Summary

At $42,000 BTC, Avi read 100x meme coins and a possible 1,000x dogwifhat as a top signal, not a durable new regime. His CME case: open interest climbed from $1.89 billion on October 11 to $5.11 billion on December 7, then slipped to $4.71 billion, potentially leaving roughly $1.5 billion of ETF-front-running selling. The prescription was “pullback, reset, wash people out.”
The tactical map was caution now, accumulation on weakness, and a clean invalidation rather than heroic shorting. Avi kept his core longs but would sell dog coins, frog coins, and BRC-20 speculation; if BTC broke $44,000, he could simply buy back. His levels were to start chipping in at $40,000, add at $39,000, and keep loading cycle bags if the selloff reached $35,000, with $37,000-$38,000 as the pullback zone.
A spot ETF could still be structurally bullish because it can debottleneck interest that the small crypto-native market cannot front-run. Jonah envisioned conventional investors adding 1%-2% after seeing Bitcoin outperform and encountering an easy BlackRock product; Avi expected substantial inflows—“more than we expect”—after any initial volatility.
A 15%-25% annualized CME cash-and-carry surviving in plain sight was both an opportunity and a froth indicator. Crypto’s young quantitative traders were sophisticated enough to scan mempools, contracts, Reddit, and Twitter for meme coins, while institutional capital left basic spot-versus-futures arbitrage open. As Avi put it, investors were voting with their feet and saying, “Not good enough.”
Their sharpest relative-value call was Jonah’s proposed short ETH/BTC, with a stop above 0.056 and a target of 0.04-0.045. Jonah would close it around the Bitcoin ETF announcement. Avi thought ETH might then rally 30%-40% against BTC before fading again if activity failed to recover. The thesis was cultural as much as technical: retail speculation had moved from Uniswap to Raydium, while L2 throughput weakened Ethereum’s burn narrative.
Jonah resisted declaring Ethereum structurally obsolete, preserving the episode’s central disagreement. Ethereum still anchors NFTs, the L2 ecosystem, and a decentralized-information security layer; Solana winning meme-coin activity today need not define crypto permanently. Avi allowed that an ETH ETF could catalyze a reversal so strong that “by the time ETH is up 30%, we’re like, ‘Why did we ever hate ETH?’”
Beyond BTC, SOL, and ETH, they treated alt-L1s as tactical catch-up trades rather than durable long-term holdings. AVAX’s gaming bet had not visibly paid off, its RWA pivot entered a crowded field, and NEAR was trading an AI rebrand; the usable playbook was underallocation, short positioning, correlation, and rising transaction counts—not conviction by narrative.
The episode’s deeper risk call was that a $20 million retirement target manufactures trades the market never offered. Crypto can become an escapist “lottery ticket,” forcing someone with $250,000 to take ruinous risk; the better rule is “trade what the market gives you.” For a rigorously backtested strategy, Avi’s exception was mathematical: expected one-standard-deviation drawdown ≈ target P&L ÷ Sharpe, so a $1 million target at 2.0 Sharpe requires tolerating roughly $500,000 peak-to-trough.

Deep dive

1. $42,000 BTC looked like a market top made of memes

Avi’s market-top tell was social rather than technical: people were giggling about coins that had risen 100x in a week, while Avi thought the 1,000x coin might have been dogwifhat and guessed it had been around for 10 days. Jonah questioned how long it had actually taken. Avi’s casino metaphor captured the temptation: “The slot machine is 55% likely to win—you just abuse that button until it stops working, or until you get kicked out of the casino.”
The harder bear case came from CME positioning. Open interest rose from $1.89 billion on October 11 to $5.11 billion on December 7, then retreated to $4.71 billion; Avi conservatively attributed perhaps $1.5 billion to traditional-finance accounts front-running ETF approval and preparing to exit around launch. CME open interest had already fallen roughly $400 million in 10 days.
BTC was consolidating for the first time since roughly $25,000, funding was elevated, and year-end liquidity was about to thin as traders took time off. Avi inferred that people allocated for an ETF probably had already allocated; if approval arrived before January, fresh allocations might still wait until the new year.
The positioning call was restrained: keep core longs, avoid chasing, and sell dog, frog, or BRC-20 tokens whose size cannot scale. “You can make 100K, you can make a mil; you can’t put five mil into these things and turn it into 50.” A break above $44,000 offered an uncomplicated route back in if the top call failed.

2. An ETF washout could widen Bitcoin’s funnel

Avi’s preferred sequence was “pullback, reset, wash people out,” followed by accumulation: start chipping in at $40,000, add at $39,000, and keep loading cycle bags if BTC reached $35,000. After launch, he expected BTC to run hard and put his reputation behind substantial inflows—“more than we expect.”
Jonah thought an easy brokerage product could unlock investors who saw Bitcoin’s 2023 performance and wanted only 1%-2% “just in case.” He noted that a BlackRock commercial appeared three times every football game. His reservation was fundamental: beyond the ETF, society was not yet using crypto differently.
Jonah also asked whether Bitcoin would be up or down if the federal funds rate were 1% in mid-2025. Avi pointed to improving Solana UX, likely early-2024 applications, Goldman Sachs discussing products, and tokenized products being built on public infrastructure as possible new drivers.

3. Rich basis exposed institutional absence and crypto sophistication

CME futures offered roughly 15%-20% annualized carry, with the broader basis trade reaching 20% or 25%, from buying spot and selling futures. Avi found it disconcerting that capital still declined to compress an apparent arbitrage: “There are a lot of people voting with their feet, and they’re saying, ‘Not good enough.’” To him, that revealed how fully investors were allocated elsewhere—and how frothy expected returns had become.
Jonah’s experience entering crypto from commodities overturned his assumption that frontier markets would be unsophisticated. Candidates had built advanced systematic strategies from dorm rooms, including mempool bots generating sustainable income; meanwhile, low-hanging basis and commodity trades remained ignored because talented young traders preferred frog coins to jet fuel or gasoline. The persistent CME spread also exposed how exclusionary traditional exchange access remained.
Meme-coin operations were not simply gamblers clicking buttons. They scanned mempools for new contracts, checked whether liquidity was locked and in which pools, compared code and phrases against rug databases, then ingested Reddit and Twitter activity before sniping launches. Mainstream traders generally arrived only after a coin crossed into broader tech culture.
The cash-and-carry still demanded balance-sheet discipline: a leveraged futures leg can liquidate even when the combined trade later converges. Their Alameda thought experiment made the privilege clear—a no-liquidation account lets a trader hold discrepancies that stop everyone else out. Jonah’s broader lesson was that many celebrated traders win by having enough VaR to keep “hanging on while everyone else can’t.”

4. Solana’s cultural moat turned ETH/BTC into the clean short

Ethereum’s weak performance during the rally made Jonah ask whether Bitcoin could surge on a real use case while ETH became a forgotten Litecoin-like asset. Jonah contrasted Solana’s current meme-coin and NFT mania with 2021’s copycat rotation from Ethereum; he said retail had moved from flipping things on Uniswap to trading on Raydium. Avi likewise argued that Solana meme coins had pushed people toward other chains and highlighted the improved user experience.
Avi’s mechanical critique was that introducing L2s increased throughput faster than transactions could fill it. Activity would catch up only gradually, so fees could fall and Ethereum would see lower burn—undermining the burn narrative many holders watched. Jonah added that Solana was deeply underallocated relative to Ethereum.
Jonah’s pushback was worth keeping: Ethereum’s early attention could compound just as ETF liquidity does. NFTs and the L2 ecosystem still sat atop Ethereum, which remained a potential security layer for decentralized information. One narrative—“meme coins and degeneracy on Solana”—was not necessarily crypto’s permanent state.
Jonah saw a clean structured short in ETH/BTC: enter near prevailing levels, stop above 0.056, target 0.04-0.045, and close on the Bitcoin ETF announcement. Avi’s best guess was a bottom around that event, followed by a 30%-40% relative rally; absent renewed Ethereum activity, it would “start to peter out.” He also entertained the possibility that the ETF could revive ETH’s entire culture.

5. Alt-L1s remained rotations, while systematic rules supplied the edge

AVAX drew the bluntest skepticism. Jonah called it “the third-best solution” for nearly every use case and asked where the payoff was from its gaming push; Avi saw a pivot toward RWAs. He respected the team but emphasized a crowded L1 field with too few product developers.
Avi viewed Avalanche, MATIC, and other L1s outside Solana and Ethereum as trades rather than long-term investments. The playbook was to look for underallocation, short positioning, correlations, and rising transaction counts. NEAR’s AI rebrand could pump with the “crypto AI” narrative, but narrative strength was not evidence of durable product demand.
Jonah’s tactical playbook was to bucket comparable tokens and buy laggards after enough of the category’s market cap had rallied. That could explain AVAX catching up to Solana “on basically nothing,” as the alt-L1 category tended to trade in step over the long run but not the short run.
A target P&L becomes defensible only when a strategy is rigorously backtested and followed mechanically. Avi’s rule was that expected one-standard-deviation peak-to-trough drawdown equals target P&L divided by Sharpe. A $1 million target at a 2.0 Sharpe implies preparing for a $500,000 drawdown—then remaining “stone-cold sober and mathematical” when it arrives.

6. A $20 million retirement target was a trading liability

Avi’s joke that retirement required $20 million became disturbing when many followers agreed. People live happy, productive lives without ever earning more than $75,000-$100,000 annually; the required number depends on lifestyle. Crypto becomes dangerous escapism when someone with $250,000 decides, “I need 20 million,” because the perceived necessity licenses risks they would otherwise reject.
Jonah tied that error to the fur-coat story from Reminiscences of a Stock Operator: a trader decided to earn the coat’s price the next day, forced one bad trade after another, and lost pretty much all of his money. “Trade what the market gives you.” The corollary was equally important: trading primarily not to lose focuses attention on fear and also produces losses.
Huge wins cannot be scheduled. Someone might turn $1,000 in dogwifhat into $200,000, but trying to 100x the proceeds in the next coin will probably fail because “sometimes there is no next one.” From a small base, Bitcoin may not change someone’s economic category; with $5,000, Jonah said people may instead bet on a bull market through AI coins or Bitcoin beta, which have better odds than double zero.
Avi’s final distinction was between genuinely loving the game and using it as a compulsory wealth ticket. Some people can be happy with $1 million or $5 million; others will not be happy with $20 million. Fourteen-hour crypto days can sacrifice health and relationships, while a focused process—alerts, watchlists, analytics, and three-to-four hours a day—could, in his view, place someone among the top 1% of traders. “It’s actually quite easy to step off” the hedonistic treadmill.

How Much Crypto Should You Own? | 1000x Return Of The Bull Market | 1000x