Stock MLaster

Inspiration

We hope to create a risk-free virtual environment where people can learn how to trade stocks. We accomplish this through the use of a machine learning bot.

What it does

We implemented a machine learning algorithm that recommends which stocks to buy using historical data scraped from Yahoo! Finance as training data.

How we built it

We used Python with TensorFlow (through Keras) for the machine learning and we used Yahoo_fin, package for gleaning Yahoo! Finance data, for the training set. We then built the game using the Python pygame package.

Challenges we ran into

We are all beginners in machine learning so it was difficult to understand and then code.

Accomplishments that we're proud of

We are proud that, despite our inexperience, we managed to create a working machine learning algorithm and semi-complete game in this short time period.

What we learned

We learned more about machine learning and its different models and algorithms. We also learned how to utilize a bunch of new and different Python packages. Above all, we grew as a team and became more comfortable with our roles and specific tasks. This was an exciting and fun experience!