Good afternoon.

I've just finished my degree in computer engineering and I've come up with the idea of programming a Bitcoin quote simulator (I already programmed one a couple of years ago but it was a bit poor, the new one would be much more ambitious).

I have been working on AI for several months and the idea is to take advantage of my new knowledge to improve what I already had. Using several parameters as input to get the trend and maybe some other interesting data as output, it would be through regression.

The price is not going to be a direct output because it is statistically intractable, but it can be inferred once I have the trend, mean and variance for certain periods.

I am open to suggestions for choosing the input data, both raw data (interest rates, stock market indices, gold prices) and elaborated data (if there is not a library that includes them I can always program them).

The development will be done in Python using TensorFlow.

The results of the simulator can be seen here (as soon as I have the first models).

There is plenty of quotation data, the rest is better if they are publicly available or more or less simple.

Thanks in advance to the charitable souls who can contribute with their suggestions.