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.
1.open calendars\day.txt
1.There aren't days like "2009-05-05". According to the record, however, 2009-05-05 is trading day.
Expected Behavior
The data should contain days like 2009-05-05. Here is the data of SH600004 I found online.
Screenshot
However, there isn't data on 2009-05-05 of SH600004 when I use D.features()
Environment
Note: One could run python scripts/collect_info.py under the qlib directory to get the following information.
Qlib version: 0.6.1
Python version: 3.7
OS (Windows, Linux, MacOS): Linux
Commit number (optional, please provide it if you are using the dev version):
Additional Notes
I supposed that reason was due to the calendar was made by the data of SH600000, while the data source didn't contain days like "2009-05-05" of SH600000.
🐛 Bug Description
To Reproduce
Steps to reproduce the behavior:
1.open calendars\day.txt 1.There aren't days like "2009-05-05". According to the record, however, 2009-05-05 is trading day.
Expected Behavior
The data should contain days like 2009-05-05. Here is the data of SH600004 I found online.
Screenshot
However, there isn't data on 2009-05-05 of SH600004 when I use D.features()
Environment
Note: One could run
python scripts/collect_info.py
under theqlib
directory to get the following information.Windows
,Linux
,MacOS
): LinuxAdditional Notes
I supposed that reason was due to the calendar was made by the data of SH600000, while the data source didn't contain days like "2009-05-05" of SH600000.