Полосы Боллинджера (BB)
N.White_ScalpM15TestThis test version of the strategy is designed for scalping on the timeframe M15. It includes drawing support and resistance lines, a bollinger band.
N.White_ScalpM5TESTThis test version of the strategy is designed for scalping on the timeframe M5. It includes drawing support and resistance lines, a bollinger band.
Bollinger Bands %B with HighlightsThis script highlights the indicator background when the Bollinger Bands are breached making it easier to spot them.
Good for strategies that rely on Bollinger Band breaches
Note: Clean version
NoScoobies Bollinger BandsBollinger Bands strategy that I am trying out, however I can't get my strategy.close to work. Looking for help.
inwCoin BB Break + BBWidth% StrategyEnglish
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Alternated version of my old Bollinger Bands strategy.
In this version, I'm using BB Squeeze option to determine the entry condition.
Entry Logic
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1) BB must squeeze less than BB Width Percent parameter.
2) Price close above upper band.
Then strategy will enter trade with stop loss at low of 9 previous candles.
Exit Logic
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You can choose which option to exit trade
1) Exit if price close below basis line ( MA 20 )
2) Exit if price close below lower BB
You can choose additional option like;
- Limit max position size = 100%
* If unchecked, if your stop loss distant % is less than Risk Percent parameter, you can get bigger position size more than your available capital ( like leverage )
The WAD Machine - Bitcoin BeatsHello Hello Hello, and welcome back to Bitcoin Beats!
This is a Conglomeration of different scripts into 1 indicator that shows a bunch of different things.
This is not all my own work but also a mixture of features taken from other useful scripts.
I will say in terms of originality, it takes a certain level of skill to put this together and get it working so I'll take the credit for that.
This script does all that is said below:
- Plots fibonacci zones with adjustable days, weeks, months ect.
- Shows lower highs, higher lows, lower lows, lower highs after recognizing candle patterns(note that this is not predictive, just shows what has already happened).
- Plots a Price Action Channel(PAC).
The candles automatically adjust to the PAC to give Buy and Sell signals on most timeframes.
If the candles are blue, it means buy.
If the candles are red, it means sell.
If the candles are grey, you shouldn't be in a trade.
I will not state the profitability of this method but for this section of the indicator, it's designed for entries.
Exits require a more manual approach using your own trading initiative.
Beginner traders should exit when the channel is hit and the candle turns grey again.
However, more advanced traders can try to use the Fibonacci zones and other features to manage their positions.
- Plots general trendlines automatically with customization of the lines and the length they go for.
- Plots major sloping supports and resistances automatically.
PLEASE TRADE AT YOUR OWN RISK.
Cheers, and good bye, from Bitcoin Beats.
Trap Out The Bandos by ZFelds3 Deviation Bollinger Bands w/ Lookback Periods based on the Fibonacci sequence.
Median plot based on standard 2 deviation Bollinger Bands.
ORTI Bollinger Bands V3 (Static Timeframe Multi-Period)The "ORTI Bollinger Bands V3 (Static Timeframe Multi-Period MA)" is public scrypt, based in a previous study, but with some better functions (“ORTI Bollinger Bands V2 (Static Timeframe Multi-Period MA”).
This is a redesigned and recalculated set of the common plotted lines with the typical two "Standard Deviations" (positively and negatively) away from the original calculation of a "Simple Moving Average" of the security's price.
But now, with the option to convert the "Simple Moving Average" to adapt into 9 different kinds of "Moving Averages", to have a much more robust indicator which in turn would serve both as "Bollinger Bands" and by any of the most used "Moving Averages", a hybrid basically.
The following options to convert the "Simple Moving Average" ( SMA ) to:
• Exponential Moving Average ( EMA )
• Weighted Moving Average ( WMA )
• Arnaud Legoux Moving Average ( ALMA )
• Hull Moving Average ( HMA )
• Volume-weighted Moving Average ( VWMA )
• Least Square Moving Average ( LSMA )
• Smoothed Moving Average ( SMMA )
• Double Exponential Moving Average ( DEMA )
The cherry on the top , for this private version: is when you want to get a predetermined count in "natural temporalities" as minutes, hours or days, in any graph you could get a static average, and this count will be automatically respected. For example, a "Moving Average" could be configurated to know a trend per day, week or month... or whatever comes to mind, and at every single chart that you move through (5m, 15m, 1h, 4h, etc), you will see the same average to make your own "trend analysis" into a micro/macro market view.
As in traditional "Bollinger Bands", the "Standard Deviations" are still a measure of volatility , when markets become more volatile, bands widen, during the less volatile periods, the bands contract.
A common fact in trading is that, prices vary most of the time and there is a lot of truth in this assertion, since the markets consolidate mainly as bullish andbearish . Market trends are sometimes very rare, so trading them may not be as easy as you might think. If we look at prices in this way, we can define the trend as a deviation from the norm (rank).
Usually, most Traders use “Moving Averages” to identify commercial areas and analyze markets. A “Moving Average” helps the Trader isolate the trend a lot and can also indicate when a trend may be receding.
The importance of using any of the “Moving Averages” in the “Bollinger Bands”, becomes a reality and reveals the average price of a marketable instrument in a given period of time. However, there are different ways to calculate the averages, and that is why there are different types of “Moving Averages”. They are called "in motion" because, as the price moves, new data is added to the calculation, thus changing the average.
The base of the “Bollinger Bands” measures and represents the deviation or volatility of the price and this is the reason why they can be very useful to identify a trend. Even the use of two sets of “Bollinger Bands”, one generated with the parameter "one Standard Deviation" and the other with the typical configuration of "two Standard Deviations", can help us to see the price in a different way.
Another great advantage of “Bollinger Bands” is that, they adjust dynamically as volatility increases and decreases. As a result, the “Bollinger Bands” automatically expand and contract in synchronization with the price action, creating an envelope of precise trends.
Note: The previous calculation example is not the default, the parameters can be adjusted according to the criteria of the merchant.
As everyone knows, and as you can find on the internet, the "Moving Averages" are one of the most commonly used technical indicators in Stock, Futures , Forex and Crypto trading. Market analysts and traders, use "Moving Averages" to help identify trends in price fluctuations, smoothing out the noise and short-lived spikes (from news and earnings announcements, for example) for individual securities or indexes.
They are calculated by adding recent closing prices and then dividing that by the number of time periods in the calculation average. A simple, or arithmetic, a "Moving Average" that is calculated by adding the closing price of the security for several time periods and then dividing this total by that same number of periods. Short-term averages respond quickly to changes in the price of the underlying, while long-term averages are slow to react.
There are different types of "Moving Averages", calculated in different ways and over different time periods, which reveal different information for traders. The type of "Moving Average" and measurement period used determine the strategies a trader implements. So, many traders watch for short-term averages to cross above longer-term averages to signal the beginning of an uptrend. Short-term averages can act as levels of support when the price experiences a pullback.
As is usual, traders and market analysts commonly use several periods in creating "Moving Averages" to plot on their charts. For identifying significant, long-term support and resistance levels and overall trends, but they only consider the 50-day, 100-day and 200-day moving averages as the most common. Based on historical statistics, these longer-term moving averages are considered more reliable trend indicators and less susceptible to temporary fluctuations in price.
There is such popular trading patterns that use "Simple Moving Averages" include the “death cross” and a “golden cross”. A “death cross” occurs when the short period "Moving Average" crosses below the long period "Moving Average" and this is considered abearish signal that further losses are in store; the “golden cross” occurs when a short-term "Moving Average" breaks above a long-term moving average, this can signal further gains are in store, that is interpreted as bearish .
The 5-, 10-, 20-, and 50-day moving averages are often used to spot near-term trend changes. Changes in direction by any of these shorter-term "Moving Averages" are watched as possible early clues to longer-term trend changes. Crossovers of the 50-day moving average by either the 10-day or 20-day "Moving Averages" are regarded as significant. The 10-day "Moving Average", plotted on an hourly chart, is frequently used to guide traders in intraday trading.
For more technical information: Investopedia
But why we have to use in our TECHNICAL ANALYSISthe same Moving Averages (10, 20, 30, 50, 100 and 200) for all time frame OHLC charts (1m, 5m, 15m, 1h, 4h, 1d, 1w and 1m)? That does not make any sense.
This is when you must go back to (statistic) basics: reliability and validity are a very important aspects of selecting a survey instrument. Reliability refers to the extent that the instrument yields the same results over multiple trials. Validity refers to the extent that the instrument measures what it was designed to measure.
Content validity measures the extent to which the items that comprise the scale accurately represent or measure the information that is being assessed. Are the real traders answering this question, that are asked representative of the possible data that they are trying to read? Well, I think maybe not.
Such as correlations, to verify the relevance of the “timeframe” questions, we could start at… Operation hours, the first data that has you should find may be is correlated with questions from: Does your trend indicator has a straight relationship of time under your time-analisys examination to determine if validity is present? If the scores are highly correlated, it is called convergent validity, then if convergent validity exists and validity is supported.
Criterion-related validity has to do with how well works the counting from the instrument, as a known outcome they are expected in a real, natural and measurable lapse time. Such as correlations are used to determine if criterion-related validity your counting data, would must be at: minutes, days, weeks, months, etc.
That is when we start with the rhythm, as in music. If your trading day in operation at Forex is made up of 24-hours, during 5-days of the week, there you have your first clue. Now, what did you want and have to measure? Well, first of all you need a daily, weekly and monthly count to begin with all your indicators.
For some reason, there are a lot of questions about time and calendars which all are answered by reference to astrology, because the original purpose of astrology was to create a reliable method of measuring the passage of time, the clock by which we live our lives: 12 Hours. It is very interesting!
Even though there are really 24 hours in a day, but therefore you would think we should have 12-time units in our day, not 24, each of which is twice as long as our current hour. But the only reason we would think like this is because we have forgotten about the way ancient astrology divides the time lapses into smaller units.
And now, the next step is when you should refresh your elementary school classes, those mathematics that I'm pretty sure you so hated: relation of prime numbers, compound numbers, divisible numbers and multiples.
You may think about the relationship that exists between the time period and the operative session, as well as the chart that you are consulting; so then, you must find the ideal configuration of those numbers that are only divisible between themselves and 1, or the numbers that besides being divisible by themselves and the unit and are also divisible by other numbers.
For example: for an hourly chart, if a day is divided into 24-hours in base of the number 12, is because it has a larger number of integer factors: 12/6=2, 12/4=3, 12/3=4, 12/2=6. Son then, all of your other indicators should find this relation.
This is when you must start questioning yourself, if you are really working with an adequate configuration of Moving Averages and Oscillators?
Another example:
• Relative Strength Index (14)
• Stochastic %K (14, 3, 3)
• Commodity Channel Index (20)
• Average Directional Index (14)
• Momentum (10)
• MACD Level (12, 26, 9)
• Stochastic RSI Fast (3, 3, 14, 14)
• Williams Percent Range (14)
• Ultimate Oscillator (7, 14, 28)
QQE MODSince there has been some demand for the QQE (Qualitative Quantitative Estimation ) figured I should upload my modified version of it as well.
The Orginal script is from Glaz, this is not my original idea - all I did was pretty much smash two QQEs together.
So there are Two QQEs in one script, right? One that is shown on the chart as columns, and the other "hidden" in the background which also has a 50 MA bollinger band acting as a zero line.
When both of them agree - you get a blue or a red bar.
Bollinger Band BreakoutIt is a long only strategy.
1. Buy when price breaks out of the upper band.
2. Exit has two options. Option 1 allows you to exit using lower band. Option 2 allows you to exit using moving average.
3. Option 1 preferred over option 2 if the instrument is highly volatile.
4. Slippage and commissions are not considered in the return calculation.
CryptoBandsGuru MultiColor Bollinger BandsHere are my Bollinger Bands that come with 2 std dev bands and a variety of moving averages. The bands can have shading between the bands and the middle section can be shaded.
Moving Averages include:
SMA
EMA
Weighted
Hull
Symmetrical
Volume Weighted
Wilder
Right now my 2 favorites are the Hull with a std dev of .5 and the Wilder with a std dev of 1.7 and 2.0.
You can get some really good signals buy putting both on the same chart. The faster Hull will move above and below the slower Wilder and show good price action.
Bollinger Bands BAT/USDT 30minThis is ready to use Bollinger Band strategy that was backtested on the data from the previous year 2019.
The main purpose of this strategy is to determine trades with the highest probability of success, to keep a consistent portfolio growth throughout the year. This strategy cherry-picks the most reliable points of entry on a particular timeframe (30m) for the particular asset (BAT/USDT). The backtest shows a great result of 78.95% profitability with the maximum drawdown of -4.02%. This is one of my strategies out of the group of automated strategies that helps to grow my portfolio steadily.
You are welcome to change inputs and backtest the following strategy. Any comments or ideas would be appreciated.
If you are happy with existing results and would like to automate the strategy, which can be done through alerts, then you need to convert it to study and add alerts in the code.
Let me know if you are interested in that and I will create a study based on this strategy.
Bollinger BandWidth With High/Low ReferencesThis indicator ads option to compare BandWidth accross time. John Bollinger says he uses 125 period.
[PX] MTF Standard Deviation LevelHello guys,
once again, I want to show you a different method for detecting support and resistance level. Today's approach is similar to the one I posted recently, but the way the level will be detected is different. I call it the multi-timeframe standard deviation level.
How does it work?
The method is similar to the way Bollinger Bands work. First, the indicator calculates the standard deviation, which can be influenced by the "Sensitivity"- and "Length"-setting.
Sensitiitiy - the higher the value, the fewer level will be shown
Length - simply the length for the standard deviation formula
Second, the detected value will be added (for resistance level) or substracted (for support level) from the current close. Once the upper or lower boundaries are crossed, a level will appear and keeps moving until the up- or downward movement finishes. Then the level will settle and stay in place.
Again, as seen in my previous indicator, you can control all the different styles and colors for the levels. The best part is, the whole thing works in a multi-timeframe fashion. In an example, you could select the "Daily" level and plot them on a 4-hour chart.
If you find this indicator useful, please leave a "like" and hit that "follow" button :)
Have fun, happy trading and once again Merry Christmas :)))
Exponential Deviation Bands [ChuckBanger]This is Exponential Deviation Bands. It is a price band indicator based on exponential deviation rather than the more traditional standard deviation, as you find in the well-known Bollinger Bands calculation. As compared to standard deviation bands, exponential deviation bands apply more weight to recent data and generate fewer breakouts. There fore it is a much better tool to identifying trends.
One strategy on the daily can be
Buy next bar if closing price crosses below the lower bands
Sell if price is equal to the current value of the upper bands
Ehlers Fractal Adaptive Moving Average with Bands [Bitcoinduke]FRAMA – What is it?
Fractal Adaptive Moving Average Technical Indicator ( FRAMA ) was developed by John Ehlers, code was implemented by TradingView user Shizaru. I've updated it to Pine Script 4 and added Bands Extension.
This indicator is constructed based on the algorithm of the Exponential Moving Average , in which the smoothing factor is calculated based on the current fractal dimension of the price series.
Advantages:
possibility to follow strong trend movements
determine moments of price consolidation ( FRAMA sufficiently slow down at these moments)
FRAMA + Bands
The FRAMA serves as a base for the Upper and Lower Bands which are used as a way to measure volatility by observing the relationship between the Bands and price. Typically the Upper and Lower Bands are set to two standard deviations away from the FRAMA ; however it should be adjusted depending on the task.
Cuban's Reversion BandsThere are quite a few band indicators out there, ATR, VWAP, Bollinger, Fib, etc. however, I could never find anything that could scale accurately during periods of high volatility. That brought me to writing this indicator.
These bands use my Volume-Weighted Anchored Trend (VWAT) for the basis and highlight the standard deviation that you might expect high probability reversals to occur from.
I use these bands in my own trading system. The default settings are quite effective but you're able to modify the std multiplier within the settings as you see fit.
Generally, I would only play reversals during a ranging environment, however even if the market is trending, these bands will assist in spotting a weakening trend.
An ideal trend reversal would be a wick into the outer band, followed shortly by a weaker sweep of the previous move and wicking the inner band.
Hopefully you'll find this useful in your trading!
FX Bull_TradersStreamComplete Solution for Trading. In this Indicator
1. Oscillators = In that you will find EMA, SMA & Bollinger Band
2. Length = It's Length of EMA & SMA
3. Demand Zone = Wherever you find "DZ" Label and with that Trend and Location is in your favour than you can go Long from that zone. And another thing you can choose base Quantity Up to 6 Bases.
4. Supply Zone = Wherever you find "SZ" Label and with that Trend and Location is in your favour than you can go Short from that zone. And another thing you can choose base Quantity Up to 6 Bases.
5. Higher Time Frame = Choose this thing so, tool can know what is your Higher Time Frame accordingly this it will judge your ITF & LTF.
6. Higher Distal & Lower Distal = Please enter manually the no.'s of your Upper Distal Line & Lower Distal Line. and when changing chart don't forget to make it "0"
7. Trend @ ITF = Choose your Trend. (Please choose your Trend from your ITF (Intermediate Time Frame)Time frame, to get better results)
9. Risk As per DATR in % = Calculates as per DATR (Daily Average True Range)
10. 1st Symbol & 2nd Symbol = To have other symbol price in your chart.
11. Explosive Candle & Basing Candle = Tick to view Explosive & Boring candle in zone formations & Untick hide the indication.
BB-levels_MTFThis indicator draws Bollinger Bands- levels from higher timeframes on the chart's right border as a horizontal support/resistance lines. BB(20)- levels are shown from timeframes MN, 2W, 1W, 1D, 4H and 1H.
Levels are shown both for Standard Deviation 1 (dotted BB25- and BB75- lines) and STD 2 (solid BB0- and BB100- lines), as well as SMA20 (blue BB50- line).
You can choose if you want to see only the lines or the labels also. And you can modify the line's length and width, and the label's position on the screen also.
ZoneBand (@Mido_yuiya)Bollinger band is converted to EMA , and support and resistance bands are made into regions
Better Bollinger Bands (now open source)General purpose Bollinger band indicator with a number of configuration options and some additional color-coded information. The main advantages of it over standard Bollinger bands are:
1) Better statistics:
* Uses volume weighted moving averages, variance, and standard deviation by default. The volume dependence can be disabled with a checkbox option, but generally makes it more responsive improves its ability to distinguish true outlier events from random variation.
* Lets you pick between different time windows (simple, sawtooth (WMA), exponential) in addition to the volume weighting, with appropriate Bessel corrections to make the estimators unbiased and to get consistent result for different weights.
* Has a checkbox option to use a linear regression in the band calculation if you don't want average momentum to be counted in the volatility. This turns the centerline into a last squares moving average, and the band width at each time step is given by the variance away from the regression line instead of from a moving average. Weights in the least squares regression are changed according to the other options. For tickers with a strong long-term trend this makes the bands track the price action more closely.
2) Geometric
* This does all calculations on log(price) instead of the prices themselves.
* Makes almost no difference in most cases, but gives better results on charts with strongly exponential behaviour that range between several orders of magnitude.
* Properly centered around price action on log plots.
* Will never annoy you by rescaling a log plot due to a negative lower band. The lower band is always positive for positive prices.
3) Some built in oscillators.
* This aims to reduce clutter by building in some other indicators into the band color scheme. You can pick between various momentum & RSI operators to color the center line and the bands, or leave the bands plain.
I've been using these bands myself for a few months & have been gradually adding functionality & polish. Feel free to comment, or to refer to me if you borrow any ideas.