For my senior project, I was able to convince 3 other of my classmates about the greatness of investing and Wall Street. We created a machine learning trading algorithm, which we implemented on a FPGA Board, to implement live trades on a paper portfolio.
Our Trading algorithm takes different well known investing strategies to decide on a Buy or Sell in our stock universe, and uses machine learning to adjust the weights for each of these strategies for each stock in the universe.
For example, a stock like Tesla might be more correlated with the general opinion of Twitter and Reddit users, while a stock like HealthEquity might be more correlated with the Four Candle Hammer Strategy.
To learn more about the trading algorithms we are researching, feel free to checkout our Website which shows how our algorirthm is doing, recent trades, and our trading strategies
Our technology stack includes
- React - Frontend
- Ruby - API Server
- Python - Proxy between custom hardware and API
- Verilog - FPGA Implementation
Let me know what you think or if you have any questions.
-JoCee Porter