Implementation of the DDPG algorithm for Optimal Finance Trading
-
Updated
Sep 15, 2019 - Jupyter Notebook
#
almgren-chriss
Here are 5 public repositories matching this topic...
DRIP Asset Allocation is a collection of model libraries for MPT framework, Black Litterman Strategy Incorporator, Holdings Constraint, and Transaction Costs.
java drip asset-allocation portfolio-construction optimal-execution drip-asset-allocation black-litterman constrained-portfolio-optimization factor-models idzorek almgren-chriss optimal-transaction transaction-cost optimal-dynamic-portfolio multi-period-portfolio-optimization stochastic-liquidity-volatility market-impact-models principal-program-trades mean-variance-optimization
-
Updated
Sep 26, 2018 - CSS
monte-carlo monte-carlo-simulation optimal-control bootstrapping-statistics monte-carlo-integration yield-curve optimal-execution almgren-chriss computational-finance financial-engineering monte-carlo-sampling modern-portfolio-theory financial-economics markowitz-portfolio stochastic-optima
-
Updated
Dec 19, 2019 - MATLAB
Portfolio execution strategy based on the Almgren-Chriss model, focusing on trade cost optimization in Python
python quantitative-finance optimal-execution almgren-chriss trading-strategy trade-execution transaction-cost-analysis portfolio-execution
-
Updated
May 1, 2025 - Jupyter Notebook
This project implements an advanced trading execution system based on the research paper "A reinforcement learning extension to the Almgren-Chriss framework for optimal trade execution" by Hendricks and Wilcox. The system combines traditional algorithmic trading methods with machine learning to optimize trading performance.
-
Updated
Nov 4, 2024 - Python
Improve this page
Add a description, image, and links to the almgren-chriss topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the almgren-chriss topic, visit your repo's landing page and select "manage topics."