Converts a Charles Schwab transaction CSV file to a ready-to-import CSV file for Portfolio Performance (PP).
After conversion, this step-by-step guide creates a new portfolio file in PP and imports the converted example CSV.
There are two ways to run this tool: Google Colab or via command-line. The former is for end-users. The later is for python-savvy users and developers.
Although Google Colab is free, one will need a Google account.
Runtime Requirements:
- Python 3.7, 3.8, 3.9, 3.10, 3.11, 3.12.
- Pandas
Install this tool in a Python virtual environment:
Install runtime libraries:
pip install -r requirements.txt
Command-line options:
python convert.py --help
usage: convert.py [-h] [-p PP_CSV] schwab_csv
Converts a Charles Schwab transaction CSV file to a ready-to-import CSV file for Portfolio
Performance.
positional arguments:
schwab_csv Input Charles Schwab CSV file
optional arguments:
-h, --help show this help message and exit
-p PP_CSV, --pp_csv PP_CSV
Resulting CSV file for Portfolio Performance (default: pp.csv)
Example:
An example Schwab CSV: example.csv. The converted ready-to-import CSV file: example_out.csv.
To replicate this conversion:
python convert.py example.csv -p example_out.csv
Supported transactions:
- "NRA Tax Adj"
- "Credit Interest"
- "NRA Withholding"
- "Short Term Cap Gain"
- "Long Term Cap Gain"
- "Cash Dividend"
- "Buy"
- "Wire Received"
- "Sell" (Not verified)
Not-yet-supported transactions:
- ACH deposit and withdrawal
- Wire withdrawal
I have actual transactions for the supported transactions. "Sell" is an educated guess; I don't have an actual sale. If you could share actual transactions for not-yet-supported ones, please let me know. Thank you.
Duplicate transactions:
As far as I can test, PP will detect and skip duplicate transactions. So it is safe to import overlapping transactions in the future.
MIT