QCU Weather Based Rebalancing

We took NYC temperature weather data imported from an external source and used it as a weighting factor for how much stock we should own. Data is stored on dropbox.

The theory was people are like bears: we hibernate during winter and when its sunny we're optimistic and go longer.

Example of using external data source, which creates custom strongly typed objects for use in your algorithm.

I think the strategy also goes short for a few weeks during the peak of winter - anything below -5C would be short. Perhaps hypothesis could be updated that below a certain temperature it doesn't matter how cold it is? So it would eliminate the short days.

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