Summary

Avi’s core call is that Bitcoin’s market structure has flipped from seller-led waiting to buyer-led fear of missing the ETF. Cointelegraph’s fake approval headline drove BTC to $30,000; the retrace to $28,000 became his size-buying trigger, and around $35,000 he was targeting $40,000-$45,000 within a month. His catalyst stack was rate cuts “in the next three to four months” in his opinion, the halving, and an ETF they assigned a 90% chance of arriving by Q1 next year.
Jonah’s allocation rule is “don’t be a dick for a tick” when the exposure itself is toxic. If Bitcoin is a lifetime store-of-value trade constrained to 21 million coins, being flat can be worse than paying $35,000 instead of the wished-for $25,000. He was still buying through GBTC and predicted BTC would reach $70,000 before the end of Q3 next year.
Solana’s recovery changed Jonah’s thesis without settling the token’s terminal value. He had dismissed a chain dominated by Ethereum clones and STEPN, whose activity helped crash it, but Anatoly’s case for fast, low-cost decentralized microtransactions—and applications such as Helium, Hivemapper, and Render—made him admit, “I was too quick to write it off.” Avi remained unsure how SOL captures value if scalability keeps fees low. Jonah said he would sell every last bit of Solana he owned at $250.
The broader bull signal is that heavily telegraphed supply is being absorbed and previously hated winners are rerating. FTX-estate SOL supply through Galaxy did not overwhelm buyers; Blur recovered despite airdrop and NFT-community objections; and would-be CryptoPunks buyers began front-running the next cycle. The resulting psychology is, “I need to go buy my cycle bags now,” accepting a possible 20%-30% drawdown while playing for 3x, 5x, or 10x.
Short-term edge is coming from flow data and lagging correlations, not just directional conviction. Avi watches open interest plus spot and futures CVD: roughly 9,000 BTC of shorts near $34,600 preceded a move toward $35,400, a squeeze pattern he said had appeared four times in two weeks. His catch-up screen compares the top 50 coins tradable on perpetual futures’ 30-day correlations, then buys laggards—Compound behind Aave, for example—when one- to three-day price divergence becomes extreme.
Their disagreement is rotation, not market direction. Avi planned to cut BTC exposure near $40,000-$45,000 and rotate through ETH, Optimism, Arbitrum, and Lido; Jonah was “too much of a chicken” to surrender BTC’s cleaner risk-reward. Both preserved tail risks such as a major default or recession, but Jonah viewed the expected policy “fire hose of money” as making a crisis-driven crypto selloff a dip to buy.

Deep dive

1. Solana’s turnaround broke the vaporware thesis

Jonah’s changed view began with market segmentation: Ethereum may work as an institutional settlement layer for high-value trades, but microtransactions and networks such as Render, Hivemapper, and Helium also benefit from decentralization. Solana now looked “as good as any solution” for activity that must be fast and avoid heavy gas fees.
His former bearish specimen was STEPN: the innovative walking application helped take down a chain otherwise filled with Ethereum DeFi clones and NFT knockoffs. Seeing SOL near $8, Jonah concluded it was broken; after Anatoly described fixing the flaw and attracting new applications, he conceded, “I was too quick to write it off.” SOL subsequently reached roughly $42.
Jonah’s remaining objection was Firedancer’s origin inside Jump: even if a very fast validator client is useful, “decentralization matters,” and he was uncomfortable with everyone potentially running software produced by one trading company. Avi’s rebuttal — worth keeping: open-source code that cannot co-opt the system becomes a public good, and Jump’s possible commercial motive does not matter to him if it cannot control the system. Jonah supplied Meta building Llama as a comparable example.
Avi’s harder unresolved question concerned SOL itself. Even if every possible transaction moved onto Solana, scalability might outpace transaction growth and keep fees—and therefore token value capture—low over 10-15 years. He remained bullish on usage, applications, and “the cult of Solana,” but called it a phenomenal trade rather than settled terminal value. Jonah called Solana a phenomenal trade and said he would sell every last bit he owned at $250.

2. Hated assets became the market’s preferred recovery trades

The hosts’ behavioral framing: hated assets outperform in bear markets when committed developers react emotionally to claims that their life’s work is doomed. Solana generated that intensity, reminding Jonah of ETH in 2019-2020; by contrast, attacking Polkadot, NEAR, Tezos, or Cardano might no longer provoke anyone. A live community can turn a chain around.
Avi saw the decisive shift in telegraphed FTX-estate SOL supply through Galaxy. Bullish investors waited for that overhang to produce a better entry, only to discover it was being absorbed and that other buyers were competing with them. For the first time, he argued, available supply was smaller than the sidelined demand: “I can’t just wait.”
Blur was his parallel case: the NFT community hated it for “fugazi reasons,” blaming it for falling floors when Avi saw a product improving market efficiency. Airdrop-related supply kept prospective owners cautious, yet the token rallied from its lows. CryptoPunks were beginning the same repricing as buyers accepted 20%-30% downside in pursuit of 3x, 5x, or 10x cycle returns.

3. A fake ETF headline activated the real Bitcoin trade

Avi did not bottom-tick BTC at $25,000-$26,000 and admitted that level was better value than he recognized. The fake Cointelegraph ETF headline supplied what price alone lacked: BTC hit $30,000, retraced to $28,000, and he bought size because investors suddenly imagined a real approval arriving while they were underallocated. “That was our catalyst.”
His framework says Bitcoin allocation responds to value or momentum. At $25,000, momentum pointed down and value did not feel obvious; after the headline, momentum, an uptrend, and urgency aligned. Around $35,000 he was buying dips after trimming at the first test, citing sidelined cash, his expected rate cuts within three to four months, the halving, and a 90% ETF probability by Q1 next year.
Jonah hated Avi’s claim that one “just can’t lose that much money” at these levels, but largely agreed with the mechanism: rates may have peaked, the four-year halving means less new supply and miner selling, and an ETF unlocks institutions and individuals unable to hold spot. Those factors might cap long-run downside; they do not eliminate mark-to-market risk.
Jonah’s “bad risk, good risk” rule treats both positions and omissions as exposures. If an investor believes Bitcoin could reach $1 million within a lifetime, being flat is toxic risk; the response is to buy, not haggle over one tick. With only 21 million coins and the reserve-asset “genie” already out, he called BTC “one of the most obvious trades in the history of finance.”

4. Flow data favors squeezes first and catch-up trades second

Avi’s short-term screen on Coinalyze uses open interest, spot CVD, and futures CVD. When roughly 9,000 BTC of shorts entered around a selloff to $34,600, he bought; BTC then approached $35,400, where he began taking some off. Shorts had repeatedly been squeezed from the bottom of this “up accumulation range”—four instances in two weeks.
Jonah’s technical-analysis reversal was carefully bounded. He used to reject technicals, but now thinks they are “pretty much all there is” for systematic trading under an hour. He still doubts long-horizon investment views derived from price charts alone, while accepting technical momentum applied to crypto fundamentals such as Glassnode’s MVRV or CDD metrics.
Avi’s evidence for new money, rather than simple recycling, was that the stablecoin decline had begun leveling over two to three weeks while altcoin funding stayed reasonably positive for two to three weeks and BTC held its highs. The danger would be alts and funding ripping while BTC languished at $34,000; strength in both can persist if fresh capital is entering.
Jonah mocked vague pattern-matching as “draw two circles” followed by “draw the rest of the fucking owl,” prompting Avi’s concrete recipe: download perpetual-futures prices for the top 50 coins, calculate rolling 30-day correlations and their z-scores, then identify abnormal one- or three-day divergences. If Aave rallies while historically correlated Compound lags, buy Compound, sell Aave, or run the pair.

5. Bitcoin stays the anchor while higher-beta trades compete for capital

Avi targeted $40,000-$45,000 within a month, then planned to reduce BTC substantially and seek catch-up exposure—ideally ETH after further ETH/BTC weakness, followed by Optimism, Arbitrum, and Lido. Jonah refused: even if Lido offered more upside, its extra risk did not justify surrendering BTC. He expected $70,000 before the end of Q3 next year and preferred staying “chunky” through GBTC.
NFTs offered another leveraged sentiment gauge. Jonah called them “ultra-levered crypto”: CryptoPunks and Apes remained near their lows while volumes were recovering, making a floor Punk—or using PartyDAO to get into a floor Punk—a possible catch-up trade. Unlike the binary fear-and-greed index, actual NFT volume showed winter participants becoming less terrified.
The closing discipline was intellectual, not directional. Avi acknowledged tactical bearishness and wrong calls despite a strong year; both said opinions must change as information changes. Publishing views invites correction and recreates the old trading-floor debate online: “talking is how you adapt and improve your process as a trader,” even when the provisional answer is simply to buy Bitcoin and wait.

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