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GitHub / microsoft / qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fqlib

Stars: 14,098
Forks: 2,446
Open Issues: 216

License: mit
Language: Python
Repo Size: 16.3 MB
Dependencies: 220

Created: over 3 years ago
Updated: 23 days ago
Last pushed: 27 days ago
Last synced: 26 days ago

Commit Stats

Commits: 1739
Authors: 134
Mean commits per author: 12.98
Development Distribution Score: 0.857
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/microsoft/qlib

Topics: algorithmic-trading, auto-quant, deep-learning, finance, fintech, investment, machine-learning, paper, platform, python, quant, quant-dataset, quant-models, quantitative-finance, quantitative-trading, research, research-paper, stock-data

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    Dependencies
    setup.py pypi