Cryptocurrency mining selection system and method

A token mining selection system, comprising a server, wherein the server comprises a processor and a memory, and a plurality of mining devices, wherein each of the plurality of mining devices is configured to perform token mining activities;

• wherein the processor is configured to:
• (a) store a token dataset that describes one or more mineable tokens;
• (b) receive a market input dataset from one or more market data sources, and determine a set of market characteristics for each of the one or more mineable tokens based on the market input dataset, wherein the set of market characteristics includes at least a value;
• (c) receive a crowd input dataset from one or more crowd data sources, and determine a set of crowd characteristics for each of the one or more mineable tokens based on the crowd input dataset, wherein the set of crowd characteristics includes at least a sentiment;
• (d) monitor one or more distributed ledgers and produce a distributed ledger dataset, wherein the one or more distributed ledgers include at least one public distributed ledger, and at least one private distributed ledger;
• (e) determine a set of mining characteristics for each of the one or more mineable tokens based on the distributed ledger dataset, wherein the set of mining characteristics includes at least a degree of difficulty, a hashrate, and a number of wallets;
• (f) create a predictive model for the one or more mineable tokens based on the set of market characteristics, the set of crowd characteristics, and the set of mining characteristics for each, wherein the processor is configured to, when creating the predictive model:
• (A) generate an information matrix that describes a plurality of relationships between the set of market characteristics, the set of crowd characteristics, and the set of mining characteristics;
• (B) create the predictive model using a deep neural network and based on the information matrix;
• (C) periodically validate the predictive model based on sensitivity analysis of parameters used by the predictive model, and accuracy of the predictive model;
• and
• (D) based upon the periodic validation, periodically perform new training of the predictive model;
• and
• (g) provide an instruction the plurality of mining devices based on analysis by the predictive model of the one or more mineable tokens, wherein the instruction is associated with a selected mineable token of the one or more mineable tokens, and
• wherein the plurality of mining devices are configured to, in response to the instruction, perform token mining activities on a distributed ledger associated with the selected mineable token.