H1 Trading Agent
In Development
Quantitative crypto trading: spectral arbitration (FFT / wavelet / Hilbert), Synapse-inspired dynamic model weighting, purged K-fold CV, cost-aware backtesting (slippage, gas, MEV), Kelly sizing — staged pipeline to production.
In Development: This project is actively being developed. Performance metrics are from backtesting/research phases.
Problem
Crypto markets need strategies that adapt across regimes with disciplined financial ML — leakage-aware validation, cost-realistic execution assumptions, and staged deployment.
Business Impact
- 2.1+ Sharpe ratio (backtest regime)
- <15% max drawdown
- 55–60% win rate in evaluated windows
- Staged deployment pipeline for risk containment
Key Metrics
2.1+ Sharpe
<15% drawdown
Spectral features
Staged deploy