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I would like to ask for your opinion regarding a potential contribution related to Backtesting.py.
As part of my master’s thesis, I developed an early prototype of a GUI application that uses Backtesting.py as its backtesting engine (without modifying its core).
The GUI allows users to:
download historical data and store it in Parquet format,
configure parameters and execute backtests,
store backtest results in a relational database,
filter and compare backtest results,
display multiple Backtesting.py result plots.
The application is written entirely in Python and uses a client-server architecture. Backtesting.py remains the computational engine, while the application provides orchestration, persistence, and a graphical interface layer on top.
The project is still in a prototype stage and would require further work to become robust enough for practical use. Before investing more time into development, I would like to ask whether you see any value in this kind of application within the Backtesting.py ecosystem.
Thank you for your time and for maintaining Backtesting.py.
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Hello,
I would like to ask for your opinion regarding a potential contribution related to Backtesting.py.
As part of my master’s thesis, I developed an early prototype of a GUI application that uses Backtesting.py as its backtesting engine (without modifying its core).
The GUI allows users to:
The application is written entirely in Python and uses a client-server architecture. Backtesting.py remains the computational engine, while the application provides orchestration, persistence, and a graphical interface layer on top.
The project is still in a prototype stage and would require further work to become robust enough for practical use. Before investing more time into development, I would like to ask whether you see any value in this kind of application within the Backtesting.py ecosystem.
Thank you for your time and for maintaining Backtesting.py.
Example screenshot of the prototype:
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