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10 institutional quant projects — Avellaneda-Stoikov, Hawkes, HMM

heidioftheeast · 2026-02-15T20:45:26.000Z · in AI Saves, Vol. 4
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100k ft — What is this?

10 institutional quant projects — Avellaneda-Stoikov, Hawkes, HMM
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50k ft — Why care?

@heidioftheeast's deeper 10-project list: Avellaneda-Stoikov market maker, multivariate Hawkes order-flow, Almgren-Chriss cross-impact, eigenportfolios via random matrix theory, realized-kernel vol forecasting, meta-labeling, orthogonal alpha stacking, HMM regime detection, adversarial stress tests, capacity/impact scaling. Serious portfolio builder.
creative codingcryptodata sciencefinance/trading

10k ft — Key takeaways

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5k ft — Tools & techniques

Meta Almgren-Chriss, Avellaneda-Stoikov MM, Hawkes process, market making, regime detection

1k ft — Deep-dive / try it

1. Avellaneda–Stoikov Market Making Engine ✅ Calibrated order arrival intensity model (with MLE estimation report) ✅ Market-making backtest with inventory, P&L, and adverse selection breakdown 2. Hawkes Process for Order Flow Alpha ✅ Multivariate Hawkes estimator (fast MLE or EM implementation) ✅ Stability diagnostics (branching ratio, spectral radius) 3. Cross-Impact & Optimal Execution (Robert Almgren & Neil Chriss) ✅ Estimated impact matrix across assets ✅ Temporary + permanent impact calibration 4. Eigenportfolio Construction via Random Matrix Theory ✅ Empirical eigenvalue spectrum vs Marchenko–Pastur comparison ✅ Portfolio turnover analysis. 5. Intraday Volatility Forecasting via Realized Kernels ✅ Implement realized variance, two-scale RV, realized kernel ✅ HAR-RV forecasting mod…
avellaneda-stoikov-and-hawkes
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Collection: AI Saves, Vol. 4