The case for Fuzzy Logic in Trading – Pt. 2: Amibroker

Backtesting Fuzzy Logic in Amibroker In pt.1 we backtested a “fuzzified” trading strategy in Matlab (read part 1): Buy when RSI(3) is Low and it’s before Expiration week. Although it was easy to develop this fuzzy model in Matlab, due to the intuitive GUI, it is difficult to get meaningful backtest results, visual signals, statistics …

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7 Winning Trading Systems Reviewed – 3 Day High/Low

Back in 2009 Larry Connors and Cesar Alvarez published several short term trading systems in their book “High Probability ETF Trading”. They described 7 mean reverting strategies. What happens, then once a strategy becomes public domain? Do they loose their edge?All tests are performed on a set of 20 ETFs:DIA,EEM,EFA,EWH,EWJ,EWT,EWZ,FXI,GLD,ILF,IWM,IYR,QQQQ,SPY,XHB,XLB,XLE,XLF,XLI,XLVTthe strategy can hold  up to 10 ETFs …

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Matlab for Amibroker Users – Backtesting Functions for Matlab

The point of this post is to provide some basic functions to non professional Matlab users that may help backtest a simple long only system the way Amibroker (and  most other software) backtest. If you are an Amibroker user you are used to something this easy: sma9=ma(close,9); sma21=ma(close,21); buy=Cross(sma9,sma21);   sell=Cross(sma21,sma9);  Wish you could do …

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