v0.6.0 🌈

Changes

• Add AI baselines

  • CatBoost @javaThonc
  • TFT @wendili-cs
  • Linear @evanzd
  • ALSTM @Pikapikachuu @Don-ustc
  • SFM @javaThonc
  • LSTM & GRU @evanzd @lwwang1995
  • Gats @meng-ustc @Turtlesyu-27
  • XGBoost @javaThonc @lwwang1995

• Fix and move to version 0.6.0 @Derek-Wds (#73)

• Help to PR @you-n-g (#72)

• refine docs @you-n-g (#71)

• Fix ops bug & add raise comments of Skew Kurt @bxdd (#70)

• Add download qlib_data docs @zhupr (#69)

• Refactor collector @zhupr (#68)

• Fix re about provider_uri & Fix 'exit not defined' error in ipython @bxdd (#67)

• Add RiskModel and Portfolio Module @evanzd (#60)

• Support csi100 data collection && Fix data collector @zhupr (#57)

🌟 Features

• Refactor Qlib interface @you-n-g @Derek-Wds @lwwang1995 @evanzd @zhupr @wendili-cs @javaThonc @meng-ustc @Don-ustc @Pikapikachuu @bxdd (#56)
• support non-full-fill rate of executor @you-n-g (#66)
• Make the DNN model compatible with CPU & Update the Estimator doc @bxdd (#49)

🐛 Bug Fixes

• fix the float conversion bug @you-n-g (#62)
• fix requirements.txt @morristai (#45)

📚 Documentation

• Fix typo @ogabrielluiz (#55)
• Make the DNN model compatible with CPU & Update the Estimator doc @bxdd (#49)
• Update CI & add black formatter @Derek-Wds (#51)
• Update badges in REAME.md @bxdd (#44)

v0.5.1 🌈

Changes

• Add the CI/CD
  • add the test CI @Derek-Wds
  • add the publishing action to support pip installation @bxdd
• Fix some bugs
  • Fix bugs in test scripts @you-n-g @zhupr
  • Add the error message when using Qlib in the repository directory @bxdd
• Add a simpler dataset @zhupr
• Update the documentation
  • Add the badges @bxdd
  • Add the FAQ document @zhupr
  • Add the description for the new installation method (pip) @bxdd
  • Fix some other errors @wendili-cs @vanshg

🌟 Features

• Release v0.5.1 @you-n-g (#31)

🐛 Bug Fixes

• Release v0.5.1 @you-n-g (#31)

📚 Documentation

• Fix typo in examples README @vanshg (#32)
• add test and mod doc @you-n-g (#17)
• Update data.rst @wendili-cs (#24)
• Update README.md @wendili-cs (#22)
• Update estimator.rst @wendili-cs (#23)
• Add a Gitter chat badge to README.md @gitter-badger (#21)
• Update data related information @Derek-Wds (#16)

First release of Qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.