Stock-Price-Prediction-Challange

This code is part of the stock price prediction challenge from "Learn Python for Data Science #2" by Siraj Raval. The code works as follows:

1. The User is asked to choose a stock ticker and a look_back period.
2. Tweets about the stock and their sentiment are anlysed with Tweepy and TextBlob
3. If the overall sentiment is positive, stock data is downloaded from Yahoo-Finance
4. A NN is trained to predict t+1s stock price based on the look_back perdiod.
5. The data and the predicted data is plotted.

Credits

Credits go to both Siraj Raval and Jason Brownlee for this blog post from which I adapted code.