About this app
What is Monkey God?
Below is the graph of 1-month rates from CNBC. They are about to cross the zero boundary.
When that happens, commodities prices are going to get completely unhinged. The cash on corporate balance sheets is going to start losing purchasing power very fast. And that will only encourage more dumping of it, and increase the positive feedback loop now already in place.
They can dump it for BTC, sure. But that’s not going to help at all. Why not? Because the value of BTC depends entirely on the U.S. dollar still being usable in a basic sense as a currency. If the dollar falls, so does BTC, because BTC is not fundamentally useful other than as a way of transferring dollars or other fiat currencies. If there is no value to transfer, there is no value to the transfer tool. Corporates are going to have to dump extra paper currency for gold, quickly, yesterday, or they are going to lose everything. Same for individuals. Time is almost out now, I’m sorry to say. Good luck out there, and if you want a guide during these crazy times of monetary chaos, follow me on SeekingAlpha, and sign up for a free trial at The End Game Investor.
How to play Monkey God
“Here’s an API. Bernard and 88 other people can market-make all these request-for-quotes (RFQs),” Marantelli says. “Some people might come in and just do esports because they’re esports experts. Others do everything. Some focus on same-game parlays. But it’s a sportsbook.”
The institutional layer is largely invisible to customers presented with a P2P proposition. Retail users may technically trade against one another, but the depth required by a mass-market product cannot be supplied by occasional customers alone. Professional firms must be prepared to quote continuously and commit substantial capital.
Marantelli says the London-based White Swan is a significant market maker on several secondary exchanges, accounting for as much as 40% of activity on some platforms. Its particular focus is the RFQ, parlay market.
What is Monkey God?
The charter does not create new regulatory obligations and was designed to complement legislation including the EU AI Act and GDPR.
Instead, it proposed a risk-based approach. It suggested lighter controls on use cases such as coding assistants, but strong checks on customer-facing functions, particularly those involving fraud and responsible gambling.
Kenneth Brincat, CEO of the MDIA, said companies needed “practical ways” to better understand where AI fits within their businesses.
