE INDEXAn old but gold Japanese indicator for Mean Reverting strategies and ideal for Pairs Trading...
The Kairi Relative Index measures the distance between closing prices and a Moving Average in percent value (generally SMA).
Extreme reading in the KRI are considered buy and sell signals.
Extreme readings will vary by asset, with more volatile assets reaching much higher and lower extremes that more sedate assets.
The KRI is not an accurate timing signal, and therefore, should be combined with other forms of analysis to generate trade signals.
You can calculate percent difference between the price and 10 different types of Moving Averages in this version of KAIRI as:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
VWMA: Volume Veighted Moving Average
Personal advice: try using bigger length of Moving Averages like 50-100-200 for pairs and mean reversion strategies
tvbot Trend Following with Mean Reversion algoDefault settings are for the ETHUSDT 5 min Binance Chart regular candles.
Back test Default settings are 10,000 usd to start, Commission 0.075%, capital deployment per position is 10%, slippage value of 1.
This algo uses the EMA to set the trend line . You are also able to turn the trend line into a range instead of just a static line. The algo uses the VWMA to set the base entry parameters. When a candle closes above or below the VWMA it will record that price and then wait for the VWMA to meet the candle close price. When that happens the Base entry condition is met. (it causes the vwma to create a hook like structure. essentially tell you that the momentum has changed directions.)
The algo will always check to see if the trend line has either breached or has been tested and held. If this condition has been met it will then go to the base entry condition to check to see if the momentum has changed.
There is a mean reversion component in this algo as well. When the price has moved away from the mean(set by user) by a certain amount the algo will start to look for a top or bottom. Once that condition has been met it will then use the base entry condition to look for a change in momentum, but the mean reversion base entry condition uses the HMA to check for a change in momentum.
This algo effectively looks like a hamburger. Mean reversion being the tops and bottoms(bun) and the trend following(beef patty)
