Samson Mow's Valuation Model: Bitcoin Trading 24%-66% Below Fair Value Signals Potential Reversal

According to Samson Mow, CEO of Bitcoin technology company Jan3, Bitcoin is currently trading at a significant discount compared to historical valuation benchmarks. In a recent analysis, Mow argues that BTC is trading approximately 24% to 66% below its trend when measured against gold’s market capitalization or the global money supply, suggesting conditions that historically have preceded major price movements.

The current price action, with Bitcoin trading around $71.20K as of March 2026, reflects this valuation gap even as the broader market debates the asset’s near-term direction. Mow’s thesis hinges on comparing Bitcoin to established stores of value, particularly gold, which he characterizes as “overextended” at current levels.

The Valuation Gap: Samson Mow’s Analysis Compared to Gold and Money Supply

Mow’s valuation framework uses the BTC-to-gold ratio as a primary analytical tool. He notes that gold futures for April delivery closed at $5,247.90, while tokenized gold products like PAX Gold USD traded around $5,404.14 at the time of his analysis. This comparison forms the basis for his assessment that Bitcoin remains undervalued relative to traditional monetary aggregates.

The analysis extends beyond simple price comparison to encompass Bitcoin’s position within the broader monetary system. By measuring Bitcoin’s market cap against the global money supply, Samson Mow identifies what he perceives as a structural undervaluation that contradicts current market pricing.

Z-Score Patterns: Historical Evidence for Major Bitcoin Rallies

Central to Samson Mow’s thesis is the Z-score of the Bitcoin-to-gold ratio, a statistical measure that tracks how far the current price deviates from historical averages. A Z-score near 0 indicates prices align with long-term trends, while scores below 0 suggest undervaluation relative to historical norms.

Mow highlights a compelling historical pattern: whenever this ratio dropped below -2, Bitcoin experienced “major” subsequent rallies. The most striking example occurred in November 2022, when the Z-score fell below -3 amid the collapse of cryptocurrency exchange FTX. What followed was a remarkable 150% surge in Bitcoin over the subsequent 12 months.

Similarly, during the March 2020 COVID market crash, the Z-score fell below -2, and Bitcoin bottomed around $3,717. The following year witnessed an extraordinary 300% rally, with Bitcoin reaching approximately $69,000 by November 2021—what was then regarded as its all-time high.

Current Market Signals and the Z-Score Indicator

At the time of Samson Mow’s analysis, the Z-score of the BTC-to-gold ratio stood at approximately -1.24, according to data from TradingView. This reading sits well above the critical -2 threshold but maintains negative territory, suggesting incomplete valuation recovery compared to historical patterns.

The gap between the current -1.24 reading and the historical -2 to -3 range during major reversals raises questions about whether Bitcoin has further to appreciate before triggering the sustained rallies Samson Mow’s historical model anticipates. TradingView’s data confirms that previous instances of extreme negative readings consistently preceded explosive upside moves.

Contrasting Views: Samson Mow vs. Bearish Forecasts

Samson Mow’s contrarian position stands in stark contrast to prevailing bearish sentiment among some crypto market analysts. While Mow identifies historical undervaluation patterns suggesting bullish potential, other analysts forecast continued weakness, with some projecting Bitcoin could fall to $50,000 as investor uncertainty and geopolitical tensions mount.

These bearish forecasters point to potential parallels with the 2022 bear market, when Bitcoin fell more than 50% from peak levels before recovering to current levels near $66,400 following Middle East developments. The divergence between Mow’s valuation-based optimism and technical-based pessimism reflects the ongoing debate about Bitcoin’s fair value in a volatile macroeconomic environment.

Samson Mow’s analysis ultimately rests on the premise that mathematical valuation models and historical statistical patterns provide more reliable guidance than sentiment-driven forecasts—a perspective that will face continued testing as market conditions evolve.