In terms of the Raspberry Pi, we still need to consult somebody on how to set it up properly on CMU Secure, but currently, we can work on it at home with an ethernet connection. I have since created a module to create the miner and client to communicate with the mining pools. There is a slight oddity with how bytes and strings are dealt with with Python3, so the client is currently written for Python2 where there isn’t as much of a distinction between bytes and strings, which is easier to understand the data that is sent to the mining pool and the data that we get back from the pool. The mining pool in addition to giving work also gives the previous hash and changes to the difficulty. The last step now is to send the data and receive answers via the GPIO Pins. The decision tree has also been updated to include another attribute of volatility that is currently crudely calculated with an average threshold. Currently, I take the averages of the differences of the high and low prices and divide it by the average of the open and close prices. This in some sense gives a metric of how volatile it was from a generalized mean value. All of these mean values are averaged to get an overall threshold value that the get_data method will use to update the label generation. In addition, the decision tree inference currently conducts a majority vote at the node it traverses to, but the vote has now been changed such that it takes in external variables which currently include shares found and difficulty. Future work involves expanding all of these and especially on Sunday and Monday I want to make the modules to hook up the system so that we can push to have a prototype that doesn’t necessarily have to mine yet, but can at least communicate so that we can set up/hook up everything else during the week.