Finx Reports - IB

Python package to generate reports from Interactive Brokers.

Installing

Install the module from github,

pip install git+https://https://github.com/westonplatter/finx-reports-ib.git@main

Or add it to your requirements.txt file,

finx_reports_ib @ git+https://https://github.com/westonplatter/finx-reports-ib.git@main

Getting Started

1. Create a Flex Report in the Interactive Broker website (see this link)

   1. Query Name = AllAccounts-AnnualReport
   2. Sections to include in the report. In each, select all Options and all Fields/Columns except: Serial Number, Delivery Type, Commodity Type, Fineness, Weight.
      1. Account Information
      2. Change in NAV
      3. Complex Positions
      4. Mark-to-Market Performance Summary in Base
      5. Month & Year to Date Performance Summary in Base
      6. Open Positions
      7. Option Exercises, Assignments, and Expirations
      8. Realized and Unrealized Performance Summary in Base
   3. Accounts = select all desired accounts (python code is able to handle single or multiple accounts)
   4. Models = Optional
   5. Format = XML
   6. Period = Last 365 Days
   7. Date Format = yyy-MM-dd
   8. Time Format = HH:mm:ss
   9. Date/Time Separator = ;semicolon
   10. ProfitLoss = Default
   11. Include Canceled Trades = No
   12. Include Base Currency = No
   13. Include All Audit Fields = No
   14. Display Account Alias in Place of Account ID = No
   15. Breakout by Day = No

2. Clone the repo and install it

   git clone [email protected]:westonplatter/finx-reports-ib.git
   cd finx-reports-ib
   pip install --edit .
   

3. Create your own .env file

   Copy the sample env file,

   cp .env.example .env
   

   Edit it with your own values,

   IB_JSON='{"accounts": [{"name": "account1", "flex_token": "123", "annual": <ibkr_query_id>}]}'
   

4. Run the download command

   # note that `report-name` matches up with annual key in the .env file
   python cli.py download --report-name=annual --cache
   
   # see the python import/methods in cli.py
   

5. See files in the data directory