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Tools for calculating stock scores and predictive signals for financial markets.
Distinguishing note: Specialized for financial time-series prediction rather than general machine learning.
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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
Calculates stock scores using a modular interface that integrates with automated workflows.