S&P 500 stock data

Source data can be found here.

Context

Stock market data can be interesting to analyse and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here is provided a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

Columns

• Date - in format: yy-mm-dd
• Open - price of the stock at market open (this is NYSE data so all in USD)
• High - Highest price reached in the day
• Low Close - Lowest price reached in the day
• Volume - Number of shares traded
• Name - the stock's ticker name

Inspiration
This dataset lends itself to a some very interesting visualizations. One can look at simple things like how prices change over time, graph an compare multiple stocks at once, or generate and graph new metrics from the data provided.
From these data informative stock stats such as volatility and moving averages can be easily calculated.
The million dollar question is: can you develop a model that can beat the market and allow you to make statistically informed trades!