No Lag Supertrend indicator improves upon the original supertrend by incorporating calculation methods that enhance responsiveness and accuracy. Traditional supertrend indicators often suffer from lag, which can delay signals and affect trading decisions. No Lag Supertrend addresses this issue through the use of KAMA (Kaufman’s Adaptive Moving Average) and Hull...

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카우프만의 어댑티브 무빙 애버리지 (KAMA) 는 페리 카우프만이 개발한 인텔리전트한 무빙 애버리지입니다. 이 파워풀한 트렌드 팔로잉 인디케이터는 익스포넨셜 무빙 애버리지 (EMA)를 기반으로 하며 트렌드와 볼래틸리티 모두에 반응성이 있습니다. 노이즈가 적을 때는 프라이스를 가까이 따르고 프라이스가 요동칠 때는 노이즈를 스무드 아웃해줍니다. 다른 모든 무빙 애버리지와 마찬가지로 KAMA 도 트렌드를 눈으로 볼 수 있게 해 줍니다. KAMA 를 뚫게 되면 방향성 변화가 있음을 나타냅니다. 프라이스 역시 KAMA 로 부터 튕길 수 있는데, 이는 다이내믹한 서포트/리지스턴스로써 작동할 수 있습니다. KAMA 는 다른 시그널 및 어낼리시스 테크닉과 조합하여 쓰곤 합니다.

"The Kaufman Adaptive Moving Average (KAMA) Strategy" is a trend-following system that leverages the adaptive qualities of the Kaufman Adaptive Moving Average (KAMA). This strategy is distinguished by its ability to adjust dynamically to market volatility, enhancing trading accuracy by minimizing the effects of false and delayed signals often associated with the...

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█ OVERVIEW TASC's January 2024 edition of Traders' Tips features an article titled “Gap Momentum” by Perry J. Kaufman. The article discusses how a trader might create a momentum strategy based on opening gap data. This script implements the Gap Momentum system presented therein. █ CONCEPTS In the article, Perry J. Kaufman introduces Gap Momentum as a...

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The Kaufman Efficiency Ratio (also known as the Efficiency Ratio or ER) is a technical indicator used in technical analysis to measure the efficiency of a financial instrument's price movement. It was developed by Perry J. Kaufman and is designed to help traders and analysts identify the trendiness or choppiness of a market. The Kaufman Efficiency Ratio is...

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The Volume-Weighted Kaufman's Adaptive Moving Average (VW-KAMA) is a technical indicator that combines the Volume-Weighted Moving Average (VWMA) and the Kaufman's Adaptive Moving Average (KAMA) to create a more responsive and adaptable moving average. Advantages: Volume-Weighted: It takes into account the volume of trades, giving more weight to periods with...

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Hello I would like to introduce a very simple strategy that uses a combination of 3 simple moving averages ( SMA 4 , SMA 9 , SMA 18 ) this is a classic combination showing the most probable trend directions Crosses were marked on the basis of the color of the candles (bulish cross - blue / bearish cross - maroon) ma 100 was used to determine the main trend,...

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█ Description An adaptive indicator could be defined as market conditions following indicator, in summary, the parameter of the indicator would be adjusted to fit its optimum value to the current price action. KAMA, Kaufman's Adaptive Moving Average, an adaptive trendline indicator developed by Perry J. Kaufman, with the notion of using the fastest trend...

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Dr. Scott Cong's new adaptation of an adaptive moving average (AMA), featured in TASC March 2023. It adjusts its parameters automatically according to the volatility of market, tracking price closely in trending movement, staying flat in congestion areas. Perry Kaufman’s adaptive moving average, first described in his 1995 book Smarter Trading, is a great...

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The New Adaptive Moving Average was created by Scott Cong (Stocks and Commodities Mar 2023) and this is a companion indicator to my previous script . This indicator still works off of the same concept as before with effort vs results but this indicator takes a slightly different approach and instead defines results as the absolute difference between the closing...

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The New Adaptive Moving Average was created by Scott Cong (Stocks and Commodities Mar 2023) and his idea was to focus on the Adaptive Moving Average created by Perry Kaufman and to try to improve it by introducing a concept of effort vs results. In this case the effort would be the total range of the underlying price action since each bar is essentially a war of...

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Introduction Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it. KAMA: Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively...

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As simple as it gets, channels based on high, low and ATR distances, Shows possible short term support / resistance or can be used as a take profit/stop-loss in some trading systems. It does this by comparing high/low values of price to multiplied by a multiple of ATR to determine when the trend changes. States are included to change the sensitivity to trend...

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TLDR: This is a long only trend following system that uses highest and lowest values of three trend following indicators to form a "cloud". Enter when the candle high crosses above the highest band. Close if the low or close crosses below the lowest band. 3 indicators 1. Kaufman Adaptive moving Average - set at 20 2. Hull Moving Average (of the Kaufman Adaptive...

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JFD-Adaptive, GKYZ-Filtered KAMA is a Kaufman Adaptive Moving Average with the option to make it Jurik Fractal Dimension Adaptive. This also includes a Garman-Klass-Yang-Zhang Historical Volatility Filter to reduce noise. What is KAMA? Developed by Perry Kaufman, Kaufman's Adaptive Moving Average ( KAMA ) is a moving average designed to account for market...

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STD-Filtered, Adaptive Exponential Hull Moving Average is a Kaufman Efficiency Ratio Adaptive Hull Moving Average that uses EMA instead of WMA for its computation. I've also added standard deviation stepping to further smooth the signal. Using EMA instead of WMA turns the Hull into what's called the AEHMA. You can read more about the EHMA here:...

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Adaptive Deviation is an educational/conceptual indicator that is a new spin on the regular old standard deviation. By definition, the Standard Deviation (STD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values. In technical analysis we usually...

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The Adaptive Rebound Line (ARL) focuses on the rebound of price action according to the trend. While it does not focus on showing the trend, it does help in anticipating price rebounds. It achieves this by adapting quickly and by reducing lag. It is recommended to use this with a trend-identifying indicator. It was inspired by the Hull Moving Average and the...

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Average True Range (ATR) is widely used indicator in many occasions for technical analysis. It is calculated as the RMA of true range. This version adds a "twist": it uses Perry Kaufman's Efficiency Ratio to calculate adaptive true range You can use this indicator the same way you'd use the standard ATR.

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