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This article suggests the ways of improving manual trading strategy by applying fuzzy set theory. As an example we have provided a step-by-step description of the strategy search and the selection of its parameters, followed by fuzzy logic application to blur overly formal criteria for the market entry. This way, after strategy modification we obtain flexible conditions for opening a position that has a reasonable reaction to a market situation.
The trade strategy is based on three moving averages. To determine the trend, it uses three exponentially smoothed moving averages: FastEMA, MediumEMA and SlowEMA. Trade signals: Buy signal: FastEMA>MediumEMA>SlowEMA (upward trend). Sell signal: FastEMA<MediumEMA<SlowEMA (downward trend). Input parameters: Inp_Signal_ThreeEMA_FastPeriod = 8; Inp_Signal_ThreeEMA_MediumPeriod = 38; Inp_Signal_ThreeEMA_SlowPeriod = 48; Inp_Signal_ThreeEMA_StopLoss = 400; Inp_Signal_ThreeEMA_TakeProfit =
This article discusses how custom stop levels can be set up in a cross-platform expert advisor. It also discusses a closely-related method by which the evolution of a stop level over time can be defined.