Quantresearch

Quantitative analysis, strategies and backtests
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Qlib13,29516 months ago32July 18, 2023193mitPython
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.
Financial Machine Learning5,277
6 months ago5Python
A curated list of practical financial machine learning tools and applications.
Qbot4,799
8 months ago51mitJupyter Notebook
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Awesome Ai In Finance2,537
9 months ago1cc0-1.0
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Quantresearch1,410
a year agomitJupyter Notebook
Quantitative analysis, strategies and backtests
Bulbea1,203
6 years ago28otherPython
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Trading Momentum Transformer341
7 months ago5mitPython
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
Time Series Machine Learning220
6 years ago11apache-2.0Python
Machine learning models for time series analysis
Darwinexlabs192
5 years ago4bsd-3-clausePython
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Notebooks101
2 years ago2Jupyter Notebook
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
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