Inspiration
"Get Rich or die trying" - 50 Cent NCR and Investment Soc Prize
What it does
Uses LTSM and/or Sentiment Analysis to predict stock prices and trades them using a simple strategy.
How we built it
Backend = python (flask) Frontend = react
Challenges we ran into
Graphing using plotly javascript
Accomplishments that we're proud of
Generating two models with accurate results on training, with ability to trade stocks in a simulated environment.
What we learned
Financial analysis terms and indicators. How to build backend in python and use data analysis frameworks like pandas.
What's next for MK Enterprises Trading Bot
Bug fixes on front end. Portfolio management User Accounts Fine turning parameters for the ML models Add simple moving average metric and Bollinger bands to make trade choices.
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