Inspiration
What it does
Based on the user's answers to a few questions about their risk management in finances and their personality in general, the Rat of the Wall Street will match the user's risk level to a stock with similar riskiness based on its past history of fluctuations and online sentiment.
How we built it
React (JS, HTML / CSS) for the frontend, Python on the backend. Used Cohere's NLP online platform to evaluate the risk levels of a list of stocks from the S&P 500 market.
Challenges we ran into
Frontend: At some point, for two different JS files, what is displayed on screen is the same thing which was unexpected. Backend: Having not done web development in a while, one of us struggled to process the user's responses in the quizzes and compute the average value of those responses.
Accomplishments that we're proud of
If you make investment decisions by browsing reddit and reading yahoo finance news articles, we made the perfect bot for you!
What we learned
This project has been a good refresher on web developing and React, the latter of which one of us had no prior experience in. Also, it's probably not a good idea to base your research on r/walllstreetbets.
What's next for The Rat of Wall Street
Hourly updates of stock risk assessment during trading hours,
Automated trading: because who wouldn't want a bot with questionable financial knowledge to manage your investment accounts?
Obligatory disclaimer: this is not professional financial advice
Please use at your own risk.
Built With
- datahub
- html/css
- javascript
- natural-language-processing
- python
- react
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