FortuneTLR

FortuneTLR is a stock price predictor that uses machine learning and positive/negative trigger words from news articles to give a recommendation on whether or not to buy stock.

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Inspiration

The inspiration for FortuneTelr comes from an idea that Anderson has had for a long time, which is to use machine learning to process language and make meaningful conclusions about the stock market.

What it does

FortuneTLR takes an input string of words from a news article, and gives a prediction on if the stock price will increase or decrease based on the positivity / negativity of the words.

How we built it

We built this using existing python libraries and original methods to create a neural network that processes data and makes a prediction.

Challenges we ran into

The biggest challenge for us was the time constraint and lack of resources. A more powerful computer would have allowed us to process data more efficiently.

Accomplishments that we're proud of

As first time hackers, its an accomplishment just to have a final product worth showcasing. We were out of comfort zones and had to learn and implement the project very quickly.

What we learned

We learned about machine learning algorithms and we increased our skills in python. We reinforced our skills in web development. We explored the math that goes on behind the scenes in neural networks.

What's next for FortuneTLR

We want to optimize FortuneTLR to have a better homepage that allows for users to interact with our model and be able to use its predictions in their own personal investments.

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