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If I were to make a neural network that predicts the value of e.g. Bitcoin tomorrow based on the chart of the last month, would that work? Of course, 100% accuracy cannot be reached, but a success rate over 50% on determining if I should buy or sell Bitcoin could be very profitable. Have there been any attempts to create such neural networks so far?

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  • $\begingroup$ Autoregression problem assumes that there is some relationship between the present and the past values. But in fact, there is too much randomness and unpredictability. I cryptocurrency cannot be predicted with a reasonable accuracy like the stocks market in principle $\endgroup$ Jan 24 at 20:32
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There are some academic works on that, but basically what you're asking for is a time-series estimation.

Here's a paper that tries to estimate Bitcoin price, for example: PAKDD: Forecasting Bitcoin Price with Graph Chainlets.

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  • $\begingroup$ To make this answer more useful, it may be a good idea to at least briefly describe their approach in the paper. $\endgroup$
    – nbro
    Jan 25 at 12:59

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