Fundstrat co-founder and BitMine chairman Tom Lee said explicitly in a CNBC interview on April 9, 2026 that clear bottoming signals have emerged in the market. The Wall Street strategist, who has long been bullish on crypto assets, also reiterated his bullish stance on Ethereum and Bitcoin and grouped them together with the asset categories he favors, including the energy sector, U.S. mega-cap seven (MAG7), and the software sector. This remark quickly drew widespread attention across the industry—not only because Lee, as a “well-known Wall Street bull” whose market influence is significant, but also because of the logical framework behind his “bottoming” judgment. He is not making the call based solely on price patterns; instead, he combines structural changes in on-chain activity with the trend of marginal inflows of institutional capital. Worth noting is that at the same time Lee made the above judgment, the crypto market is in a transition period from “extreme panic” to a “technical repair.”
How is the actual market performance of BTC and ETH?
As of April 9, 2026, according to Gate market data, Bitcoin is locked in a fierce battle around the $71,000 level. Driven by the easing of U.S.-Iran geopolitical tensions and a rebound of ETF capital inflows, BTC has surged strongly from the prior low to above $71,000, reaching a high of $72,800 within 24 hours before pulling back. Ethereum is strengthening in tandem: the ETH price has risen to above roughly $2,200, and its 24-hour gain at one point exceeded 7%, performing better than BTC over the same period.
Looking at a broader time horizon, ETH’s overall performance since 2026 is still within a correction range after the highs reached in 2025. The current price is forming a base around $2,100 to $2,200. The short-term support level is in the $2,000 to $2,100 range, while the resistance level is $2,200 to $2,300. The two leading players are rising together with expanding volume, and market risk appetite has clearly rebounded, but overall sentiment remains cautious.
Are on-chain data really validating the “bottoming” logic?
One important support for Lee’s bullish case comes from structural changes in on-chain data. According to CryptoQuant data, Bitcoin daily transaction volume has risen to about 615,000 transactions, the highest level since November 2024. More importantly, the distribution of Bitcoin address types has shifted significantly: the share of P2WPKH addresses increased from 62.21% to 71.64% between March 1 and April 1, rising by 9.43 percentage points. This kind of change in address structure typically reflects on-chain consolidation and wallet rebalancing by institutions and custodial platforms in a low-fee environment, suggesting that “smart money” is quietly positioning itself.
Meanwhile, the number of active Bitcoin addresses has fallen to the lowest level in nearly 8 years. This seemingly contradictory combination—transaction volume reaching a new high while active addresses reach a new low—precisely forms the micro-level foundation for Lee’s “bottoming” judgment. Low active participation means short-term speculators have largely exited, leaving mainly holders that are accumulating over the long term on the network. The trough in active addresses often coincides with the long-term base-building window that offers the highest profit potential.
What bottom signals are provided by miner behavior?
Miner behavior is another important reference dimension for judging a market bottom. On April 7, 2026, the Miner Position Index (MPI) fell to 0.3, indicating that miners sharply reduced the amount of BTC transferred to exchanges, down to the lowest level since records began. An MPI value below 1 means miners’ sell pressure is below their daily average, and the current reading of 0.3 is far above this threshold, reflecting clear behavior of holding rather than selling.
On-chain data shows that the outflow of miner wallets to exchanges has decreased by more than 40% compared with last month. This trend coexists with the fact that computing power remains close to historical highs, meaning miners are still actively producing BTC but are choosing not to sell for now, implying an expectation that prices will recover in the future. As miner selling pressure dries up, it reduces effective market supply, and given that demand remains unchanged, it will provide upward support to prices. From historical experience, MPI bottoming is often strongly correlated with the price bottoming range, even though there is a lag in how it transmits to actual prices.
Can institutional capital inflows support a market reversal?
ETF fund flows are a key external variable for validating a market bottom. On April 6, 2026, U.S. spot Bitcoin ETFs recorded roughly $471 million in net inflows in a single day, the highest peak since February 25 and also the sixth-largest single-day inflow in 2026. Among them, BlackRock’s IBIT attracted $181.9 million in net inflows on a single day, Fidelity’s FBTC received $147.3 million, and Ark’s ARKB also saw inflows of $118.7 million. More importantly, this strong wave of buying completely erased the net outflow of $173 million on April 1, marking a structural return of institutional confidence. At the same time, Ethereum spot ETFs also recorded a net inflow of $120.2 million on the day, its best single-day performance since mid-March. The spot Bitcoin ETF launched by Morgan Stanley (MSBT) recorded inflows of about $34 million in its first day of trading on April 9, further expanding the compliant entry channels for institutions. Continued replenishment of ETF fund flows provides the market with structural marginal buy-side support and has become one of the most persuasive macro-validation indicators in Lee’s “bottoming” assessment.
Why is there a time lag between analysts’ “bottom signals” and the market’s real bottom?
Although on-chain data and institutional fund flows both show positive marginal changes, an industry-wide challenge that has long existed must be faced: there is usually a significant time gap between analysts’ “bottom calls” and the market’s real bottom. This phenomenon is not caused by insufficient analytical ability, but is determined by the mechanism through which market bottoms form.
Establishing a market bottom does require a resonance of multiple conditions: improvement in the macro liquidity environment, fading geopolitical uncertainty, sustained inflows of allocation capital by institutions, and a bottoming out and stabilization of retail sentiment. In the current environment, expectations for Fed rate cuts are still being delayed repeatedly. The probability of a rate cut in April is 0%, and only 12% in June. Market expectations for the first rate cut may therefore slip to September. On the geopolitical front, although news of a ceasefire between the U.S. and Iran has emerged, the overall situation still carries significant uncertainty. The Fear and Greed Index has remained in the “extreme fear” zone for a long time, setting the longest fear persistence period since 2026.
The combined effect of these factors means that even if fundamental signals have already turned positive, it still takes time for market confidence to be rebuilt. Lee’s own track record also supports this: while his directional calls are often accurate, his timing tends to show clear “early” characteristics. His 2017 prediction of the Bitcoin value center gradually came to fruition between 2021 and 2022, demonstrating the reliability of long-term judgment, but also revealing the difficulty of short-term timing.
What does Tom Lee’s historical prediction accuracy show?
Looking back at Lee’s publicly stated prediction record, it is possible to evaluate the credibility of his “bottoming” judgment more objectively.
In 2017, Lee released 《A framework for valuing bitcoin as a substitute for gold》, becoming the first Wall Street strategist to include Bitcoin in a mainstream valuation framework, and predicted that the Bitcoin value center in 2022 would be $20,300. This long-term call was gradually validated during the process in which BTC reached $20,000 in December 2020 and hit $55,000 in March 2021.
In the macro arena, he accurately predicted a “V-shaped rebound” in U.S. stocks when the 2020 pandemic broke out, and his 2023 judgment that the S&P 500 would reach 5,200 points in 2024 has also become reality.
However, Lee’s short-term predictions also have clear miss records. In January 2018, he predicted that BTC could reach $125,000 by 2022, but the actual peak was far below that target. In early 2018, he predicted that Bitcoin’s price could reach $20,000 within that year, but by year-end it was only about $4,000.
This “long-accurate, short-biased” characteristic, in essence, reflects the nature of Lee’s prediction framework. He is better at making long-cycle judgments based on macro trends and asset characteristics, while having limited ability to capture short-term fluctuations driven by market sentiment. Therefore, positioning his latest “bottoming” judgment as a trend signal rather than a timing tool is a more reasonable interpretation.
Which changes in the current market structure are worth ongoing tracking?
Final confirmation of a market bottom requires cross-validation from data across multiple dimensions. From the supply side, miners’ sell pressure has fallen to historic lows, but the issue of mining cost being inverted versus price remains severe. The weighted average cash cost of listed mining companies is as high as $79,995, about 12% higher than the current BTC price. If the price cannot recover effectively, some miners’ survival pressure may once again turn into sell pressure. From the demand side, ETF inflows are currently the most reliable source of structural buy-side support, but whether they can continue depends on the evolution of the macroeconomic environment and regulatory policies. From on-chain behavior, the “heat-cold differentiation” formed by the rise in transaction volume alongside the shrinking number of active addresses can point either to an accumulation stage dominated by long-term holders, or to a structural contraction in market liquidity. In addition, the relationship between Bitcoin and global monetary policy is undergoing profound changes. Research shows that Bitcoin has shifted from being a “lagging acceptor” of macro policy to becoming a “leading pricer.” ETF-driven institutional capital is reflecting future policy expectations in a forward-looking manner, and this shift may require recalibration of traditional bottom-judgment frameworks.
Summary
Tom Lee’s judgment that “clear bottoming signals have appeared in the market” is not just a simple call driven by sentiment; it is built on a series of quantifiable on-chain indicators and institutional capital flow data. Trading volume reaching a new high in nearly 18 months, address structure migrating toward institutionalization, miner sell pressure falling to the lowest level in history, and ETF funds showing a strong single-day net inflow of $471 million—together, these data form the micro-level foundation of Lee’s bullish logic. However, the time-lag effect between analysts’ bottom calls and the market’s real bottom cannot be ignored. Macroeconomic liquidity tightening, geopolitical uncertainty, and extreme fear market sentiment may all delay the formal establishment of the bottom. Lee’s own prediction record shows the characteristics of “long-term directional calls being reliable but short-term timing having deviations.” His “bottoming” signal is more suitable as a reference for trends rather than as a trading signal. Based on the current data, the market is in a key stage where structural signals are turning positive, but sentiment has not yet fully repaired. Continued validation of multi-dimensional data will be the key to determining whether the bottom has truly been confirmed.
Frequently Asked Questions (FAQ)
Q: What specific indicators does Tom Lee’s “bottoming signal” refer to?
A: The main indicators include the growth of on-chain active addresses and the institutionalized shift in address types, the significant rebound in transaction volume, miner sell pressure falling to the lowest level in history, and the structural return of ETF capital flows. Together, these indicators point to an improvement in fundamentals as market speculation components decrease and long-term holders and institutional capital gradually enter the market.
Q: How long do analysts’ predicted bottoms usually differ from the market’s actual bottom?
A: The length of the lag varies by market conditions, ranging from several weeks to several months. The main factors causing the lag include the timing of changes in the macro liquidity environment, the speed at which market confidence is rebuilt, and the continued momentum of panic-driven selling. Historical experience shows that improvements in fundamental signals often occur before the formation of the price bottom.
Q: What are the support and resistance levels for current BTC and ETH?
A: As of April 9, 2026, BTC’s short-term support is at $69,000, with a strong resistance level above at $73,000. ETH’s short-term support is in the $2,000 to $2,100 range. After breaking above $2,200, it may be able to test the $2,300 to $2,400 range. If $2,000 is lost, the downside risk points to around $1,800.
Q: Why is a decline in the number of active addresses viewed as a bottoming signal instead?
A: A decline in active addresses usually means that short-term speculators and panic sellers have largely exited, leaving mostly holders that are accumulating over the long term on the network. Historical data shows that the trough in active addresses often aligns with the long-term base-building range that offers the highest profit potential. Behind the market’s “silence” is a substantive reduction in sellable supply.
Q: How accurate has Tom Lee’s historical prediction record been?
A: Lee has shown relatively high accuracy in long-term trend judgments, including his framework-level prediction for the Bitcoin value center in 2017 and his 2020 call for a V-shaped rebound in U.S. stocks. However, there is a clear early bias in his short-term price predictions, with significant lags between the timing points of multiple predictions and the actual price trajectory. Therefore, his judgment is better suited as a reference for trends rather than as a basis for short-term timing.
