Available on the project website

Monthly stock returns and performance metrics for all possible double-sort trading strategies constructed from 102 stock market anomalies

Returns and performance metrics for the double-sort-based out-of-sample trading strategy

A block-level dataset containing the time, name of the miner if it is a mining pool, difficulty, size, and revenue

A transaction-level dataset containing the total amount sent, change (estimated), and fee (>400 million observations)

An input- and an output-level dataset containing sender/receiver IDs (i.e. I cluster addresses to IDs) and input/output values

A dataset that maps IDs into real entities (e.g., mining pools, exchanges, and gambling sites)

Contact me if you are interested in collaborating