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스크립트가 마음에 드시나요? MetaTrader 5 터미널에서 시도해보십시오
- 조회수:
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- 게시됨:
- 2018.06.16 09:56
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이 코드를 기반으로 한 로봇이나 지표가 필요하신가요? 프리랜스로 주문하세요 프리랜스로 이동
The Kaufman Adaptive Moving Average is a version of the adaptive moving average based on the exponentially smoothed moving average combined with the original methods of detecting and applying volatility as a dynamically changing smoothing constant.
Indicator named Adaptive Moving Average was developed by Perry J. Kaufman and primarily presented in his book titled Smarter Trading: Improving Performance in Changing Markets in 1995.
The indicator has two input parameters:
- Period - calculation period;
- Applied price - price used for calculations.
Calculations:
KAMA[i] = KAMA[i-1] + sc * (Price[i] - KAMA[i-1])
where:
sc = (er * 0.6015 + 0.0645) * (er * 0.6015 + 0.0645), er = Abs(Price[i] - Price[i-Period+1]) / Sum1, and Sum1 = Sum(Abs(Price[i] - Price[i-1])) from (i-Period+1) to i
MetaQuotes Ltd에서 러시아어로 번역함.
원본 코드: https://www.mql5.com/ru/code/20502

The EA waits for the price to pass XXX points within NNN ticks.

The Expert Advisor searches for N identical candlesticks in a row. It buys on bullish candlesticks and sells on bearish ones. The account type is taken into consideration, i.e., whether it is a netting or a hedging one.

Smoothed Stochastic Inverse Fisher Transform.

Indicator of volumes accumulated.