Experts predict Bitcoin’s next market peak will be in April or October 2025 based on historical patterns
Ali Martinez, a cryptocurrency analyst at Famend, believes that Bitcoin’s subsequent market peak is likely to occur in April or October 2025.
In an X article published on Wednesday, Martinez drew on historical patterns from Bitcoin halving events to highlight 4 key factors to consider as crypto groups approach the expected Bitcoin halving in April 2024. According to him, factors worth noting include post-halving corrections, important early post-halving rallies, and bull market periods.
Delving into the historical value patterns surrounding halving events, his assessment reveals ongoing developments. Notably, the expert noted that following the 2016 and 2020 halvings, Bitcoin experienced corrections of 30% and 7% within a month, respectively. Additionally, he highlighted noteworthy post-halving rallies, citing cases in which Bitcoin surged 11,000%, 2,850%, and 700% following halvings in 2012, 2016, and 2020.
By delving further into historical value patterns, Martinez reveals ongoing developments during the post-halving bull run. According to his analysis, the post-halving bull markets in 2012, 2016 and 2020 lasted 12 months, 518 days and 549 days respectively.
Nonetheless, Martinez suggested that if the upcoming bull run is in line with historical trends, the next Bitcoin market peak may occur around April or October 2025.
Martinez’s assessment comes as buyers remain optimistic about Bitcoin’s future trajectory, regardless of current value fluctuations. Some 48% of buyers expect Bitcoin to close above $50,000 during the halving, according to a new survey from Blockchain.com.
SkyBridge Capital founder Anthony Scaramucci revealed in his latest interview with Scott Melker, nicknamed "The Wolf of the Road", that he expects to have halved funds within 18 months. , Bitcoin could surge to no less than $170,000. Apparently, his prediction is also based on historical value trends, with Bitcoin consistently quadrupling in specific time frames following previous halvings
