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Bollinger Bands (BB)

Keltner Channel Width Oscillator (KingThies)Definition The Keltner Channel Width oscillator is a technical analysis indicator derived originally from the same relationship the Bollinger Band Width indicator takes on Bollinger Bands. Similar to the Bollinger Bands, Kelts measure volatility in relation to price, and factor in various range calculations to create three bands around the price of a given stock or digital asset. The Middle Line is typically a 20 Day Exponential Moving Average while the upper and lower bands highlight price at different range variations around its basis. Keltner Channel Width serve as a way to quantitatively measure the width between the Upper and Lower Bands and identify opportunities for entires and exits, based on the relative range price is experiencing that day. Calculation Kelt Channel Width = (Upper Band - Lower Band) / Middle Band More on Keltner Channels Keltner channel was first described by a Chicago grain trader called Chester W. Keltner in his 1960 book How to Make Money in Commodities. Though Keltner claimed no ownership of the original idea and simply called it the ten-day moving average trading rule, his name was applied by those who heard of this concept through his books. Similarly to the Bollinger Bands, Keltner channel is a technical analysis tool based on three parallel lines. In fact, the Keltner indicator consists of a central moving average in addition to channel lines spread above and below it. The central line represents a 10-day simple moving average of what Chester W. Keltner called typical price. The typical price is defined as the average of the high, low and close. The distance between the central line and the upper, or lower line, is equivalent to the simple moving average of the preceding 10 days' trading ranges. One way to interpret the Keltner Channel would be to consider the price breakouts outside of the channel. A trader would track price movement and consider any close above the upper line as a strong buy signal. Equivalently, any close below the lower line would be considered a strong sell signal. The trader would follow the trend emphasized by the indicator while complementing his analysis with the use of other indicators as well. However, the breakout method only works well when the market moves from a range-bound setting to an established trend. In a trend-less configuration, the Keltner Channel is better used as an overbought/oversold indicator. Thus, as the price breaks out below the lower band, a trader waits for the next close inside the Keltner Channel and considers this price behavior as an oversold situation indicating a potential buy signal. Similarly, as the price breaks out above the upper band, the trader waits for the next close inside the Keltner Channel and considers this price action as an overbought situation indicating a potential sell signal. By waiting for the price to close within the Channel, the trader avoids getting caught in a real upside or downside breakout.
Pine Scriptยฎ indicator
by kingthies
1
Bollinger Bands + Keltner Channel Refurbishedโ–ˆ Goals This is an indicator that brings together Bollinger Bands and Keltner's Channels in one thing. Both are very similar, so I decided to make a merge of the best features I found out there. Here there is the possibility of choosing one of these two as needed. In addition, I added the following resources: 1. Pre-Defined intermediate bands with Fibonacci values; 2. Detachment of the bands in which the price was present; 3. Choice of Moving Average: "Simple", "Exponential", "Regularized Exponential", "Hull", "Arnaud Legoux", "Weighted Moving Average", "Least Squares Moving Average (Linear Regression)", "Volume Weighted Moving Average", "Smoothed Moving Average", "Median", "VWAP"); 4. Statistics: bars count within the bands. โ–ˆ Concepts Keltner Channels vs. Bollinger Bands "These two indicators are quite similar. Keltner Channels use ATR to calculate the upper and lower bands while Bollinger Bands use standard deviation instead. The interpretation of the indicators is similar, although since the calculations are different the two indicators may provide slightly different information or trade signals." (Investopedia) Bollinger Bands (BB) "Bollinger Bands (BB) are a widely popular technical analysis instrument created by John Bollinger in the early 1980โ€™s. Bollinger Bands consist of a band of three lines which are plotted in relation to security prices. The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (the type of trend line and period can be changed by the trader; however a 20 day moving average is by far the most popular). The SMA then 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 SMA (The Middle Line); however the number of standard deviations can also be adjusted by the trader." (TradingView) Keltner Channels (KC) "The Keltner Channels (KC) indicator is a banded indicator similar to Bollinger Bands and Moving Average Envelopes. They consist of an Upper Envelope above a Middle Line as well as a Lower Envelope below the Middle Line. The Middle Line is a moving average of price over a user-defined time period. Either a simple moving average or an exponential moving average are typically used. The Upper and Lower Envelopes (user defined) are set a range away from the Middle Line. This can be a multiple of the daily high/low range, or more commonly a multiple of the Average True Range." (TradingView) โ–ˆ Examples Bollinger Bands with 200 REMA: Keltner Channel with 200 REMA: Bollinger Bands with 55 ALMA: Keltner Channel with 55 ALMA: Bollinger Bands with 55 Least Squares Moving Average: โ–ˆ Thanks - TradingView (BB, KC, ATR, MA's) - everget (Regularized Exponential Moving Average) - TimeFliesBuy ("Triple Bollinger Bands") - Rashad ("Fibonacci Bollinger Bands") - Dicargo_Beam ("Is the Bollinger Bands assumption wrong?")
Pine Scriptยฎ indicator
by andre_007
23
Bollinger Band Width Percentile - Multi Time FrameMy plan with this indicator was when trading at short timeframes, to modify my expectations on the potential impact of short term volatility based on volatility in longer timeframes, and when trading on longer timeframes to attempt to find an optimal entry point based on shorter term volatility. The BBWP is calculated for a short, medium and long timeframe, alerts are triggered at extremities with the ability to filter by moving averages and chart movement. The alerts also trigger a plot to the "Backtest Signal" which can be used to trigger trades in a backtester. Please see the discussions of how I'm using this indicator in the comments below. Thanks to The_Caretaker for "Bollinger Band Width Percentile" upon which this multi time frame version is based.
Pine Scriptยฎ indicator
by EltAlt
11
OBV Overbuy+sell Oscillator[RSU]On-balance volume (OBV) is a technical trading momentum indicator that uses volume flow to predict changes in stock price. Joseph Granville first developed the OBV metric in the 1963 book Granville's New Key to Stock Market Profits. This indicator is based on the OBV indicator and adds 2 times the standard deviation Bollinger Band to evaluate the overbought and oversold phenomenon of the OBV indicator. The characteristics of Bollinger Bands: According to the normal distribution phenomenon, only 5% of the cases will exceed 2 times the standard deviation of the Bollinger Bands . So when it exceeds, I use colors to mark red overbought and green oversold situations. Usage: 1.Identify trends: Identify current stock trends by OBV's 30 average line color. 2.Breakthrough:OBV Breakthrough 30 average,signal trend may reversal. 3.Oversell and overbuy:A break below overbuy could signal a temporary end to the uptrend. 4.Divergence:When the slope of the two highs is opposite to the slope of the two highs of the indicator, a trend reversal signal may occur.
Pine Scriptยฎ indicator
by ChartZon
5
Steven Primo's bollinger bands strategyHi, this strategy is taken from a video made by Steven Primo. You can look it up on YouTube if you want to know about it. It is a mean-reversion strategy based on the Bollinger Bands, in which we wait for 5 consecutive closes above the upper band, and for a short-term top. Once it happens, we place an entry order on this top, with a stop at the nearest bottom before the movement started, and use the difference from the stop and entry point to determine the target. For shorting, it's the same process, but for the downside. From my testing, only long orders were profitable, but you can configure whichever you want. It works well for directional markets with a low level of noise, as you can see with the BTCUSD chart. One of its caveats is the short number of occurrences, and the long stop loss and target. You can enable a trailing stop, but from my testings, it just made the results worse. I made some modifications, like removing the MA requirement, since the entry point was above it almost all the time, and I forced the BB to use a log version of the prices, so that discrepancies are eliminated. You'll also notice that you can't select an extension that is lower than 100, and that is intentional, since you're not supposed to enter a trade in which you can lose more than what you can earn. I chose not to implement any kind of risk management, but I might do that in the future. You can leave your suggestions in the comments.
Pine Scriptยฎ strategy
by EduardoMattje
1
Simple Bollinger Band Width PercentileI'm a big fan of The_Caretaker's BBWP and wanted to add it as a volatility indicator to some of my scripts, but since it is over 100 lines of code (plus spacing and comments) I wanted to find if there was a simpler way to get comparable results. SBBWP uses Pine 5 built in functions that I don't believe were available when The_Caretaker wrote BBPW. The main limitations compared to The_Caretaker's version is that it can only use SMA as its Basis Type and the colors are also not as pretty. I have not included alerts or scale lines since I'm not trying to replace BBWP, just give a simple example that you can easily build in to your scripts. Full credit and respect to The_Caretaker!
Pine Scriptยฎ indicator
by EltAlt
1
Sideways Strategy DMI + Bollinger Bands (by Coinrule)Markets donโ€™t always trade in a clear direction. At a closer look, most of the time, they move sideways. Relying on trend-following strategies all the time can thus lead to repeated false signals in such conditions. However, before you can safely trade sideways, you have to identify the most suitable market conditions. The main features of such strategies are: Short-term trades, with quick entries and quick exits Slightly contrarian and mean-reversionary Require some indicator that tells you itโ€™s a sideways market This Sideways DMI + Bollinger Bands strategy incorporates such features to bring you a profitable alternative when the regular trend-following systems stop working. ENTRY 1. The trading system requires confirmation for a sideways market from the Directional Movement Index (DMI) before you can start opening any trades. For this purpose, the strategy uses the absolute difference between positive and negative DMI, which must be lower than 20. 2. To pick the right moment to buy, the strategy looks at the Bollinger Bands (BB). It enters the trade when the price crosses over the lower BB. EXIT The strategy then exits when the move has been exhausted. Generally, in sideways markets, the price should revert lower. The position is closed when the price crosses back down below the upper BB. The best time frame for this strategy based on our backtest is the 1-hr. Shorter timeframes can also work well on certain coins that are more volatile and trade sideways more often. However, as expected, these exhibit larger volatility in their returns. In general, this approach suits medium timeframes. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Pine Scriptยฎ strategy
by Coinrule
3
[_ParkF]Mini Chart(BB)Bollinger Bands of different lengths are displayed with a line chart in front of the candle. A Bollinger band with a length of 20 and a Bollinger band with a length of 120 can be easily identified by the circle and color displayed whenever the line passes. In the input menu, you can edit the length and deviation of the Bollinger band, the number of candles to be displayed in front, the thickness of the line, the color, and the color of the circle. And the expected value of each Bollinger band was measured and displayed. You can change the thickness and color of the displayed predictive circle in Predictive of the input menu. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ์„œ๋กœ ๋‹ค๋ฅธ ๊ธฐ๊ฐ„๊ฐ’์„ ๊ฐ€์ง„ ๋ณผ๋ฆฐ์ €๋ฐด๋“œ๋ฅผ ์บ”๋“ค๋ณด๋‹ค ์•ž์ชฝ์— ์„  ์ฐจํŠธ์™€ ํ•จ๊ป˜ ํ‘œ์‹œํ•˜์˜€์Šต๋‹ˆ๋‹ค. 20์˜ ๊ธฐ๊ฐ„๊ฐ’์„ ๊ฐ€์ง„ ๋ณผ๋ฆฐ์ €๋ฐด๋“œ์™€ 120์˜ ๊ธฐ๊ฐ„๊ฐ’์„ ๊ฐ€์ง„ ๋ณผ๋ฆฐ์ €๋ฐด๋“œ๋ฅผ ์„ ์ฐจํŠธ๊ฐ€ ํฌ๋กœ์Šคํ•  ๋•Œ ๋งˆ๋‹ค ํ‘œ์‹œ๋˜๋Š” ์ ๊ณผ ์ƒ‰์„ ํ†ตํ•ด ์‰ฝ๊ฒŒ ์‹๋ณ„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. input ๋ฉ”๋‰ด์—์„œ ๋ณผ๋ฆฐ์ €๋ฐด๋“œ์˜ ๊ธฐ๊ฐ„๊ฐ’๊ณผ ํŽธ์ฐจ, ์•ž ์ชฝ์— ํ‘œ์‹œ๋  ์บ”๋“ค์˜ ์ˆ˜์™€ ์„ ์˜ ๋‘๊ป˜, ์ƒ‰์ƒ, ์ ์˜ ์ƒ‰์ƒ์„ ์ˆ˜์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ฐ ๋ณผ๋ฆฐ์ €๋ฐด๋“œ์˜ ์˜ˆ์ƒ ๊ฐ’์„ ์ธก์ •ํ•˜์—ฌ ํ‘œ์‹œํ•˜์˜€์Šต๋‹ˆ๋‹ค. input ๋ฉ”๋‰ด์˜ Predictive์—์„œ ํ‘œ์‹œ๋œ Predictive circle์˜ ๋‘๊ป˜์™€ ์ƒ‰์ƒ์„ ๋ณ€๊ฒฝํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
Pine Scriptยฎ indicator
by ParkF
3
Z-Score DeltaHeavily modified from Z Score by jwammo12 Compares the z-score of two assets, the onscreen one and the reference one configured. If you're familiar, you can think of it as Bollinger Band Percent of Onscreen Asset minus the Bollinger Band Percent of Reference Asset. It's compared off a simple moving average, due to how standard deviation is calculated. I view this a more literal meaning of relative strength. Has the ability to offset or delay in time one to another. TODO: add MAD and MAD/STD.DEV views Not my greatest work, but it's functional.
Pine Scriptยฎ indicator
by rieos
BB-RSI-ADX Entry PointsThis is a combination of indicators used to find oversold and overbought entry points for possible reversion. A Green arrow will appear when all condition are met for an ENTER LONG position. A Red arow will appear when all condition are met for an ENTER SHORT position. You can modify all of these condition parameters from the indicator's settings. How does the indicator work The signals are using Bollinger Bands , BB %B , RSI and ADX indicators to try and find points of reversal Enter LONG Conditions Current candle low is below BB lower band. The BB %B is more than 0. RSI > 30 ADX > 25 Enter SHORT Conditions Current candle high is above BB upper band. The BB %B is less than 1. RSI < 70 ADX > 25 Those are the default settings that seem to work for me but you can customize all of these from the indicator settings. I find this strategy to best work on a 3 minute timeframe Note: The bb %B is calculated for stDev - 1. This will help you see a change happening faster.
Pine Scriptยฎ indicator
by frixou89
2
QQE MOD + SSL Hybrid + Waddah Attar ExplosionTRADE CONDITIONS Long entry: QQE Mod changes to Blue (leading indicator) SSL Hybrid is Blue and price is above MA Channel line Waddah Attar Explosion is Green and above Explosion line Short entry: QQE Mod changes to Red (leading indicator) SSL Hybrid is Red and price is below MA Channel line Waddah Attar Explosion is Red and above Explosion line Risk management: Each trade risks 2% of account (configurable in settings) SL size determined by swing low/high of previous X candles (configurable in settings) TP is triggered on SSL Hybrid EXIT arrow signals TIPS Timeframe: Personally I've found best results running this on 1H timeframe. Note: To help visual identification of trade entries and exits you may wish to add the SSL Hybrid and Waddah Attar Explosion to the chart separately. They are being used to determine trade entry/exit within the code of this strategy but it was not possible to display them in a clear way within a single panel. Make sure you set the settings of the auxiliary indicators to match what is in the settings of this indicator if you do decide to add them. CREDITS QQE MOD byMihkel00 SSL Hybrid by Mihkel00 Waddah Attar Explosion by shayankm
Pine Scriptยฎ strategy
by kevinmck100
82
BB + RSI double strategy developeI'm Korean, and it may not be enough to explain this script in English. I feel sorry for the users of TradingView for this lack of English skills. If you are Korean, please return it to the translator using Papago. It will be a useful manual for you. This script referenced Chartart's Double Strategy. But there are some changes in his script. 0. Basically, when you break through the top or bottom of the 100th period balliser band and come back into the band, you track the overbuying and overselling of the RSI to determine your position entry. The order is triggered only when both conditions are satisfied at the same time. However, only one condition applies to clearing the position. This is because it is most effective in reducing risk and increasing assets in terms of profit and loss. 1. This script is optimized for 15 minutes of bitcoin futures chart and API via webbook alert. By default, 10x leverage usage and 10 pyramids are applied. 2. Setting a chart period other than 15 minutes will not guarantee sufficient effectiveness. It can also be applied to Ethereum , but it is not recommended to apply to other symbols. 3. I added Enable Date Filter because Chartart's script could not apply the strategy to the user's desired period. This feature allows you to set a period of time when you do not want to use the strategy. You can also uncheck it if you don't want to fully use this feature. Please remember that it is an exclusion period, not a usage period. With this feature, we can see the effectiveness of the strategy from a point in time, not from the entire period. You can also clearly differentiate the effectiveness of the strategy from the point you use it. 4. You can also stop using strategies at certain times of the day when you don't want to apply them. This works similarly to the Enalbe Date Filter described above. This allows you to sleep comfortably even if you don't fully trust this strategy. 5. The period, overbuying, and overselling figures of RSI can be set individually. For example, when you take a long position, you can set the RSI to a period of 7, and at the same time, the RSI entering the short position can be set to a period of 14. You can also set the base figures for overbuying and overselling to levels that you think are reasonable. This figure works in conjunction with the Bollinger Band and affects position entry when it is crossed or returned. 6. Based on API futures trading, basic Sleepy and commission are applied. This is geared towards market price transactions. This makes your revenue look more reasonable. Thank you very much, Chartart. You are a genius. - ์ €๋Š” ํ•œ๊ตญ์ธ์ด๊ณ , ์˜์–ด๋กœ ์ด ์Šคํฌ๋ฆฝํŠธ๋ฅผ ์„ค๋ช…ํ•˜๋Š” ๊ฒƒ์ด ์–ด๋ ต๊ธฐ ๋•Œ๋ฌธ์— ์„ค๋ช…์ด ๋ถ€์กฑํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฐ ์˜์–ด ๋Šฅ๋ ฅ ๋ถ€์กฑ์— ๋Œ€ํ•ด์„œ TradingView ์‚ฌ์šฉ์ž๋“ค์—๊ฒŒ ๋ฏธ์•ˆํ•˜๊ฒŒ ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค. ๋งŒ์•ฝ ๋‹น์‹ ์ด ํ•œ๊ตญ์ธ์ด๋ผ๋ฉด ํŒŒํŒŒ๊ณ ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ฒˆ์—ญ๊ธฐ์— ๋Œ๋ ค์ฃผ์‹ญ์‹œ์˜ค. ๋‹น์‹ ์—๊ฒŒ ์œ ์ตํ•œ ์„ค๋ช…์„œ๊ฐ€ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด ์Šคํฌ๋ฆฝํŠธ๋Š” Chart art์˜ Double Strategy๋ฅผ ์ฐธ์กฐํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ทธ์˜ ์Šคํฌ๋ฆฝํŠธ์—์„œ ๋‹ฌ๋ผ์ง„ ์ ์ด ๋ช‡ ๊ฐ€์ง€ ์žˆ์Šต๋‹ˆ๋‹ค. 0. ๊ธฐ๋ณธ์ ์œผ๋กœ 100๊ธฐ๊ฐ„์˜ ๋ณผ๋ฆฐ์ ธ๋ฐด๋“œ์˜ ์ƒ๋‹จ ๋˜๋Š” ํ•˜๋‹จ์„ ๋ŒํŒŒํ•œ ๋’ค ๋‹ค์‹œ ๋ฐด๋“œ ์•ˆ์œผ๋กœ ๋“ค์–ด์˜ฌ ๋•Œ RSI์˜ ๊ณผ๋งค์ˆ˜, ๊ณผ๋งค๋„๋ฅผ ์ถ”์ ํ•˜์—ฌ ํฌ์ง€์…˜ ์ง„์ž…์„ ๊ฒฐ์ •ํ•ฉ๋‹ˆ๋‹ค. ๋‘ ๊ฐ€์ง€ ์กฐ๊ฑด์ด ๋™์‹œ์— ๋งŒ์กฑ๋˜์–ด์•ผ๋งŒ ์ฃผ๋ฌธ์ด ํŠธ๋ฆฌ๊ฑฐ ๋ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํฌ์ง€์…˜์„ ์ฒญ์‚ฐํ•˜๋Š” ๊ฒƒ์—๋Š” ๋ณผ๋ฆฐ์ ธ๋ฐด๋“œ ํ•˜๋‚˜์˜ ์กฐ๊ฑด๋งŒ ์ ์šฉํ•ฉ๋‹ˆ๋‹ค. ์—ฌ๋Ÿฌ๊ฐ€์ง€ ํ…Œ์ŠคํŠธ๋ฅผ ๊ฑฐ์นœ ๊ฒฐ๊ณผ ์ด๊ฒƒ์ด ์†์ต ๋ฉด์—์„œ ๊ฐ€์žฅ ํšจ๊ณผ์ ์œผ๋กœ ๋ฆฌ์Šคํฌ๋ฅผ ์ค„์ด๊ณ  ์ž์‚ฐ์„ ๋Š˜๋ฆฌ๋Š” ๊ฒƒ์— ํšจ์œจ์ ์ด๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. 1. ์ด ์Šคํฌ๋ฆฝํŠธ๋Š” 15๋ถ„์˜ ๋น„ํŠธ์ฝ”์ธ ์„ ๋ฌผ ์ฐจํŠธ์™€ webhook alert์„ ํ†ตํ•œ API์— ์ตœ์ ํ™”๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ๊ธฐ๋ณธ์ ์œผ๋กœ 10๋ฐฐ์˜ ๋ ˆ๋ฒ„๋ฆฌ์ง€ ์‚ฌ์šฉ๊ณผ 10๊ฐœ์˜ ํ”ผ๋ผ๋ฏธ๋”ฉ์ด ์ ์šฉ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. 2. 15๋ถ„ ์™ธ์— ๋‹ค๋ฅธ ์ฐจํŠธ ๊ธฐ๊ฐ„์„ ์„ค์ •ํ•œ๋‹ค๋ฉด ์ถฉ๋ถ„ํ•œ ํšจ๊ณผ๋ฅผ ๋ณด์žฅํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ ์ด๋”๋ฆฌ์›€์—๋„ ์ ์šฉํ•  ์ˆ˜ ์žˆ์ง€๋งŒ, ๊ทธ ์™ธ์— ๋‹ค๋ฅธ ์‹ฌ๋ณผ์—๋Š” ์ ์šฉํ•˜์ง€ ์•Š๋Š” ๊ฒƒ์„ ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค. 3. Chart art์˜ ์Šคํฌ๋ฆฝํŠธ๋Š” ์ „๋žต์„ ์‚ฌ์šฉ์ž๊ฐ€ ์›ํ•˜๋Š” ๊ธฐ๊ฐ„์— ์ ์šฉํ•  ์ˆ˜ ์—†์—ˆ๊ธฐ ๋•Œ๋ฌธ์—, ์ €๋Š” Enable Date Filter๋ฅผ ์ถ”๊ฐ€ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด ๊ธฐ๋Šฅ์„ ํ†ตํ•ด ์ „๋žต ์‚ฌ์šฉ์„ ์›ํ•˜์ง€ ์•Š๋Š” ๊ธฐ๊ฐ„์„ ์„ค์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ ์ด ๊ธฐ๋Šฅ์„ ์™„์ „ํžˆ ์‚ฌ์šฉํ•˜๊ณ ์‹ถ์ง€ ์•Š๋‹ค๋ฉด ์ฒดํฌ๋ฅผ ํ•ด์ œํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‚ฌ์šฉ ๊ธฐ๊ฐ„์ด ์•„๋‹Œ ์ œ์™ธ ๊ธฐ๊ฐ„์ธ ์ ์„ ์ƒ๊ธฐํ•˜์‹œ๊ธธ ๋ฐ”๋ž๋‹ˆ๋‹ค. ์ด ๊ธฐ๋Šฅ์„ ํ†ตํ•ด ์šฐ๋ฆฌ๋Š” ์ „์ฒด ๊ธฐ๊ฐ„์ด ์•„๋‹Œ ๊ฐ€๊นŒ์šด ํŠน์ • ์‹œ์ ๋ถ€ํ„ฐ์˜ ์ „๋žต ์ ์šฉ ํšจ๊ณผ๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ ์‚ฌ์šฉ์ž๊ฐ€ ์ „๋žต์„ ์‚ฌ์šฉํ•œ ์‹œ์ ๋ถ€ํ„ฐ์˜ ํšจ๊ณผ๋ฅผ ๋ช…๋ฐฑํžˆ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 4. ๋˜ํ•œ ์‚ฌ์šฉ์ž๊ฐ€ ์ ์šฉ์„ ์›ํ•˜์ง€ ์•Š๋Š” ํ•˜๋ฃจ ์ค‘์˜ ํŠน์ • ์‹œ๊ฐ„๋Œ€์— ์ „๋žต ์‚ฌ์šฉ์„ ๋ฉˆ์ถœ ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์œ„์— ์„ค๋ช…ํ•œ Enalbe Date Filter์™€ ์œ ์‚ฌํ•˜๊ฒŒ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋‹น์‹ ์ด ์˜จ์ „ํžˆ ์ด ์ „๋žต์„ ์‹ ๋ขฐํ•˜์ง€ ๋ชปํ•˜์—ฌ๋„ ๋‹น์‹ ์€ ๋งˆ์Œ ํŽธํ•˜๊ฒŒ ์ž ์— ๋“ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 5. RSI์˜ ๊ธฐ๊ฐ„ ๋ฐ ๊ณผ๋งค์ˆ˜, ๊ณผ๋งค๋„ ์ˆ˜์น˜๋ฅผ ๊ฐœ๋ณ„์ ์œผ๋กœ ์„ค์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด ๋‹น์‹ ์ด ๋กฑ ํฌ์ง€์…˜์„ ์ทจํ•  ๋•Œ์—๋Š” RSI๋ฅผ 7์˜ ๊ธฐ๊ฐ„์œผ๋กœ ์„ค์ •ํ•  ์ˆ˜ ์žˆ๊ณ , ๋™์‹œ์— ์ˆ ํฌ์ง€์…˜์„ ์ง„์ž…ํ•˜๋Š” RSI๋Š” 14์˜ ๊ธฐ๊ฐ„์œผ๋กœ ์„ค์ •๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ ๊ณผ๋งค์ˆ˜ ๋ฐ ๊ณผ๋งค๋„์˜ ๊ธฐ์ค€ ์ˆ˜์น˜๋ฅผ ๋‹น์‹ ์ด ํ•ฉ๋ฆฌ์ ์ด๋ผ๊ณ  ์ƒ๊ฐํ•˜๋Š” ์ˆ˜์ค€์œผ๋กœ ์„ค์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์ˆ˜์น˜๋Š” ๋ณผ๋ฆฐ์ ธ๋ฐด๋“œ์™€ ํ•จ๊ป˜ ์ž‘๋™ํ•˜์—ฌ ๊ทธ๊ฒƒ์„ ๋„˜์–ด์„œ๊ฑฐ๋‚˜ ๋‹ค์‹œ ๋˜๋Œ์•„์˜ฌ ๋•Œ ํฌ์ง€์…˜ ์ง„์ž…์— ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค. 6. API ์„ ๋ฌผ๊ฑฐ๋ž˜๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ•˜์—ฌ ๊ธฐ๋ณธ์ ์ธ ์Šฌ๋ฆฌํ”ผ์ง€์™€ ์ปค๋ฏธ์…˜์ด ์ ์šฉ๋˜์–ด์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์‹œ์žฅ๊ฐ€ ๊ฑฐ๋ž˜์— ๋งž์ถฐ์ ธ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋‹น์‹ ์˜ ์ˆ˜์ต์„ ์ข€ ๋” ํ•ฉ๋ฆฌ์ ์ธ ์ˆ˜์น˜๋กœ ๋ณด์ผ ์ˆ˜ ์žˆ๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. Chartart์—๊ฒŒ ํŠน๋ณ„ํžˆ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ๋‹น์‹ ์€ ์ฒœ์žฌ์ž…๋‹ˆ๋‹ค.
Pine Scriptยฎ strategy
by NNYG
11
Is the Bollinger Bands assumption wrong?Bollinger Bands are the result of the assumption that closing prices will follow a normal distribution. However, when I actually calculated the probability, the closing price does not follow a normal distribution. According to the normal distribution, the probability that Z > 2 should be 2.2%, but on the chart, the probability is 6~9%. Can we get a useful value for Bollinger Bands that we can use in our strategy? We can measure volatility, but can we judge volatility based on a fixed value? To the right of each Bollinger band value, the probability that the price is above the band is displayed. The script is simply annotated with how each probability is calculated.
Pine Scriptยฎ indicator
by Dicargo_Beam
3
EMA bands + leledc + bollinger bands trend following strategy v2The basics: In its simplest form, this strategy is a positional trend following strategy which enters long when price breaks out above "middle" EMA bands and closes or flips short when price breaks down below "middle" EMA bands. The top and bottom of the middle EMA bands are calculated from the EMA of candle highs and lows, respectively. The idea is that entering trades on breakouts of the high EMAs and low EMAs rather than the typical EMA based on candle closes gives a bit more confirmation of trend strength and minimizes getting chopped up. To further reduce getting chopped up, the strategy defaults to close on crossing the opposite EMA band (ie. long on break above high EMA middle band and close below low EMA middle band). This strategy works on all markets on all timeframes, but as a trend following strategy it works best on markets prone to trending such as crypto and tech stocks. On lower timeframes, longer EMAs tend to work best (I've found good results on EMA lengths even has high up to 1000), while 4H charts and above tend to work better with EMA lengths 21 and below. As an added filter to confirm the trend, a second EMA can be used. Inputting a slower EMA filter can ensure trades are entered in accordance with longer term trends, inputting a faster EMA filter can act as confirmation of breakout strength. Bar coloring can be enabled to quickly visually identify a trend's direction for confluence with other indicators or strategies. The goods: Waiting for the trend to flip before closing a trade (especially when a longer base EMA is used) often leaves money on the table. This script combines a number of ways to identify when a trend is exhausted for backtesting the best early exits. "Delayed bars inside middle bands" - When a number of candle's in a row open and close between the middle EMA bands, it could be a sign the trend is weak, or that the breakout was not the start of a new trend. Selecting this will close out positions after a number of bars has passed "Leledc bars" - Originally introduced by glaz, this is a price action indicator that highlights a candle after a number of bars in a row close the same direction and result in greatest high/low over a period. It often triggers when a strong trend has paused before further continuation, or it marks the end of a trend. To mitigate closing on false Leledc signals, this strategy has two options: 1. Introducing requirement for increased volume on the Leledc bars can help filter out Leledc signals that happen mid trend. 2. Closing after a number of Leledc bars appear after position opens. These two options work great in isolation but don't perform well together in my testing. "Bollinger Bands exhaustion bars" - These bars are highlighted when price closes back inside the Bollinger Bands and RSI is within specified overbought/sold zones. The idea is that a trend is overextended when price trades beyond the Bollinger Bands. When price closes back inside the bands it's likely due for mean reversion back to the base EMA in which this strategy will ideally re-enter a position. Since the added RSI requirements often make this indicator too strict to trigger a large enough sample size to backtest, I've found it best to use "non-standard" settings for both the bands and the RSI as seen in the default settings. "Buy/Sell zones" - Similar to the idea behind using Bollinger Bands exhaustion bars as a closing signal. Instead of calculating off of standard deviations, the Buy/Sell zones are calculated off multiples of the middle EMA bands. When trading beyond these zones and subsequently failing back inside, price may be due for mean reversion back to the base EMA. No RSI filter is used for Buy/Sell zones. If any early close conditions are selected, it's often worth enabling trade re-entry on "middle EMA band bounce". Instead of waiting for a candle to close back inside the middle EMA bands, this feature will re-enter position on only a wick back into the middle bands as will sometimes happen when the trend is strong. Any and all of the early close conditions can be combined. Experimenting with these, I've found can result in less net profit but higher win-rates and sharpe ratios as less time is spent in trades. The deadly: The trend is your friend. But wouldn't it be nice to catch the trends early? In ranging markets (or when using slower base EMAs in this strategy), waiting for confirmation of a breakout of the EMA bands at best will cause you to miss half the move, at worst will result in getting consistently chopped up. Enabling "counter-trend" trades on this strategy will allow the strategy to enter positions on the opposite side of the EMA bands on either a Leledc bar or Bollinger Bands exhaustion bar. There is a filter requiring either a high/low (for Leledc) or open (for BB bars) outside the selected inner or outer Buy/Sell zone. There are also a number of different close conditions for the counter-trend trades to experiment with and backtest. There are two ways I've found best to use counter-trend trades 1. Mean reverting scalp trades when a trend is clearly overextended. Selecting from the first 5 counter-trend closing conditions on the dropdown list will usually close the trades out quickly, with less profit but less risk. 2. Trying to catch trends early. Selecting any of the close conditions below the first 5 can cause the strategy to behave as if it's entering into a new trend (from the wrong side). This feature can be deadly effective in profiting from every move price makes, or deadly to the strategy's PnL if not set correctly. Since counter-trend trades open opposite the middle bands, a stop-loss is recommended to reduce risk. If stop-losses for counter-trend trades are disabled, the strategy will hold a position open often until liquidation in a trending market if th trade is offsides. Note that using a slower base EMA makes counter-trend stop-losses even more necessary as it can reduce the effectiveness of the Buy/Sell zone filter for opening the trades as price can spend a long time trending outside the zones. If faster EMAs (34 and below) are used with "Inner" Buy/Zone filter selected, the first few closing conditions will often trigger almost immediately closing the trade at a loss. The niche: I've added a feature to default into longs or shorts. Enabling these with other features (aside from the basic long/short on EMA middle band breakout) tends to break the strategy one way or another. Enabling default long works to simulate trying to acquire more of the asset rather than the base currency. Enabling default short can have positive results for those high FDV, high inflation coins that go down-only for months at a time. Otherwise, I use default short as a hedge for coins that I hold and stake spot. I gain the utility and APR of staking while reducing the risk of holding the underlying asset by maintaining a net neutral position *most* of the time. Disclaimer: This script is intended for experimenting and backtesting different strategies around EMA bands. Use this script for your live trading at your own risk. I am a rookie coder, as such there may be errors in the code that cause the strategy to behave not as intended. As far as I can tell it doesn't repaint, but I cannot guarantee that it does not. That being said if there's any question, improvements, or errors you've found, drop a comment below!
Pine Scriptยฎ strategy
by readysetliqd
5
[Mad] Triple Bollinger Bands MTFThese are classic triple Bollinger bands with different multipliers You can change the time frame plotted, for example, you can show a 1-hour chart, but plot 6-hour Bollinger. Since I haven't found any other OpenSource variant that can plot the 3 bands in a different time frame, here is my script for you en.wikipedia.org ---- additional you can see in this script, how to move data around with arrays instead of multiple variables. This way you can cut down security calls to a minimum. (look at the transfer- and bollarray)
Pine Scriptยฎ indicator
by djmad
2
ARKA-Smoothed Z-ScoreThis Indicator is based on Mr. Dan Valcu ideas. The author of this article is Veronica Valcu. The z-score (z) for a data item x measures the distance (in standard deviations StdDev) and direction of the item from its mean (U): z = (x-StdDev) / U A value of zero indicates that the data item x is equal to the mean U, while positive or negative values show that the data item is above (x>U) or below (x Values of +2 and -2 show that the data item is two standard deviations above or below the chosen mean, respectively, and over 95.5% of all data items are contained within these two horizontal references. Based on the article and ideas about the z-score concept we can use it to get more confidence where we want to be sure this is an oversold or overbought zone. The indicator draws two levels on 2 and -2. Z-Score color comes red when it goes above 2, and the color changes to green when it goes below the -2 level. The Z-Score color which value is between 2 & -2 is gray. So far, this is the description of the indicator(ARKA-Z Score), which has been written separately and published for the public. In this indicator, we intend to smooth the value of Z-Score we get using moving averages. Z-score applied to close prices is an irregular curve that can be smoothed by applying moving averages. A simple three-day moving average has been applied to the z-score (20), and a simple five-day moving average is applied to the resulting average. Long opportunities were initiated when the three-day simple moving average crossed above the five-day simple moving average of the three-day simple moving average. Short opportunities were initiated when the three-day simple moving average crossed below the five-day simple moving average of the three-day simple moving average.
Pine Scriptยฎ indicator
by arndav
3EMA + Boullinger + PIVOTTRES EMAS + BANDAS DE BOLLINGER + PIVOTE INDICADOR 1: TRES EMAS (MEDIA MOVIL EXPONENCIAL) Con este indicador puede visualizar el promedio de precios con mayor peso a los datos mas recientes. Se calculan y dibujan tres medias moฬviles exponenciales: 8, 20 y 200 uฬltimas velas. -Raฬpida EMA1 = 8 -Media EMA2 = 20 -Lenta EMA 3 = 200 INDICADOR 2: BANDAS DE BOLLINGER Con este indicador podraฬ ver la fuerza y la tendencia del mercado, es decir la mide la volatilidad del precio del activo. Si el precio sobrepasa la banda superior, el activo estaฬ sobrecomprado. Si el precio sobrepasa la banda inferior, el activo estaฬ sobrevendido. Longitud tendencia - BASE = 20, paso = 1 Desviacioฬn Estaฬndar - Multiplicador = 2, paso = 0.2 INDICADOR 3: PIVOTE Este indicador etiqueta los puntos donde el precio es mรญnimo y mรกximo, en un rango de velas determinado en el parรกmetro "Distancia para el Pivote". Estos 3 indicadores sirven para todo tipo de activos: FOREX, CRIPTO, CFDยดs, ETC. ------------------------------------------------------------------------------------------------------------------ THREE EMAS + BOLLINGER BANDS + PIVOT INDICATOR 1: THREE EMAS ( EXPONENTIAL MOVING AVERAGE ) With this indicator you can visualize the average of prices with greater weight to the most recent data. Three exponential moving averages are calculated and drawn: 4, 20 and 200 last candles. -Fast EMA1 = 8 -Average EMA2 = 20 -Slow EMA 3 = 200 INDICATOR 2: BOLLINGER BANDS With this indicator you can see the strength and trend of the market, that is, it is measured by the volatility of the asset price. If the price goes above the upper band, the asset is overbought. If the price goes above the lower band, the asset is oversold. Trend length - BASE = 20, step = 1 Standard Deviation - Multiplier = 2, step = 0.2 INDICATOR 3: PIVOT This indicator labels the points where the price is minimum and maximum, in a range of candles determined in the parameter "Distance to Pivot". These 3 indicators are used for all types of assets: FOREX, CRYPT, CFD's, ETC.
Pine Scriptยฎ indicator
by JCMR76
15
ARKA-Z-ScoreThis Indicator is based on Mr. Dan Valcu ideas. The author of this article is Veronica Valcu. The z-score (z) for a data item x measures the distance (in standard deviations StdDev) and direction of the item from its mean (U): z = (x-StdDev) / U A value of zero indicates that the data item x is equal to the mean U, while positive or negative values show that the data item is above (x>U) or below (x Values of +2 and -2 show that the data item is two standard deviations above or below the chosen mean, respectively, and over 95.5% of all data items are contained within these two horizontal references. Based on the article and ideas about the z-score concept we can use it to get more confidence where we want to be sure this is an oversold or overbought zone. The indicator draws two levels on 2 and -2. Z-Score color comes red when it goes above 2, and the color changes to green when it goes below the -2 level. The Z-Score color which value is between 2 & -2 is gray.
Pine Scriptยฎ indicator
by arndav