Backtest Results

Walk-forward validated backtest results across 0 cryptocurrencies. Powered by the Omniscius machine-learning engine, the v6.2 (Pythia) production model evaluates 7,700+ candidate features per coin and lets per-coin permutation tests decide which signals survive into the live model: significant features pass through, pure noise is filtered out automatically. Signal-aware exits stay aligned with model conviction, and every result is leak-audited and validated through walk-forward testing across 3 Bitcoin halving cycles (2017-2026).