Malaysia
2025-04-29 05:27
IndustryFeature Engineering
#CurrencyPairPrediction
Feature Engineering (Input Preparation)
Before you run the backtest, you must build the features your AI model will use, just as it would in live conditions.
Examples:
• Moving averages, RSI, MACD.
• Economic indicators (CPI surprise, unemployment rate).
• Lagged returns (yesterday’s return, etc.).
• Time-of-day features (session changes). Important: You must only use past and present information — never future information when calculating features. Otherwise, you would be “cheating” (this is called lookahead bias).
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Feature Engineering
#CurrencyPairPrediction
Feature Engineering (Input Preparation)
Before you run the backtest, you must build the features your AI model will use, just as it would in live conditions.
Examples:
• Moving averages, RSI, MACD.
• Economic indicators (CPI surprise, unemployment rate).
• Lagged returns (yesterday’s return, etc.).
• Time-of-day features (session changes). Important: You must only use past and present information — never future information when calculating features. Otherwise, you would be “cheating” (this is called lookahead bias).
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