Is it possible to predict the end of the Bitcoin bull using artificial intelligence and on-chain data?
A writer at the on-chain data platform CryptoQuant detailed whether the end of the bull in Bitcoin can be predicted using on-chain data and artificial intelligence.
The analyst indicated that the “Adjusted Spent Output Profit Ratio” or aSOPR will be used to show the average profit or loss ratio of the sold Bitcoins within a time range. The analyst also mentioned that Bitcoins sold within an hour will not be taken into account.
The time periods prepared by the analyst based on the aSOPR data prepared are as follows;
🔴 Jan 12 18 – Mar 25 19: Bitcoin moved at a loss for 440 days
🟢 Mar 25 19 – Sep 23 19: Bitcoin moved at a profit for 180 days
🔴 Sep 23 19 – Apr 22 20: Bitcoin moved at a loss for 215 days
🟢 Apr 23 20 – May 14 21: Bitcoin moved at a profit for 387 days
🔴 May 14 21 – Jul 16 21: Bitcoin moved at a loss for 63 days
🟢 Jul 16 21 – Nov 18 21: Bitcoin moved at a profit for 125 days
🔴 Nov 18 21 – Mar 05 23: Bitcoin moved at a loss for 472 days
🟢 Mar 05 23 – Jun 01 23: Bitcoin moved at a profit for 83 days
🔴 Jun 01 23 – Oct 21 23: Bitcoin moved at a loss for 141 days
🟢 Oct 21 23 – Mar 07 24 (current date): Bitcoin has been moving at a profit for 138 days.
The CryptoQuant writer, who stated that he asked artificial intelligence for this data, pointed out that, considering the data from previous cycles, the rise periods ranged from 83 to 387 days, therefore an average of 235 days can be assumed.
Accordingly, it was stated that based on the average, the current 138-day rise period could be expected to last approximately 100-150 more days, which translates to around July on average.
