Monthly ups and downs in BTC from 2017

Someone here in the chat claimed to have found a "winning" strategy, because he analyzed the history of BTC on a daily manner und came to the conclusion that there is a pattern, that allows him to identify the best days to buy and sell BTC (or crypto). While he wouldn't tell us the days when BTC is low in month and when it is high, he was sure that he can use it for trading at all.

I don't think that is good for doing this for daily trading here buy low this month sell high this month and do this next month again. No. But if this pattern exists I can imagine, that it could be useful to know about on the long road. So if you buy every month / week your crypto while in bear-market and then selling a bit every month / week in bullmarket. Knowing the days when crypto is up and down during the months could be nice benefit.For he was not willing to let us know the days

I created a little excel file with BTC highs and lows from 01.01.2017 until today and took 1st, 2nd and 3rd high day of a month (jan 2024: 8, 10, 11) and the 1st, 2nd and 3rd low of a month (jan 2024: 22,23,25) and listed them all up, counted together and compared them against each other in percent: so for the first day in month we have 58 days in the top 3 of up and down. 29 in up and 29 in down - so they are even with 100% (no winner here). While the second day in month has made it 31 times in the top 3 of up or down ( 21 times top three down and 10 times top 3 up) so compared down wins with 135,48% against 64,52%.

Just wanted to share my data with you. No financial advice can be found here. But I would be happy to discuss the results.

Edit: thanks to u/IsmellPenn

Heres the link to origonal post that op is refering to for this https://www.reddit.com/r/CryptoCurrency/s/R1h417TTCs

Edit2: There was an error in my formula counting the first day twice. So i deletetd the old screenshot. You may try it with your own data now: http://gofile.me/6Ul4e/bVYzfiKnC

​

https://preview.redd.it/19h5nl8ss4gc1.png?682&format=png&auto=webp&s=a26451af36a8e6f8056af2048875ea367f011dcd