If you had a bunch of Bitcoin price data, and you wanted to extrapolate in to the future for retirement or DCA estimating, and that data fit a power law, the natural thing to do would be to create a Markov model with transition probabilities derived from quantile power law fits to price data and then take several hundred weighted random walks to get a feel for where one ends up after say 10 years…
This sort of thing used to take a while on a computer; I can now do it on your phone…sorta…I precomputed about ½ a gigabyte of simulation results for instant lookup, but I think I will figure out how to integrate @BTCPay Server so people can pay for the compute cycles to simulate their exact scenario. Is 50¢ for high quality digital graphs of your retirement too expensive? I think I’m gonna corner the sub-$1 financial planner market 🤣
Coming soon to https://quantoshi.xyz/ !
This sort of thing used to take a while on a computer; I can now do it on your phone…sorta…I precomputed about ½ a gigabyte of simulation results for instant lookup, but I think I will figure out how to integrate @BTCPay Server so people can pay for the compute cycles to simulate their exact scenario. Is 50¢ for high quality digital graphs of your retirement too expensive? I think I’m gonna corner the sub-$1 financial planner market 🤣
Coming soon to https://quantoshi.xyz/ !