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Combining Signals for Effective Forecasting and Risk Management
By combining multiple signals and analyzing them across different timeframes, a distribution is created that is more predictive at the extremes rather than the middle. This method helps turn signals with S-shaped predictive characteristics into effective forecasting tools. Risk management is crucial in trading programs, and understanding the difference between good and bad ideas is key for discretionary traders.