finance, macro & defi — i watch flows and build small tools. nothing ever happens

Taiwan · US
Joined March 2015
Hmmm... free union alpha just dropped, wonder how it is. Same class as 0xAlpha (GLM 5.3 Flash)?
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I don't really think Gemini lost either. Pretty much everyone I talk to uses it and they prefer it, older people and students etc. Google just isn't marketing to us AI enthusiasts.
As I mentioned in my previous post, Google's strategy with Gemini isn't about building the most powerful coding model. Their actual goal is developing the lightest and fastest model for casual users. That’s the exact model you keep seeing across Google Search, Gmail, YouTube, and other apps. They stopped updating Pro, and Flash updates are focused on speed and efficiency rather than performance gains. Building the single strongest model isn't the only winning strategy.
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There is another way to interpret what is happening in crypto right now, and it is considerably less comfortable. The industry has a volatility problem. Real volume is declining. Directional participation is thinning. Implied volatility continues to compress. Cheap puts are being sold, call demand remains weak, and entire sessions increasingly feel mechanically pinned. That matters because crypto depends on movement. Volatility creates opportunity. Opportunity creates trading. Trading generates revenue for exchanges, market makers, arbitrage desks, derivatives platforms, miners, funds, and the broader ecosystem. Remove volatility for long enough and the machine begins to starve. At the same time, reported volume on some lower-tier exchanges increasingly appears disconnected from observable liquidity. Enormous headline volumes coexist with shallow books, limited price impact, and little visible organic flow. If a venue reports billions of dollars in activity while contributing almost nothing to genuine price discovery, it is reasonable to ask what that volume actually represents. Economically meaningless volume does not solve a liquidity problem. It conceals one. And that brings us to liquidations. MSTR selling and miner flows may have acted as marginal spot supply during the recent move. Options positioning added another source of compression: persistent put selling pushed implied volatility lower while weak call demand limited upside convexity. Near expiry, that creates an interesting setup. As large short-put positions decay, dealers may need to unwind the underlying hedges associated with them. If dealers are short delta against those positions, that unwind requires buying back underlying exposure. In a thin market with stretched positioning, the resulting flow can become a meaningful source of demand and potentially contribute to a vanna-driven move. Crypto, however, introduces another variable that traditional markets largely do not have: enormous vertically integrated exchanges sitting directly inside the liquidation mechanism. This is where the questions become more uncomfortable. Our working hypothesis is that liquidation flow may not always reach the open market at the moment it is generated. Under certain conditions, liquidated positions may instead be absorbed, internalized, or effectively warehoused before the resulting inventory is eventually transferred back into the market. To be clear, this is a hypothesis based on observed flow patterns. It is not proof of exchange misconduct. But the tape repeatedly produces behavior that deserves scrutiny. We have observed unusually large liquidation prints following extremely small BTC moves, sometimes without any corresponding movement in the mark or index price that would intuitively explain the reported liquidation event. At other times, BTC moves thousands of dollars through obvious leverage zones and the expected liquidations barely appear. Then, on a much smaller move, enormous liquidation prints suddenly arrive. Why? If reported liquidations were always the immediate mechanical consequence of leverage, margin thresholds, and mark-price movements, their timing should broadly correspond to the underlying price action. Sometimes it does not. One explanation is data noise. Another is that large amounts of leverage were established shortly before those moves. But there is a third possibility worth considering: some of the reported liquidation flow may represent inventory created earlier and only later transferred back through the market. That distinction matters. Imagine a large forced-selling event. Instead of allowing the entire liquidation to hit the order book immediately, a sufficiently capitalized venue or liquidity provider absorbs part of it. Binance itself—or an affiliated or independent liquidity provider with a sufficiently large balance sheet—could theoretically warehouse substantial temporary inventory. The leveraged trader disappears. The inventory does not. Someone now owns the other side. And whoever owns it eventually needs an exit. That inventory could remain off-market until liquidity improves, then be distributed gradually—or released more aggressively when market conditions make doing so advantageous. Under that model, liquidation flow stops being only a consequence of price. It becomes a potential source of future price pressure. The recent rally makes this possibility particularly interesting. Contrary to the idea that the move produced unusually little liquidation activity, published data eventually showed an extraordinary liquidation event despite BTC moving only roughly 6–10% and without an obvious fundamental catalyst commensurate with the reported magnitude. Compare that with the decline. On the way down, the market moved through increasingly stressed leverage conditions while convexity in perpetual contracts collateralized by altcoins and other crypto assets was likely becoming extreme. The liquidation engine should have become increasingly sensitive to further downside. Yet the cascade eventually stopped around $58K. The market absorbed the pressure. Now, following a much smaller percentage move, we see liquidation figures of historic magnitude. That asymmetry deserves attention. What exactly are these liquidation figures measuring? And when is the underlying inventory actually being transferred into the market? Suppose short-liquidation inventory was accumulated somewhere between roughly $60K and $70K. Whoever absorbed that flow would have considerable flexibility over when and how to distribute it. At higher prices, that inventory becomes profitable. Now consider what happens when volatility disappears. Trading falls. Volumes contract. Open interest stagnates. Retail engagement fades. Perpetual activity declines. Spreads generate less revenue. The casino goes quiet. For exchanges and market-making infrastructure whose economics depend heavily on activity, prolonged low volatility is an exceptionally poor environment. Which raises an uncomfortable question: Who benefits when volatility suddenly returns? Almost every major participant in the trading infrastructure benefits from renewed activity. If a large venue or liquidity provider is sitting on liquidation inventory, releasing even a modest amount into an unusually thin market could create disproportionate price impact. Top-tier market makers recognize liquidation-driven flow quickly. They widen spreads, reduce exposure to toxic flow, and capture the liquidity that remains. Lower-tier venues can then be swept through arbitrage. A relatively small originating flow can propagate across exchanges and create a much larger visible move. Price moves. Liquidations print. Volume spikes. Social media wakes up. Traders return. FOMO starts rebuilding. The machine gets fed again. None of this proves manipulation. But the economic incentives are difficult to ignore. For a dominant derivatives venue, a market that remains permanently dormant is commercially unattractive. Volatility is oxygen for the business. That leads to the larger question. Suppose the recent move was, deliberately or structurally, useful for clearing remaining short-liquidation inventory while generating enough movement to reactivate traders. What happens if it fails? What happens if price moves, liquidation figures explode, everyone watches— —and nobody comes back? No sustained FOMO. No meaningful spot demand. No major expansion in open interest. No recovery in organic volume. Then the problem is larger than whether BTC trades at $70K or $80K next. It would suggest that volatility itself is losing its ability to attract fresh capital. And that would be deeply bearish for the trading ecosystem. Because manufactured activity cannot substitute for genuine participation indefinitely. You can print volume. You can subsidize liquidity. You can create leverage. You can liquidate leverage. You can recycle inventory. But eventually somebody has to genuinely want the asset. Which brings us back to the inventory question. If short-liquidation inventory accumulated around $60K has now largely been cleared, what happened to the enormous amount of long-liquidation inventory generated during the decline from roughly $120K toward $58K? Who absorbed it? How much remains? At what average price? And most importantly: At what price can that inventory be profitably returned to the market? If part of it was effectively backstopped around the March lows, inventory associated with the $60K region may already be largely resolved. But inventory accumulated around $70K–$80K could present a different problem. If substantial long-side inventory still needs to be distributed, traders establishing fresh longs between current levels and $80K may not necessarily be front-running the next bull market. They may be providing the liquidity required for legacy inventory to exit. That is the darker interpretation. Every rally attracts fresh buyers. Fresh buyers create liquidity. Fresh liquidity creates an opportunity to distribute old inventory. Then the market can move again. The critical question is whether this is simply the natural consequence of an exchange-mediated liquidation system—or whether market structure has become concentrated enough that the largest venues can effectively influence when inventory is absorbed, when it is released, and therefore when volatility emerges. At that point, the discussion is no longer only about market structure. It becomes a discussion about market control. And if declining organic volume means increasingly violent volatility events are required simply to keep participants engaged, the industry should be asking a more fundamental question: Are we watching a healthy market clear leverage—or a shrinking market repeatedly harvesting the traders who are still willing to participate? And if the latest injection of volatility cannot restore sustained participation: Are we watching liquidity return—or watching the remaining liquidity being extracted before it disappears? Food for thought.
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been loving the grok product line so far. wish there was something like Codex where you can go out and about, pop in airpods, and just get stuff done. grok voice but it can actually do the work — files, not just talk. @elonmusk
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yeah I know you can set it up so that Hermes can join a Discord call and do this but slight delay. I'd rather it be in grok itself.
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yeah I know you can set it up so that Hermes can join a Discord call and do this but slight delay. I'd rather it be in grok itself.
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paultee retweeted
OKEY GUYS, YOU HAVE VERY LITTLE HOURS TO DO THIS BEFORE IT STOP EXISTING. How to trigger SuperGrok Heavy $99 promo for 3 months on any account with no current plan. 1) Login into grok.com 2) Go to this url to buy SuperGrok for 15$ for 2 months promo grok.com/supergrok/targeted-… 3) Now go to this url to get SuperGrok Heavy for $99 for 3 months grok.com/supergrok/targeted-… THIS WORKS 100% OF TIMES ON NEW/OLD ACCOUNT WITH NO CURRENT PLAN ONLY. We didn't test on accounts with current plans, if you try it, let us know (: NOTE: Do not worry, the price is deducted so at the end is $99 not 15+99.
If you didn't recieve the SuperGrok Heavy at $99 promo and still want to give Grok 4.6 a try, we found this working promotional url. SuperGrok for $15 (50% discount) for 2 months. grok.com/supergrok/targeted-…
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Was watching Pixel review videos and it got me thinking: Google used to make products that felt ahead of everyone else. Pixel felt revolutionary. Gemini on the phone felt like the future. Now the phone AI feels weak and behind the competition. How did Google get here?
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How is Grok 4.6 compared to DSV4 Pro and Kimi 3? Especially for hermes users?
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paultee retweeted
Gemini looking at me in the Cursor model selector like.
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paultee retweeted
I sincerely respect Bessent. It’s a miracle we haven't seen a total blow-up somewhere already, but the way he’s juggling the oil, bond, and FX markets all at once is seriously impressive. Call it market management or call it straight-up manipulation, but keeping this whole ship running so smoothly under a chaotic boss is nothing short of masterclass. Look at how he ripped the yen apart without even rattling the tape—even if it's pointless since it'll snap right back in a few days anyway. The guy's a wizard. He was slamming Yellen before the election, but honestly? He’s just Yellen’s final boss form.
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大家有沒有發現 整個東亞 也就日本人不喜歡炒股,也不喜歡賭博 踏踏實實做人 中韓台港 都是絕命賭徒 像神經病一樣
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Perhaps larger position of $cashcat on HL perps being built? Been odd flow for a bit here, but the perp side have been consistently apeing for a while now.
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Listening to Coinbase #SystemUpdate Livestream on the Coinbase app. Hopefully they drop some big news 🙏
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Liquidity is leaving crypto and heading for tradfi IPOs. They'll make the Otherside mint liquidity drain seem like nothing in comparison.
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Imagine you spent 40 years doing the boring, responsible thing. You opened a 401k at 23. You contributed every paycheck. You ignored the noise. You bought the index because Bogle told you to, because Buffett told you to, because every honest piece of financial advice for 30 years told you the index was the safest, most diversified, most rules-based way to own America. The whole point was the rules. The rules said: a company must trade for 12 months before joining the S&P 500. The rules said: it must show four consecutive quarters of GAAP profitability. The rules existed because in 1999 the index quietly bought a lot of stocks at the top, and pensioners paid the bill. After the dot-com crash, S&P tightened the rules. Nasdaq tightened the rules. FTSE Russell tightened the rules. For 23 years, those rules held. Then SpaceX filed for IPO. And the rules changed. The S&P 500 waived the profitability requirement. Nasdaq cut its trading-history window from 90 days to 15. FTSE Russell cut its to 5. Bloomberg Intelligence estimates the major index funds will absorb between 19% and 24% of SpaceX's float within six months. That's over $30 trillion of passive 401k and retirement money, mechanically buying a single newly public company at IPO valuations, because the rules said they had to. Except the rules used to say they didn't. Here's the thought exercise: If you spend 40 years building a system designed to protect ordinary savers from buying overpriced stocks, and then you waive the protections the moment a sufficiently large stock asks you to, what was the system actually protecting? Most of investing is about understanding what's a rule and what's a guideline. A rule binds the rule-maker. A guideline binds the saver. You're allowed to find out which is which only after the fact.
Rule changes for the SpaceX $SPCX IPO: Index providers waived the profitability requirement and cut the seasoning window from 90 days to 5. This forces over $30 trillion in passive 401k and retirement money to buy SpaceX at IPO valuations. Bloomberg Intelligence estimates S&P 500 funds must absorb 19% of SpaceX's float within 6 months. Russell 1000 and Nasdaq 100 funds will absorb 24%. The rules built to protect passive investors: 1. S&P 500 has required 12 months of trading and 4 quarters of GAAP profitability since 2002. Both waived. 2. Nasdaq cut its inclusion window from 90 trading days to 15. 3. FTSE Russell cut its to 5. All three benchmarks are now structured to buy SpaceX at IPO pricing.
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paultee retweeted
70 days ago: We are 24 hrs away from deal 69 days ago: We are 24 hrs away from deal 68 days ago: We are 24 hrs away from deal 67 days ago: We are 24 hrs away from deal 66 days ago: We are 24 hrs away from deal 65 days ago: We are 24 hrs away from deal 64 days ago: We are 24 hrs away from deal 63 days ago: We are 24 hrs away from deal 62 days ago: We are 24 hrs away from deal 61 days ago: We are 24 hrs away from deal 60 days ago: We are 24 hrs away from deal 59 days ago: We are 24 hrs away from deal 58 days ago: We are 24 hrs away from deal 57 days ago: We are 24 hrs away from deal 56 days ago: We are 24 hrs away from deal 55 days ago: We are 24 hrs away from deal 54 days ago: We are 24 hrs away from deal 53 days ago: We are 24 hrs away from deal 52 days ago: We are 24 hrs away from deal 51 days ago: We are 24 hrs away from deal 50 days ago: We are 24 hrs away from deal 49 days ago: We are 24 hrs away from deal 48 days ago: We are 24 hrs away from deal 47 days ago: We are 24 hrs away from deal 46 days ago: We are 24 hrs away from deal 45 days ago: We are 24 hrs away from deal 44 days ago: We are 24 hrs away from deal 43 days ago: We are 24 hrs away from deal 42 days ago: We are 24 hrs away from deal 41 days ago: We are 24 hrs away from deal 40 days ago: We are 24 hrs away from deal 39 days ago: We are 24 hrs away from deal 38 days ago: We are 24 hrs away from deal 37 days ago: We are 24 hrs away from deal 36 days ago: We are 24 hrs away from deal 35 days ago: We are 24 hrs away from deal 34 days ago: We are 24 hrs away from deal 33 days ago: We are 24 hrs away from deal 32 days ago: We are 24 hrs away from deal 31 days ago: We are 24 hrs away from deal 30 days ago: We are 24 hrs away from deal 29 days ago: We are 24 hrs away from deal 28 days ago: We are 24 hrs away from deal 27 days ago: We are 24 hrs away from deal 26 days ago: We are 24 hrs away from deal 25 days ago: We are 24 hrs away from deal 24 days ago: We are 24 hrs away from deal 23 days ago: We are 24 hrs away from deal 22 days ago: We are 24 hrs away from deal 21 days ago: We are 24 hrs away from deal 20 days ago: We are 24 hrs away from deal 19 days ago: We are 24 hrs away from deal 18 days ago: We are 24 hrs away from deal 17 days ago: We are 24 hrs away from deal 16 days ago: We are 24 hrs away from deal 15 days ago: We are 24 hrs away from deal 14 days ago: We are 24 hrs away from deal 13 days ago: We are 24 hrs away from deal 12 days ago: We are 24 hrs away from deal 11 days ago: We are 24 hrs away from deal 10 days ago: We are 24 hrs away from deal 9 days ago: We are 24 hrs away from deal 8 days ago: We are 24 hrs away from deal 7 days ago: We are 24 hrs away from deal 6 days ago: We are 24 hrs away from deal 5 days ago: We are 24 hrs away from deal 4 days ago: We are 24 hrs away from deal 3 days ago: We are 24 hrs away from deal 2 days ago: We are 24 hrs away from deal 1 day ago: We are 24 hrs away from deal ...Continue 😂
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paultee retweeted
93% of stablecoin TVL earns <5% APY. @USDai_Official says they'll fix that with 13-17% yields backed by... GPU hardware loans. The collateral: 📉H100s down 85% from peak ($40K → $6K) 📉Rental rates collapsed 70% ($8/hr → $2.10) 📉Blackwell is 25x more efficient than Hopper 📉Active loans were ~2% of TVL So what's actually generating yield? T-bills + points speculation ahead of $CHIP TGE. This is subprime auto lending in a DeFi wrapper: financing the fastest depreciating asset class in tech with stablecoin deposits that expect instant liquidity. Every securitization crisis in history had the same DNA: ❌ Illiquid depreciating collateral ❌ Marginal borrowers ❌ Short-duration funding ❌ Thin first-loss tranche They even compare themselves to MBS. Bold choice. If you actually want yield on stables without praying your collateral doesn't obsolete itself every 18 months the answer isn't hardware loans. It's volatility. Crypto derivatives are the most mispriced, inefficient market on earth. Implied vs realized spreads, cross-venue funding dislocations, and dispersion trades generate yield from math, not from depreciating metal in a data center. D2 has done 194% in 25 months. 2.6 Sharpe. Positive returns through Aug '24 (-22% ETH), Feb '25 (-33% ETH), and the Oct '25 ADL cascade, every event that blew up the "safe yield" protocols. The edge isn't novel collateral. It's institutional derivatives expertise applied to the most inefficient markets in finance. Verifiable on-chain. No depreciating hardware. No unstaking queues. No prayers that AI capex stays hot forever. Hyperliquid
.@defillama "LlamaAI what stablecoin with more than $200m TVL has the highest yield in DeFi?" 🤔
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