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!
Bands
Synoptic Advanced Bands w/GaussAdvanced 9 value band engine with Gaussian option. Includes ALMA, DEMA, EMA, Gauss, HMA, KAMA, LSMA, RMA, SMA, SMMA, TEMA, VWMA, WMA as options for the band engine.
Features:
Three color themes built in, switch between them with a drop down box in the inputs tab, customize them on the style tab.
Change source, length for band engine.
Five band modes, including Bollinger Mode, Custom Mode, Fibonacci Mode, Gaussian Mode, and Normal Mode.
Factor setting for normal (equidistant) and compounding in band calculation.
Offset option
Gaussian core can be shown at all times, even when using a non-Gaussian band engine, and includes reduced lag, and fast response mode, as well as the option to adjust the core multiplier and poles for the Gaussian calculations.
Bollinger settings can be locked to the band settings or set independently for standard deviation.
All custom settings for ALMA, KAMA, LSMA, DEMA, TEMA available including some new ones.
Custom alerts can be set within the inputs tab, then activated through the regular alerts dialog.
40 programmable presets for band settings.
Over 1000 configurations possible for the main settings, many many more if counting minor adjustments.
Great for support/resistance, predicting major moves, trend change/direction, targets, assessing volatility etc.
Access available, please message for more info. If you already have access and need help with configuration, or have a bug to report please get in touch with me.
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.
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
HLC Banded Quadratic RegressionHigh/Low/Close Banded Quadratic Regression is now available through this implementation, free for all to use. It's simple purpose is to plot multiple independent parabolic curvatures using a matrix equation that best fits the non-linear data sets of high, low, and close. Features include an available dark background disabled by default for the overlay chart, adjustable regression period, and a banding lines width adjustment. If you have any comments regarding this indicator, I will consider your thoughts and ideas presented below.
RSI 𝝙 MapRSI 𝝙 Map is a on-chart application of signals produced by the original RSI 𝝙 Indicator.
RSI 𝝙 is a full study system of several RSI analysis that can be used on different timeframes and adapt strategy to trending markets or trading ranges.
Default Settings:
RSI: 13
Linear Regression of RSI: 34
Signal RSI: 5
Long RSI: 55
RSI 𝝙 Histogram: Delta between RSI and Long RSI based on Signal RSI_Length.
Activate Vertical Bar Highlights and/or Signal Candle Flags for:
- RSI Oversold/Overbought. (Default: Highlight Bar)
- Signal RSI Oversold/Overbought. (Default: Highlight Bar)
- RSI crossing its Linear Regression . (Default: Signal Candle Flag)
- RSI crossing its Long RSI . (Default: Off)
- Signal RSI crossing its RSI . (Default: Off)
- Signal RSI crossing its Long RSI . (Default: Off)
- RSI 𝝙 Histogram crossing baseline. (Default: Off)
Users can also do extra tuning in Style Section of Format options.
The market behaves differently when the pacing changes, volatility changes and when it trends or when it ranges. Develop an understanding of it with the help of this study.
Avoid risking more than 1% per trade. Be responsible for always making a priority about protecting capital and risk management. Develop emotional control and use this RSI study to develop a more complete trading system without any need for extra indicators other than Price and Volume .
👆active signals:
RSI Overbought/Oversold
Signal RSI Overbought/Oversold
RSI crossing Linear Regression
👆active signals:
RSI Overbought/Oversold
Signal RSI Overbought/Oversold
Signal RSI crossing RSI
Signal RSI crossing Long RSI
👆active signals:
RSI Overbought/Oversold
Signal RSI Overbought/Oversold
RSI crossing Linear Regression
RSI crossing Long RSI
Signal RSI crossing RSI
Tripple BB_13EMAHere 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
DYNAMIC SUP/RES 3.0Dynamic Support/Resistance 3.0
Features:
4x EMA
2x SMA
Horizontal support/resistance plot
Moving average support/resistance plot
Long/short signals + alerts
Close signals + alerts
Take profit signals + alerts
CryptoMedics Algorithmic Trading BandsCryptoMedics are happy to announce the release of our new Algorithmic trading bands!
The Bands can be used as dynamic support and resistance levels. Anything from scalping on the 1m chart to swing trading on the daily. The opportunities are endless.
Developed using tried and tested methods that hedge funds from wallstreet to smart individual traders have used for years now. Now all available to you.
Here is an example of scalping with it on the 3m chart on BCHZ18. If you would've used 10x leverage you would've made a total of 760%!
Examples:
Another example on XBTUSD using the bands to catch a swing trade
These results are undeniably good and I bet you can't find similar ones with any other indicator!
CryptoMedics Algorithmic Trading Bands CryptoMedics are happy to announce the release of our new Algorithmic trading bands!
The Bands are used as dynamic moving support and resistance levels and can be used for anything from scalping on low timeframes to swing trading larger moves.
An example of this would be if a coin pumped 20% and you're expecting it to go up more you wait for it to return to either the upper middle or one of the core bands and long it there.
The amount of usecases for this indicator is endless.
Developed using tried and proven methods that everyone from private individuals to wallstreet hedge funds have used. Now available to CryptoMedics subscribers.
The indicator works across any assets since it isn't based on any pair-specific data but rather more broad data that exists on all trading pairs.
ATR Entries & Stop Loss [Jigga]This is a simple script that displays multiples of ATR and shows you where the potential zones for longing and shorting are. The majority of people use ATR as a stop loss, so we can use it for our advantage and get in when they are stopped out. There is also a possibility to add a stop loss, so a trader can lose little when he is wrong and maximize profit when he is right. It works the best in ranging markets.
Do not forget to always use a proper stop loss and risk management.
Here you can see it in action:
BTC - BitMex - Range bound market
MTF Bollinger Bands, SuperTrend, TEMA Wave and ATR Stop LossThis script is a combination of useful overlay indicators that can be used for day trading or swing trading. You can use it for long term positions as well, but some tweaking may be required. I also added the multi time frame possibility for the majority of settings. This indicator gives you a lot of opportunities and trade setups. Default settings are made for day trading, using intraday time frames.
This script can display the following:
4 independent Bollinger Bands (MTF)
4 independent SuperTrends (MTF)
6 independent TEMAs (MTF)
ATR Stop loss for longs / shorts
Default settings display 3 Bollinger Bands, 2 TEMAs(I have found these two TEMAs particullarly useful, see screenshots below) and a signle SuperTrend.
Do not forget to always use a proper stop loss and risk management.
Here you can see the script in action in different markets:
BTC - BitMex - Setup before the drop from 7400 USD
BTC - BitMex - Setup before the drop from 8400 USD
BTC - BitMex - Setup before the pump to 7800 USD
BTC - BitMex - Setup before the pump to 6800 USD
RSI Bands Multi Time Frame [Jigga + LazyBear]This is a modified version of LazyBear's RSI Bands script. I added the possibility to display multiple RSI bands, so you can see the zones, where it is viable to enter a long or a short. You can also use different time frames, so you can visually see where any specific value of RSI is for your given time frame. This gives you a lot of possibilities. Default settings use 1h time frame and the most common reversal areas for RSI. Feel free to change the settings as you see fit. If the script makes your candles too small, you can go to style and turn off individual RSI bands. After that you will still be able to see the zones, but the scale of your chart won't be affected.
It also displays the middle line, which shows you the current trend and can prevent you from entering a long, when RSI is oversold during a strong downtrend or a short, when RSI is overbought during a strong uptrend.
Do not forget to use a proper stop loss and risk management.
Here you can see it in action in different markets:
BTC - BitMex
NASDAQ Composite - Stocks
EUR / USD - Forex
Trader Set - Uni Renko MCCIThis is what Woodie calls MCCI, a band of moving averages.
The name MCCI means Moving Commodity Channel Index, although it's one of the rare woodies original indicators (shame on you woodie lol) he suggests that the relation between the bars or price with the bands are something like the movement of the CCI indicator. I can't accept that. For me, these bands have other usages that I teach to my students.
To use this, you should set your chart on Renko, Traditional with box size of 3.
Please, don't ask for access, only my students from my classes will have access to this indicator, at least for time being. If at any time in future I wish to sell, you will find the price and how to buy in the comments bellow.
AutoEnvelopeA channel that contains approximately 95% of all price data for the past 100 bars, about five months on a daily chart. It automatically plots correct channels for any trading vehicle in any timeframe.
AutoEnvelopeA channel that contains approximately 95% of all price data for the past 100 bars, about five months on a daily chart. It automatically plots correct channels for any trading vehicle in any timeframe.
Bands %ABCThe % Bands multitool to keep volatility and reversals under control using quantitative approach and to trade using different signals.
Features
15 well known % bands
4 display modes ( All Lines , Average Line , Breakouts Histogram , Middle Crosses Histogram )
Bands Customization
Readable and optimized code
How to get access
Buy for 649$ (One-time payment, Source Code Transfer, Sole ownership)
Buy for 229$ (One-time payment, Full-time access, Multi ownership)
Make the symbolic monthly donations to support my open source work (Donate-per-use, Part-time access, Multi ownership)
Implemented bands
Bomar Bands %BOMAR (by Marc Chaikin and Bob Brogan)
Bollinger Bands %B (by John Bollinger)
Apirine Exponential Standard Deviation Bands (by Vitali Apirine)
Standard Error Bands %SEB (by Jon Andersen)
Kirshenbaum Bands %KB (by Paul Kirshenbaum)
Acceleration Bands %A (by Price Headley)
Keltner Channels %KC (by Chester W. Keltner)
Stoller Average Range Channels Bands %STARC (by Manning Stoller)
Donchian Channels %DC (by Richard Donchian)
Interquartile Range Bands %IQR (by Alex Orekhov)
Median Absolute Deviation Bands %MAD (by Alex Orekhov)
Mean Absolute Deviation Bands %MEANAD (by Alex Orekhov)
Vervoort Volatility Bands %VVB (by Sylvain Vervoort)
High Low Bands %HLB
Projection Bands %PB (by Mel Widner)
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
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.
Percentage BandsA different version of bollinger bands, I use percentage difference instead of standard deviation.
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.
Standard Error Bandswith 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.