Assorted python scripts for downloading Interactive Brokers (IB) flex query, then saving and analyzing them. Abandoned dash and using highchart and Flask instead.
The goal of this project is to store interactive broker account history in a sqlite database and analyse them using SQL/Python, perhaps with help of panda.
Some of the analysis in mind:
- Consider cost of funding, tax and dividend for single stock performance - hard to do with IB statements.
- Tallying futures PnL over multiple rolling period.
- Account Equity graph/drawdown analysis/ratios
Pandas, Flask
See requirement.txt
This is alpha software and just started developing, it just "worked" for me without any serious testing and I am not an experineced developer, so raising issues you found is welcome.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
xml_downloader.py
Call download_xml with token and report number, filename is optional.
The resulting xml file will be saved in the same folder as the script.
download_xml(token, report_number, filename='data.xml')
Flex query report number is generated when you create a flex query.
https://www.interactivebrokers.com.hk/en/software/am/am/reports/activityflexqueries.htm
Please refer to the link below on how to get the token https://www.interactivebrokers.com.hk/en/software/am/am/reports/flex_web_service_version_3.htm
example:
import xml_downloader
xml_downloader.download_xml('123456789012345', '123456', 'test.xml')
import_data.py Call create_table() to create account.db in the same directory with the database schema. Call import_to_db(file) to import an xml file to the database.
Run run.py to start the server and browse the resulting chart with your browser.
