Cryto WaveRyder ------ Phat Cryto WaveRyder are envelopes plotted at a standard deviation level above and below a simple moving average of the price. ... Cryto WaveRyder helps determine whether prices are high or low on a relative basis. They are used in pairs, both upper and lower bands and in conjunction with a moving averange.
I create a lot of Buy/Sell entry, therefore tranders can know where it is the best entry to take the place. Let's make some money with this indicator
Bollinger Bands (BB)
Bollinger Bands Width with Compression by UJBBollinger Band width % with compression line and color changing area.
Z-Score of RSIA way to see whether RSI is overbought or oversold inside its Bollinger Bands in the form of an oscillator. Z-score tells you how far the data is from the mean in terms of standard deviations. The numbers shown in the indicator are the number of standard deviations away from the average or mean. Like Bollinger Bands, if it is above the standard deviation border lines then it is considered to be outside the distribution or Bollinger Band. If it is above the upper border line then is it is overbought, if it is below the lower border line then is is oversold.
Example of how standard deviation works: 1 standard deviation contains 68% of the data, 2 SD (the default for BB) contains 95% of data, 3 SD for 99%, etc. If the data goes past that, it is considered to be outside the distribution. In statistics, data that is within the distribution is considered to be "significant".
The z-score line is colored green if it is above zero and red if it is below zero. Above zero means that the RSI is above the average line or the middle line of the Bollinger Bands, and vice-versa if it is below. A red vertical bar is shown when the the z-score is above the upper border line to show that it is overbought and a green vertical bar is shown when the z-score is below the lower border line to show that it is oversold. This is the equivalent of when the RSI is above and below its Bollinger Bands.
+ BB %B: MA selection, bar coloring, multi-timeframe, and alerts+ %B is, at its simplest, the classic Bollinger Bands %B indicator with a few added bells and whistles.
However, the right combination of bells and whistles will often improve and make a more adaptable indicator.
Classically, Bollinger Bands %B is an indicator that measures volatility, and the momentum and strength of a trend, and/or price movements.
It shows "overbought" and "oversold" spots on a chart, and is also useful for identifying divergences between price and trend (similar to RSI).
With + %B I've added the options to select one or two moving averages, candle coloring, and a host of others.
Let's start with the moving averages:
There are options for two: one faster and one slower. Or combine them how you will, or omit one or both of them entirely.
Here you will find options for SMA, EMA (as well as double and triple), Hull MA, Jurik MA, Least Squares MA, Triangular MA, Volatility Adjusted MA, and Weighted MA.
A moving average essentially helps to define trend by smoothing the noise of movements of the underlying asset, or, in this case, the output of the indicator.
All of these MAs available track this in a different way, and it's up to the trader to figure out which makes most sense to him/her.
MA's, in my opinion, improve the basic %B by providing a clearer picture of what the indicator is actually "seeing", and may be useful for providing entries and exits.
Next up is candle coloring:
I've added the option for this indicator to color candles on the chart based on where the %B is in relation to its upper and lower bounds, and median line.
If the %B is above the median but below the upper bound, candles will be green (showing bullish market structure). If %B is below the median but above the lower bound, candles will be red (denoting bearish market structure).
Overbought and oversold candles will also be colored on the chart, so that a quick glance will tell you whether price action is bullish/bearish or "oversold"/"overbought".
I've also added functionality that enables candles to be colored based on if the %B has crossed up or crossed down the primary moving average.
One example as a way to potentially use these features is if the candles are showing oversold coloration followed by the %B crossing up your moving average coloration. You might consider a long there (or exit a short position if you are short).
And the last couple of tweaks:
You may set the timeframe to whatever you wish, so maybe you're trading on the hourly, but you want to know where the %B is on the 4h chart. You can do that.
The background fill for the indicator is split into bullish and bearish halves. Obviously you may turn the background off, or make it all one color as well.
I've also added alerts, so you may set alerts for "overbought" and "oversold" conditions.
You may also set alerts for %B crossing over or under the primary moving average, or for crossing the median line.
All of these things may be turned on and off. You can pretty much customize this to your heart's delight. I see no reason why anyone would use the standard %B after playing with this.
I am no coder. I had this idea in my head, though, and I made it happen through referencing another indicator I was familiar with, and watching tutorials on YouTube.
Credits:
Firstly, thanks to www.tradingview.com for his brilliant, free tutorials on YouTube.
Secondly, thanks to www.tradingview.com for his beautiful SSL Hybrid indicator (and his clean code) from which I obtained the MAs.
Please enjoy this indicator, and I hope that it serves you well. :)
atr_channelThe original bollinger bands have a fixed deviation of 2%, this channel calculates the ATR % (Atr Percentage) and places the upper and lower bands
Cosmic Bands4 Bollinger Band channels with StdDev mult values of 1, 2, 4, and 4.5 (the last value can be changed in the indicator's settings).
Often shows better correlation with the log setting on.
Double BB + Multi Ema Supports 2.0 // by Mochero Use this indicator to identify the market trend, possible dynamic support or resistance, and possible reversals or corrections.
Take the moving averages (50,75,100,200) as a reference to identify whether the market is bullish or bearish.
Use the Parabolic Sar, to identify minor trends.
Take as reference the Moving Averages (5,9,15,25) as possible support or dynamic resistance.
You can also use a DEMA 9.
This indicator marks past Supports and Resistances to have a reference and mark reversal zones.
Take the BB as a reference, to identify possible setbacks or trend changes.
Added a third BB (optional).
-Added 3 types of signals, with RSI, Stoch, DMI. They indicate possible reversals or changes in trends.
Suggested values
-RSI 4
-Stoch 1 (5,1,1)
-Stoch 2 (14,1,1)
-DMI (10, 3)
Squeeze Momentum Indicator v4_pine [By Lazy Bear]This is the famous Squeeze Momentum Indicator made by @LazyBear in v4 version if someone wants to test some strategies, as the original code was in v2 version the code converter couldn't convert to v4.
Bollinger Bands With Squeeze [Nic]Bollinger bands with color indicators to detect two key scenarios :
- The squeeze (yellow) detects a potential breakout (or down) in price volatility.
- The extreme overbought / over sold conditions. This happens during a 'band ride'.
"There is nothing more beautiful than when a stock becomes overbought, and stays overbought" - John Bollinger
Multi Band Channel - Oversold/Overbought OscillatorIf your trading strategy is to sell the RIPs and buy the DIPs, this is an indicator for you.
This is based on the multi band indicator present here:
Code is simplified to generate as many bands as possible and hence divide price into as many states as possible based on these bands. Moving Average Type defines what moving average to be considered for Bollinger Band/Keltner Channel. This is based on
Once we derive price state based on multi bollinger band/keltner channel levels, we then look for highest and lowest levels in LoopbackPeriod .
Overbought level = Highest Level - Offset
Oversold level = Lowest Level + Offset
Blue line indicates current state.
Bollinger Bands - Custom moving averageFormula for bollinger bands is as below:
Mid = sma(20)
Top = sma(20) + 2*StdDev(20)
Bottom = sma(20) - 2*StdDev(20)
While standard bollinger bands allow changing standard deviation and length, there is no option to use different moving average.
This indicator allows you to define bollinger bands based on different moving average types which can be selected from input.
Mandelbrot's RangeThis uses a Rescaled Range from Benoit Mandelbrot's Misbehavior of Markets to devise a Risk Range on stocks. A trading position can be managed by selling portions at the top of the risk range and selling at the bottom of the risk range.
The Length parameter defines how wide the range is and how frequently the price will reach the range bands.
The Vol Length Parameter defines how far back to weight volatility, and how responsive the bands will be in response to volatility
Envy's Bollinger Band RSI Strategy - My First ScriptThis is an indicator that prints buy and sell signals based off the conditions that are met and this strategy itself can be really good when used correctly and do not use this when you are looking at news pair or any pairs of high volatility and this can be done through looking at the market research on the forex.com website.
This strategy uses the bollinger bands paired with RSI to determine the possible entries and when these two conditions are met, one final condition will have to be met, which is the overstretched candle, and if these are all met then the entry is valid.
Now before placing an entry if you do decide to use this strategy please follow the steps below:
Recommended Time frame: 5 Minutes
If RSI is higher or equal to 75 -> Look for sells or enter a small position to test the burst of the candle
RSI > 75 and Overstretched -> Placing sells and if the candle builds up then you can have another position that can be greater than the previous if you want to take that risk (No more than 2 or 3)
Take Profit: 5-10 pips downwards
Stop Loss: 10 pips or higher
If RSI is lower or equal to 25 -> Look for buys or enter a small position to test the burst of the candle
RSI < 25 and Overstretched -> Placing buys and if the candle falls down then you can have another position that can be greater than the previous if you want to take that risk (No more than 2 or 3)
Take Profit: 5-10 pips upwards
Stop Loss: 10 pips or higher
Tip: For extra confirmation use the one minute time frame to your leverage, if both the 1 minute and the 5 minute has their RSI to the key levels then it will be a high probability trade!
Note: Do not trade high volatility news events
The time zone to trade in: London Open - New York Closing
The script also provides you with multiple interchangeable settings that can provide you a better picture of trades and reduce noise, however this is my first script so there will be errors that will be listed below!
The dashboard will show you current RSI value, current pair, current timezone, overall trend with the 100MA and the strategy trend with the bollinger band.
Known Bugs:
-Sometimes the signals won't print depending on the bollinger band upper or lower ring and this can be fixed by lowering RSI, changing RSI source output, changing the bollinger band settings etc.
-The print text is constantly recreated after every candle that meets the conditions (mostly appears on news event pairs) and this can be annoying to see and has a lot of noise - noise can be reduced through increasing RSI Source
-The timezone on the dashboard is constantly set to New York for some odd reason
Squeeze Momentum Signal Overlay [GN]Companion script for Squeeze Momentum Indicator that plots the signal on chart.
Bitcoin Bubble Strength IndexFor those who interested, here is a Bitcoin Strength Index source code. I used it on weekly chart with params (close,28). And only with Bitcoin . And only during bull run. It shows how far price went off the particular moving average during bubble run (i.e. being above BB). Weekly MA 28 is approximately daily ma 200.
The physical meaning of this indicator is to show current bull rally "speed".
Bollinger bands % Sideways indicatorDetect sideways markets (green background) vs. trending markets (red background) with this indicator. It makes use of the Bollinger bands % as its base.
TopTenAlgo 10. SQZMOM_LSvwMA with Bar ColorEN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place.
Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator .
In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ...
This algorithm is prepared with @Top10Algo ...
TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir.
Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır.
Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim...
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Kodlamadaki katkılarından ve yol göstericiliğinden dolayı teşekkürü bir borç bilirim.
TopTenAlgo 10. SQZMOM_LSvwMA with Bar Color (Not Based Volume)EN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place.
Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator .
In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ... (For Symbols that cannot be read on the Volume Indicator)
This algorithm is prepared with @Top10Algo ...
TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir.
Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır.
Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim... (Hacim Göstergesi okunamayan Semboller için)
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
RSI + Kijun/Standard Deviation on RSIThe script is inspired by Bollinger bands but instead of applying them on the price, they are applied on a RSI oscillator. The standard deviation is not plotted against the average like in normal BBs but instead is based on median values (equivalent of a Kijun in Ichimoku ). The goal is to better identify excess in prices that offer good entering points. The usage of a median provides a clearer view of ranging market (ie. the line will be flat).
I use it for long-term investments on stocks to find "fair" entry points. After picking a list of stocks of interest based on fundamentals, I switch to a weekly view. If the stock RSI is under the bands, it indicates that we are in favorable conditions for a buy. For an accurate timing, you can switch to the daily chart and watch out for either a break or a reintegration in the bands. This is your signal.
Relative Channel BandwidthThis indicator uses different volatility channels - Bollinger Band, Donchian Channel and Keltner Channel width to measure volatility.
Indicator plots channel bandwidth percentage with respect to close price.
This is not same as Bollinger Percent B - which is measure of where price is with respect to band. Instead this indicator is similar to ATR Percent indicator published here:
Plotting is color coded to indicate volatility zone:
Red : Extreme volatility
Orange : High volatility
Lime : Low volatility
Green : Extreme low volatility
These levels are again derived by long period bollinger bands
RSIPRO TrendIndicatorThis RSIPRO indicator is based on RSI , BB and EMA and it has LONG/SHORT alerts for signals
In script settings you can specify:
1) Dispertion value, 0.15 by default. Dispertion around bolinger bands with RSI as source signal.
2) Use smoothing option and smooth factor value (3 by default). It smoothes RSI with moving average filter.
3) Enable/Disable filter to show signals only after RSI overbought/oversell zones
Disabled by defaults and RSI is 65 for upper zone and 35 for lower zone.
You can also specify how many bars back before current bar this filter must do. It's 10 by default, you can vary it up to 90.
Best fits for 4H timeframe. Also good for 15min scalping strategy. Fits for any crypto coins, forex, metals, oil and bonds.
This is invite only script. PM me if you want to test it.