Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
COMMITS
November 7, 2022
Q
Correct errors and typos in doc strings (#1338)
qianyun210603 committed
November 4, 2022
L
Update dump_bin.py (#1273)
lerit committed
November 3, 2022
W
Update cache.py (#1329)
wony committed
October 30, 2022
C
Use mock data for element operator tests. (#1330)
Chia-hung Tai committed
October 22, 2022
L
fix_CI_error (#1325)
Linlang committed
October 20, 2022
L
optimize_CI (#1314)
Linlang committed
October 19, 2022
H
Migrate amc4th training (#1316)
Huoran Li committed
October 14, 2022
C
Update README.md (#1279)
Chao Wang committed
C
Add REG_US and REG_TW into test case: test_utils.py. (#1310)
Chia-hung Tai committed
October 12, 2022
H
RL backtest with simulator (#1299)
Huoran Li committed
Y
General handler for open source data preprocessing (#1302)
Yuchen Fang committed
L
Update __init__.py (#1287)
lerit committed
October 7, 2022
C
Fix typo (#1308)
Chia-hung Tai committed
September 19, 2022
H
Migrate backtest logic from NT (#1263)
Huoran Li committed
September 14, 2022
Y
Add docs for the reampling example. (#1285)
you-n-g committed
H
Fix `_update_dealt_order_amount` bug. (#1291)
Huoran Li committed
September 2, 2022
C
Expm typo fix add log (#1271)
Chao Wang committed
August 30, 2022
Y
Fix CI pylint bug (#1270)
you-n-g committed
August 29, 2022
A
update recorder.rst (#1264)
animic committed
L
fix_yahoo_collector_bug (#1257)
Linlang committed
August 24, 2022
H
Qlib simulator refinement (redo of PR 1244) (#1262)
Huoran Li committed
August 22, 2022
路
Update signal_strategy.py (#1251)
路旁的叶修 committed
O
August 12, 2022
Y
Refine type hint and recorder (#1248)
you-n-g committed
August 5, 2022
H
Add simplified download command (#1234)
Hyeongmin Moon committed
J
Add csi500 benchmark for MLP model. (#1215)
Jinge Wang committed
A
Add Linear model results on dataset=csi500 (#1210)
aprilpear committed
H
Add result of doubleensemble model on CSI500 (#1201)
huajunzh-msft committed
N
Update LightGBM alpha158 csi500 result (#1199)
Ning Tang committed
L
Add csi500 experiment result to CatBoost (#1197)
lcrun committed