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event-driven-backtesting

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717Y-quantitative-event-driven-research-engine

Institutional-style quantitative research and systematic trading architecture — research, walk-forward validation, portfolio construction, risk controls, Zipline backtesting, and IBKR execution.

  • Updated Aug 31, 2026
  • Jupyter Notebook

Trading Strategy Backtesting Suite helps traders and quants validate ideas with event-driven backtesting, portfolio simulation, and Python backtesting workflows. Run free backtesting trading experiments on forex, options, and crypto data before risking capital in live markets.

  • Updated Sep 15, 2026
  • Python

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