Summary

Avi Felman flipped from bearish at $70,000 to buying BTC near $57,000, with his long-held $55,000 target almost reached. At $70,000, the consensus $100,000 target offered roughly 50% upside against a plausible retreat toward $50,000; around $55,000-$57,000, that same target approaches a double. His governing rule: “When momentum’s gone, the only thing that saves you is value.”
ETH is the favored expression of the rebound because its relative strength, catalyst calendar, and institutional use case are converging. Jonah argues that Ethereum’s moat is battle-tested code, not maximum transaction speed. He sees Bitcoin’s halving, Runes and Stacks’ Nakamoto upgrade as largely behind it, while ETH has EigenLayer, ecosystem activity and a possible ETF—more likely under Trump and dicier under Biden. Avi agrees that Ethereum’s battle-tested code matters, while adding that Bitcoin still has geopolitical catalysts. Grayscale’s ETHE had also widened from about an 8% discount two months earlier to roughly 25%-28%: “We’ve seen this movie already,” with “the same movie stars in the same movie.”
The next leg may reward hated legacy tokens while punishing newer, low-float launches whose unlocks are approaching. ARB was about 58% below its highs and back near its 2023 range despite BTC doubling; Jonah’s durable lesson from Don Wilson is that “tokens don’t file for bankruptcy”—they stabilize after liquid sellers disappear. Avi expects summer unlocks and early-investor selling to pressure names such as Sui, SEI and TIA, and specifically discusses shorting Aptos or Aethir against long SOL.
Locked SOL illustrates why headline staking yields understate both dilution and insider economics. Jonah uses locked SOL acquired near $64 while spot traded around $123: a stated 7% staking yield becomes roughly 14% on committed capital, with perpetuals available to hedge part of the exposure. For ordinary holders, Jonah’s framing is less glamorous but more useful: “Staking tokens isn’t really earning yield”—at a normal 5%-10%, it primarily prevents dilution.
The macro dip looks buyable if political or geopolitical shocks do not interrupt an otherwise strong economy. Jonah sees the Fed’s prior actions as priced in and considers AI structurally deflationary and commodity supply-demand healthy; his real risks are an energy shock, Trump proposals such as using the Army to deport 15 million workers or adding 30% China tariffs, and Biden floating a 45% capital-gains rate. Avi’s concern is that premature Fed cuts might revive inflation and trap markets in another tightening cycle.
Buying now should mean spot nibbling, not maximum leverage or blind knife-catching. Avi thinks purchases around current levels will probably look good in a year, but sell-offs often finish with a 10%-15% liquidation day; he would reserve meaningful size for that “bang,” then concentrate in assets with six-month catalysts. Jonah dislikes passive dip-buying orders because $42,000 BTC after a fat finger is not the same trade as $42,000 after a successful 51% attack.
Real-time information flow is part of the edge, especially when the reason for a crash determines whether it is investable. Jonah uses Grok because GPT-4 and Claude 3 lack Twitter’s immediacy; although Grok feels somewhere between GPT-2 and GPT-3, it summarizes current protocol debates and exposes the underlying tweets. His broader analogy: crypto Twitter and podcasts recreate the trading-floor phone lines where junior traders once learned by listening to experienced operators discuss live markets.

Deep dive

1. Bitcoin has shifted from a momentum trade to a value trade

Avi’s timing call is explicit: he became bearish around $70,000, sold a meaningful amount of crypto, and repeatedly targeted $55,000. At roughly $57,000, he reverses: “I’m not always a bear”—his natural state is bullish, and these are now levels where “the time to accumulate” has arrived.
His risk/reward chain starts with the market’s own target. At $70,000, most people’s expected move to $100,000 offered only about 50% upside, while a retreat toward $50,000 was plausible; near $55,000-$57,000, the same target is almost a double. “When momentum’s gone, the only thing that saves you is value.”
The long sideways stretch after a parabolic rally and new all-time highs looked like distribution to Avi. He distinguishes it from the prior consolidation around $30,000, which followed a long bear market rather than a breakout. The irony is positioning: traders were “giga-bullish” at $70,000 but call for $30,000 after a comparatively ordinary 20% drawdown.
Avi is buying BTC and ETH, reconsidering some memecoins, and likes Arweave as it expands beyond file storage through AO into a broader application network. Jonah distinguishes project-based alts from meme coins: WIF is less an alt than “a chip in that casino,” the on-chain venue Solana successfully built.

2. Ethereum now has the more compelling catalyst calendar

Jonah says crypto natives drove everything outside BTC and do not care much about Ethereum’s institutional reliability; he thinks meaningful change requires more institutional access to Ethereum. He sees Bitcoin’s halving, Runes and Stacks’ Nakamoto upgrade as largely behind it, while ETH has EigenLayer and other potential catalysts. Avi agrees that Ethereum’s battle-tested code is a moat, while adding that Bitcoin still has geopolitical catalysts even if it lacks a comparable blockchain-native catalyst.
Jonah says ETH’s downside outperformance may initially reflect fewer sellers rather than fresh demand, because BTC rose much more. But that relative strength changes psychology: buyers see an asset holding up better and infer it might outperform upward too. At the time discussed, he noted ETH/BTC was up 1.93%. If BTC reaches $100,000 and ETH/BTC recovers materially, Jonah sees a plausible “quick little two-bagger.”
Jonah points to ETHE, whose discount had widened to roughly 25%-28% from about 8% two months earlier. He says a Trump victory would almost certainly bring an ETH ETF, while a Biden victory is dicier; the BTC precedent and limited support for classifying ETH as a security make the setup attractive. Avi then calls ETH “the trade” and says the market is repeating the Grayscale opportunity: “We’ve seen this movie already,” with “the same movie stars in the same movie.”

3. Hated legacy tokens can rebound once their sellers are exhausted

ARB is Avi’s clearest specimen: during one down session ETH fell about 4% while ARB lost only roughly 70 basis points, despite ARB sitting around 58% below its highs. It had returned to its 2023 trading range while BTC doubled, suggesting that much of the liquid selling had already occurred.
Jonah recalls complaining to Don Wilson that failed or stagnant projects such as Cardano and Polkadot retained billion-dollar valuations instead of approaching zero. Wilson’s answer reset his framework: “Jonah, tokens don’t file for bankruptcy.” They find an equilibrium after sellers with liquid supply disappear, then can rally when a credible roadmap or adjacent narrative returns.
The qualification is to “avoid the freight trains”: foundations, escrow schedules and venture investors can keep dumping newly unlocked supply. Avi says a still-working team plus an adjacent ETH narrative could make ARB or Optimism interesting, while he remains more nervous about Lido because its supply pressure may not be finished.
Avi thinks new coins worked early in the cycle precisely because their float was tiny, but that advantage may reverse as summer unlocks begin. Whether Sui, SEI or TIA are good projects is secondary to forced supply. His tradeable expression is long an asset without the same overhang—such as SOL—against a heavily unlocking L1; he specifically mentions Aptos and Aethir as short candidates.

4. Locked SOL reveals the economics hidden beneath staking yields

Avi argues Solana has the opposite of a conventional supply problem: FTX absorbed substantial liquid SOL, and much of that inventory is being recycled into multiyear-locked positions held by buyers with long horizons. Jonah distinguishes exposure bought after selling higher as “bag-reloading,” while Avi calls his own new exposure “bag-adding.”
Jonah’s example uses locked SOL that he thinks cleared near $64 while spot later traded around $123; because locked tokens can still be staked, a nominal 7% yield becomes roughly 14% on the original capital. If SOL reached $600, the effective yield on that basis would approach 70%, and perpetuals can hedge some price exposure.
Jonah describes similar arrangements in which large L1 projects sell $20 million-$50 million blocks at discounts as large as 70%, while recipients stake and further reduce their cost basis. His advice for public holders is to stake too, but cautiously: 5%-10% mainly offsets inflation, unusually high yields imply a catch, and node concentration matters. Locking also discourages destructive overtrading.

5. Macro fundamentals look sound; policy is the unstable variable

Jonah calls the broad retreat in oil, BTC, the S&P and Nasdaq another “sell in May and go away” episode. He thinks what the Fed has already done is priced in and does not expect another hike, though an actual hike would be a major shock. Avi worries instead that cuts could arrive too early and allow inflation to reaccelerate.
Jonah’s largest concern is a supply-side shock: a geopolitical event that spikes oil and gas as the Ukraine war did in 2022, or campaign policy that constrains labor and imports. His examples are Trump proposing to use the Army to deport 15 million people from the labor force or adding 30% tariffs on China, both of which could force the Fed back toward tightening.
A different policy risk appears if Biden leads and promotes a 45% capital-gains rate, potentially taking the all-in burden near 60% in high-tax jurisdictions. Jonah’s point is not that the economy itself is breaking; unpredictable political decisions could impose the shock that ordinary growth and earnings data do not currently show.
Absent that disruption, Jonah sees the economy as healthy, AI chatbots as “massively deflationary,” and commodity supply and demand as robust. His conclusion is to “sell that put” on catastrophe and buy dips across BTC, Nvidia, SOL and Ethereum L2s—but in a size that does not cause panic or doom-posting after a 20% loss.

6. Information flow determines whether the final crash is an entry

Avi likes current prices but warns that sell-offs “tend to end in a bang,” often a 10%-15% down day rather than a smooth reversal. He is nibbling now while reserving major capital for visible liquidations, then intends to buy assets with narratives over the next six months and concentrate rather than scatter the position.
Jonah’s point concerns passive buy limits. A $42,000 BTC print caused by a fleeting fat finger could be a gift; the same price after a successful 51% attack would be a radically different proposition. Passive limits make more sense for reducing risk—his example is taking profit at $150,000—than for adding it without context.
For live protocol research, Jonah prefers Grok’s access to the “Twitter fire hose.” He judges its model weaker than GPT-4 or Claude 3—roughly between GPT-2 and GPT-3—but values current summaries and linked tweets, including explanations of EigenLayer restaking and complaints about withdrawal penalties, fees and gas. The caveat remains: real-time does not mean true.
Jonah compares that workflow to listening through public phone lines at Lehman Brothers while a top credit trader discussed markets with Fortress—a pre-podcast education in live information flow. Crypto Twitter democratizes more of that access than oil markets do, provided the feed is curated: the objective is still to separate the useful snippet from trading-floor noise.

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