A tool to get some visualizations over data from Meitav Trade Spark platform. (since Meitav builtin visualizations sucks)
Before running Meitav Trade Spark Portfolio Analyzer, ensure that:
- Python 3 and pip is installed on your system.
- Update
instrument_details.yaml
with the relevant details of the instruments you want to analyze. - Download from Meitav Trade Spark the xlsx file from your portfolio page.
- [Optional] The
mercury
Python package is installed. You can install it using pip:pip install mercury
.
- Change in the 3rd cell the
demo_data.xlsx
to the file path of the xlsx from Meitav Trade Spark. - Run the notebook.
- Run mercury with the following command:
mercury run
- Add the notebook to the Mercury by running (this needs to be done only once):
mercury add /path/to/spark_portfolio_analysis.ipynb
- Go to the Mercury UI in localhost:3000 and navigate to the notebook.
- Upload the xlsx file to the Mercury using the UI, and wait for the results.