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# Bitcoin (BTC) Experiences Its Most Dismal February in Over a Decade
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Just when I believed I was done, they draw me back in. This iconic quote from cinematic classics like The Godfather appears to aptly portray the current situation on the Bitcoin (BTC) price graph.
Nevertheless, today’s trading activity indicates that might not be the reality. As the US stock market commenced with a 0.52% increase, Bitcoin’s price unexpectedly decreased by 1.48%, reaching a low of $85,400. Earlier this week, the market participants witnessed a sell-off that concluded with $1.5 billion in perpetual futures liquidations, and numerous individuals held the expectation that the worst had passed.
Examining the broader context, this represents the lowest trading price for the foremost cryptocurrency in three months, dating back to last November. This implies that all the advancements, particularly those that propelled Bitcoin to its all-time peak of $109,588, have been effectively nullified.
## The Most Unfavorable February
To exacerbate the situation, February of this year actually marked Bitcoin’s most disappointing month in nearly 11 years. Based on CryptoRank data, the last instance of the major cryptocurrency exhibiting such a subpar performance in February was in 2014, when Bitcoin registered a 33.7% correction. Since then, there hasn’t been a second month of the year this unfavorable, until the present moment.
The subsequent month is March, with an average return of 11% in the initial month of spring.
Considering the data from past costs, an increase of 8% is worth noting. Nevertheless, the average variance is rather substantial, recorded at -2.10%.
Despite these numbers, it could be prudent to utilize them as a guide, and they may possibly result in some fascinating insights. Deriving inferences from these details might imply that previous patterns are not dependable for forecasting the forthcoming path of the digital currency marketplace. Remember that crypto markets are notorious for their unpredictability and can be swayed by numerous elements surpassing prior data.
