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trading-strategy-simulation

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predict-anything

Quant AI and trading AI skills for quant agents and AI trading agents: causal market analysis, investment research, trading strategy discovery, alpha discovery, backtesting, and validation with Abel.

  • Updated Jul 8, 2026
  • Python

C++20 HFT simulator for CME futures. Shadow execution algorithm (% of volume, beats VWAP/TWAP). Position-aware order book with queue simulation. MDP3 decoder, iLink 3, PCAP replay. Lock-free actor framework with sub-microsecond dispatch. Distributed via ZMQ. ES/NQ futures backtesting and live trading.

  • Updated May 9, 2026
  • C++
MarketNormalizationEngine

Market data pipeline for downloading, parsing, and normalizing high-frequency data. Converts raw .bi5 files into structured parquet datasets, with support for resampling and feature-ready data preparation for quantitative, research, and machine learning workflows. Currently only supports Forex data.

  • Updated Jun 10, 2026
  • Python

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