Releases: microsoft/qlib
Releases · microsoft/qlib
Release list
v0.6.0 🌈
Changes
-
Add AI baselines
- CatBoost Ash Ketchum (@javaThonc)
- TFT Wendi Li (@wendili-cs)
- Linear Dong Zhou (@evanzd)
- ALSTM minho (@Pikapikachuu) Don-ustc
- SFM Ash Ketchum (@javaThonc)
- LSTM & GRU Dong Zhou (@evanzd) Lewen Wang (@lwwang1995)
- Gats Meng Dong (@meng-ustc) Turtlesyu-27
- XGBoost Ash Ketchum (@javaThonc) Lewen Wang (@lwwang1995)
-
Fix and move to version 0.6.0 Derek Wang (@Derek-Wds) (#73)
-
Fix ops bug & add raise comments of Skew Kurt bxdd (@bxdd) (#70)
-
Add download qlib_data docs Pengrong Zhu (@zhupr) (#69)
-
Refactor collector Pengrong Zhu (@zhupr) (#68)
-
Fix re about provider_uri & Fix 'exit not defined' error in ipython bxdd (@bxdd) (#67)
-
Add RiskModel and Portfolio Module Dong Zhou (@evanzd) (#60)
-
Support csi100 data collection && Fix data collector Pengrong Zhu (@zhupr) (#57)
🌟 Features
- Refactor Qlib interface you-n-g Derek Wang (@Derek-Wds) Lewen Wang (@lwwang1995) Dong Zhou (@evanzd) Pengrong Zhu (@zhupr) Wendi Li (@wendili-cs) Ash Ketchum (@javaThonc) Meng Dong (@meng-ustc) Don-ustc minho (@Pikapikachuu) bxdd (@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 (@bxdd) (#49)
🐛 Bug Fixes
- fix the float conversion bug you-n-g (#62)
- fix requirements.txt Morris (@morristai) (#45)
📚 Documentation
- Fix typo Gabriel Luiz Freitas Almeida (@ogabrielluiz) (#55)
- Make the DNN model compatible with CPU & Update the Estimator doc bxdd (@bxdd) (#49)
- Update CI & add black formatter Derek Wang (@Derek-Wds) (#51)
- Update badges in REAME.md bxdd (@bxdd) (#44)
v0.5.1 🌈
Changes
- Add the CI/CD
- add the test CI Derek Wang (@Derek-Wds)
- add the publishing action to support pip installation bxdd (@bxdd)
- Fix some bugs
- Fix bugs in test scripts you-n-g Pengrong Zhu (@zhupr)
- Add the error message when using
Qlibin the repository directory bxdd (@bxdd)
- Add a simpler dataset Pengrong Zhu (@zhupr)
- Update the documentation
- Add the badges bxdd (@bxdd)
- Add the FAQ document Pengrong Zhu (@zhupr)
- Add the description for the new installation method (pip) bxdd (@bxdd)
- Fix some other errors Wendi Li (@wendili-cs) Vansh Gandhi (@vanshg)
🌟 Features
🐛 Bug Fixes
📚 Documentation
- Fix typo in examples README Vansh Gandhi (@vanshg) (#32)
- add test and mod doc you-n-g (#17)
- Update data.rst Wendi Li (@wendili-cs) (#24)
- Update README.md Wendi Li (@wendili-cs) (#22)
- Update estimator.rst Wendi Li (@wendili-cs) (#23)
- Add a Gitter chat badge to README.md The Gitter Badger (@gitter-badger) (#21)
- Update data related information Derek Wang (@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.