The system
Built to run, not to be sold.
The Algo-Hunter engine is an internal execution stack: strategy modules, a shared risk manager, and a monitoring layer that keeps every live book inside its declared envelope. Nothing about it is designed to be productized.
Autonomous bots
Systems enter and exit without human hesitation. Rules, not moods, drive every fill.
Backtested to bone
Years of tick data, walk-forward validation, and stress tests before a strategy sees live capital.
Risk-first
Per-trade caps, daily kill-switches, and portfolio-level drawdown limits. Survival first, edge second.
Multi-regime
Momentum, mean-reversion, and volatility carry — allocated dynamically as markets shift.
> algo-hunter engine v3.2
[ok] loading strategy: momentum-hf.py
[ok] loading strategy: vol-carry.py
[ok] loading strategy: mr-basket.py
[ok] risk-manager attached | daily-loss=-2.00% | portfolio-var=1.15%
[ok] venue: binance latency=14ms fills=128/128
[ok] venue: bybit latency=17ms fills=64/64
[live] session pnl: +1.83%