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Dynamically Adjustable Moving AverageIntroduction The Dynamically Adjustable Moving Average (AMA) is an adaptive moving average proposed by Jacinta Chan Phooi M’ng (1) originally provided to forecast Asian Tiger's futures markets. AMA adjust to market condition in order to avoid whipsaw trades as well as entering the trending market earlier. This moving average showed better results than classical methods (SMA20, EMA20, MAC, MACD, KAMA, OptSMA) using a classical crossover/under strategy in Asian Tiger's futures from 2014 to 2015. Dynamically Adjustable Moving Average AMA adjust to market condition using a non-exponential method, which in itself is not common, AMA is described as follow : 1/v * sum(close,v) where v = σ/√σ σ is the price standard deviation. v is defined as the Efficacy Ratio (not be confounded with the Efficiency Ratio) . As you can see v determine the moving average period, you could resume the formula in pine with sma(close,v) but in pine its not possible to use the function sma with variables for length, however you can derive sma using cumulation. sma ≈ d/length where d = c - c_length and c = cum(close) So a moving average can be expressed as the difference of the cumulated price by the cumulated price length period back, this difference is then divided by length. The length period of the indicator should be short since rounded version of v tend to become less variables thus providing less adaptive results. AMA in Forex Market In 2014/2015 Major Forex currencies where more persistent than Asian Tiger's Futures (2) , also most traded currency pairs tend to have a strong long-term positive autocorrelation so AMA could have in theory provided good results if we only focus on the long term dependency. AMA has been tested with ASEAN-5 Currencies (3) and still showed good results, however forex is still a tricky market, also there is zero proof that switching to a long term moving average during ranging market avoid whipsaw trades (if you have a paper who prove it please pm me) . Conclusion An interesting indicator, however the idea behind it is far from being optimal, so far most adaptive methods tend to focus more in adapting themselves to market complexity than volatility. An interesting approach would have been to determine the validity of a signal by checking the efficacy ratio at time t . Backtesting could be a good way to see if the indicator is still performing well. References (1) J.C.P. M’ng, Dynamically adjustable moving average (AMA’) technical analysis indicator to forecast Asian Tigers’ futures markets, Physica A (2018), doi.org (2) www.researchgate.net (3) www.ncbi.nlm.nih.gov
Indicatore Pine Script®
di alexgrover
15
Fibo Guppy Multi MA RevisedThis is Guppy MA i customized for myself based on two scripts of GMMA from JustUncleL and NeoButane. Its features are: 1. Besides standard EMA you can chose all kinds of exotic moving average types ike ALMA (my favorite), HullMA, ZeroLag EMA, VWMA, KAMA etc... 2. Two types of coloring scheme - depends on volatility try one that's best fit. 3. Multiple sets of predefined lengths: standard Guppy 3-60, Fibonacci based lengths 3-610, Fibo 5-987 and Custom (user defined lengths)
Indicatore Pine Script®
di Spiralman
TDI @ByPuppyTherapySimilar to my last TDI but was made with the ability to select different bases for both EMAs / BBs. Only viable bases as far as i have seen are SMA / EMA / KAMA the rest would need much more research. tradingstrategyguides.com Mainly graphical changes for my layout + added coloring for all signals that came to my mind. TEMA / Sentiment crossovers seems to be working a bit better than EMA. I will update it with more usefull stuff late after i see its performance trading.
Indicatore Pine Script®
di QuantTherapy
8
Index Adaptive Keltner Channels [DW]This study is an experiment in adaptive filtering. The process in this study was inspired by KAMA and ZLEMA filtering techniques. First, data is given an optional modification for lag reduction. Then, an adaptive filter of your choice is calculated. There are 6 different adaptive filters to choose from in this study: -Commodity Channel Index Adaptive Moving Average (CCIAMA) -Relative Strength Index Adaptive Moving Average (RSIAMA) -%R Adaptive Moving Average (%RAMA) -Klinger Volume Oscillator Adaptive Moving Average (KVOAMA) -Money Flow Index Adaptive Moving Average (MFIAMA) -Correlation Coefficient Adaptive Moving Average (CCAMA) Next, ATR is calculated using the specified adaptive filter. A set of ranges is calculated by multiplying ATR by the square root of the sampling period, then dividing it by 2 and 4. And Finally, the ranges are added to and subtracted from the adaptive filter to generate the channels. Custom bar colors are included. The formula for the color scheme is based on filter direction and price.
Indicatore Pine Script®
di DonovanWall
10
Noro's MAs Tests v1.1Trade strategy from one moving average. To choose what sliding average it is more effective to use for this pair and this timeframe. Types: 1 = SMA = Simple Moving Average 2 = EMA = Exponential Moving Average 3 = VWMA = Volume-Weighted Moving Average 4 = DEMA = Double Exponential Moving Average 5 = TEMA = Triple Exponential Moving Average 6 = KAMA = Kaufman's Adaptive Moving Average 7 = Price Channel In new version 1.1: + "antipila" + longs + shorts
Strategia Pine Script®
di ROBO_Trading
Noro's Trend MAs Strategy v1.7Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any Type of slow MA = 7 (only for Crypto/Fiat) Source of slow MA = close or OHLC4 Use Fast MA = true Fast MA Period = 5 Slow MA Period = 20 Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat") In the new version 1.7 + stoporders + entry arrow (black) Types of slow MA: 1 = SMA = Simple Moving Average 2 = EMA = Exponential Moving Average 3 = VWMA = Volume-Weighted Moving Average 4 = DEMA = Double Exponential Moving Average 5 = TEMA = Triple Exponential Moving Average 6 = KAMA = Kaufman's Adaptive Moving Average 7 = Price Channel
Strategia Pine Script®
di ROBO_Trading
Noro's Trend MAs Strategy v1.6Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Type of slow MA = 7 (only for Crypto/Fiat) Source of slow MA = close or OHLC4 Use Fast MA = true Fast MA Period = 5 Slow MA Period = 20 Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat") In the new version 1.5 + Profit became more + Losses became less + Alerts + Background (lime = uptrend, red = downtrend) Types of slow MA: 1 = SMA = Simple Moving Average 2 = EMA = Exponential Moving Average 3 = VWMA = Volume-Weighted Moving Average 4 = DEMA = Double Exponential Moving Average 5 = TEMA = Triple Exponential Moving Average 6 = KAMA = Kaufman's Adaptive Moving Average 7 = Price Channel
Strategia Pine Script®
di ROBO_Trading
4
Noro's Trend MAs Strategy 1.5Trade strategy which uses only 2 MA . The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Type of slow MA = 7 (only for Crypto/Fiat) Source of slow MA = clole or OHLC4 Use Fast MA = true Fast MA Period = 5 Slow MA Period = 20 Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat") In the new version 1.5 + Source + Types of slow MA Types of slow MA: 1 = SMA = Simple Moving Average 2 = EMA = Exponential Moving Average 3 = VWMA = Volume-Weighted Moving Average 4 = DEMA = Double Exponential Moving Average 5 = TEMA = Triple Exponential Moving Average 6 = KAMA = Kaufman's Adaptive Moving Average 7 = Price Channel PS: 100000000%, because of use of a piramiding have turned out
Strategia Pine Script®
di ROBO_Trading
Dynamic Range Channel [DW]This is an experimental study that utilizes Kaufman's Adaptive Moving Average and the McGinley Dynamic. First, a fast and slow KAMA based McGinley Dynamic are calculated. The divergence between them is used to indicate wave direction. The channel's bounds are calculated by taking the highest high and lowest low of the slow McGinley Dynamic over a specified channel period. The dynamic midline is calculated by taking the mean of the highest and lowest values over the specified channel period. Custom bar colors are included. Also includes Williams Fractals for additional confirmation signals.
Indicatore Pine Script®
di DonovanWall
7
Kaufman Moving Average Adaptive (KAMA) Backtest Everyone wants a short-term, fast trading trend that works without large losses. That combination does not exist. But it is possible to have fast trading trends in which one must get in or out of the market quickly, but these have the distinct disadvantage of being whipsawed by market noise when the market is volatile in a sideways trending market. During these periods, the trader is jumping in and out of positions with no profit-making trend in sight. In an attempt to overcome the problem of noise and still be able to get closer to the actual change of the trend, Kaufman developed an indicator that adapts to market movement. This indicator, an adaptive moving average (AMA), moves very slowly when markets are moving sideways but moves swiftly when the markets also move swiftly, change directions or break out of a trading range. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Strategia Pine Script®
di HPotter
1
Variable Moving Average Bands [LazyBear]VMA Bands are ATR bands with VMA as its centre. For a description of options, refer to my VMA post: I have moved VMA calculation in to a separate function. Feel free to use calc_vma() in your scripts. For more MA calculation function (KAMA, VIDYA and others), refer to my complete list of indicators below. Wish you all a very prosperous New year. Hope these indicators make you all more money this year too :) List of my other indicators: - GDoc: docs.google.com - Chart:
Indicatore Pine Script®
di LazyBear
13