THE LARGEST HEIST IN HISTORY w/ Mayne and insentos
Summary
- Ansem has turned bearish because weakening AI earnings and broken market structure could turn an equity correction into a larger crypto sell-off. He cites Amazon down roughly 10%, Intel 20%, and Google 10% after hours as investors question whether enormous AI spending is translating into revenue quickly enough. His working downside case is Bitcoin in the mid-to-high $60,000s and ETH around $1,800; the immediate objective is to “protect profits.”
- The Binance scare expands during the broadcast from initial reports of hundreds of millions to $5.78 billion in outflows, while recovery figures keep changing. Mayne initially resists selling everything because Circle and Tether have reportedly frozen roughly $1.8 billion; later readouts put frozen funds around $2 billion–$2.6 billion. The final loss remains unresolved. A later readout says nothing had gone to Tornado Cash, distinguishing that from the early report that the destination address had been funded through it.
- Hyperliquid remains the panel’s strongest long-term conviction despite its bearish positioning elsewhere. Ansem connects ICE’s announced partnership with Trade.xyz, reportedly responsible for about 50% of Hyperliquid volume, to wider adoption of perpetual futures and dollar stablecoins. Ansem says Druckenmiller invested in Trade.xyz and bought PER, while treating his involvement as a potential TradFi capital channel for Hyperliquid; he does not say Druckenmiller bought HYPE. Mayne calls HYPE a “thousand dollar token” under a future where much more financial activity runs through the platform.
- Their preferred response to a correction is to prepare specific bids and retain explicit conditions for changing their minds. Mayne expects $75,000 BTC to be tested but distinguishes a quick recovery from sustained trading below it; above $81,150, his near-term picture improves. Ansem wants Zcash near $750, Mayne likes $750–$900, and HYPE could still form a higher low around $80 after first breaking $100. “Where is weekly demand?” is the question they want answered before panic arrives.
- Insentos describes new-pair trading as a separate, fast-moving market with opportunities even when majors fall. His example is ELONG, a coin responding to Elon Musk’s “interesting” reply around Druckenmiller and Hyperliquid, which reached roughly $600,000. The work involves monitoring news, choosing among competing launches, sizing for possible total losses, and moving quickly; he says he has never deployed a coin himself.
- Coinbase’s earnings discussion presents diversification as an operating cushion against weaker spot trading. An unidentified executive says spot volume fell 10% quarter over quarter while prediction-market growth helped keep revenue flat; predictions plus derivatives supplied about 25% of transaction revenue. Armstrong frames Coinbase’s infrastructure, Deribit integration, and multiple customer groups around building a financial system that “doesn’t need Wall Street,” with more customer and product attention planned for 2027.
- The AI-security discussion leaves causation uncertain while separating possible AI exploits from quantum cryptographic risk. Ansem repeatedly suspects AI involvement in the Binance incident, then qualifies himself: “it doesn’t have to be.” Armstrong says he is less worried about AI breaking elliptic-curve cryptography than sufficiently powerful quantum computers, describing quantum risk as “when, not if,” while stressing that he does not consider it imminent.
- The panel also looks for equity trades whose drivers sit outside AI spending. Ansem favors Eli Lilly’s weight-loss business; Mayne discloses a Nike long at $35 with a $32 stop and a possible $50–$60 destination. They also like Take-Two’s exposure to GTA VI, although Mayne acknowledges its bearish chart. The shared search is for businesses and setups that can behave differently from the crowded AI trade.
Deep dive
1. Ansem’s bearish turn starts with AI spending and profit protection
Ansem says he switched from bullish to bearish the previous week because crypto’s technical picture deteriorated while uncertainty increased around AI capital expenditure. The question is whether revenue growth can justify what the largest technology companies are spending. If AI’s contribution to their businesses arrives more slowly than investors expect, earnings can disappoint even while adoption continues.
His examples are immediate and specific: Meta’s sell-off the previous week, Amazon down about 10% after hours that day, Intel down 20%, and Google down roughly 10% after hours the day before. These are the moves he reports watching live. His concern is that individual AI leaders are losing momentum just as the largest index constituents begin disappointing investors.
The transmission into crypto matters more to him than an isolated technology-stock correction. Equities have dominated risk returns since late 2022 and 2023 without what he considers a deep reset; broad de-risking would pressure the riskiest assets. He acknowledges an argument for Bitcoin as an inflation hedge independent of AI, but declines to make that trade himself: holders can still sell it when everything else falls.
Banks defends changing an opinion when conditions change; Ansem admits, “I flipped honestly pretty late, I think.” Several positions discussed on the show had already appreciated substantially, making an explicit profit-taking discussion overdue. His final positioning remains mixed: short BTC, ETH, and some stocks, holding more cash than a week earlier, but still losing money on coins he has not sold.
2. The Binance incident grows faster than the panel can establish its scope
The first reports interrupt the opening discussion: more than $600 million, then an alleged $2.5 billion Binance hot-wallet drain, alongside a live report of $1.7 billion. An early Tree News account describes withdrawals across more than 60 tokens to an address funded through Tornado Cash, with details unclear. Banks asks whether this could simply be Binance moving funds; the panel initially cannot establish the mechanism.
A later account Ansem reads starts at 4:20 PM ET: an outside wallet attaches EIP-7702 code to a Binance Ethereum hot wallet, then sweeps 63 tokens three minutes later, including $1.6 billion USDT and 67,000 ETH. Another hot wallet sends 28,000 ETH. The account also lists movements of 80,270 BTC and $613 million USDT on Tron, bringing reported outflows across chains to about $5 billion.
By a 5:52 PM update, the reported total is $5.78 billion; Ansem later speaks of roughly $6 billion. The earlier readout says around $2 billion is frozen, while $718 million in ETH and $500 million USDT remain movable and 17,270 BTC sits untouched. It explicitly says, “Nothing has gone to Tornado Cash.” These are evolving reports of wallet movements and recoverability, with no final reconciled loss established during the show.
Mayne initially rejects Banks’s suggestion to sell everything: Circle reportedly froze about $800 million and Tether about $1 billion, roughly 75% of the then-$2.5 billion figure. “This could’ve been way, way worse.” Banks reads CZ saying user funds are safe and that, as a shareholder rather than Binance’s manager, he expects recovery. Later frozen-fund estimates reach about $2.6 billion as the outflow estimate also increases.
3. Armstrong separates AI exploitation from quantum cryptographic risk
On Coinbase’s call, Brian Armstrong distinguishes two concerns that the hosts have been combining: AI discovering mathematical or security breakthroughs, and quantum computers eventually undermining existing cryptography. He is comparatively unworried about AI breaking ECDSA, citing approximately 40 years of unsuccessful attempts to find substantially better attacks and the difficulty of brute-forcing a 256-bit problem.
Quantum is different in his framing because it requires a sufficiently large new kind of computer, rather than simply a better conventional algorithm. He calls that a question of “when, not if,” while emphasizing that a small theoretical demonstration is insufficient. Banks’s impatience with the long answer gives way to its key qualification: Armstrong does not think the threat is imminent.
Armstrong says Coinbase has begun upgrading custody for a post-quantum world, but custody improvements also require the underlying blockchains to change. He mentions a Bitcoin advisory gathering at Stanford led by Dan Boneh, BIP-360 and other proposals, and hopes for community convergence over the coming couple of quarters. Another Coinbase executive adds that the company acquired cryptography expertise and is investing in hardening its systems.
Ansem’s broader fear is the transition itself: “this only happens one time,” when advanced models become widely available before everyone knows which systems they can exploit. He sees unusual uncertainty over the next 12–18 months, especially where an exploit can directly extract money. His insistence that the Binance incident must involve AI eventually becomes the qualification, “it doesn’t have to be”; the discussion produces no confirmed attribution.
4. Coinbase’s diversified exchange model cushions weaker spot activity
An unidentified Coinbase executive says overall crypto spot volume fell 10% quarter over quarter, while growth in prediction markets offset that decline sufficiently to deliver flat quarterly revenue. Predictions and derivatives together supplied about 25% of transaction revenue; subscription and services represented roughly 49% of net revenue. The executive describes prediction-market activity as incremental, rather than cannibalizing customers’ existing spot trading.
Ansem asks how Coinbase differentiates as competitors assemble similar combinations of spot, predictions, stablecoin interest, and institutional trading. Armstrong’s answer is mission and infrastructure: “We’re trying to make a new decentralized financial system that doesn’t need Wall Street.” He cites Base, Coinbase’s role in co-founding USDC, the x402 protocol for agentic commerce, and decentralized-exchange integrations as advantages.
Serving consumers, institutions, businesses, and developers makes the company more complicated, Armstrong acknowledges, but lets it build capabilities once and distribute them across customer groups. His larger opportunity is the incumbent financial system: he estimates traditional providers still account for 90%–95% of financial services, versus 5%–10% for fintechs. Competition therefore includes creating markets and taking share from traditional finance.
5. Deribit expands Coinbase’s product set as Armstrong shifts attention toward customers
Ansem’s derivatives question focuses on the acquired Deribit platform and the more positive US regulatory environment. Armstrong describes integrating what he calls the largest crypto-options venue into a unified, regulated global exchange spanning perps, options, and futures. The intended advantage is shared liquidity across US and non-US customers, replacing the historical separation between offshore trading venues and the American market.
Armstrong credits the GENIUS Act and cooperation between the SEC and CFTC with helping make more products available in the US. Ansem connects the discussion to his own use of GDAX and welcomes the return of a more trader-focused Coinbase Pro offering. His interest is practical: whether Coinbase can combine institutional derivatives infrastructure with products that active retail traders actually want to use.
Ansem’s pushback is that Coinbase appears much more visible in Washington than in consumer marketing. Armstrong defends the post-FTX effort as necessary after Sam Bankman-Fried damaged the industry’s standing, saying a much worse regulatory outcome was possible under Gensler. “It’s not a zero-sum game”: regulatory work continues, but he says talking to customers and improving products will occupy more of his attention in 2027.
6. Hyperliquid’s ICE connection extends the thesis beyond crypto trading
Ansem highlights an announced partnership between Intercontinental Exchange, the New York Stock Exchange’s parent, and Trade.xyz. He describes Trade.xyz as enabling equity perpetuals and spot-asset trading on Hyperliquid, accounting for approximately 50% of its volume. For him, the announcement supports a larger claim: established financial businesses may use blockchain trading infrastructure underneath their own products, rather than requiring customers to interact directly with crypto.
“I think perpetual futures are probably crypto’s greatest invention,” Ansem says. He expects the instrument to spread through traditional finance. The associated stablecoin demand is part of the same thesis: if billions or trillions of assets trade on the venue, substantially more dollar-denominated collateral could live there too. He thinks that alignment with dollar usage helps explain US institutional and government support for such partnerships.
His adjacent opportunity is consumer distribution. Hyperliquid, as he understands it, concentrates on the back end rather than mobile interfaces. That leaves room for front ends that make equity perpetuals accessible and introduce gamification. The prospective winners could therefore include applications built on the trading infrastructure, with an advantage for those that acquire users early.
Ansem also flags an ecosystem launch, naming “Elysium” and “Kinetic/Kinetics” in the transcript, with ticker KNTQ; the precise product name is unclear. He thinks the launch is next week, November 9. His rationale is that HyperEVM has been slow and relatively inactive, creating room for what he describes as an L2 built on top of Hyperliquid.
7. Institutional accumulation challenges the idea that HYPE is already too consensus
Druckenmiller’s involvement strengthens Ansem’s conviction because of the capital that may follow his judgment. Ansem says Druckenmiller’s first-ever tweet was bullish on Hyperliquid and mentioned investing in Trade.xyz; he also says Druckenmiller bought PER and invested in Trade.xyz. Ansem treats this as a potential TradFi flow signal and says it makes him ask why he would not buy HYPE. Mayne’s reaction captures the reputational signal: “Druckenmiller only tweets once, and it’s about you?”
Mayne raises Arthur Hayes’s objection that Hyperliquid may have become too consensus. Neither guest finds that sufficient reason to avoid it. Ansem offers a positioning counterargument: early crypto participants received large airdrops and sold into 10x–20x returns, so they may own less HYPE now than a year earlier. He thinks traditional-finance buyers and larger investors have absorbed that supply.
The chart reinforces their interpretation. Ansem remembers HYPE holding $20 in January while Bitcoin fell 30%; Mayne points to roughly 10 months of persistent strength while Bitcoin traded bearishly. He argues that institutional capital can establish floors that invalidate expectations of automatic 70%–80% crypto drawdowns. “The big dogs are in the room” is their explanation for behavior that differs from previous cycles.
Mayne calls HYPE a “thousand dollar token” in a future where expanding financial activity runs through Hyperliquid. Both emphasize foreign exchange as an underappreciated market, involving trillions of dollars and, Mayne says, leverage reaching 1,000x at some brokers. Their conviction rests on continued execution and expansion across markets; Mayne compares the possible opportunity to owning BNB several years earlier.
8. Mayne treats a deeper pullback as a possible higher-low entry
Mayne agrees that ETH and many altcoins have broken daily structure, while Bitcoin and the equity indices are still holding important levels. He can see BTC returning to $65,000 or below $70,000 and ETH below $2,000. That does not make him broadly apocalyptic: “a big pullback is ideally a higher low,” and a Bitcoin higher low around $70,000 could be an attractive buying opportunity.
His comparison is early 2023, when Bitcoin rose toward $25,000, retreated to approximately $19,000, and then resumed climbing. A similar 20%–25% pullback now would put it just below $70,000. He says three consecutive bearish weeks increase the importance of forming a weekly swing low soon; without that response, he sees good odds of trading below $75,000.
For HYPE, Mayne wants a new high first: from around $95, an overshoot to $104–$105 would clear the psychological $100 threshold, after which even $80 could be a higher low. Banks discloses having put roughly half his portfolio into HYPE around $25 and concentrated in HYPE and Bitcoin. The guests admire that positioning while admitting they did not size their own conviction as aggressively.
9. Options offer defined losses but add a difficult timing decision
Ansem regrets not expressing his bearish technology-earnings view through puts after watching Meta, Amazon, Google, and Intel sell off. He is interested in learning options more seriously and mentions Derive’s on-chain offering. Mayne’s reservation is straightforward: choosing direction is already difficult; choosing when the move happens adds another problem, even if options provide convexity in return.
The expiration decision is Mayne’s sticking point: zero-day contracts, end-of-week expiries, and longer maturities create different demands on timing. He also thinks options face a distribution problem in crypto because they are complicated and perps are so familiar. “The perp is the ultimate financial instrument,” he says. Their discussion is exploratory; neither claims an established options edge.
Mayne’s clearest explanation of the alternative is the premium: spend $5,000 on puts and that is the maximum loss if they expire worthless. Marketing must make that benefit understandable. Ansem mentions a mobile product called Dream; Mayne says he is a seed investor in Dream from about three years earlier. They float learning through it together after its beta launch.
10. Insentos’s new-pair market keeps producing trades during the sell-off
Insentos enters with a different experience of the day: he says he is making money trading low-cap memes rather than shorting majors. His distinction is between buying established meme coins and “trenching,” which primarily means trading newly created pairs. A falling Bitcoin market does not remove every opportunity because fresh news can still generate a coin that reaches several hundred thousand dollars.
His example is ELONG, created around Elon Musk replying “interesting” to the Druckenmiller and Hyperliquid discussion. He says it reached about $600,000 and produced a good trade for him. Ansem admits he had not even realized this market existed around that news. Mayne’s reaction—“I’m so washed if that’s what it takes to make a coin”—shows the gap between their trading environments.
Insentos uses a Twitter monitor, but says the new-pair feed itself can also function as news discovery: notice a launch gaining attention, then investigate why it is moving. His current focus follows a failed attempt to expand into majors and perp swing trading the previous month. After getting “absolutely wrecked” in the downturn, he has returned to the process he knows.
11. Launching a coin and trading a launch have overlapping incentives
Ansem asks where the moral boundary actually sits between trading new pairs, deploying them, buying supply, and bundling launches. He finds the ecosystem’s judgments inconsistent. Insentos says deployment by trenchers is generally looked down upon and that he has never deployed a coin himself, but he does not consider every deployment inherently objectionable.
His explanation is that traders sometimes launch because they want a particular version of a narrative to exist—and want to buy the “correct coin.” They may hold supply and later sell it, but he distinguishes that activity from the more objectionable “Proxima bundles” and farming operations. The discussion does not establish a precise technical or ethical boundary that resolves every case.
Multiple simultaneous launches make the problem concrete. Ansem describes watching traders buy several versions of the same narrative, lose on some, and add to the eventual winner. Mayne asks about preset position sizes; Insentos emphasizes that even buying five candidates can produce five losses if the underlying narrative fails. The risk budget therefore has to accommodate complete failures across the basket.
12. Proving a trenching edge requires matching the holding period and execution
Mayne wants to test the claim that profitable trenching requires insider coordination. He proposes exchanging skills with Insentos: teach him perp trading and learn new-pair execution in return. Banks suggests a week of daily instruction, then separate fresh portfolios of roughly $100,000 to compare results. An unknown wallet would help distinguish repeatable trading from the advantages of a publicly followed identity.
The Kimchi launch is their example of an apparent insider trade that may have a simpler explanation. Mayne says everyone watching the underlying event could anticipate a coin. Insentos says he bought the wrong version twice; Mayne also bought a losing version. The eventual winner can look obvious afterward while concealing the failed candidates and uncertainty that preceded it.
Holding period is another source of misunderstanding. Mayne says his FOMO account is down about $150,000 because he holds positions for roughly 50 days, which other traders identify as the problem. Banks reports an undisclosed account that had been up around $250,000 and is now up about $100,000, with a goal of reaching $1 million realized before revealing it.
Mayne also describes trading style changing with age: he now favors daily-chart setups over constant scalping. His basketball analogy is to stop relying on youthful running and develop “a post-up game.” More screen time once felt synonymous with more earnings, but he no longer accepts that equation. Different speeds can support an edge without requiring the same amount of continuous activity.
13. Another giant meme valuation would need a much larger audience
Mayne questions whether past winners created unrealistic expectations for new memes. Banks recalls PEPE reaching roughly $12 billion and WIF about $5 billion; they also discuss Shiba Inu around $40 billion–$45 billion and Dogecoin near $75 billion. Insentos thinks today’s “hyper rotate market” makes even $1 billion–$2 billion difficult because attention and capital move rapidly to the next launch.
Banks thinks another enormous winner remains possible, but it would need to escape crypto Twitter’s audience and habits. He imagines a meme becoming widely known outside the existing circle, attracting millions of holders, or acquiring something beyond pure meme status. Alternatively, an unusually committed community might sustain it. Mayne thinks TikTok or similarly broad distribution would likely matter if that expansion occurs.
Ansem supplies an infrastructure route to the same outcome: mobile apps, equity perps, and much larger pools of assets moving on-chain. If hundreds of billions or trillions of dollars live where customers already trade, some users may explore other on-chain assets. Insentos’s version is simpler: the market needs “more players” who might otherwise be sports betting or playing blackjack.
14. Zcash’s broken support moves Ansem’s preferred entry toward $750
Ansem says Zcash failing to hold around $1,400 was an early warning because one of the strongest coins had stopped acting strong. Under his current scenario—ETH around $1,800 and Bitcoin in the mid-to-high $60,000s—he wants to consider buying Zcash around $750. His enthusiasm is conditional on that deeper market reset, rather than a claim that the current decline has finished.
Mayne identifies $750–$900 as potentially good value because it would retest an old all-time-high area. Ansem particularly likes $750, connecting it to an older high and a high from 2025. He describes that level as a place to “blind slam it,” while acknowledging that reaching it would require a substantial further deterioration in equities.
Asked why Monero does not receive the same privacy-coin enthusiasm, Ansem’s explanation is the buyer network: “the rich Bitcoiners have decided that Zcash is the private version of Bitcoin.” He is willing to follow that demand rather than argue with it. He still thinks the Monero chart looks good; the distinction he emphasizes is sponsorship and capital concentration.
Banks connects the discussion to Tool King’s distinction between coins that are money and coins that make money. Mayne expects those two categories, plus explicitly speculative memes, to command attention. He is less optimistic about the middle: tokens claiming utility through “some random bullshit” without either monetary status or meaningful earnings. That is the valuation framework he thinks is becoming clearer.
15. AI-equity profits can conceal the risk of a broken parabola
Ansem worries that memory-stock earnings are making holders less willing to sell after extraordinary appreciation. A stock trading at what investors describe as seven times earnings can still have risen 20x or moved from roughly $100 billion to $1 trillion in a year. His concern is that the apparent cheapness of current earnings becomes a reason to ignore the behavior of a crowded trade.
The analogy is altcoins: another 10x after the first 10x convinces holders that ordinary profit-taking rules no longer apply, until a 70%–80% decline arrives. “Parabolas perform the exact same way with every single asset,” Ansem argues. Even after falling around 30% from their highs, he says some memory stocks remain up roughly 3x for the year.
Mayne thinks gold also needs a reset. He says, “I think gold goes sub-$4K,” takes a substantial fall, and then bottoms; he would like to buy around $3,800–$3,700. Ansem agrees that gold went parabolic. Their point is that the pattern of acceleration and reversal can appear in commodities as well as technology shares or crypto.
The uncomfortable countercase is that Bitcoin’s bounce could be countertrend while equities only now begin their own downturn. Mayne says a 20% equity correction could still produce roughly 35% downside in Bitcoin, potentially toward $50,000. Ansem is not in that camp yet but acknowledges the logic. Crypto might bottom before equities, just as Bitcoin can bottom before related listed stocks.
16. Lilly, Nike, and Take-Two supply trades outside the AI-spending cycle
Ansem identifies Eli Lilly as one of the stocks that looks good and says Tool King described it as his largest position by a wide margin. His thesis centers on effective weight-loss drugs and sustained demand from people wanting to become fitter. He sees that business as comparatively unconnected to AI overinvestment, with the possibility of substantial profits over the next few years.
Mayne discloses a Nike long at $35 with a $32 stop, looking for a potential recovery toward $50–$60. His premise is mean reversion after a roughly five-year bear market, persistent customer appeal, and earnings beats despite widespread negativity. Ansem initially asks, “Really? Why?” before looking at the chart and recognizing that the shares have fallen around 80%.
Ansem’s conditional Nike setup is a recovery above approximately $39–$40, which could open a move into the gap toward $50. He agrees that they should search for businesses outside AI because some could perform differently while that sector corrects. Mayne broadens the hunting ground to commodities and retail; the expressed preference is for distinct drivers, with price levels still defining individual trades.
Take-Two interests them because of GTA VI and the recurring online business that may follow. Mayne acknowledges a bearish chart but calls it potentially the biggest-selling game ever, comparing a roughly $20 share price around GTA’s earlier launch period with about $200 now. They like the swing-low area, allowing for a dip below $185. His conviction is also personal: at 36, he plans to take launch day off to play.
17. NFTs retain a status thesis if digital ownership becomes easier to display
Banks remains bullish on long-term digital property: buildings, virtual real estate, skins, and collectible objects. He calls CryptoPunks “digital Picassos.” Mayne owns a Punk partly as historical exposure and notes that the collection has survived multiple cycles. Their argument concentrates on recognizable provenance and scarcity, rather than expecting every abandoned NFT project to recover alongside it.
Their most concrete imagined setting is a Ready Player One-style world with social-platform-scale participation. Banks asks what an alien CryptoPunk would signify if billions of people could see its owner walking around digitally: someone who was present in 2017, or someone able to spend tens of millions later. Mayne connects that intuition to the established desire for distinctive Counter-Strike skins.
Insentos thinks integration is the missing piece. People already spend $50,000–$100,000 on desirable social-media usernames because those are visible status markers; attaching NFTs more directly to accounts could serve a similar purpose. Banks ties the demand to existing purchases of watches, supercars, and art. The prospective use depends on platforms making ownership legible to other users.
Banks also emphasizes CryptoPunks’ relative resilience through what he calls “NFT Armageddon,” when many other collections fell 99.9% and the category became unfashionable. Mayne points out that a floor around $60,000 is still expensive. For them, the persistence of a substantial price after the broader collapse supports keeping some exposure, even while the larger integration thesis remains future-facing.
18. Anthropic optimism meets the possibility of strong local models
Mayne is relatively bullish on Anthropic, saying it has been cash-flow positive over the last few months. He understands concern about a business apparently spending $2–$3 to make $1, but thinks the shorter recent window changes the assessment. An IPO could nevertheless mark a local top: he imagines an initial rise and subsequent equity-market pullback, comparing that possible path with SpaceX’s IPO.
His caveat comes from a technically informed friend who thinks local models will approach 90%–95% of frontier-model capability while running entirely on a phone. Mayne presents that as something coming, rather than a capability he has demonstrated. It is the competitive uncertainty he attaches to his otherwise positive assessment of the company and the usefulness of its product.
Banks supplies a different example of AI’s appeal through Instinct, an invite-only assistant he has heard praised by his manager and Frank. The illustration is asking by text for balloons, flowers, and a personalized note to arrive at a girlfriend’s hotel room, or for flights and dinners to be booked. He describes reported capabilities; the discussion does not establish that he has used it himself.
19. Wealth protection becomes a debate about how much disruption to prepare for
Mayne says Drew Tang has been warning him, “Exchanges first, banks next,” and recommending physical cash, gold, and silver. Figures discussed include $10,000 cash and $10,000–$20,000 gold. Mayne understands wanting to protect children and future generations, but questions how far to take it: moving into the woods, withdrawing bank balances, and abandoning ordinary life can become its own burden.
His strongest example is friends’ account of a Portuguese power outage lasting up to 72 hours: the first night brought candles and parties, then refrigeration, water, and basic services failed, with looting reportedly beginning by day two. Ansem sees inexpensive preparation as an extension of crypto’s self-reliance. Both still hope the surrounding fears are a “nothing burger”; neither claims to know what will happen.
20. Persistent oil strength complicates the hoped-for market reset
Ansem and Mayne doubt that ending the Iran conflict would automatically send oil back to $70. Ansem’s concern is that prices remain close to highs while there is no obvious quick solution, including through further war. Mayne thinks Iran has proved more resilient than expected and criticizes the contradiction between Trump campaigning against wars and entering one.
Ansem says the futures curve has also begun turning upward, which he interprets as concern about next year rather than only an immediate supply shock. His causal chain is higher oil, more inflation pressure, less room for Federal Reserve cuts, and less economic stimulation. He explicitly wishes he had deeper geopolitical expertise; his confidence is greater in the market constraint than in predicting the conflict.
Mayne earlier offers a more constructive countercase: if markets sell off on the possibility of renewed war after the midterms and that escalation does not happen, the reversal can create attractive longs. Ansem agrees. His broader observation is that recent corrections price fear unusually quickly, potentially reaching important support levels faster than older market patterns would suggest.
21. Failed equity breakouts demand a faster change of bias
Ansem stresses how abruptly the picture changed: two weeks earlier the equity chart looked “perfect.” Mayne’s rule at all-time highs is correspondingly direct: buy a breakout that holds, but close and potentially flip short when price returns below it. The difficulty is psychological—changing from maximally bullish to bearish near a top—rather than identifying the failed breakout after the fact.
Mayne gives an ES level as “76.20” (the transcript does not clarify its scale) and an NQ level of 28,820; losing them on a three-day or weekly close would break structure. He says previous weekly structure breaks on the S&P 500 and Nasdaq have produced at least 10%–20% corrections.
They emphasize that a 10%–12% equity decline can be an ordinary pullback and still be painful for crypto. Mayne expects Bitcoin often to fall roughly twice as much. Ansem contrasts this with 2017, when buying Bitcoin’s new highs repeatedly worked; by 2021, false breakouts were punishing that habit. Mayne now often views a new high as a possible deviation to fade.
22. Bitcoin’s spot discount and reclaim levels define the immediate trade
Mayne says spot Bitcoin is trading about $150 below perpetual futures, with recent declines led by spot selling. Ansem explains the distinction: Coinbase’s BTC/USD market involves actual cash purchases and sales, while the Binance BTC/USDT perpetual market permits leveraged positioning. Futures trading above spot suggests more aggressive leveraged buying while cash holders sell, which both regard as an unfavorable near-term combination.
Around the initial breakdown, Ansem’s practical instruction is to reduce risk below Monday’s range and wait for a recovery, approximately $79,400 on BTC and $2,300 on ETH. If price reclaims the range on a four-hour close, buying back may cost only a few percent. “You sold here, you panicked, but you panicked first” captures his preference for accepting that cost over an uncontrolled further decline.
The larger downside question is the reaction around $75,000. Mayne does not consider a brief sweep below it inherently bearish; his 2023 comparison actually allows for that move followed by a rapid recovery. Sustained trading underneath is more concerning. A fast equity flush could take BTC toward $60,000, still above the roughly $58,000 prior low discussed by the pair.
Their bearish view also has an invalidation. Ansem says an aggressive return above the broken range could make him flip long again; Mayne names $81,150 as his improving level. Both want the daily and four-hour closes to confirm the breakdown. Ansem still expects equities to pull Bitcoin lower, but expressly allows that a strong reclaim would make him wrong for now.
23. Altcoin exits and future bids require different decisions
ETH looks weaker than Bitcoin because it has already broken the comparable range, with Ansem watching roughly $1,800–$1,700 below. SOL is nearer its low but has spent a long time in the broader consolidation. He wanted it to hold above approximately $100–$120; returning deeply into that old range undermines the breakout he had hoped would become support.
NEAR illustrates the distinction between a good narrative and a deteriorating position. Ansem recalls first buying around $1.70 and still likes its intents, AI-agent, and programmable-privacy themes. But after roughly 40 days of consolidation, he identifies the first meaningful breakdown candle as a reasonable de-risking point. Under his bearish-majors scenario, he thinks it could return toward approximately $3–$2.50.
Mayne prepares for corrections by identifying weekly demand before the sell-off and setting bids or alerts. The alert should preserve the original reason: “this is where you wanted to buy a couple weeks ago.” Ansem agrees that this is easier with cash buying spot than with leveraged knife-catching. A level that looks attractive today can look terrifying once consecutive red candles carry price into it.
PEPE’s resilience leaves Ansem genuinely unsure. The team discusses the alleged hacker holding about 2% of supply, roughly $40 million, while Hyperliquid funding reaches an annualized minus 408%; nevertheless, the coin is down only around 10% and bouncing. He wonders about complacency, limited remaining sellers, or simple indifference. His objection to declaring victory is temporal: “it’s only been an hour.”
24. Monday’s range is one application of the same candle logic
The pair test their chart reading through a Polymarket 15-minute Bitcoin up/down market, choosing green. Mayne’s reasoning includes a sweep of the previous 15-minute low and a small five-minute doji, suggesting a possible turn. The candle closes green “just barely.” They enjoy the result, while the reasoning they discuss concerns that particular short interval rather than a change in their broader bearish positions.
Ansem explains why a short-term bounce can coexist with bearish continuation. After a 2%–3% move within 15 minutes, leveraged traders take profits, buyers absorb forced selling, and the order book needs time to populate new prices. Consolidation gives someone another potential exit or short entry near the top of the emerging range without requiring the daily bearish thesis to reverse.
Every candle can remain inside the previous candle’s range, break upward, or break downward, Ansem says. A bullish candle with a lower wick necessarily traded below its open before recovering; lower-timeframe charts reveal that sequence. Mayne connects this to ICT’s “power of three” and the alternative paths of open-high-low-close or open-low-high-close. The expected larger candle supplies a map for the smaller-timeframe entry.
Monday’s range applies that map to a week: a Tuesday or Wednesday low followed by a reclaim can support a bullish move toward Monday’s high. Mayne extends the same reasoning to a yearly open. Taking the prior year’s low and then reclaiming the yearly open early in the year could identify an important annual low, helping frame subsequent trades.
25. Two timeframes and a time limit turn the chart view into a trade
Mayne’s standing rule is to use two timeframes for every trade. The higher timeframe identifies support, resistance, demand, or the area where he expects a reaction; the lower timeframe supplies the recognizable pattern for entering and placing a stop. He thinks traders often confuse themselves by demanding that a single chart provide the level, directional context, entry, and risk definition simultaneously.
Ansem reduces entries to a small set of choices: buy support or buy a breakout, and reverse those ideas for shorts. Stops belong beyond the relevant level or prior range. The strongest setups combine a meaningful higher-timeframe level—potentially monthly support—with lower-timeframe confirmation. That alignment explains why a small chart pattern can matter at one location and be unhelpful elsewhere.
Time also provides information. Ansem wants the expected reaction to occur reasonably quickly after a lower-timeframe entry and will consider exiting when it does not. Mayne applies that principle to their current shorts: “if this thing’s getting nuked, I want it to nuke now.” The longer price lingers near entry, the less he likes the trade, even before a conventional price stop is reached.