Fields finance. Another way to analyze the condition of asymmetry is by looking at trust imbalances among the same set of variables. 
The flow can also be visualized on a higher dimensional space.
we slice the array in months
\(\left\{Returns_{BCT}\ ,\ Returns_{BCH}\right\}=\left\{f\left(x,\ y\right),\ g\left(x,\ y\right)\right\}\)
in this way we force the evolutionary algorithm to choose the best model that simultaneously contains both variables

Conclusions

Digital assets detractors usually say that there is no proven demand for cryptocurrencies, but we have demonstrated that demand not only can be measured, but that crypto-economies can be ranked as demand evolves. Perhaps the exercise of comparing Bitcoin and BitcoinCash is not entirely fair (after all BTC had the first mover advantage), but the heuristics that we have learned from the data have relevant applications nonetheless. For instance, one could identify what are sources of systemic importance, or what traffic is overpriced or underpriced. And since in blockchains transaction count and exchange volume can be faked by batching transactions and other tricks (not to mention rampant market manipulation, of what the BCH whales have been charged more than once), one of the viable measures of value might be actual supply and demand of attention.
Furthermore, if crypto assets defy the “Efficient Market Hypothesis” and the idea that all available information is encoded in prices, something more profound may be going on here: beyond any of the traditional definitions of utility, disintermediation of trust by itself might entail a premium.
In that case, the value of the chain may reside on the chain itself: the nodes running the software are simply an expression of people’s beliefs — being that the belief that the market can be manipulated for personal gain, that it is about time to challenge the government monopoly on money, that algorithmic money might be the more convenient utilitarian artifact to conduct transactions if you have already digitized a large part of your day-to-day activities, or else. This belief consensus is a human-machine construct, and perhaps this is why economists who are not trained as technologists have a hard time grasping the implications.
But what is more intriguing is that what the quantitative analysis reveals is not conflicting at all with the definition of intrinsic value — value is, after all, a matter of perception. So the argument that cryptocurrencies have no intrinsic value is without merit, and as we have demonstrated, not backed by data.
The intrinsic value is the actual value of a company or an asset based on an underlying perception of its true value including all aspects of the business, in terms of both tangible and intangible factors. This value may or may not be the same as the current market value.
Applications of this research include Discreet Log Contracts \cite{dryja}  have the potential to enhance the use cases of Bitcoin and other cryptographic currency networks by allowing users to discreetly enter in to futures contracts for a wide variety of assets, trusting oracles only to sign the correct price.