Vortex BandsA slighty modified version of Better Bollinger Bands. The idea of the experiment was to do a thing like the well-known Vortex Indicator, but an overlay:
Obvious trading rules are:
go Long when the blue line is above other two
go Short when the orange line is above other two
stop when price crosses the basis line
The tool is EXPERIMENTAL . Good luck!
ค้นหาในสคริปต์สำหรับ "band"
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!
kaitan Bands
Reference: 200 section kaitan Bands
参考：200区間のkaitan Bands
Changing the Bollinger Band's midline from SMA to EMA is not so good in terms of the standard deviation calculation formula, and it was hard to say that EMABB is an index that can be used by the author in different calculation formulas.
This time, when I came up with the deviation, I came up with a method of weighting the latest deviation like EMA instead of the average and neglecting past deviations, so I made it.
The variation in the calculation result seems to be difficult to handle, so the finished product is the one with smoothed EMA deviation.
ボリンジャーバンドの中線をSMAからEMA変更にするのは標準偏差の計算式上いまいちで、EMABBは作者によって計算式もばらばらで使える指標とは言い難かった。
今回、偏差から求めるときに平均ではなくてEMAのように最新の偏差を重くし過去の偏差を軽視する方法を考え付きましたので、作ってみました。
単純に計算結果のばらつきが大きく扱いづらそうなので、EMA偏差をスムージングしたものを完成品としました。
Auto-Dispersion BandsIntroduction
A really old indicator as well, thus i have no much ideas of what is going on with it, but i know that those bands returns good reversals points. The indicator don't use standard deviation, instead its a simple differencing of the price and the price length bars back who will provide a dispersion measurement, thus the name auto-dispersion.
The Indicator
The smooth parameter allow the band to cross the price, if smooth is low the chance of crosses are lower.
smooth = 3
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.tradingview.com
VWMA Keltner BandsKind of like Keltner Channel/Bands (stockcharts.com) but using VWMA instead so that volume is taken in to account.
Outside the upper band can considered to be 'overbought' and outside the lower band can be considered to be 'oversold'
Has option to highlight signals (i.e. when price closes outside a channel) and also the option to only display signals if the price is on the correct side of VWAP (i.e. no sell signals if price is above VWAP)
Fractal Regression Bands [DW]This study is an experimental regression curve built around fractal and ATR calculations.
First, Williams Fractals are calculated, and used as anchoring points.
Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period.
The median between the positive and negative sloping lines is then calculated, then the best fit line (linear regression) of the median is calculated to generate the basis line.
Lastly, a Golden Mean ATR is taken of price over the sampling period and multiplied by 1/2, 1, 2, and 3. The results are added and subtracted from the basis line to generate the bands.
Williams Fractals are included in the plots. The color scheme indicated whether each fractal is engulfing or non-engulfing.
Custom bar color scheme is included.
Directional Movement Bands [DW]This is a simple experimental study designed to outline trend activity and volatility.
In this study, the amount of change between current source and source of a specified lookback is calculated, then added to and subtracted from current source.
Next an exponential moving average is taken of the values for smoothing over the specified period.
Lastly, a midline is generated by taking the median of both bands.
ELASTIC WEIGHTED MOVING AVG with STDDEV BANDSImported from Stock & Commodities February 2017 month’s Traders’ Tips issue , from Vitali Apirine’s article in this issue, “Exponential Standard Deviation Bands.” Here, we present the February 2017 Traders’ Tips code with possible implementations in various software.
Bandpass Filter Strategy The related article is copyrighted material from
Stocks & Commodities Mar 2010
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
Bandpass Filter The related article is copyrighted material from
Stocks & Commodities Mar 2010
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
Indicator: Price Headley Accelaration Bands [LazyBear]The Acceleration Band System was published in "Big Trends in Trading" by Price Headley in 2002. The system designed to catch stocks as they start to trend but before they go parabolic. The system is simple but supposed to be very effective.
This system makes use of %R and ADX a lot to determine the entries/exits. Refer to the documents listed below for the complete set of rules.
More info:
* System Trading Rules: drive.google.com
* www.bigtrends.com
* www.slideshare.net
Bollinger Band Touch with EMA Filter (Inverted, Alerts)Bollinger Band Touch with EMA Filter above or below the 100 nd 200 emas
Bollinger Band Touch with EMA Filterbollomger band strategy above and below the 100 and above the 200
Fibonacci Bands[xaurr]This script draws Fibonacci bands according to std deviation using moving avarage with 233 periods, its the well know fibonacci number for following trend.
Crypto EMA Bands - Support and ResistanceEMA Bands for crypto markets shows support and resistance lines. Helps identify bull and bear market trends. SMA200 is white and turns yellow to signal pressure. Can also be useful for identifying Elliot waves and breakouts.
Quantile BandsMiddle quantile/band color is set by confluence of the outer quantiles and not by it's own slope. Optional MTF.
Kirshenbaum BandsThis 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!
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.
