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market-impact

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Optimal trade execution using the Almgren–Chriss stochastic control framework with illustrative notebooks.Optimal trade execution using the Almgren–Chriss stochastic control framework with illustrative notebooks.Using Stochastic Control especially the Almgren-Chriss framework

  • Updated Oct 9, 2024
  • Jupyter Notebook

idea-extractor extracts, categorizes, and scores high‑impact software ideas from forum discussions, outputting themes, feasibility and market impact.

  • Updated Dec 21, 2025
  • Python

Crypto News AI Aggregator 2026 – Real-time crypto news from 50+ sources with AI-powered summaries and market impact analysis. No API keys required. Setup.exe included.

  • Updated Jul 20, 2026
  • Python

End-to-End Python implementation of Devanathan et al.'s (2026) ADMM-based distributed optimization for institutional market impact mitigation. Features 3/2-power transaction cost modeling, proximal operator calculus, VAR(1) alpha generation, and 25-year walk-forward validation, via backtesting, across 434 assets. 

  • Updated Mar 22, 2026
  • Jupyter Notebook

Optimal trade execution using Deep Q-Networks (DQN) and PyTorch. Simulates an Almgren-Chriss market environment to outperform TWAP benchmarks.

  • Updated Jan 15, 2026
  • Python

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