Willy Woo Maps Bitcoin (BTC) Median Path to $1.03 Million by February 2033

10,000 Random Paths, a $1.03 Million Median

On-chain analyst Willy Woo has run 10,000 Monte Carlo simulations of the Bitcoin (BTC) price path, and the median route does not reach $1 million until February 2033, according to a model he published on X on Monday. A Monte Carlo method of this kind fires thousands of random trials to map the full spread of outcomes instead of fitting one trend line, and Woo trained his on price action rather than fundamentals. His reasoning comes before the figure. Woo stripped out the market's earliest years, when 100x gains arrived routinely, and trained the random walk only on data from the 2018 bottom to the 2022 bottom. Derivatives, exchange-traded funds and fast liquidations, he argues, describe today's market far better than records from cycles that no longer exist. The decay parameter sits at 0.45 on a power-law curve, shrinking the returns available in each successive cycle, and the model also tracks where Bitcoin (BTC) sits inside its market cycle at every step. He is explicit that the output is a simulation, not a prediction, yet still offers a view on which slice of the distribution looks sensible: the 28th to 50th percentile, which puts the 2028 cycle top between $241,000 and $413,000. The median path itself first falls 43% from its 2028 high before it grinds toward seven figures six years later. Woo also flagged the 29th percentile path for a reason that cuts the other way: it never reaches $1 million at all, so holders waiting for that level sit through more than six years of the median scenario without being paid. The $1.03 million median print for February 2033 stands far above any all-time high Bitcoin has set so far. Seven-figure territory, in other words, is a 2033 event in the central case, not part of the coming cycle top.

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Model he published on X.

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From $51,900 to $1.44 Million by 2030

The four paths Woo singled out fan out widely once the cycle turns. The median path peaks at $413,000 in December 2028 before easing to $234,000 by April 2030. Percentile paths describe ranking, not probability bands: the 29th percentile path simply outperforms 29% of the 10,000 trials, which is why Woo can point to it without claiming it will happen. That path, the conservative edge of the band he called reasonable, peaks at $241,000 in December 2028 and bottoms at $126,000 by April 2030. Woo picked it for a structural reason: Bitcoin's next bottom has historically bounced off the prior cycle top, never printing beneath it, and the 29th percentile path is the one that preserves that record while still missing $1 million entirely. At the extremes the spread becomes enormous. The 90th percentile path reaches $1.44 million in March 2029, while the 10th percentile path sinks to $51,900 by April 2030. Every one of the four highlighted paths posts its cycle high inside the same window, between December 2028 and March 2029, so the simulation argues about the size of the next top rather than its timing. A separate 500-day count tied to the Bitcoin halving marks 2029 as the sell window. The model's own chart carries the caveat: it assumes future returns resemble the 2018 to 2022 record, so any change in market structure breaks it. Cycle-timing tools already ran that test in June, when Bitcoin (BTC) traded under every band of that rainbow chart, the color-coded valuation model our Bitcoin Rainbow Chart walkthrough explains in detail. The June undershoot is the kind of structural surprise that sits outside anything the 2018 to 2022 training window can price. If the decay curve keeps holding, every cycle produces smaller multiples and pushes seven-figure targets further down the calendar.

The Assumption the Model Cannot Escape

Our reading is that the weakest link is the one Woo states himself: the model assumes the 2018 to 2022 record is the right teacher. Our own on-chain reads point the same direction at the margins. short-term holder profit share has slid to 70% in a month, and whale inflows to Binance fell 35.6% over two months. Neither datapoint invalidates the simulation, but both describe positioning that already behaves like a late-cycle market, which is exactly the phase the 0.45 decay setting is meant to compress. If market structure keeps shifting, the first number to move is the 2033 date.