Developer claims AI-driven backtesting framework generated 10.26x return ($50K → $513K) YTD across ~390 strategy iterations.
Key metrics:
• Max drawdown: 37.4% from peak
• Zero negative months (backtested)
• 9 base strategies, 40+ parameter combinations validated
Risk flags:
• Pure backtest — zero live performance data
• No strategy details, asset class, or timeframe disclosed
• 37.4% drawdown is institutional pain threshold; retail would capitulate
• Overfitting risk high with 390+ tested strategies
Next steps:
• Live deployment planned with personal capital
• Public dashboard promised post-deployment
• No software access until Q1 2026 at earliest
Hardware expansion: Adding 2x Mac Studio M5 Ultra (512GB RAM each) for 1.5TB total compute capacity.
Takeaway: Backtest porn until proven otherwise. Watch for live performance slippage, execution costs, and liquidity impact. Curve-fitted models rarely survive first contact with real order flow.
Key metrics:
• Max drawdown: 37.4% from peak
• Zero negative months (backtested)
• 9 base strategies, 40+ parameter combinations validated
Risk flags:
• Pure backtest — zero live performance data
• No strategy details, asset class, or timeframe disclosed
• 37.4% drawdown is institutional pain threshold; retail would capitulate
• Overfitting risk high with 390+ tested strategies
Next steps:
• Live deployment planned with personal capital
• Public dashboard promised post-deployment
• No software access until Q1 2026 at earliest
Hardware expansion: Adding 2x Mac Studio M5 Ultra (512GB RAM each) for 1.5TB total compute capacity.
Takeaway: Backtest porn until proven otherwise. Watch for live performance slippage, execution costs, and liquidity impact. Curve-fitted models rarely survive first contact with real order flow.
