We were concerned that skeletons were not getting good stock predictions as there are hugely underrepresented, a field dominated by zombies.

What it does

High calcium stock predictions for high calcium skeletons

How we built it

based on LSTM RNN, twitter, and news sentiment analysis

Challenges we ran into

we had no skeletons to consult on the development of the website

Accomplishments that we're proud of

successfully deploying a neural net in a product oriented environment instead of just for analysis

What we learned

how to use python flask, to create neural nets in tensorflow, analyse sentient with nltk, use twitter API, and selenium webscraping

What's next for porticde2017

further skeletonisation of the financial markets

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