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wrds

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Research framework for optimal high-frequency market making with Avellaneda-Stoikov quoting, WRDS TAQ replay backtesting, queue-aware fills, volatility-adaptive spreads, and robust execution/P&L analysis.

  • Updated Jun 3, 2026
  • Python

Multi-pillar L/S equity research on DoorDash (DASH): alt-data signals → GOV surprise forecast → revenue / contribution-margin / EBITDA chain → CAR event study. Pre-registered Q1 2026 prediction.

  • Updated May 8, 2026
  • Jupyter Notebook

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