How Low Will Bitcoin Go?

The Crypto Advisor is your trusted resource for navigating the world of cryptocurrency. Each week, we deliver a clear and concise update on the latest developments in crypto, straight to your inbox. This is more than just a newsletter; it’s an essential resource for forward-thinking advisors focused on maintaining a competitive edge. We’re excited to support your journey in adapting to and thriving in the new age of financial services. In every market cycle, no matter how complex the discussion becomes, conversations tend to converge on the same place. We tend to spend hours talking about macro liquidity conditions, positioning data, regulatory developments, institutional flows, or valuation frameworks. Those are the conversations we are supposed to be having - and they are important. But if you spend enough time speaking with clients, colleagues, or other market participants, most of those discussions eventually distill down to one simple question. Sometimes it’s asked directly. Other times it shows up at the very end of a meeting, almost as an aside - half joke, half serious - usually on the way out the door. “So… how low do you think Bitcoin could actually go?” It’s a fair question, and it’s also an impossible one to answer with precision. Markets do not move in straight lines, bottoms are only obvious in hindsight, and no single model has ever consistently identified exact turning points across cycles. But that doesn’t mean the question itself is useless. In professional portfolio management, the goal is rarely to predict exact outcomes. The goal is to understand how risk is distributed, how expectations are evolving, and where markets begin to cluster around certain ranges of possibility. Crypto is no exception to the fundamentals of finance. In our approach, rather than trying to identify a single “bottom,” we focus on a more useful question: where do multiple independent frameworks begin to suggest downside risk is likely to concentrate? That is the question this piece is designed to explore. Rather than relying on any single signal, we will look at two very different approaches - real-money probability markets that reflect live investor expectations, and long-term on-chain valuation models that function similarly to cost-basis frameworks by helping track how capital has historically moved through Bitcoin cycles. Neither method offers certainty. But when independent frameworks begin pointing toward similar downside zones, it can help frame the range of outcomes investors may want to be prepared for - regardless of where the exact bottom ultimately forms. One way to understand how markets are currently distributing downside risk is to look at prediction markets. Because participants are committing capital to specific outcomes, they can serve as real-time maps of where investors are currently willing to place risk across potential price ranges. Recent prediction market data suggests the highest concentration of downside probability currently sits in the broad sub-$50,000 range, with probabilities declining gradually as you move deeper into the $40,000s and then transitioning into lower-probability tail outcomes below that zone. In practical terms, markets are currently treating a move below $50,000 as a meaningful but not extreme scenario, while deeper downside into the low-$40,000s or below is still viewed as possible, but increasingly conditional on additional macro or liquidity stress. Kalshi data currently shows roughly 79% probability of Bitcoin trading below $60,000, approximately 68% below $55,000, and about 59% below $50,000. From there, probabilities begin to fall more quickly, with roughly 47% assigned to moves below $45,000 and approximately 37% below $40,000. This distribution suggests markets are pricing continued downside risk as a realistic base-case scenario, while still treating deeper drawdowns as increasingly dependent on external catalysts rather than structural inevitability. Polymarket data broadly reinforces this distribution, with roughly 78% probability assigned to moves below $55,000, approximately 63% below $50,000, around 43% below $45,000, roughly 36% below $40,000, and near 22% probability of moves below $35,000. The most notable transition appears to occur between roughly $45,000 and $50,000, where downside probabilities shift from high-conviction expectations into more balanced outcomes. In practical terms, this suggests markets are currently pricing meaningful downside volatility, while still treating deep bear-case scenarios as possible but not dominant expectations. Another useful way to frame potential downside risk - and ultimately help inform the question we are trying to answer, how low will Bitcoin go - comes from on-chain valuation work popularized by market analyst Ben Cowen, who has spent years studying long-term cycle behavior through blockchain-derived price models. While this framework approaches the question from a completely different angle than prediction markets, it instead attempts to answer where durable cycle bottoms have historically tended to form relative to the broader cost structure of the market. These models are typically referred to as on-chain valuation models, but in practice, they function similarly to cost-basis frameworks by helping illustrate where capital has historically accumulated, been distributed, and ultimately reset during prior Bitcoin cycles. Rather than reflecting forward-looking investor belief like prediction markets, these models instead focus on historical capital behavior and long-term structural positioning across market participants. Cowen’s framework largely centers around three primary on-chain price models - transferred price, realized price, and balanced price - often referred to simply as “the three lines.” Historically, these levels have provided useful context for understanding where markets tend to transition from late-cycle drawdown into longer-term accumulation phases. Here are the three key definitions: Transferred Price - A long-term on-chain metric that reflects the average price level at which Bitcoin has historically been spent across the network’s lifetime, acting as a behavioral average of economic activity. Realized Price - The average price at which all Bitcoin last moved on-chain, commonly viewed as a market-wide cost basis proxy for current holders. Balanced Price - A derived metric based on transferred price and realized price that has historically helped identify levels where excess speculation has been flushed from the system, with durable cycle bottoms often forming near or slightly below this level. Cowen’s core argument is that because Bitcoin has historically fallen below the realized price during major drawdowns - and, in most cycles, has also gone on to fall below the balanced price before forming a durable bottom - there are reasonably good historical odds that both levels at least get tested during a full cycle reset. In other words, while these levels are not precise price targets, they have historically acted as structural checkpoints where late-cycle excess is fully cleared from the market. As of right now, these moving targets sit at roughly $55,000 for realized price and around $40,000 for balanced price. If historical cycle behavior were to broadly repeat, this would suggest Bitcoin would at least be expected to test levels near realized price during deeper drawdowns, with durable long-term bottoms historically forming closer to, or slightly below, balanced price levels. That does not guarantee the same outcome this cycle, but it does provide historical context for where full market reset behavior has tended to occur. Taken together, what makes this analysis compelling is not that either framework produces a precise price target, but that two completely different approaches - one forward-looking and belief-driven, the other historically grounded and behavior-driven - are currently pointing toward broadly similar downside z…