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market-neutral

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Autonomous crypto quant-research platform: XGBoost/LightGBM signal ensembles, regime-aware allocation, a funding-carry engine, a self-evolving research loop, and a fail-closed safety/MLOps stack. 95 modules, 148 tests, Python 3.10+.

  • Updated Jun 29, 2026
  • Python

~40 alpha methods across 3 waves under deflated-Sharpe + cross-engine adversarial verification — most killed (formula alphas proven non-stationary), one honest structural edge kept: settlement-locked basis cash-and-carry. Mutation-tested governance gate.

  • Updated Jul 4, 2026
  • Python

Institutional Prime Brokerage System (ASTRA). Dual engine architecture combining L1 Norm Convex Optimization for inventory management and Bayesian Kalman Filters for high frequency alpha. Achieved 15.10 Sharpe & 18.55% Volatility reduction.

  • Updated Feb 5, 2026
  • Jupyter Notebook

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