The first formula that we discover may appear as a trivial model: the returns of BCH are larger when the influential site Bitcoin.com, an advocate of BCH that also operates a wallet service, throws its weight to support BCH. Model 1 is shown (variable names are shortened for readability).
\((BTC_{returns})\ >\ (BCH_{returns})=(-BTCbitcoincom)\ >(-BCHbitcoincom)\)
We keep running new generations of our evolutionary search (an example, see two more models in the Table of Figure 16), and more informative relationships emerge; non-mainstream search engines where demand signals begin to pop-up, also mining pools, and even informational sites. Several iterations can be run, and if we do it over larger sample sizes (instead of the 200 sources, we use the original 1000, or even 10.000) and more time periods (temporal steps measured in weekly or daily returns, instead of months), likely many other interesting relationships will appear.