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README.md

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-license: apache-2.0
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+# LSTM Neural Network for Time Series Prediction
+
+LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wave and stock market data.
+
+[Full article write-up for this code](https://www.altumintelligence.com/articles/a/Time-Series-Prediction-Using-LSTM-Deep-Neural-Networks)
+
+[Video on the workings and usage of LSTMs and run-through of this code](https://www.youtube.com/watch?v=2np77NOdnwk)
+
+## Requirements
+
+Install requirements.txt file to make sure correct versions of libraries are being used.
+
+* Python 3.5.x
+* TensorFlow 1.10.0
+* Numpy 1.15.0
+* Keras 2.2.2
+* Matplotlib 2.2.2
+
+Output for sine wave sequential prediction:
+
+![Output for sin wave sequential prediction](https://www.altumintelligence.com/assets/time-series-prediction-using-lstm-deep-neural-networks/sinwave_full_seq.png)
+
+Output for stock market multi-dimensional multi-sequential predictions:
+
+![Output for stock market multiple sequential predictions](https://www.altumintelligence.com/assets/time-series-prediction-using-lstm-deep-neural-networks/sp500_multi_2d.png)