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
스크립트에서 "band"에 대해 찾기
Prime Number Bands Strategy Determining market trends has become a science even though a high number
or people still believe it’s a gambling game. Mathematicians, technicians,
brokers and investors have worked together in developing quite several
indicators to help them better understand and forecast market movements.
The Prime Number Bands indicator was developed by Modulus Financial Engineering
Inc. This indicator is charted by indentifying the highest and lowest prime number
in the neighborhood and plotting the two series as a band.
WARNING:
- This script to change bars colors.
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
RSI BandsPlots adaptive ATR bands around the 27-EMA to approximate RSI overbought and oversold zones directly on price. Provides a clean visual reference for RSI-like extremes without displaying the RSI itself.
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
Bollinger Bands Volatility Arrows
Explanation of Changes:
Arrow Style:
Green Up Arrow (▲): Indicates increasing volatility with a positive value.
Red Down Arrow (▼): Indicates decreasing volatility with a negative value.
Labels with Arrows:
label.new is used to create arrows with the label.style_label_up or label.style_label_down styles.
The numerical value of the volatility is displayed beside the arrow using str.tostring.
Label Position:
For increasing volatility, the green arrow is placed near the high of the candle.
For decreasing volatility, the red arrow is placed near the low of the candle.
Text Format:
Includes the arrow symbol and the volatility value (formatted to 4 decimal places).
How It Works:
You’ll see green upward arrows for increasing volatility and red downward arrows for decreasing volatility.
Each arrow includes the exact value of the Bollinger Bands width at that moment.
Multiple Moving Averages, Bollinger Bands, VWAP Options - Lett5 simple moving averages.
You decide:
1. The type of moving average
2. The length of the moving average
3. To show Bollinger Bands
4. To show VWAP.
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.
Average True Range Overlay - BandPlots a band of width 1 ATR around the midpoint (HL2)
Settings:
- Length of ATR
