Volume Weighted Average Range Bands [DW]This is an experimental study designed to identify the underlying trend bias and volatility of an instrument over any custom interval TradingView supports.
First, reset points are established at points where the opening price of the interval changes.
Next, Volume Weighted Average Price (VWAP) is calculated. It is the cumulative sum of typical price times volume divided by the cumulative volume. The cumulation starts over upon each reset point.
After that, Volume Weighted Average Range (VWAR) is calculated. The formula structure is the same as VWAP, except using range rather than typical price.
Lastly, the bands are calculated by multiplying the VWAR by the specified multiplier (approximate Golden Ratio by default) and by 1 through 5, then adding to and subtracting from the VWAP.
Custom Bar Colors are included.
Bands
LuauDesign's Oscillator v1I wanted to make an indicator that behaved similarly to Parallel Channels. This is what I currently have.
Blue Oscillator for uptrend. Red Oscillator for downtrend. Both for ranges.
Recommended periods are powers of two (16, 32, 64, 128, 256), which should be adjusted according to volatility.
There's a alternate version of this same code that shows Price Bands instead. Easier to spot trend direction and how price responds to each Channel.
LuauDesign's Price Bands v1I wanted to make an indicator that behaved similarly to Parallel Channels. This is what I currently have.
Blue Channel for uptrend. Red Channel for downtrend. Both for ranges.
Recommended periods are powers of two (16, 32, 64, 128, 256), which should be adjusted according to volatility.
There's a alternate version of this same code that shows an Oscillator instead. Less clutter if you're using more than one at once.
Fractal Chaos Bands Backtest The FCB indicator looks back in time depending on the number of time periods trader selected
to plot the indicator. The upper fractal line is made by plotting stock price highs and the
lower fractal line is made by plotting stock price lows. Essentially, the Fractal Chaos Bands
show an overall panorama of the price movement, as they filter out the insignificant fluctuations
of the stock price.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Laguerre Multi-Filter [DW]This is an experimental study designed to identify underlying price activity using a series of Laguerre Filters.
Two different modes are included within this script:
-Ribbon Mode - A ribbon of 18 Laguerre Filters with separate Gamma values is calculated.
-Band Mode - An average of the 18 filters generates the basis line. Then, Golden Mean ATR over the specified sampling period multiplied by 1 and 2 are added and subtracted to the basis line to generate the bands.
Multi-Timeframe functionality is included. You can choose any timeframe that TradingView supports as the basis resolution for the script.
Custom bar colors are included. Bar colors are based on the direction of any of the 18 filters, or the average filter's direction in Ribbon Mode. In Band Mode, the colors are based solely on the average filter's direction.
Fractal Chaos Bands Strategy Stock market moves in a highly chaotic way, but at a larger scale, the movements
follow a certain pattern that can be applied to shorter or longer periods of time
and we can use Fractal Chaos Bands Indicator to identify those patterns. Basically,
the Fractal Chaos Bands Indicator helps us to identify whether the stock market is
trending or not. When a market is trending, the bands will have a slope and if market
is not trending the bands will flatten out. As the slope of the bands decreases, it
signifies that the market is choppy, insecure and variable. As the graph becomes more
and more abrupt, be it going up or down, the significance is that the market becomes
trendy, or stable. Fractal Chaos Bands Indicator is used similarly to other bands-indicator
(Bollinger bands for instance), offering trading opportunities when price moves above or
under the fractal lines.
The FCB indicator looks back in time depending on the number of time periods trader selected
to plot the indicator. The upper fractal line is made by plotting stock price highs and the
lower fractal line is made by plotting stock price lows. Essentially, the Fractal Chaos Bands
show an overall panorama of the price movement, as they filter out the insignificant fluctuations
of the stock price.
WARNING:
- This script to change bars colors.
Fractal Chaos Bands Stock market moves in a highly chaotic way, but at a larger scale, the movements
follow a certain pattern that can be applied to shorter or longer periods of time
and we can use Fractal Chaos Bands Indicator to identify those patterns. Basically,
the Fractal Chaos Bands Indicator helps us to identify whether the stock market is
trending or not. When a market is trending, the bands will have a slope and if market
is not trending the bands will flatten out. As the slope of the bands decreases, it
signifies that the market is choppy, insecure and variable. As the graph becomes more
and more abrupt, be it going up or down, the significance is that the market becomes
trendy, or stable. Fractal Chaos Bands Indicator is used similarly to other bands-indicator
(Bollinger bands for instance), offering trading opportunities when price moves above or
under the fractal lines.
The FCB indicator looks back in time depending on the number of time periods trader selected
to plot the indicator. The upper fractal line is made by plotting stock price highs and the
lower fractal line is made by plotting stock price lows. Essentially, the Fractal Chaos Bands
show an overall panorama of the price movement, as they filter out the insignificant fluctuations
of the stock price.
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.
Fibonacci BandsFibonacci Bands work like a cross between Bollinger Bands and Ichimoku clouds.
The upper Fib band is the 61.8% band, the middle Fib band is 50% band and the lower Fib band is the 38.2% band. It also has a forward projection inspired by Ichimoku clouds.
You do have the option of enabling the 100% and 0% bands within the options.
This is the initial release of the indicator, beautifying it and opening up the source code will be in future releases.
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.
FIBONACCI BANDS by KIVANCfr3762Calculated with a default value of 14 periods of EMA and 14 periods of Average True Range ( SMA )
There are 4 levels of upper bands and 4 levels of lower bands in the indicator
its calculated adding and subtracting ATR( SMA ) values with coefficients 1, 1.618, 2.618 and 4.236 (Fibonacci ratios) to EMA of close prices.
Top and Bottom Fibo lines are aceepted as significant Resistance and Support levels.
KAMA Fibonacci Bands [DW]This study is an experimental combination of the Kaufman Adaptive Moving Average with ATR and Fibonacci percentages.
GunbotXT BB-RSISimulation of GunbotXT BB-RSI strategy useful for fine tuning settings and backtesting.
In Pine Editor -> Open "GunbotXT BB-RSI" -> Add To Chart -> On Indicator -> Format -> Input your desired settings to test.
Yellow = Bollinger Bands
Red = High BB (Sell)
Green = Low BB (Buy)
You will not see the RSI on the chart, you need to (and should) add 2nd indicator "Relative Strength Indicator" so that you can visually see how it is being used in the tuner. If you change the RSI 70/30 numbers in the tuner then change them also in the RSI 2nd indicator that you added below the tuner so that they visually match what is going on behind the scenes in the tuner.
NOTICE: By requesting access to this script 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!
Gunbot BB - Dmitrovic v1.0Gunbot script made based on bollinger bands.
Currently backtesting in v1.0.
Arbitrage Level (Advance)This version of level is designed for stocks that have not existed long enough to qualify for our standard arbitrage level formula.
It also can be used on shorter time periods to show entries for day trades or swing trades.
Enjoy
Combo Indicator V2This is an updated version of the Combo Indicator I previously published. It combines Bollinger Bands, 3 moving averages and 1 exponential moving average all into one chart. I use this indicators on most of my charts so wanted an easy way of combining them all.
SPECIAL BONUS
This indicator also includes a common Bollinger Band trading strategy built in. It was developed with options trading in mind for members over at OptionsPlayers.com. It tries to detect when the BB tunnel tightens, and then triggers an entry position when it detects the breakout. No strategy is 100% accurate, and there are some false positives, but it seems to work fairly well. However, do your own due diligence and use at your own risk.
The strategy can be turned on using a checkbox in the properties.
Combo IndicatorFor easier setup, this script combines 5 indicators. 3 simple moving averages, 1 EMA and Bollinger Bands. These are common indicators that are that often used and discussed on OptionsPlayers.com
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.
Ichimoku And DD Bollinger BandsIchimoku System Plus Double Bolliner Bands
Made in Mexico City with Love.
FHX Bands (VWMA BB)This study is an optimized version of Bollinger Bands based on volume weighted data points: more volume on a bar gives those prices a higher impact. FHX bands base on the assumptions of auction market theory (e.g., as does volume profiling). Bollinger Bands implicitly assume a uniform probability mass function for data points and consider only the - somewhat arbitrary - close price. In contrast to this, FHX bands take all four available data points into account (OHLC) and use the volume at each candle* to define a probability mass function in order to compute mean and standard deviation.
As an indicator, FHX bands could be used in the same way as BB to facilitate or confirm Break-Out trades and identify strong momentum moves. Settings for the standard deviation multiplier should be interpreted as follows (following the 68–95–99.7 rule):
x standard deviation set to 1: ~32% chance that a move outside the bands is by chance
x standard deviation set to 2: ~5% chance that a move outside the bands is by chance
x standard deviation set to 3: ~0.3% chance that a move outside the bands is by chance
This however assumes a fairly solid period of consolidation beforehand (visible through notable contraction of the bands) and a normal distribution of values within that consolidation period. Therefore users need to experiment within their time frame in order to identify a Length setting that suits their needs. Personally, I set Length to 21 or lower, depending on my targeted time frame. Note that the indicator does not test for normality in any way; you can, however, use a quick visual test using the fixed range volume profile indicator to increase its reliability.
Good luck and mind your risk
-fhx
* of course tick data would be the real deal, but we work with what we have
Kaufman's Adaptive Moving Average BandsKaufman's Adaptive Moving Average with 6 Bands at a time and trend direction.
