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Systems for managing asset portfolios and generating order lists based on model predictions.
Distinguishing note: Focuses on the execution phase of trading strategies.
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This project is a comprehensive platform for quantitative investment research, machine learning, and algorithmic trading. It provides an end-to-end environment for developing, testing, and executing financial strategies, supporting the entire lifecycle from data ingestion and feature engineering to model training and backtesting. The system is distinguished by its configuration-driven workflow orchestration, which allows researchers to automate complex pipelines and manage experiments through declarative files. It features a high-performance data infrastructure that utilizes custom binary for
Executes pre-built investment strategies to manage stock holdings and generate order lists.