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Finding Crypto's Next Big Trade | 1000x
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Finding Crypto's Next Big Trade | 1000x

Summary

  • Avi’s tactical meme framework is to use established names as unlevered BTC convexity, not hold them as lottery tickets. When WIF, Pepe or Popcat bottoms against BTC and Bitcoin’s setup turns bullish, spot can rise 40-50% without liquidation risk — “like a three-day call option” with no theta. Above $1 billion, he would not hold for a 3x in this environment; the “crazy moves” require BTC around $90,000.

  • Avi remains bullish on a breakout, while Jonah is losing faith in an immediate vertical move; Avi’s timing depends on September flows. Open interest and funding have neutralized, traders hold cash or shorts, and ETF allocators have deferred decisions through August; once price escapes, Avi expects covering and sidelined capital to drive BTC back to $70,000 quickly. It might first trade to $57,000, but he thinks buying $58,000-$59,000 should look good one month later.

  • Tron is the clearest collision between real usage and an explicitly short-lived narrative trade. Avi says it generated the most L1 fees over the prior 90 days, while USDT on Tron appears in Dubai commerce, transfers involving people from Iran living in North America, and Colombian transportation; the Tron/ETH ratio had gained 120% from its May 27 low. Yet he gives the meme-driven leg perhaps “another six days” and prefers pairing it against ETH, while Jonah still favors TON over alternative L1s beyond three months.

  • Crypto’s remaining inefficiency is psychological, making BNB/BTC around CZ’s release a legitimate catalyst trade. With CZ due out in 40 days, Avi expects BNB chatter to accelerate roughly two weeks beforehand; the pair was only 15% above a five-month low and below its yearly high, so he rejected claims that it was crowded. Jonah’s reaction captured the edge: in crypto, “just the psychological element” can be isolated and traded before machines arbitrage it away.

  • Avi’s favored AI-and-crypto proxy is WULF, the only miner he holds. The thesis is cheap electricity, experienced management, HPC expansion and an underappreciated Lake Mariner site; he also cites purchases by Druck and Soros. Jonah’s pushback — every miner is announcing an AI pivot and valuations have already ripped — leaves execution, not the narrative, as the differentiator.

  • Jonah thinks electricity, not chips, will force marginal AI compute toward Bittensor, although Avi does not accept that TAO captures the outcome automatically. AI search may consume 10-100x the energy of conventional search, so centralized operators might source GPUs but struggle to power exponential query growth economically; distributed household providers could supply the marginal capacity. Avi agrees decentralization is cost-driven and points to Helium Mobile’s claimed 400 daily additions and nearly 80,000 year-to-date subscribers as evidence that individuals can undercut centralized infrastructure.

  • Avi distinguishes a six-month flow trade in ETH from a five-year thesis in which there is “no reason to hold Ethereum anymore.” His case is that poor UX, weak leadership and L2s cannibalizing activity without returning enough fees erode ETH’s value, while bridges and L2 tokens face excess blockspace and little demand. Jonah counters with record stablecoin market capitalization, Polymarket and L2 development, but concedes that L2s may be uninvestable spoilers whose tokens fail while weakening ETH.

  • The macro call is to buy election-year risk-asset dips unless a recession arrives through policy error. Avi regards debate over a 25- versus 50-basis-point cut as secondary to growth, inflation, unemployment and earnings; Jonah sees price controls, extreme tariffs or a commodity shock as the plausible recession paths, not current data. BTC typically lags the first equity rebound because investors lack crypto mandates, Avi argues, then “starts to rip” once equities stabilize.

Deep dive

1. Established memes have become short-dated BTC options

  • Avi’s opening verdict on Pump.fun is structural: creators and insiders capture most gains, while buyers “are just trying to pump lottery tickets.” Below $1 million, automated scanners grade contracts for rug risk and whether new coins could be created; trading those launches manually is “basically in for a losing battle.”

  • Murad’s useful point, despite Avi saying he had “gone off the deep end,” is that an established meme with a crazy community may be safer than hunting the next microscopic launch. Very few coins meaningfully break through, so the apparently greater upside comes with worse selection odds.

  • Jonah supplied the survivor-bias example: institutional constraints kept him out of DOGE and PEPE because losing prop capital on a dog or frog was professionally indefensible. As a personal trader he caught BODEN, laughed, and exited roughly 50x higher — “not most people’s experience,” which is usually chasing already-shilled garbage.

  • Above $1 billion, Avi stops underwriting 10x or 100x outcomes and watches the one- or four-hour BTC pair. If WIF, PEPE or POPCAT is bottoming while BTC is poised to rally, he buys it — potentially against a BTC short — for a 40-50% initial move, “like a three-day call option” without theta. He said memes above $1 billion would make those crazy moves only if Bitcoin reached about $90,000.

2. September flows could turn a stagnant range into a fast squeeze

  • Avi had waited for mid-to-late August because summer de-risking and Jackson Hole uncertainty suppress allocations. Prices arriving lower did not invalidate the setup; his expectation is that September brings vacationing allocators back to BTC and ETH ETFs they were never likely to initiate during August.

  • Positioning supplies the acceleration mechanism: open interest and funding have reset, some traders are short, and “everyone that I talk to is sidelined” after raising cash. Once BTC gets away from them, Avi expects shorts and unallocated capital to chase it back toward $70,000, followed by a stronger October and November.

  • The hedge remains timing uncertainty. BTC might visit $57,000 in the coming week, but Avi believes entries at $58,000, $58,500 or $59,000 should be profitable a month later; his political overlay is that Kamala’s novelty will fade, Trump’s odds will rise, and BTC inflows will follow.

  • Jonah’s counter-evidence is already visible in “price action strength against weak news.” CryptoPunks are clearing perhaps 15-30 sales daily and their floor is leaking upward — not an NFT rally, but analogous to housing transactions returning during the 2008 collapse before prices began their long recovery.

3. Tron’s unglamorous stablecoin usage supports a tactical trade

  • Avi’s catalyst book likes Tron because it combined high fee generation with a fresh meme narrative, but he explicitly limits the shelf life: “This is probably gonna last another six days.” Pairing Tron against ETH preserves the relative thesis if the whole market falls.

  • The concrete usage surprised both hosts. Avi cited Ferrari rentals in Dubai, transfers involving people from Iran living in North America, and Colombian transportation paid with USDT on Tron; meanwhile, the ratio against ETH had risen 120% from its May 27 low and had broadly trended upward since December.

  • Jonah would not hold an L1 other than BTC, ETH or Solana beyond three months and sees TON as the more compelling mega-cap because Telegram hosts applications with product-market fit. Yet Tron forced a concession: Justin Sun’s promotion may be off-putting, but “can’t deny product-market fit.”

4. Pair books isolate crypto’s narratives from market direction

  • Avi divides risk into researched core holdings, a long-short beta book, and a “real now” book for catalysts and narratives. The beta book might own BTC, ETH or SOL against shorts such as StarkWare, Worldcoin and Sui; catalyst positions are “always, always, always” paired to avoid accidentally betting on the market.

  • BNB/BTC is the clean specimen: CZ was due for release in 40 days, and Avi expects the narrative to become unavoidable roughly two weeks before then. BNB had recovered just 15% from a five-month BTC-pair low and had not reclaimed its yearly high, which is why he rejected the “crowded” label.

  • Jonah’s enthusiasm explains why the setup can work: commodities would punish a thesis based solely on a returning personality, but crypto tokens periodically separate psychology from fundamentals. “CZ’s coming out of jail. No one’s talking about it” can itself become a profitable chain of narrative, attention and buying.

  • Avi does not continuously rebalance these pairs. Crypto correlations can sit at 1 for two weeks and then turn negative, so he estimates beta and adjusts sizing to the environment — one-to-one, somewhat larger or smaller — rather than pretending unstable ratios support a precise hedge.

5. AI offers both a three-week narrative and a multi-year power thesis

  • Nvidia had rebounded roughly 30% in five days while crypto AI coins barely responded. Avi expects a resurgence of the AI narrative over the next three weeks if BTC clears $60,000 and holds; AR was already up substantially relative to the rest of the market, and he prefers expressing the theme through pairs.

  • WULF’s pitch is more company-specific. Avi sees Lake Mariner as an “extremely valuable and underappreciated asset,” plus low-cost electricity, contracts to build AI data centers, HPC expansion and managers with 30 years in the electricity business; Jonah presses that rival miners are making the same AI pivot after sector valuations already surged.

  • Jonah’s TAO thesis starts with AI queries consuming perhaps 10-100x a conventional search’s energy. Centralized providers can buy silicon, but exponential demand could make power the constraint; when baseline capacity fills, the marginal producer may be “a random guy somewhere in the world” supplying powered compute through a horizontal network.

  • Avi’s challenge is essential: distributed power demand does not prove Bittensor captures the outcome. He accepts the broader cost logic, using Helium as precedent: technology now lets one person provide wireless service, and Helium Mobile’s nearly 80,000 year-to-date additions were roughly 13% of the combined 550,000 he cited for AT&T and Verizon.

6. L2s may succeed operationally while destroying their own trade

  • Both hosts dismiss the old infrastructure scarcity thesis. Jonah calls bridges such as Wormhole “infrastructure no one wants or needs”: blockspace was undersupplied briefly, but today’s oversupply makes cross-chain plumbing useful without making its tokens valuable. Avi’s compressed verdict is “bridges and L2s, basically zero.”

  • Avi’s ETH view has two horizons: ETF flows can make it bullish over six months, but over five years he sees “no reason to hold this thing.” Bitcoin gains value through ownership and its digital-gold story; Ethereum needs builders, usable interfaces and business development, making weak leadership more consequential.

  • Jonah’s pushback — worth keeping: developers are building on L2s, stablecoin market capitalization is at all-time highs, and Polymarket demonstrates real activity. Avi answers that L2 success still cannibalizes Ethereum while returning insufficient fees; Jonah’s synthesis is that L2 tokens “suck” and simultaneously make ETH less valuable.

  • Historical NFTs are the exception to the infrastructure purge. Avi still likes assets with “real history and real provenance,” specifically Jonah’s CryptoPunk and his own EtherRock, like Rock83; cultural relevance, not generic NFT beta, is what he believes can preserve value indefinitely.

7. Growth data matters more than the size of the first Fed cut

  • Avi corrected himself from “hike” to “cut” and rejected the mystique around 50 basis points. Markets may briefly assume officials know something ominous, but “real money doesn’t even follow that anymore”; growth, inflation, unemployment and earnings determine the durable direction.

  • Only a deep recession would overturn his “great, great, great year,” and both hosts say current data does not signal one. Jonah thinks recession now requires an error such as Kamala-era price controls, extreme Trump tariffs — he uses 80% on auto imports as an example — or an unlikely commodities supply shock.

  • Avi explains BTC’s lag versus Nasdaq through mandates, not gold correlations: investors must reallocate to equities after a sell-off but usually have no obligation to own crypto. Bitcoin therefore rarely leads the initial bounce; after equities stabilize, deferred crypto capital can enter and BTC “starts to rip.”

  • Jonah treats crypto as an episodic macro asset and says his election-year rule is to buy sharp risk-asset dips when Washington telegraphs dovish policy. His unresolved portfolio risk is ETH: under a friendlier SEC it might outperform toward $10,000, yet on other days he asks, “Why do I even own this thing?” That discomfort remains deliberately unresolved.