GENERAL TRACK
Inspiration
Our inspiration was partly from ChatGPT and other open ai projects that are currently taking the world by storm.
What it does
Our project implements a TensorFlow LSTM to generate a prediction set for future stock prices and is implemented in a simulated trading environment
How we built it
Python TensorFlow is the backbone-library to this project.
Challenges we ran into
Model architecture, data scaling/descaling for model training, figuring out the best data to use for training/testing, and implementing trading algorithm were all challenges we had to overcome during development
Accomplishments that we're proud of
Fairly accurate predictability and a trading algorithm that out-performs dollar-cost averaging for all test-cases.
What we learned
We learned a lot about python, tensorflow, and collaborative coding!
What's next for spai
The next step is to have Spai implemented in real-time market simulations for several stocks.
Built With
- python
- tensorflow
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