Update README.md

README.md

@@ -1,2 +1,26 @@
 # How-to-Predict-Stock-Prices-Easily-Demo
 How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
+
+##Overview
+
+This is the code for [this](https://youtu.be/ftMq5ps503w) video on Youtube by Siraj Raval part of the Udacity Deep Learning nanodegree. We use an [LSTM neural network](http://colah.github.io/posts/2015-08-Understanding-LSTMs/) to predict the closing price of the S&P 500 using a dataset of past prices.
+
+##Dependencies
+
+* keras
+* tensorflow
+
+Install Keras from [here](https://keras.io/) and Tensorflow from [here](https://www.tensorflow.org/versions/r0.12/get_started/os_setup). 
+
+##Usage
+
+Run this using [jupyter notebook](http://jupyter.readthedocs.io/en/latest/install.html). Just type `jupyter notebook` in the main directory and the code will pop up in a browser window. 
+
+#Coding Challenge - Due Date, Thursday, March 2nd 2017 at 12 PM PST
+
+Use the price history AND two other metrics of your choice to predict the price of GOOGL stock with an LSTM network. You can find the CSV [here](https://www.google.com/finance/historical?q=NASDAQ%3AGOOGL&ei=Xu6wWKnDAcS1jAGX6a-ACg). Metrics could be sentiment analysis from Twitter of what people have said about Google, dividends, etc. 
+
+##Credits
+
+Credits go to [jaungiers](https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction). I've merely created a wrapper to get people started.
+