MXKE | Swing Trader AssistIntroduction
Swing Trader Assist indicator is designed to assist in the systematic identification of Hammers & Lookback signals within Uptrending markets, Stars & Lookback signals within Downtrending markets, and Mean Reversion signals within Sideways markets. The trader must first identify a strong market trend, then apply the indicator. Application of the indicator to weak trends will render equally weak signals. Application of the indicator to strong trends will render equally strong signals. Identification of strong trends is the responsibility of the individual trader and is instrumental to the successful deployment of this indicator and accompanying trading plan.
*Please comment below to request access*
*Please share with me on Twitter your usage and/or ideas for improvement so that I may improve this indicator in the future*
Market Types
Uptrend: Higher highs + Higher lows
Downtrend: Lower highs + Lower lows
Sideways: Higher highs + Lower lows (Expanding Range) or Lower highs + Higher lows (Narrowing Range)
Position Sizing
1R = .25%-2% of total nominal capital dependent upon timeframe and risk appetite
Order Types
Entry: Buy Stop 1 tick above High of “Up” Signal Bars; Sell Stop 1 tick below Low of “Down” Signal Bars
Stop: Bar Close <= 1 tick below Low of “Up” Signal Bar; Bar Close >= 1 tick above High of “Down” Signal Bar
Profit Target: 1.5R distance from “Up” or “Down” fill level with the option to trail stop on each new swing high/low; Bollinger Band Midline minimum 1.5R distance from “Sideways” fill level with option to trail stop on continuation to the opposite end of the range (opposite Bollinger Band)
Trading Plan
❑ Market Type is clearly identifiable as Up, Down or Sideways
❑ Swing Trader Assist indicator is set to the corresponding Market Type: Up, Down or Sideways
❑ Position size is no more than .25%-2% of total nominal capital (based on distance from Signal Bar fill level to Signal Bar stop level as 1R)
❑ Distance from Signal Bar fill level to potential Profit Target is minimum 1.5R
❑ On Hammer or Star fill: close position into trend extension at 1.5R+ or adjust trailing stop on each new swing high/low
❑ On Mean Reversion fill: close position at midline or adjust trailing stop on each continuation to opposite end of range
Usage Notes
The indicator will display developing signals intrabar and it is therefore suggested to wait until bar close to act on any signals. “Autodetect” setting under “Market Type” is currently in beta mode. While it is designed to reveal only relevant signals within strong trends based on a series of EMAs, this setting has not been extensively tested. Use with caution.
The indicator is not meant to be a mechanical trading system. It is designed to assist the trader in objectively and systematically identifying signal bars during the execution of the below swing trading plan. It is up to the trader to determine if overall price action warrants acting upon the signal bars or not.
Case Studies
Bollingerbandstrategy
Luckscout's Double Bollinger Bands StrategyLong Trade Setups:
To go long (to buy), you have to wait for one of the candlesticks to close above the BB upper band. (background color is green)
Short Trade Setups:
To go short (to sell), you have to wait for one of the candlesticks to close below the BB lower band. (background color is red)
How To Maximize Your Profit?
As I explained above, this trading system is good in catching the trends. Therefore, you’d better to take the advantage of the strong movements and maximize your profit.
When there is a strong trade setup, you can also take two positions with the same stop loss, when there is a trade setup based on the Double Bollinger Bands trading system. Set a 2 x SL target for the first position, and no target for the second one. If the first position hits the target, move the second’s position stop loss to breakeven and hold it (TLDR : Hold a sell as long as background is red)
In case of a long position, hold the second position as long as the candlesticks form between the BB1 and BB2 upper bands, or above the Bollinger Middle Band. Close the second position when candlesticks start crossing the BB1 upper bands, or when one of the candlesticks breaks below the Bollinger Middle Band . (TLDR : Holda buy as long as background is green)
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)
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.
(Poshtrader) Bollinger Band SqueezeThe Bollinger Band Squeeze is a trading strategy designed to find consolidations with decreasing volatility. In its simplest form, this strategy is neutral and the ensuing break can be up or down. Traders, therefore, must employ other aspects of technical analysis to formulate a trading bias to act before the break or confirm the break. Acting before the break will improve the risk-reward ratio.
BBPivotIt can helps you to see BB pivots . It's based on bollinger bands .
Best Settings: (20,3) - (50,2)
Cheers :)
MTF Bollinger Bands - ModifiedModified version of tansancrypto's MTF Bollinger to Pinescript 4 and removed limiters on BB1/BB2 max Sigma values.
Original Script:
Bollinger bands/Lagging span crossHello my dear ambitious traders
I'm working hard this week to publish some great indicators this week and open sourced. Hope you'll enjoy, learn and use them.
This will be my greatest reward but comments showing appreciation are also very welcomed (actually likes too) :)
For today, I'll share a simple indicator but it's coming along with some insightful knowledge ^^
Anyway, I'm not here to ask you to this but to share a very cool indicator I made a few months ago and wanted to share for FREE with the community today
The indicator is related to this educational post : What-a-Bollinger-Bands-Lagging-span-cross-can-tell-us/
This trading technique was invented by Robbytrade, a famous french trader twitter.com
I wanted to have those visual signals on the chart so I coded it.
The advantage of being a developer is that you can litteraly code what you miss and get your life better in the process. The one that will find a way to code a new form of money will be rich... wait.... that guy is called Satoshi Nakamoto...
That's all for me today my friends
PS
Trying to update the Trade Manager shared yesterday with some cool features. More to come in the upcoming days
Enjoy
Dave
BB - Study - CryptoFoudid.comHi everyone,
A new script transformed on a study from QuantNomad.
Based on the Bollinger Bands to catch the range market.
I filtered the consecutive signals to avoid a "funding" issue.
You can configure it as you want based on inputs.
The best way for crypto is to have about 45 to 55 length and 2 to 3.5 in multiplier but it's your choice :)
ENJOY !
Megalodon Pro Bollinger Band CalculatorHow to use?
It ranges between 0-100. 0 is oversold, 100 is overbought.
It could be a really beneficial tool for timing your day trades in lower time frames.
It is designed for 1 minutes - 15 minutes - 30 minutes - 60 minutes - 240 minutes - 1 Day time frames.
(JS) Bollinger Band Momentum Average Trailing StopsA tool I made to use alongside the Bollinger Band Momentum Average - fairly simple to use. It has the same settings as the BBMA so you can match them together.
If you prefer a wider stop than a close on the opposing side of the BBMA, this is for you.
The "stop" is triggered by a close on the other side of the stop line line turns red whenever the stop is triggered.
The calculation is simple:
The stop on the short side it is High - BBMA over the length of time you select to use (20 is default).
On the long side, it is BBMA - Low also over the preferred length of time you select to use.
Note: Just shorten the length to make a tighter stop.
Bollinger Bands Trading SignalsFeatures:
Trading signals based on Bollinger Bands trading strategy.
Powerful filter algorithm helps you avoid counter trade in trending market.
Getting Started:
Replace your Bollinger Bands indicator with this one.
You can see the trading signals and bands at the same time.
Contributing:
You can report bugs or issues under this page.
Any advice would be helpful for improving this indicator's accuracy.
Application:
This is an invite-only indicator.
Bollinger_Bands_Strategy(Add Function) - BB Free (By Wolf)전략 및 지표 얼러트등 파인스크립트 제작 문의 - 트레이딩뷰 메시지
Contact to create strategy and indicators add alert etc - TradingView Message
이름(Name)
Bollinger Bands Strategy (Add Function) (By Wolf)
-해당 전략은 Long & Short 의 신호를 발생시키는 전략입니다.
-The strategy is to generate a signal from Long & Short
기능 추가(Add Function)
-Trade Direction Long
-Trade Direction Short
-Stoploss ($)
-Profit target($)
-Backtest date
해당 전략은 수익률이 높은값으로 임의로 변경해놓았습니다
본인의 투자전략에 맞는 수치로 변경하여 사용하셔도 좋습니다.
*I entered the value with good profits settings for the strategy.
You can use this customarily
소스코드(Source code)
-비공개 (not open to the public)
*모든 전략은 리페인트 코드를 등록하지않았습니다.
-All strategies do not register the repaint code
*모든 전략 및 지표의 백테스트 결과는 BITMEX Fee 0.075% 를 입력한 결과값입니다.
-The back test result for all strategies and indicators is the result of inputting BITEX Fee 0.075%
*모든 거래는 높은 위험을 수반하며, 과거 백테스트 결과가 반드시 현재 및 미래의 결과를 나타내는것은 아닙니다.
가상 또는 시뮬레이션 백테스트 결과는 한계를 가지고 있으며 실제거래와 시장의 변동 및 유동에 따라 똑같지않을
가능성이있으며, 모든 손실에 대한 책임은 본인에게 있습니다.
-All trade involve high risk, and past backtest results do not necessarily represent current and future results.
Virtual or simulated backtest results have limitations and are not consistent with actual transactions and market changes and flows
It is possible and you are responsible for any loss.
Stochastic Bollinger StrategyBollinger defaults = 20, close, 2
Stochastic defaults = 13, 5, 5
Buy Signal (GREEN triangle):
BULLISH candle formed
Candle OPEN is LESS than LOWER Bollinger Band
Stochastic (K) is LESS than 20
Sell Signal (RED triangle):
BEARISH candle formed
Candle OPEN is GREATER than UPPER Bollinger Band
Stochastic (K) is GREATER than 80
Read more about the strategy and where to set buy stops and sell stops here: swing-trading-strategies.com
4 Bollinger Bands and 2 Exponential Moving Averages This script contains multiple indicators of 3 types for better visibility and without having to select multiple indicators one by one and hence saving your time and energy. Also, minimum number of variables are being used in the script for better calculation speed and implementation .
This script is best suited for beginners who are not using pro version and finding it difficult to implement more than 3 indicators on a single chart layout :)
Indicators used :
1. Hybrid of Simple Moving Average and Bollinger Bands .
In this Indicator user can use total of 4 Moving Averages or 4 Bolinger Bands or both (eg: 3 Bolinger bands and 1 Simple Moving Average).
> How to use :
If you want to use Bollinger Bands simply check the boxes of all the 'Upper' and 'Lower' Bands under indicator format/settings.
Else if you want to use Simple Moving Average simply uncheck the boxes of all the 'Upper' and 'Lower' Bands under indicator format/settings.
Tip : You are free to experiment with the format/settings to use both Simple Moving Average and Bollinger Bands using 'MA Length' and 'StdDev'
(standard deviation).
2. Exponential Moving Average
In this indicator user can use 2 Exponential Moving Averages .
> How to use :
If you want to use 2 Exponential Moving Averages simply check 'Enable 2nd EMA' under format/setting inputs.
Else if you want to use only 1 Exponential Moving Average simply uncheck 'Enable 2nd EMA' under format/setting inputs.
Tip : You are free to experiment with both 'EMA_Length1' and 'EMA_Length2' and change it as per your requirments.
//Feel free to ping/DM me for any explaination on how to use this script as your ultimate trading strategy.
RSI + BB (EMA) + Dispersion (2.0)First version here
Initial data:
1) RSI
2) Bollinger Bands (Basis - EMA )
3) Dispersion (around basis)
Signal for purchase: RSI crosses the dispersion zone upwards
Signal for sale: RSI crosses the dispersion zone downwards
Buffer zone: white area, it is not recommended to make transactions.
--- Add ( 02.10.2018 )
1) RSI lines (overbought / oversold) = 70 / 30. Сan be changed in the settings.
2) Alerts:
• RSI line crossover Dispersion Zone (green)
• RSI line crossunder Dispersion Zone (red)
Stochastic Bollinger BandsThis indicator started off as a bit of an experiment, but it ended up looking quite useful.
It plots closing price (which can be changed) in relation to the bollinger bands upper and lower bands. This relationship is then run through a Stochastic function much like RSI is with StochasticRSI.
This plot line is smoothed with the K Smoothing value in the settings, and then this plot line is smoothed again with he D Smoothing value to give a signal line.
When the plot lines are outside the horizontal upper and lower limit lines, then this indicates that price is outside the bollinger bands. This can indicate entry and exit signals.
In the background, there is an area plotting a stochastic version of the Bollinger Band width. This would show periods of high and low volatility as it relates to previous volatility.
The stochastic length for the width is set to be very long (144 periods) in order to encapsulate a long range of values to compare to.
Default Settings:
==============
Source: The data point in which to compare to the upper and lower Bollinger Bands - set to close.
BB Length: The length in periods to generate the moving average used for the bands - set at 20 periods.
Mult: This is the multiplier used in the calculations for the bands - set at 2.
BB Width Stochastic Length: This is how far back it looks to compare the current width of the bands to previous widths - set at 144 periods..
BB Stochastic Length: This is how far back to compare closing price in relation to the bands - set at 14 periods..
K Smoothing: This is used to smooth the Stochastic Bollinger band value - set at 3 periods.
D Smoothing: This is a moving average of the smoothed K value in order to provide a signal line - set at 3 periods..
Moving Average Type: This allows you to use either a Simple moving average or an Exponential moving average - set for SMA.
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Kindest Regards
Created 2018 - by @Squiggles#8806
LTC Tip Jar: LX4bUBdjiRPsagUbZoAczSGgDC4YqTJL7w
Profit Trailer Feeder affiliate link: cryptoprofitbot.com
MA(120,200), Bollingers and IchimokuFor you, people who want to put money in trading instead of Tradingview, and still want to have more than 3 indicators ❤
Calendar's Bollinger BandsHI guys, I'm Calendar
I made my 2nd indicator for my followers.
This indicator made by merging 2 Bollinger Bands.(SDV =1, 2)
BB Filtered AlertsBollinger Band signals filtered with dual RSIs and EMA.
EMA confirms trend.
Signals above EMA are filtered with "Uptrend RSI" filter
Signals below EMA are filtered with "Downtrend RSI" filter
There is no "one size fits all" setting. Settings are very period and name specific, depending on ATR.
Bollinger Bear Sniper/StudyThis is a simple study with buys and sells alerts. This study uses Bollinger Bands to identify strong candles, buys in the middle of candle and sells on the close of candle without holding any position longer than the period of the candle. This is for those who want to make small profit or loss and move on rather than hodling in down trend market. With this approach, bags and hodling are avoided. You either gain on each candle or lose. When your gains are more than your loses then you are in good business.
Since buys are made on candles that have shown strong upward movement and sells on the close of the same candle, loses or completely minimized. This ensures that higher percentage of the transactions result in profit. This works best when use on 30 minutes or above candles.
Use it at your own risk we are NOT responsible.