Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
-
Updated
Nov 3, 2018 - Java
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
DRIP Asset Allocation is a collection of model libraries for MPT framework, Black Litterman Strategy Incorporator, Holdings Constraint, and Transaction Costs.
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
Portfolio execution strategy based on the Almgren-Chriss model, focusing on trade cost optimization in Python
Reinforcement Learning for Optimal Trade Execution
Logistic‑Normal Actor‑Critic für optimale Trade‑Ausführung in einem realistischen Limit‑Order‑Book‑Simulator (Noise/Tactical/Strategic); PyTorch‑Training inkl. TWAP/SL‑Baselines & Evaluation.
Deep Reinforcement Learning for Optimal Trade Execution using DQN and Baseline Strategy Comparison
Literature survey of order execution strategies implemented in python
We consider the execution of portfolio transactions with the aim of minimizing a combination of risk and transaction costs arising from permanent and temporary market impact.
This is for the capstone project "Optimal Execution of a VWAP order".
Add a description, image, and links to the optimal-execution topic page so that developers can more easily learn about it.
To associate your repository with the optimal-execution topic, visit your repo's landing page and select "manage topics."