A working simulator
A functional interface to simulate buying and selling stocks and to study which strategy works best.
Project · 2024
Stock Portfolio
Simulating and comparing portfolio strategies on real price histories.
- Python
- Financial APIs
- Risk & return estimation
- User Interface
Team
4 people
Duration
2 months
Course
AI
Summary
A desktop application to select stocks and build a portfolio from their price histories, then simulate management strategies to find out which one works best. Four strategies were defined: diversified, increasing, buy and hold, and trend following. Two of them, diversified and increasing, were simulated and compared on an initial investment of $1,000.
My role. I managed the GUI's development.
In pictures
A closer look.
Tools
What I worked with.
Python
The language of the whole application.
PySide6
To build the graphical interface.
SQLite
To store the data locally.
Y
Yahoo Finance API
Free, easy to integrate and a reliable source, with price histories that let us simulate on past years.
Results
What came out of it.
The strategy study
Two of the four strategies were simulated and compared, so the study is only partly complete.
- Result
- 2 of 4 strategies
Looking ahead
Simulate the two remaining strategies, buy and hold and trend following, to complete the comparison.
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