When to Buy and Sell Crypto: A Beginner's Guide to Market Timing
01 Apr 2026 · 07:08 UTC · Medium » Coinmonks RSS Feed · Original source
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Summary
An educational guide on cryptocurrency trading strategy by Daniel Gaia. The article presents a market timing approach based on two main frameworks: Bitcoin's 4-year cycle and Global M2 money supply correlation. Bitcoin follows a repeating 3.92-year cycle consisting of approximately 152-week bull markets followed by 52-week bear markets, which has occurred four times historically. Global M2 money supply is recommended as a leading indicator; Bitcoin typically follows M2 movements with a 75-day lag during bull markets but decorrelates during bear phases. As of April 2026, Bitcoin is identified as being 6 months into a bear market following a 152-week bull market, with a predicted bottom around October 2026. The strategy recommends buying during early-to-mid bull markets after pullbacks when M2 shows strong upward momentum, and selling altcoin holdings when M2 moves sideways or pulls back. The article advises against trading based on news, arguing news tends to be most positive near price peaks and most negative near bottoms. The guide includes backtesting over previous cycles showing historical profitability, sections on when to buy, what to buy, when to sell, futures trading (not recommended for beginners), and trading bot recommendations. Multiple exchange referral links are provided throughout the article.
Why it matters
Market impact operates through trader behavior adaptation when educational content influences decision-making. If this guide gains traction among retail and semi-professional traders, several mechanisms could affect prices: First, the presented Bitcoin 4-year cycle as historically 'undefeated' with precise metrics (152-week bull, 52-week bear) may convince traders to delay purchases until the predicted October 2026 bottom, creating near-term selling pressure. Second, the Global M2 money supply correlation provides a technical framework that feels objective, potentially creating consistent trading signals if widely adopted. Third, confirmation that Bitcoin is currently 6 months into a predicted 12-month bear market reinforces bearish sentiment. Key uncertainties: cycle predictive power may have degraded; M2 correlation with 75-day lag is acknowledged as imprecise; market makers, institutional adoption, and regulatory changes could disrupt patterns; author credibility is undermined by referral links suggesting profit motives. Altcoins show higher sensitivity—the strategy explicitly recommends reduced altcoin exposure during bear markets, potentially creating distinctive downward pressure. Minute/hour traders are unlikely to adopt this longer-term approach; weekly/monthly traders might internalize the cycle theory significantly, making their behavioral response the primary mechanism.
Expected impact
This educational guide presents a cryptocurrency trading strategy based on Bitcoin's historical 4-year cycles and Global M2 money supply correlation. The article predicts that Bitcoin is currently in a bear market phase (as of April 2026) that should persist until approximately October 2026. If widely adopted, this strategy could influence market behavior by: (1) persuading traders to avoid aggressive buying until October 2026, creating selling pressure; (2) encouraging profit-taking and reduced risk exposure during current weakness; (3) affecting altcoins more severely, as the strategy recommends minimizing altcoin exposure in bear markets; (4) creating self-reinforcing bearish sentiment as traders implement the predicted timing. The technical framework—M2 correlation with 75-day lag, 152-week bull markets, 52-week bear markets—could become a self-fulfilling prophecy if adopted by sufficient traders. However, impact is limited by the article's educational nature rather than breaking news, moderate credibility concerns including referral link conflicts of interest, and acknowledged uncertainties about cycle continuation. Altcoins would face particular pressure as traders reduce exposure per strategy recommendations.