[BullShow]BollingerBands_Deviation StrategyHello Everyone.
Are you enjoying this crazy bull market?
I want to Introduce very classic and simple but powerful strategy.
My strategy is using Bollinger Bands. Yes! It's the indicator that everyone knows and uses.
First of all, let's look at how Wikipedia defines the Bollinger Bands.
Bollinger Bands - Wikipedia
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Introduce
Bollinger Bands (/ˈbɒlɪnjdʒər bændz/) are a type of statistical chart characterizing the prices and volatility over time of a financial instrument or commodity, using a formulaic method propounded by John Bollinger in the 1980s.
Purpose
The purpose of Bollinger Bands is to provide a relative definition of high and low prices of a market. By definition, prices are high at the upper band and low at the lower band. This definition can aid in rigorous pattern recognition and is useful in comparing price action to the action of indicators to arrive at systematic trading decisions.
Interpretation
The use of Bollinger Bands varies widely among traders. Some traders buy when price touches the lower Bollinger Band and exit when price touches the moving average in the center of the bands. Other traders buy when price breaks above the upper Bollinger Band or sell when price falls below the lower Bollinger Band. Moreover, the use of Bollinger Bands is not confined to stock traders; options traders, most notably implied volatility traders, often sell options when Bollinger Bands are historically far apart or buy options when the Bollinger Bands are historically close together, in both instances, expecting volatility to revert towards the average historical volatility level for the stock.
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However, the use of the Bollinger Bands described on the website is only very abstract without precise guidelines.
So, by calculating the deviation of the 20-days moving average line, the center line of the Bollinger Bands, I chose a strategy to buy when the deviation starts to widen and sell when the separation starts to narrow again.
As a result, I found a strategy that would give you a decent return.
Due to the nature of the strategy, trades in the box zone are frequent, so the win rate is small, but when the price trend is confirmed, you can get a big profit.
Therefore, you can expect good returns from pair with a clear trend rather than pair that trade frequently in the box zone.
If you are interested in my strategy, Use the link below to obtain access to this indicator or PM me to obtain access
Thank you for your supporting.
안녕하세요 여러분.
이 미친 강세장을 즐기고 있습니까?
매우 고전적이고 단순하지만 강력한 전략을 소개하고 싶습니다.
제 전략은 볼린저 밴드를 사용하는 것입니다. 예! 모두가 알고 사용하는 그 지표입니다.
그러나 웹에서 설명하는 사용 방법은 정확한 지침없이 매우 추상적 일 뿐입니다.
따라서 저는 볼린저 밴드의 중심선 인 20 일 이동 평균선의 편차를 계산하여 편차가 확대되기 시작하면 매수하고 편차가 다시 좁아지기 시작하면 매도하는 전략을 선택했습니다.
결과적으로, 나는 당신에게 적절한 수익을 줄 전략을 찾았습니다.
전략의 특성상 박스 존에서의 거래가 빈번해 승률은 적지 만 가격 추세가 확인되면 큰 수익을 얻을 수 있습니다.
따라서 박스 존에서 자주 거래되는 패어보다는 명확한 추세의 패어에서 좋은 수익을 기대할 수 있습니다.
전략에 관심이 있으시거나 사용을 원하신다면 아래를 참고 해 주시거나 PM을 보내주세요.
감사합니다.
Back Testing
*initial_capital: $10000
*default_qty_value: 100%
*commission_value: 0.1%
*Period: 2017.01.01~
Profit
BTCUSD: 3109%
ETHUSD: 11160%
YFIUSDT: 823.88%
ZILUSDT: 570.84%
BNBUSDT: 937.18%
LINKUSDT: 471.41%
*Due to the nature of the strategy, a pair with a strong trend yields better results.
*전략 특성상 추세가 강한 패어에서 더 좋은 결과를 도출합니다.
*Optimized for a 4 hour time frame and a 12 hour time frame.
*4 시간 시간 프레임과 12 시간 시간 프레임에 최적화되었습니다.
Deviation
Exponential Deviation Bands Width [ChuckBanger]This indicator is a compliment to Exponential Deviation Bands . It is the difference between the upper and the lower bands divided by the middle band. It is an easy way to visualize consolidation before price movements or periods of higher volatility.
How it works
During a period of high volatility, the distance between the two bands will widen and Exponential Deviation Bands width will increase. And the opposite occurs during a period of low volatility, the distance between the two bands will contract and Exponential Deviation Bands width will decrease. Meaning there is a tendency for bands to alternate between expansion and contraction.
When the bands are relatively far apart, that is often is a sign that the current trend is ending. When the distance between the two bands is relatively narrow that often is a sign that the market is about to initiate a bigger move in either direction.
VWAP + Fibo Dev Extensions StrategyBased on my VWAP + Fibo deviations indicator, I tested some strategies to see if the indicator can be profitable; and I got it !
This strategy uses:
H1 timeframe
Weekly VWAP
+1.618 / +2.618 / -1.618 / -2.618 Deviations Extensions to create 2 bands
The value of the deviation
First, the 2 bands are plotted : +1.618/+2.618 painted in red and -1.618/-2.618 painted in lime.
Then, we wait for the deviation value to reach at least 150 (see thumbnail) to avoid littles moves when the gaps between bands are too short.
Entry long position :
first candle must crossunder the -1.618 level and low have to stay over the -2.618
low of the second one must stay in the lime band
enter the third one if the deviation value is over limit (150)
Exit long position :
TP : when a high crossover VWAP
SL : when a low crossunder -2.618
Entry short position :
first candle must crossover the +1.618 level and high have to stay under the +2.618
high of the second one must stay in the red band
enter the third one if the deviation value is over limit (150)
Exit short position :
TP : when a low crossunder VWAP
SL : when a high crossover +2.618
Notes :
this strategy uses pyramiding (5), be careful and calculate your risk management
the comission value is set to 0.08% to include slippages when entering a trade because of market orders
This strategy is not an advice to invest, make your own decisions.
MAD v1 [Intromoto]Hey traders,
This script shows a plotshape on candles, respective of deviation % from the chosen moving average. The further price is from the MA, theoretically, the faster and more reliably price should return to that moving average or close to it.
Users have the following inputs:
- Type of MA to measure the deviations from, i.e EMA, SMA, WMA, VWMA.
- Accompanying moving averages for reference. Fast, med, slowest
- Offset
- AVP resolution
- AVP length
- Use without AVP or other filter
- Use with AVP filter
- Hide/Show High Deviations
- Hide/Show Medium-High Deviations
- Hide/how Smallest High Deviations
- Hide/Show Smallest Low Deviations
- Hide/Show Medium-Low Deviations
- Hide/Show Low Deviations
- Optional size adjustment for low % deviations, used for lower time frames
There are individual plotshapes from deviation percentages in brackets between percentages in both directions of the moving average. i.e 1%-2%, 2%-3%, etc, up to 20% whereby there is a plotshape for all deviations about 20% above the MA and one plotshape for all deviations below -20% below the MA
The plotshapes are color coded from pink and blue . The style menu is setup to show the deviations as they would appear at their respective height above or below the MA. The current filter is a calculation of the average difference between all bars over the length input.
Depending on what time frame you trade within, it may be suggested that these signals are more likely to assist with long exits than short entries, but I have used it for both successfully under certain time frames. Checking off the "Trading Below 3m" box changes the size of the smaller deviations from auto to tiny, which are more visible.
I'll be adding and testing different filters applied to reduce deviation signals that are heavily against the trend or discounting larger time frame momentum. This script, especially the filters I have and will continue to add are experimental. Please use at your own risk.
Thanks for your time!
Please PM me for access.
SSHSH_DevVolatility is a market pulse, like breathing. And it's deviations is being considered as a signal attenuation.
When You want to know how far is the current price of it's mean value, You can use this indicator to determine 3-sigma rule.
The mean line (like moving average) shows if the market is in it's UpTrend state or the DownTrend state.
When it hits it's upper level - so we can say that the Uptrend has ended. The vice versa for the DownTrend.
Use it with the faster tuning when You trade the higher timeframes, and with the slower tuning on a lower timeframes.
{PM me in TradingView to arrange subscription access}
Linear Regression Band BasicLinear Regression Band implements a BB like structure but with the middle line using solely a linear regression as input. In addition unlike bollinger bands , the market price never wicks out of the linear regression band. This is because it gives the absolute possible range taken from the middle line.
Volume Weighted DeviationsVolume !weighted!
deviations.
Important: I don't really know how people generally compute deviations from VWAP/VWMA, but smth tells me generally it's just a Av Dev/St Dev based on mean, not on appropriate basis, like volume weighted mean in our case. This version is mathematically correct, it first calculates weighted mean, than utilizes this weighted in mean in AvDev & StDef functions modified to take into account weights.
Spread by//Every spread & central tendency measure in 1 script with comfortable visualization, including scrips's status line.
Spread measures:
- Standard deviation (for most cases);
- Average deviation (if there are extreme values);
- GstDev - Geometric Standard Deviation (exclusively for Geometric Mean);
- HstDev - Harmonic Deviation (exclusively for Harmonic Mean).
These modified functions will calculate everything right, they will take source, length, AND basis of your choice, unlike the ones from TW.
Central tendency measures:
- Mean (if everything's cool & equal);
- Median (values clustering towards low/high part of the rolling window);
- Trimean (3/more distinguishable clusters of data);
- Midhinhe (2 distinguishable clusters of data);
- Geometric Mean ( |low.. ... ... .. .... ... . . . . . . . . . . . .high| this kinda data); <- Exp law
- Harmonic Mean { |low. . . . . . . . . . . . . . .. . . .high| kinda data). <- Reciprocal law
Listen:
1) Don't hesitate using Standard Deviation with non-mean, like "Midhinge Standard Devition", despite what ol' stats gurus gonna say, it works when it's appropriate;
2) Don't check log space while using Geometric Mean & Geometric Standard Deviation, these 2 implement log stuff by design, I mean unless u wanna make it double xd
3) You can use this script, modify it how you want, ask me questions whatever, just make money using it;
4) Use Midrange & Midpoints in tandem when data follows ~addition law (like this . . . . . . . . . . . . . . . . . . . . .). <- just addition law
Look at the data, choose spread measure first, then choose central tendency measure, not vice versa.
!!!
Ain't gonna place ® sign on standard deviations like one B guy did in 1980s lmao, but if your wanna use Harmonic Deviations in science/write about/cite it/whatever, pls give me a lil credit at least, I've never seen it anywhere and unfortunately had to develop it by myself. it's useful when your data develops by reciprocals law (opposite to exponential).
Peace TW
VAMA Volume Adjusted Moving Average BandsThis indicator is standard deviation bands using a live analysis adaptation of Richard Arms' Volume Adjusted Moving Average as their basis. VAMA utilizes a period length that is based on volume increments rather than time.
• SampleN - N volume bars used as sample to calculate average volume , 0 equals all bars.
• VAMA Source - Price used for volume weighted calculations.
• VAMA Length - Specified number of volume ratio buckets to be reached.
• VAMA VI Fct - Size of volume ratio buckets.
• VAMA Strict - Must meet desired volume requirements, even if number of bars has to exceed VAMA Length to do it.
• STDV Factor - Standard Deviation multiplier.
• STDV Length - Standard Deviation period.
• Brightness - Color opaqueness for the band fills.
Please see previous published example here for more details on VAMA's usage and inability to redraw the past on time based charts.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
BTCUSDT Volume Weighted Average Price & KairiThis indicator calculates VWAP (Volume Weighted Average Price) for major crypto exchanges with BTCUSDT pairs and shows what percentage each exchange deviates from VWAP.
I made a "BTCUSD" version of this in the past, but many people also want to see “BTCUSDT”, so I made this indicator.
When the parameter "Display" is "Basis", this deviation is expressed in%. Therefore, VWAP is always drawn as "0.00%".
VWAP is calculated using the BTCUSDT prices and volumes of the following exchanges.
These exchanges are the ones Binance refers to when indexing.
- Bitfinex
- Binance
- Huobi
- OKEx
- Bittrex
- HitBTC
VWAP of this indicator calculates the volume for each candlestick , so it will be closer to the actual value.
When there is a big movement in the short term, it is easy to be swayed.
If you set the parameter "Display" to "Basis_SMA", it will calculate the simple moving average of the deviation rate, so it will be hard to be swayed.
Set the desired "Length".
If you want to know the actual value of VWAP , set the parameter "Display" to "Price" and the actual BTCUSDT prices will be displayed.
Warning: This indicator also shows BTCUSDTPERP, but these pairs are not included in the VWAP calculation. be careful.
Harmonic MADsNo, it's not a new saturation plugin for your fruity loops.
...
These are Mean Average Deviations calculated from Harmonic Mean.
...
In my previous research I tried to develop "Harmonic Average Deviations", since applying stdevs on Harmonic Mean calculated from reciprocals ain't make sense. Din't work out, prolly cuz by definition stdevs doesn't like negatives. So in the end I ended up using Mean Average Deviations, and turned out it works great. Generally market data doesn't distribute normally, so t's a great tool, now weird kurtosis won't be a problem.
Bollinger Bands T3/SMA/EMAThis is Bollinger Bands script with an option to choose three different moving averages. The simple moving average is the original settings used by Mr Bollinger. Exponential is a popular choice as it adds more value to the recent price movements. T3 is a lot faster at adapting to the recent price. Compared to exponential, it gives even more value to the recent prices and furthermore, it is smoother. I use it to polish my True Range scripts.
Another upgrade is the ability to have a different colour of the channel when the baseline moves up or down.
Back to calculation? Is it better to use T3 with Bollinger? My opinion is that it depends on the trader. Both of them give you slightly different information and it is essential to look at the historical behaviour and answer for yourself. Will I use T3 calculation? Well, I built this script to find out if I want to.
Have a great trade!
Realized Volatility IIR Filters with BandsDISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The following indicator was made for NON LUCRATIVE ACTIVITIES and must remain as is following TradingView's regulations. Use of indicator and their code are published by Invitation Only for work and knowledge sharing. All access granted over it, their use, copy or re-use should mention authorship(s) and origin(s).
WARNING NOTICE!
THE INCLUDED FUNCTION MUST BE CONSIDERED AS TESTING. The models included in the indicator have been taken from open sources on the web and some of them has been modified by the author, problems could occur at diverse data sceneries.
WHAT'S THIS...?
Work derived by previous own research for study:
This is mainly an INFINITE IMPULSE RESPONSE FILTERING INDICATOR , it's purpose is to catch trend given by the nature of lag given by a VOLATILITY ESTIMATION ALGORITHM as it's coefficient. It provides as well an INFINITE IMPULSE RESPONSE DEVIATION FILTER that uses the same coefficients of the main filter to plot deviation bands as an auxiliary tool.
The given Filter based indicator provides my own Multi Volatility-Estimators Function with only 3 models:
ELASTIC VOLUME WEIGHTED VOLATILITY : This is a Modified Daigler & Padungsaksawasdi "Volume Weighted Volatility" as on DOI: 10.1504/IJBAAF.2018.089423 but with Elastic Volume Weighted Moving Average instead of VWAP (intraday) for faster (but inaccurate) calculation. A future version is planned on the way using intra-bar inspection for intraday timeframe as described in original paper.
GARMAN & KLASS / YANG-ZANG EXTENSION : As one of the best range based (OHLC) with open gaps inclusion in a single bar.
PETER MARTIN'S ULCER INDEX : This is a better approach to measure realized volatility than standard deviation of log returns given it's proven convex risk metric for DrawDowns as shown in Chekhlov et al. (2005) . Regarding this particular model, I take a different approach to use it as coefficient feed: Given that the UI only takes in consideration DrawDawns, I code myself the inverse of this to compute Draw-Ups as well and use both of them to filter minimums volatility levels in order to create a SLOW version of the IIR filter, and maximums of both to calculate as FAST variation. This approach can be used as a better proxy instead of any other common moving average given that with NO COMPOUND IN TIME AT ALL (N=1) or only using as long as N=3 bars of compund, the filter can catch a trend easily, making the indicator nearly a NON PARAMETRIC FILTER.
NOTES:
This version DO NOT INCLUDE ALERTS.
This version DO NOT INCLUDE STRATEGY: ALL Feedback welcome.
DERIVED WORK:
Incremental calculation of weighted mean and variance by Tony Finch (fanf2@cam. ac .uk) (dot@dotat.at), 2009.
Volume weighted volatility: empirical evidence for a new realised volatility measure by Chaiyuth Padungsaksawasdi & Robert T. Daigler, 2018.
Basic DSP Tips & Trics by TradingView user @alexgrover
CHEERS!
@XeL_Arjona 2020.
VWAP Pack v1.00This script shows Volume Weighted Average Price (VWAP) from any TF in any TF chart. For example you can set 2 months VWAP in 30 minutes chart and see strong developing levels from higher TF. You can also switch on historical values. Together you can see 5 developing levels (POC, 2 first and 2 second standard deviation levels) and 5 historical levels from previous profile. Next levels you can use are Session open levels, which can be customized in any time you like (London open, NY open, ...) and you will see these periodicly on your chart. You can also fill the area between Point Of Control and Value Areas to see it more clearly. Last setting is High-Low of one session with changing Mean value in the middle.
send PM or visit website to get access
Historical Volatility Percentile + SMAHistorical Volatility Percentile tells you the percentage of the days from the past year (252 trading days) that have lower volatility than the current volatility.
I included a simple moving average as a signal line to show you how volatile the stock is at the moment.
I have included simple colors to let you know when to enter or exit a position.
Buy when price higher than EMA & historical volatility higher than SMA
Sell when price lower than EMA & historical volatility higher than SMA
Please let me know if you would like me to publish any other indicators! I always love to hear from you guys.
BTCUSD Volume Weighted Average Price & KairiThis indicator calculates VWAP(Volume Weighted Average Price) for major crypto exchanges with BTCUSD pairs and shows what percentage each exchange deviates from VWAP.
When the parameter "Display" is the default value "Deviation", this deviation is expressed in%. Therefore, VWAP is always drawn as "0.00".
VWAP is calculated using the BTCUSD prices and volumes of the following exchanges.
These exchanges are the ones BitMEX refers to when indexing (excluding ITBIT).
・ Coinbase
・ Bitstamp
・ Kraken
・ Gemini
・ Bittrex
Therefore, VWAP shows a price close to ".BXBT" of BitMEX.
However, while BitMEX has a fixed weight, VWAP of this indicator calculates the volume for each candlestick, so it will be closer to the actual value.
When there is a big movement in the short term, it is easy to be swayed.
If you set the parameter "Display" to "Deviation_SMA", it will calculate the simple moving average of the deviation rate, so it will be hard to be swayed.
Set the desired "Length".
If you want to know the actual value of VWAP, set the parameter "Display" to "Price" and the actual BTCUSD prices will be displayed.
* Warning: This indicator also shows BitMEX and Bitfinex, but these two exchanges are not included in the VWAP calculation. be careful.
Mean Absolute Deviation BandsThe other way to build bands around price that uses Mean Absolute Deviation instead of Standard Deviation.
MAD is also a measure of variability, but less frequently used. MAD is better for use with distributions other than the Gaussian.
MAD is always less than or equal to Standard Deviation and the resulting bands are more tighter for the same parameters if we compare it to Bollinger Bands.
If you use band stops this can be useful.
KLemurs DeviationMarket: Stocks and ETF's
This overlay shows the deviation of the exponential moving average of the mid candle price of the currently loaded chart, away from the exponential moving average of the S&P and DOW combined and averaged mid candle price. The top and bottom lines also give a visual perspective of what a certain percentage (default 1%) looks like on the current charts window. This may help with making quick decisions for things like setting trailing stop trades with a percentage. This can be used for stocks, ETF's, and index's and It may be useful in finding potential stocks or ETF's if you are interested in these kinds of deviations. Defaults are set for a dark screen but can be edited to your taste. It's optimized to be an overlay on the current chart window as opposed to being a separate window.
Percentage Lines (editable)
This is three lines. The upper line (default green) plots the set percentage (default 1%) above the current chart’s ema. The middle line (default white) plots the current chart’s ema. The lower line (default red) plots the set percentage (default 1%) below the current chart’s ema.
Deviation Band (editable)
This is the colored band on the overlay between the upper and lower percentage lines. The band’s fill color indicates the deviation of the current charts ema from the ema of the combined S&P and DOW’s ema as follows:
- Red (default) = Current Chart’s ema is descending and the S&P/DOW ema is descending OR the Current Chart’s ema is below (underperforming) the S&P/DOW ema.
- Orange (default) = The Current Chart and S&P/DOW ema’s are both either ascending or descending together.
- Green (default) = The Current Chart’s ema is ascending but the S&P/DOW ema is descending.
To Set Line Colors
BY default, the upper line color uses the same colors as the ascending band color and the lower line uses the same color as the descending band color. To set the line colors, see "plotColor", "plotColorUp", or" plotColorDown" in variable settings within the script or use the “Central Plot Line”, “Upper Plot Line, or “Lower Plot Line” in the input dialogue to change this.
To Set Band Colors
To set the band colors, see "plotColor", "plotColorUp", or "plotColorDown" in variable settings within the script or use the “Color0”, “Color1", or “Color2” in the input dialogue to change this.
To Set EMA Lookback Period
The ema lookback period defaults to 5. This is the number of candles back that the script will use to determine the ema. See “CCemaN” in variable settings within the script or use the “EMA Period” in the input dialogue to change this.
To Set Percentage
To set the percentage that plots the upper and lower lines, see "CCP" in variable settings within the script or use “Upper/Lower Bands Percentage” in the input dialogue to change this. The default is .01 (or 1%).
Standard Deviation Measurement ToolIf you like the script please come back and leave me a comment or find me on the interwebs. I get notified you "liked" it... but I have no idea if you actually use it. So, let me know =)
The script uses the open price as the mean and calculates the standard deviation from the open price on a per candle basis
- Goal: -
To establish a mean based on the Open Price and calculate the standard deviation.
The reason for this is if the Open is the mean, then the Standard deviation implies a standardized distance a given candle can be expected to travel
from the open price
- Edge: -
If you know that there is a 68%/95%/99.7% probability that price will NOT move more than
One Standard Deviation/Two Standard Deviations/Three Standard Deviations from the open price respectively
you can set reasonable price targets that relate to those probabilities in a given timeframe.
e.g. if you're on a 1h chart and your target is 3.5% from the open price, but 1 standard deviation of the hourly candle is equal to 0.78%.
You can make assumptions on either:
- The reasonableness of your target
or
- The holding period likely required for the trade.
Also, Standard Deviation is a function of volatility and this tool provides a unique mechanism for measuring volatility as well on a candle by candle basis
- Customization Options-
- Set 3 independent upper and lower standard deviations.
- Each set of standard deviations are on a switch so you can show 1, 2, or 3 sets of standard deviations
- You can set the distribution width
- Though it's not recommended, you can change the mean source.
- There is a switch to show the standard deviation on only the real-time bar or real-time and historical bars.
- How I Think About This Script -
This strategy is predicated the same principle as Bollinger Bands: the reality that 68% of all data points will fall within one standard deviation of the mean, 96% of all data points will fall within two standard deviations, and 98% of al data points will fall within 3 standard deviations. By understanding the standard deviation, you can possibly infer an edge by understanding the probabilistic range price will be bound to the limits of standard deviation rules according to their probabilistic outcomes for the single candle on any given timeframe. Bollinger Bands are designed to provide this information with the mean being a 20-period moving average and this indicator.
This indicator is designed to provide standard deviation information with the mean being based on the distance price travels away from the open of individual candles in the lookback period.
If you use a strategy where you enter on major candle closes, this can be useful to set targets for those entries based on the intended hold period or at least add/remove validity to other target metrics.
Example:
Your target is at the 1.618 Fibonacci level and your confirmation triggers on the 4h candle close (H4 if that's your thing lol). You set up the indicator based on the standard deviation of price movement in 4h candles over the last week.
Let's say the indicator shows that the 1.618 Fibonacci level is 3 standard deviations away.
This being the case this statistically indicates that within the next 4 hours, you have a very low probability of achieving your target (>2%). This doesn't invalidate your target, but it does indicate a low probability of achieving it in the next 4hrs. With this information, you can infer that you are either going to be (a) really lucky (b) in this trade for a lot longer than 4hrs or (c) your target is unrealistic given your intended hold period.
You can develop a more probabilistically favorable hold period calculation by looking at the standard deviation on a higher time frame (e.g. 1d-1w).
Bonus feature: You'll find that the 2 and 3 standard deviations will often "cluster" and these clusters often provide future S/R levels. That's a pretty sweet feature no one things to look for. But, try it. Find a cluster of 2nd and 3rd stdevs that are in somewhat of a horizontal pattern (usually the result of a range) and you'll find that to be a good s/r area. Even better if you use the 3.2 standard deviation, you'll find that is a fantastic breakout signal!
Summary
So, you can use it for target setting, a confluence test, a reasonableness test, or just a measurement tool.
This was the first TV script I ever wrong.. Got taken down. But, I've re-released it because there are other TV scripts that attempt to do this but are completely wrong.
Please be careful about using other people's scripts. Always validate the math of the script before you use it if possible.
Stay safe out there and I hope all your dreams come true.
Mean Deviation IndexThe Mean Deviation Index (MDX) is used to see how much price is deviating from the mean. This indicator takes both volatility and mean deviation in consideration.
It uses the standard deviation of the ATR to filter an EMA, and uses this as the mean. It then only plots > or < 0 if price is more than one x ATR away from the mean. If index is positive, the background turns green, meaning price is more than 1 x ATR above the mean. If the index is negative, the background turns red, meaning price is more than 1 x ATR below the mean. This setting can be changed by changing the setting "ATR Multiplier", but the default is 1 x ATR.
There are two main ways to use this index.
1. Use it aggressively to find trends (by combining it with other indicators) by entereding each time the background changes color to green for longs or red for shorts.
2. Use it spot breakouts, waiting for a pullback, and then entering on the next move in the same direction. In this context for a short, you wait for the background color to turn green, then wait for the index to pull back, and then enter once it starts moving up again.
Exponential Deviation Bands [ChuckBanger]This is Exponential Deviation Bands. It is a price band indicator based on exponential deviation rather than the more traditional standard deviation, as you find in the well-known Bollinger Bands calculation. As compared to standard deviation bands, exponential deviation bands apply more weight to recent data and generate fewer breakouts. There fore it is a much better tool to identifying trends.
One strategy on the daily can be
Buy next bar if closing price crosses below the lower bands
Sell if price is equal to the current value of the upper bands
