Inspiration
The World of High frequency trading and its possibilities as well as the rise in the popularity of wall street bets
What it does
Our program scraps reddit data using the praw algorithm, based on a certain key word, passing that data to a sentiment analysis algorithm, this algorithm then passes that information into out trading algorithm which uses the number calculated to as a weight as too if to buy and sell a particular stock
How we built it
We build it initially we jupyter notebook then build it further from there using QuantConnect to create a trading algorithm, which determines if to buy or sell based on both information from QuantConnect past data, as well as a confidence interval calculated by the jupyter notebook
Challenges we ran into
Getting the Quantconnects algorithms to work locally on our computers but to the high degree of specificity and optimization needed to run Quantconnect, we also faced difficulty getting both the backend and front end to communicate.
Accomplishments that we're proud of
we got Quantconnect to work locally on our computers, we were able to create a sentiment analysis bot which makes use of reddit scrappers, we learned new technologies.
What we learned
How software development truly works
What's next for 2MenOneCode
improve our algorithm, and get the software to run smoothly within a single application
Built With
- apis
- css
- html
- javascript
- jupyternotebook
- praw
- python
- quantconnect

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