A Long Short Term Memory RNN model to predict and visualize future stock stock price behavior using historical market data. This model demonstrates that it is possible to accurately predict stock price behavior many steps into the future.
Implementing this project from scratch was an invaluable learning experience as I practiced building Deep Learning Models using Tensorflow on real world data and applying its predictive capabilities to the stock market.
Understanding LSTM Networks Article: http://colah.github.io/posts/2015-08-Understanding-LSTMs/
Project Tutorial: https://www.datacamp.com/community/tutorials/lstm-python-stock-market#lstm
Stock Market Data: https://www.kaggle.com/borismarjanovic/price-volume-data-for-all-us-stocks-etfs