Inspiration
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
Built With
- html
- javascript
- jupyter-notebook
- nltk
- python
- sci-kit-learn
- selenium
- tensorflow
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