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: Expert evaluations suggest that the most "accurate" signals are those supported by confluence —where 3 to 4 independent categories (trend, momentum, volatility, and macro factors) all point to the same direction . Top Research Sources

(University of Sydney): Investigates LSTM and pre-trained models like TradingBERT .

: A study on hourly EUR/USD directional forecasting achieved 58.5% mean out-of-sample accuracy , emphasizing that "temporal misalignment" between a signal and a trade often ruins profitability . Machine Learning Performance :

(ResearchGate): Compares MLP, SARIMA, and Prophet models for directional accuracy .

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