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

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