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Very interesting because this graph is proving that S&P500 and Bitcoin are almost negatively correlated (-0.7), which means that when one goes up the other goes down and vice-versa.
Markets are too complex to be measured and analyzed using math and equations. If it were otherwise, anybody could become ultra rich writing some simple equations and an automated script that trades and generates them a massive income.
This is exactly the reason why some people claim that financials is not supposed to be a scientific field. I am not in favour not against this claim because I am completely irrelevant with the field. I do have a financial background but nothing to do with financials.
I honestly don't see actual correlation here, specially when we have these.
2x rise from 2015 to 2016 <=> a small drop in S&P500
a big crash from 2018 to 2019 <=> a small rise in S&P500
a big rise from 2019 to 2020 <=> a small drop in S&P500
Hmm, I think d5000 has given a much more fulproof answer than me, because it's calculated using the full dataset, whereas I used yearly prices.
Just out of curiousity I plan to make a daily-based calculation correlation calculation, to see how different it is.
But overall, you seem to be right that my estimation is notional (theoretical and perhaps wrong).