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Historical model backtesting

Walk-forward evaluation compares a simple historical-frequency selection with a random five-number control. Each test draw is evaluated using only records that precede it in the ordered dataset.

This is a simple research baseline, not a validated predictive edge. The current implementation tests a frequency-ranked line against a random line; it does not optimize parameters or prove statistical significance. Larger and carefully designed tests are needed before drawing conclusions.