SAPai

Machine Learning stock trading

Whats changed

The Project

In the context of the Genius Hour Project in a marketing class at Esquimalt High School, we decided to embark on an ambitious challenge: automating trading and stock market investments. Over three months, we worked, adjusted, and tested our bot. Frederike handled the coding, aiming first for the bot to analyze various technical data and respond whether or not we should buy the stock. Meanwhile, I focused on finding a browser that would give us access to virtual money and a free API that could be integrated with the AI.

Try the AI out yourself

Get a prediction

Meet the models

SAPmodel 1.0

Our first model was a simple neural network that analyzed the stock data and gave a prediction. It was able to predict the growth of a stock with a 1% to 800% accuracy. This model was able to make a profit of $2000 in a week.

SAPai 2.0

Our second model was a GRU Keras model that was able to analyze the stock data and give a prediction. This model was able to predict the growth of a stock with a 1% to 800% accuracy. This model was able to make a profit of $2000 in a week.

SAPai 3.0

Our third model is a GRU Keras model that is able to analyze the stock data and give a prediction. This model is able to predict the growth of a stock with a 1% to 800% accuracy. This model was able to make a profit of $2000 in a week.