Bands

Flagging Bands Introduction A pun between the word flag and the adjective flagging (less dynamic) , this indicator have two bands who react faster when in contact to the price. Imagine you are under sheets, if you abruptly rise, the sheets will instantaneously go up, then if you abruptly get down, the sheets will fall slowly until being in contact with a surface, this is because of a type of friction called drag or air resistance , this force is described in fluid dynamics and i inspired myself from that for the creation of the indicator. The indicator The indicator is made of two bands, one upper band and one lower band, then a weighted average of each bands, this average is weighted depending on which band the price is closer. The length control the period of the indicator, in general higher lengths will create wider bands, you must consider that this parameter behave differently than other ones and may create slower results in comparison with other bands indicators while having the same length period. The indicator can use a simple breakout methodology (see trailing stop part) but can sometime provide support and resistance points, in fact i believe that when the average variability/volatility of band A is higher than the average variability/volatility of band B and that the price cross band B then price will reverse its direction, this claim is not justified, research is needed. Trailing Stop Mod It is possible to make the indicator act as a trailing stop, in order to do so just tick the trailing stop mod box. The average/bands will automatically disappear being replaced by the trailing stop. Conclusion I was just playing around when making the skeleton of the indicator, i hope the code is easy to understand, if you need some kind of explanation just pm me, i'm always open to help people/receive suggestions. Best Regards

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Fibonacci Bollinger Bands VWMA Fibonacci Bollinger Bands VWMA

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Fibonacci Bollinger Bands WMA Fibonacci Bollinger Bands WMA

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Fibonacci Bollinger Bands Ema Fibonacci Bollinger Bands Ema

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Motion To Attraction Channels Introduction Channels are used a lot on technical-analysis, however most of the them rely on adding/subtracting a volatility indicator to a central tendency indicator, sometimes the central tendency indicator can even be replaced by pure price. A great channel who does not rely on this kind of architecture is the Donchian channels or the quartiles bands. Here i propose a channel similar to the one made by Richard Donchian with some additional abilities. The Channels In my indicator, Motion To Attraction mean that the movement of an object a attract an object b , but we can resume this approach by saying that the longer a trend period is, the smaller the distance between each channels, for example if the price create a new highest then the lowest will move toward this new highest, each time coming closer. The philosophy behind this is that the longer a trend is the more probable it is that she will end. The code reflect it this way : here the parameter controlling the channel A (upper) c = change(b) ? nz(c ) + alpha : change(a) ? 0 : nz(c ) this is traduced by : if channel b move then the parameter c become greater, if channel a move then reset the parameter , the parameter d do the same. c is used to move the channel A, when c < 1 A is closer to the highest, when c = 1 A is in a central tendency point, when c > 1 A is closer to the lowest. Slaving the Movement It is possible to have a better control over the channels, this is done by making c and d always equal or lower than 1. Of course it could be another max value selected by the user. In order to do that add c1 and d1 as parameter with c1 = c > 1 ? 1 : c , same with d1 but replace c by d. Its safer to do this but i prefer how the channels act the other way, i will consider implementing this option in the future. Conclusion This channel indicator does not rely on past data thanks to recursion. The alpha variable at the start can also be adaptive, this let you make the channels adaptive even if such idea can add non desired results. Low length values can create effects where the lower channel can be greater than the higher one, this can be fixed directly in the code or using the method highlighted in the Slaving the Movement part.

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McNicholl Moving Average This type of moving average was originally developed by Dennis McNicholl (Futures Magazine, (October, 1998): "Better Bollinger Bands"). A kind of TEMA. He used it as a centerline of the new bands, called Better Bollinger Bands or DEnvelope. The Better Bollinger Bands is a modification of the well-known Bollinger Bands that has a better response for changes in volatility.

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RSI ATR Channel Draws a channel based on ATR (Average True Range) and RSI. Detects band touches and colors the background appropriately.

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Kirshenbaum Bands This indicator was originally developed by Paul Kirshenbaum, a mathematician with a Ph.D. in economics from New York University. It uses the standard error of linear regression lines of the closing price to determine band width. This has the effect of measuring volatility around the current trend, rather than measuring volatility for changes in trend. Good luck!

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Relative Strength Volatility Variable Bands [DW]This is an experimental adaptive trend following study inspired by Giorgos Siligardos's Reverse Engineering RSI and Tushar S. Chande's Variable Moving Average. In this study, reverse engineered RSI levels are calculated and used to generate a volatility index for VMA calculation. First, price levels are calculated for when RSI will equal 70 and 30. The difference between the levels is taken and normalized to create the volatility index. Next, an initial VMA is calculated using the created volatility index. The moving average is an exponential calculation that adjusts the sampling length as volatility changes. Then, upper and lower VMAs are calculated by taking a VMA of prices above and below the initial VMA. The midline is produced by taking the median of the upper and lower VMAs. Lastly, the band levels are calculated by multiplying the distance from the midline to the upper and lower VMAs by 1, 2, 3, 4, and 5. Bar colors are included. They're based on the midline trend and price action relative to the upper and lower VMAs.

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Bollinger Bands MTF [LonesomeTheBlue]With this script you can follow Bollinger Bands for current and higher time frame together. Higher time frame is calculated by script. if current period 1m => higher period=5m 3m => higher period=5m 5m => higher period=15m 15m => higher period=1h 30m => higher period=1h 45m => higher period=1h 1h => higher period=4h 2h => higher period=4h 3h => higher period=4h 4h => higher period=1day 1day => higher period=1week

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by LonesomeTheBlue

Tripple BB_13EMA Here is a script to use 3 types of Bollinger Bands. It is like three resistances or ranges in wich the Chart generally likes to move. A 1, 2 and 3 Width BB. The Chart moves 90% between the yellow one. As support for my study i use the 13 EMA. is the Chart over the 13 EMA and under the Yellow (2) BB the trend is bullish. Is t under the 13 EMA and over the Yellow BB the trend used to be bearish. The opener the BB are the more Volatilaty and the more likely the Chart will not bounce against the Bands. It will more get stick to the yellow or red one (if it is between them it is a trend too) and will follow up or downwards. Check it out

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by Cashflowjaque

Percentage Band Indicator I added alerts in my Percentage Band strategy You can see the strategy and backtest here You can look at my other scripts. www.pulsewire.com

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by ridvansozen1

Trend Trader Bands Strategy This is plots the indicator developed by Andrew Abraham in the Trading the Trend article of TASC September 1998 It was modified, result values wass averages. And draw two bands above and below TT line.

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Percentage Bands A different version of bollinger bands, I use percentage difference instead of standard deviation.

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by ridvansozen1

Trend Trader Bands This is plots the indicator developed by Andrew Abraham in the Trading the Trend article of TASC September 1998 It was modified, result values wass averages. And draw two bands above and below TT line.

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Standard Error Bands with the best settings - this indicator is a better version of the bollinger bands, because it uses a linear regression . Use this carefully and with other indicators.

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ATR Bands ATR Band is to prevent constriction and spread in BB

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by ridvansozen1

Interquartile Range Bands Interquartile Range Bands script. This indicator was originally developed by Alex Orekhov at his home. The idea based on the interquartile range en.wikipedia.org If price breaks out from the bands then it is `outlier` price. After breakouts price always returns to its median. Watch squeeze/expansion periods. Anyway use it as a supplement to the other indicators. I will glad to get your feedback.

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AI1 BB1,BB2, 10/20SMA

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by nonoyeslearns

Candles + Golden Cross + RSI BANDS This script combines three scripts for ease of use RSI Bands LazyBear Golden Cross MichMexTrading Candlestick patterns identified repo32 I combined them because they work exceptionally well together in identifying reversals and other potential changes

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Standard Error Bands See for a description.

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Fixed TF BBands Combined daily and 3D Bollinger Bands into one indicator. It will show the BBands uncoupled from the current candle TF's

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MA Study: Different Types and More [NeoButane]A study of moving averages that utilizes different tricks I've learned to optimize them. Included is Bollinger Bands, Guppy (GMMA) and Super Guppy. The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function. For intraday timeframes, each number represents each hour, with 24 equal to 1 day. For daily, 3 is 3 day, for weekly, 4 is the 4 weekly, etc. If you're on a higher timeframe than the one selected, the length will not change. Log-space is used to make calculations work on many cryptos. The rules for color changing Guppy is changed to make it not as choppy on MAs other than EMA. Note that length does not affect SWMA and VWAP and source does not affect VWAP. A short summary of each moving average can be found here: medium.com List of included MAs: ALMA: Arnaud Legoux Double EMA EMA: Exponential Hull MA KAMA: Kaufman Adaptive Linear Regression Curve LSMA: Least Squares SMA: Simple SMMA/RMA: Smoothed/Running SWMA: Symm. Weighted TMA: Triangular Triple EMA VWMA: Volume Weighted WMA: Weighted ZLEMA: Zero Lag VWAP: Vol Weighted Average Welles Wilder MA

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