Exp_FisherTransform_X2

The core strategy of this EA is based on a dual-timeframe confirmation signal system using the Fisher Transform indicator. The Fisher Transform converts price probability distributions into approximately Gaussian distributions, producing sharp crossover signals with fewer false triggers compared to traditional oscillators. Entry conditions require concurrent confirmation from both a fast and slow timeframe Fisher Transform — a long position is opened when both timeframes show an upward crossover, and a short position when both show a downward crossover. This multi-timeframe filtering mechanism significantly reduces erroneous trades caused by single-timeframe false signals. Exit conditions rely on the faster timeframe Fisher Transform generating an opposing crossover signal, closing positions when the fast-period signal reverses against the held position. Position sizing uses a fixed lot size specified by the user via input parameter, without any dynamic adjustment mechanism based on account equity or volatility. Money management provides stop-loss and take-profit parameters, but these depend on user experience rather than an adaptive algorithm. The overall strategy falls under mean reversion, as the Fisher Transform crossovers at extreme values inherently capture price movements returning from overbought or oversold states toward the mean.