Skip to content
#

market-impact

Here are 5 public repositories matching this topic...

Language: All
Filter by language

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

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

Improve this page

Add a description, image, and links to the market-impact topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the market-impact topic, visit your repo's landing page and select "manage topics."

Learn more