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RE: The key to long term success for any crypto project is winning global sentiment (data analytics)
Mnuchin "One of the areas we will work very closely with the G20 is that it will not turn into Swiss bank accounts," he said, pointing to the G20's readiness to handle cyrpto currency controls. It is clear that decisions to be made at the G20 will not be useful for crypto coin. I will continue to videotape now. I left half the video to comment @dana-edwards
What is that quote from? That said, all data which is relevant should be analyzed no matter where it came from. The question to ask is why regulators fear Swiss bank accounts and what are the motivations of these regulators?
Regulators have their own missions, their own agendas, and they are a demographic. They are not the only demographic. The interests of regulators in my opinion should be considered and they should have a voice but their voice should be one of many. The function of regulators, such as why regulators exist (their core mission), if these are missions which the public accepts and wants to exist, then the crypto if it is to go mainstream must appeal to these missions.
What is the sentiment of the mainstream user? Where does the mainstream user fall on the question of privacy? The mainstream users might demand privacy and if global, then global sentiment might be dramatically in favor of privacy while a few regulators in a few countries might want to ban encryption. We simply do not have the data to really know which side ultimately has the support of global or even local sentiment.
So first we would have to find out what the people actually want. Do people want privacy or transparency and in what ways, how much, which features? Do the people fear more the risks of excessive secrecy or the risks of excessive transparency? Do the people care more about opportunities or avoiding risks? These are all important questions which require big data analytics to answer.
Everything is data analysis. I assume there is an analysis of the stock exchange order. The moves made by politicians have a great influence on stock markets. For example, Donald Tramp. We can evaluate these effects as job calls for data analysts. After that, the phase of the understanding from the recurrence takes place. We can not ignore the influence of politicians on the stock market.