Inspiration
Inspired by data forecasting algorithms.
What it does
Forecast previous stock data and makes predictions on whether or not to buy the stock.
How we built it
Using some libraries from matplotlib and pandas along with data structures and some conditional statements.
Challenges we ran into
- Stock formulas used for the modelling.
- Interpreting the libraries used in python.
- What the user finds most beneficial with the API
- Most of us had little to no programming experience and we all had to do extensive research on python libraries and the stocks
Accomplishments that we're proud of
Managing to complete the project despite the fact this project idea came up 23 hours ago.
What we learned
Some library usage in python and how to utilize the functions available in those modules.
What's next for Stock API
This can perhaps be a building block on creating future forecasting models for stocks.
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