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 (N>400 million)

An input- and an output-level dataset containing an ID for the sender/receiver (i.e. I cluster addresses) and the input/output value

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

Contact me if you are interested in collaborating