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Seasonal patterns show there are certain months in which bitcoin posts particularly strong returns.
"Sell in May and go away." "The Halloween Effect." "Santa Rally." These well-worn phrases from the world of TradFi hint at some of the seasonal trading patterns found in the stock markets—and the crypto world is no different.
"Seasonality" in the stock market refers to recurring patterns or tendencies that occur at specific times of the year.
Seasonality does not predict how the market will perform at different points in any given year, but it can provide insights into potential trends, because the observed patterns are based on long-term historical data and have broadly held true over many decades. Examples of seasonality in the stock market include:
Over the course of its 14-year existence, Bitcoin has posted strong average returns, but these have been quite "lumpy", with heavy drawdowns in bear market years.
Breaking it down further, there are certain months where Bitcoin, on average, posts a particularly strong return. April (39%), October (30%), and November (40%) have historically outperformed, while August and September have seen slight losses.
Looking at an even more granular picture, there are months that have historically experienced very few negative returns (February, October), and months that have seen very few positive returns (March, September). A small number of very strong returns might offset otherwise consistent losses, and vice versa.
Occasionally, altcoins outperform against bitcoin—that is, not only does their USD value increase, but so does their BTC value. This is known as "Alts Season", and typically happens after a rally in bitcoin, when traders roll profits into altcoins they perceive as undervalued. Bitcoin Dominance necessarily decreases as money flows into alts.
Alts Season does not happen at a specific point in the year, as with other seasonal patterns, though may be more likely to occur after a season in which BTC has performed strongly.
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