Markup<\/strong>. Prices begin trending higher with rising volume. Early signs include sustained breaks above multi-month resistance, on-chain accumulation by long-term holders converting to spending behaviour, and the first wave of new participants entering the market. Media tone shifts from negative to neutral. Sector rotation begins: Bitcoin leads first, then large-cap altcoins, then mid-caps, then small-caps in roughly that order. Markup phases historically last twelve to eighteen months and produce most of the returns of the cycle.<\/p>\n\n\n\n Distribution<\/strong>. Prices reach new all-time highs across most assets, retail participation peaks, media coverage becomes saturated with enthusiasm, leverage builds across the market, and on-chain data shows long-term holders distributing into retail demand. The structural conditions are deteriorating while the surface signals look the best they’ve ever looked. This is the phase during which most retail entry happens and most professional exit happens. Distribution typically lasts three to six months.<\/p>\n\n\n\n Bear market<\/strong>. Prices decline sharply from the peak, often by 70\u201385% on Bitcoin and 85\u201395% on altcoins. The initial decline is fast and shocking; the longer pattern is a grinding sideways-to-down market that exhausts even committed participants. Failed protocols and leveraged participants are flushed out. Retail attention collapses. The cycle resets and the next accumulation phase begins. Bear markets historically last twelve to eighteen months.<\/p>\n\n\n\n Bitcoin’s halving \u2014 the protocol-scheduled reduction of new coin issuance every four years \u2014 is the most-cited driver. The supply shock from the halving has historically preceded a major bull cycle by roughly twelve months. The supply effect is real, but it’s not the entire mechanism: the cycle is also driven by liquidity conditions (monetary policy, dollar strength), narrative cycles (every cycle has its dominant theme: ICOs in 2017, DeFi and NFTs in 2021, AI and real-world assets in 2024\u201325), and pure reflexivity (price action driving sentiment driving more price action).<\/p>\n\n\n\n Almost every asset rises during markup and falls during bear markets. The dispersion between assets matters at the margins; the dispersion between phases is enormous. A mediocre asset bought in early markup outperforms an excellent asset bought in late distribution by a factor of five or more on a typical cycle.<\/p>\n\n\n\n No indicator gives a clean read, but several together produce a useful picture. The Pi Cycle Top, MVRV Z-score, and on-chain long-term holder distribution metrics have historically aligned around major tops. The 200-week moving average and capitulation indicators have aligned around major bottoms. Retail attention metrics \u2014 Google Trends for “Bitcoin,” App Store rankings for crypto exchange apps, mainstream media tone \u2014 give the soft confirmation that quantitative metrics suggest.<\/p>\n\n\n\n Aggressive positioning in late accumulation and early markup. Defensive positioning in late distribution. Patience and structural accumulation in bear markets, when the headlines say the asset class is dead. The participants who consistently outperform across cycles are the ones whose risk appetite is inverse to retail sentiment, not aligned with it.<\/p>\n","protected":false},"excerpt":{"rendered":" Crypto markets have moved in roughly four-year cycles since the asset class became investable, and although every cycle is different in detail, the structural pattern has been remarkably consistent. Understanding where you are in the cycle is a meaningfully better predictor of medium-term returns than any analysis of individual assets. The four phases Accumulation. Following […]<\/p>\n","protected":false},"author":1,"featured_media":292,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-291","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nWhat drives the cycle<\/h2>\n\n\n\n
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<\/figure>\n\n\n\nWhere you are matters more than what you pick<\/h2>\n\n\n\n
How to estimate where you are<\/h2>\n\n\n\n
The implication for behaviour<\/h2>\n\n\n\n
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