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@D2_Finance

Institutional-grade Derivatives Strategies for DeFi
| Stablecoin, RWA, BTC tokenized derivative strategies since 2023
| Real Risk-adjusted Returns at Scale
On-chain d2.finance Joined January 2024
558 Following 8K Followers 6.8K Posts

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D2 Finance Verified account @D2_Finance
Why looping in crypto is broken, why we stopped, why you're being sold repackaged credit risk as a savings account, and why we don't need it anymore. Thanks to @chameleon_jeff and @HyperliquidX.

Before founding D2, we spent a decade in institutional derivatives.Started at Bloomberg, then moved to global multi-billion-dollar hedge funds, and finished with a few years at PAG, a $55B Asian multi-strategy fund, trading volatility as a PM responsible for a multi-billion notional book.

Across that span we sat next to some of the best credit teams in the business. So when we say what the market is being sold as "stablecoin yield" looks like a leveraged credit strategy in a wrapper, this isn't theory. It's pattern recognition from watching credit professionals price this class of risk for a living.

Nothing inherently wrong with leveraged credit.

There is something wrong with selling it as "yield" without pricing the tail.

@ethena has executed beautifully on a favorable market setup.

Funding has been positive, basis has been wide, delta-hedged shorts have earned. Mechanically it remains a leveraged basis trade that pays until funding flips, liquidity thins, or the short leg breaks. That is not a savings account. That is a credit hedge fund wrapped in USDe.

The same logic applies to every looping stablecoin variant: sUSDe loops on Aave, syrup loops on Maple, avUSD, others. Same structure. Borrow cheaper stable, lend richer yield-bearing stable, pocket the spread, repeat 5x.

Works until it doesn't.

This week we documented two of these positions at -93% and -135% net APY, HF 1.01 and 1.02, ~$1B combined gross exposure.

D2's on-chain auditable track record (attached):

+3.8% (Dec 2023)
+115% (2024)
+31% (2025)
+3% (2026 YTD)

2.6 Sharpe. 28 of 28 positive months. 200% cumulative.

We looped actively in February 2024. Long ETH looped into USDC on @aave , short ETH on @GMX_IO , at funding rates that peaked above 100% APR.

One of the trades that made 2024 our best year.

Nothing against looping when the risk is properly compensated.

In 2025 we did lighter looping on the @fundstrat ‘ ETH run from $1,500.

We exited when the setup started to look like a bubble, and rolled the delta exposure into call options on @DeriveXYZ. July expiry paid materially. August expired mostly worthless.

Net result: we captured the DAT mania with defined downside.

We did not need a crystal ball.We needed convex payoffs.Since then we have not found a looping setup worth taking. Not ideology, the risk-reward no longer clears.

The change that matters: Hyperliquid liquidity has made gamma replication, delta hedging, and structured payoffs executable at spreads that do not exist anywhere else on-chain. We can now replicate most of the payoff profiles we like, with defined downside and substantially better risk-reward, without taking liquidation risk at HF 1.01.

Do not let zero-fee gimmicks mislead you. Execution happens at the spread, not the fee. Hyperliquid spread is why this works. That is @chameleon_jeff and the team's real contribution to institutional DeFi.

For fund managers: if the risk profile of your product is "leveraged credit, short convexity, earn carry until you cannot," that is a legitimate strategy. Label it correctly. Do not package it as a stablecoin and compare it to money market yields.

For everyone else: if a product offers you double-digit "stable yield," ask what happens in tail conditions. "We have Umbrella coverage" or "the collateral is fully backed" is not an answer. That is a marketing line. Ask for the funding chart. The liquidity depth in stress. The concentration of the borrower base. The unwind mechanics.

We learned looping by running it when it paid. We stopped when it didn't.Looping pays carry until it doesn't. Options pay when it matters.

Thanks to @chameleon_jeff and the Hyperliquid team for making this possible.

Fade D2 at your own risk. 🫡
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D2 Finance Verified account @D2_Finance
TL;DR

Gold printed the exact same level as one year ago.

Last time we were here it ripped +37% to 5,595 in 12 weeks.

Same setup. Stronger bid. Epoch 2 is live.
D2 Finance Verified account @D2_Finance 10h
The case for gold into Q1 2027, from the D2 desk.

Gold printed 4,070 Friday, the same tick as a year ago (4,001 on 7 Nov 2025). From that tick the next twelve weeks ran it to 5,595 (chart 1, green box). The 2006 template, mapped onto the 29 Jan top, puts about 5,000 in the second half of January 2027. Debasement++ Epoch 2 runs 100 to 300% of NAV gold delta into 19 Feb 2027 on that read. Ten points, timeline since the Trump election.

1. Cycle low 2,537 on 14 Nov 2024, nine days after the election. 5,595 on 29 Jan 2026, +121% print to print. The buyer was the official sector: Japan and China cut Treasuries for a decade while adding gold, the swap @LukeGromen has charted for years. Overseas UST holdings fell ~$70B in June.

2. 28 Feb 2026 the Iran strikes started; gold has given back 23% from the pre-war close. Oil pushed CPI to 3.7% by September and the Fed from easing to hiking. Central banks sold into us to pay for the oil. Brent: 72 pre-strikes, 126 at the April top, 98 now. The 2025 setup returns if Iran resolves and it trades in the 80s.

3. 19 Aug Bessent doubled long-end buybacks. Yields dipped a day, back above 4.7% within the week, dollar down vs every G10, gold +5%. Window closed 4 Nov with the refunding; ~$6T rolls in Q4; ten-year 4.86% now. Bessent remains Bessent.

4. The 3 Nov result does not touch the arithmetic. $38.6T at a 3.1% weighted coupon; Q4 coupon interest alone $196B. Bloomberg Economics has interest at 6.4% of GDP by 2035, above Italy, debt to GDP 131%.

5. October was the washout: almost -7%, worst October since 2008, low 3,870 on the 30th. Goldman says early to buy. CFTC managed money net longs 104,297 in the week to 3 Nov, a 21-week low, shorts at a 17-week high. The washout @MacleodFinance tracks weekly in COMEX data.

6. Democrats swept. Gold +5% on the week, BTC -2.6% since Tuesday's close (round trip in the quoted post). Whether crypto trades as a debasement hedge or a Trump trade is unclear. If the Dems go after it hard, better the old rock than digital, and yes @PeterSchiff, that point is yours. BTC and MSTR stay in the basket, smaller.

7. Saturday's data: PBOC added 830K oz in October, month 24 of the streak, buying harder as price fell. Ten-month additions 129t; official sector net 321t in Q3. WGC survey: 45% of central banks plan to buy next year, a record, the bid @JamesGRickards has argued since The New Case for Gold. Poland at 700t.

8. The bid sits in Asia. The July rebound ran in Asian hours while London and New York went sideways (chart 2). India's wedding-season demand is back on the pullback. Hong Kong central clearing for gold goes live Q1 2027.

9. The 2006 template: 22% fall in 24 trading days from the 12 May top, three fifths back a year later, new high 16 months out. This leg ran 31% and sits at day 195, so the cycle is behind the template. The difference is the buyer: 2006 had no PBOC adding every month of the fall. Date soft, shape is what we trade. @PeterLBrandt @TheDailyGold, does a 31% leg break the analog or stretch it? Three-month vol 22 vs 28 realized, flat risk reversal: the call wing is unpaid.

10. The short leg is the Fed. Warsh is the hawk. Friday's payrolls beat put a 9 Dec hike at 78%; gold gave back 1.5%. Ten-year real yield 2.61%, DXY 4% above the January top. Gold outran the dollar in the 2009-10, 2020 and 2025-26 suppression episodes and lost each time credibility came back. 30-day gold-dollar correlation -0.44.

Epoch 2 deposits open now, term 19 Feb 2027.

Markets do not repeat, but they often rhyme.
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D2 Finance Verified account @D2_Finance
The case for gold into Q1 2027, from the D2 desk.

Gold printed 4,070 Friday, the same tick as a year ago (4,001 on 7 Nov 2025). From that tick the next twelve weeks ran it to 5,595 (chart 1, green box). The 2006 template, mapped onto the 29 Jan top, puts about 5,000 in the second half of January 2027. Debasement++ Epoch 2 runs 100 to 300% of NAV gold delta into 19 Feb 2027 on that read. Ten points, timeline since the Trump election.

1. Cycle low 2,537 on 14 Nov 2024, nine days after the election. 5,595 on 29 Jan 2026, +121% print to print. The buyer was the official sector: Japan and China cut Treasuries for a decade while adding gold, the swap @LukeGromen has charted for years. Overseas UST holdings fell ~$70B in June.

2. 28 Feb 2026 the Iran strikes started; gold has given back 23% from the pre-war close. Oil pushed CPI to 3.7% by September and the Fed from easing to hiking. Central banks sold into us to pay for the oil. Brent: 72 pre-strikes, 126 at the April top, 98 now. The 2025 setup returns if Iran resolves and it trades in the 80s.

3. 19 Aug Bessent doubled long-end buybacks. Yields dipped a day, back above 4.7% within the week, dollar down vs every G10, gold +5%. Window closed 4 Nov with the refunding; ~$6T rolls in Q4; ten-year 4.86% now. Bessent remains Bessent.

4. The 3 Nov result does not touch the arithmetic. $38.6T at a 3.1% weighted coupon; Q4 coupon interest alone $196B. Bloomberg Economics has interest at 6.4% of GDP by 2035, above Italy, debt to GDP 131%.

5. October was the washout: almost -7%, worst October since 2008, low 3,870 on the 30th. Goldman says early to buy. CFTC managed money net longs 104,297 in the week to 3 Nov, a 21-week low, shorts at a 17-week high. The washout @MacleodFinance tracks weekly in COMEX data.

6. Democrats swept. Gold +5% on the week, BTC -2.6% since Tuesday's close (round trip in the quoted post). Whether crypto trades as a debasement hedge or a Trump trade is unclear. If the Dems go after it hard, better the old rock than digital, and yes @PeterSchiff, that point is yours. BTC and MSTR stay in the basket, smaller.

7. Saturday's data: PBOC added 830K oz in October, month 24 of the streak, buying harder as price fell. Ten-month additions 129t; official sector net 321t in Q3. WGC survey: 45% of central banks plan to buy next year, a record, the bid @JamesGRickards has argued since The New Case for Gold. Poland at 700t.

8. The bid sits in Asia. The July rebound ran in Asian hours while London and New York went sideways (chart 2). India's wedding-season demand is back on the pullback. Hong Kong central clearing for gold goes live Q1 2027.

9. The 2006 template: 22% fall in 24 trading days from the 12 May top, three fifths back a year later, new high 16 months out. This leg ran 31% and sits at day 195, so the cycle is behind the template. The difference is the buyer: 2006 had no PBOC adding every month of the fall. Date soft, shape is what we trade. @PeterLBrandt @TheDailyGold, does a 31% leg break the analog or stretch it? Three-month vol 22 vs 28 realized, flat risk reversal: the call wing is unpaid.

10. The short leg is the Fed. Warsh is the hawk. Friday's payrolls beat put a 9 Dec hike at 78%; gold gave back 1.5%. Ten-year real yield 2.61%, DXY 4% above the January top. Gold outran the dollar in the 2009-10, 2020 and 2025-26 suppression episodes and lost each time credibility came back. 30-day gold-dollar correlation -0.44.

Epoch 2 deposits open now, term 19 Feb 2027.

Markets do not repeat, but they often rhyme.
D2 Finance Verified account @D2_Finance 1d
Debasement++ Epoch 1: settled ✅

Closed 9 days early. 40.684 @tethergold XAUT in, 41.32 out.

📊 +1.57% net in gold terms | ~7.8% net APR
📉 Gold 4,614 → 4,054 over the same window

Where yield came from:
◾ Gold: September and October adds lost into the slide. The election-week round trip, 183 oz bought at 3,947 avg and sold at 4,040 into the post-result bid, more than paid for them.
◾ MSTR short: flat. The 2 Oct squeeze to 166 cost what the November covers at 131 and 144 earned back.
◾ BTC: small long, closed mid-October, small positive.

Wrong on timing. Trading paid for it. Results still positive 🫡

Legs flat, thesis got its catalyst, so capital comes back now rather than sitting idle for nine days.

New app preview below: rebuilt on your feedback, hardened. Coming soon.
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D2 Finance Verified account @D2_Finance
Debasement++ Epoch 1: settled ✅

Closed 9 days early. 40.684 @tethergold XAUT in, 41.32 out.

📊 +1.57% net in gold terms | ~7.8% net APR
📉 Gold 4,614 → 4,054 over the same window

Where yield came from:
◾ Gold: September and October adds lost into the slide. The election-week round trip, 183 oz bought at 3,947 avg and sold at 4,040 into the post-result bid, more than paid for them.
◾ MSTR short: flat. The 2 Oct squeeze to 166 cost what the November covers at 131 and 144 earned back.
◾ BTC: small long, closed mid-October, small positive.

Wrong on timing. Trading paid for it. Results still positive 🫡

Legs flat, thesis got its catalyst, so capital comes back now rather than sitting idle for nine days.

New app preview below: rebuilt on your feedback, hardened. Coming soon.
5 replies 3 reposts 9 likes 1.4K views View on X
D2 Finance Verified account @D2_Finance
Best pod risk thread we've read in a while. "Factor beta neutral to the extent they can measure the exposures" is the line.

The part that hit home is who the model is good for. The GP scales the winners, cuts the losers fast and never has to work out whose process is good. Being a pod is not great vs being the GP. We're actually in defi partially to not do pod life, as we can manage risk much better. Self selection of users through the epoch model helps.

If every pair of teams is 0.05 correlated, a pod shop tops out at 20 independent bets. 300 equal teams get you 19. Park the same 0.05 average with the ten teams that carry half the risk and it's 3 (chart).

A blow-up can't tell you it was crowding either. Start at 1% odds. One 6 sigma day makes it 38% if crowding is the only suspect, 15% once a plain vol spike is a second one.

Walleye plans to return some capital after a -5.9% month. Pod Risk Manager, agreed the bottom tier goes first. We'd bet Walleye is not the last capital return before year end.
Pod Risk Manager Verified account @sadandlonely_69 2d
In honor of some “pods blowing up” and me being traveling I will outline some concepts about pod risk management about which I do know a thing or two, as my name might suggest. 

It is a common perception that pods are factor beta neutral and thus largely hedged. That is not quite true. A truer statement is that they are factor beta neutral to the extent they can measure the exposures. 

Most equity risk models are derivatives of the original axioma and barra factor models. There are now many things that go into this but at their core they are a 12 (IIRC) variable linear regression. And mathematically, the unexplained remainder, the error term, is assumed to be the alpha (Upon which the team gets paid). You well recognize most of these factors: size, momentum (short and long), quality, dividend, domicile, sector, etc. 

Now even the dull among you may note that there are in fact many other things that go into a stock. That’s true and that’s one reason why many people at the pods are very rich. There is though a very active and live debate to the highest level of these firms as what you “want” in the other bucket. On the one extreme, scheduling a proprietary drone flyover on the Aurora AV truck up fitting facility to measure parking lot activity vs expected timeline….that feels like pretty good alpha. On the other extreme, going long the Canadian listing rather than the U.S. listing because the Canadian listing diversifies the domicile score so you get a higher portfolio level idio score…..that doesn’t feel like great alpha. But the range is wide: paying GS a billion dollars so your team is the first meeting at the conference? That’s kind of the pod scale advantage. Albeit less so if every other pod is in the room. Going balls long large cap domestic U.S. GLP-1 manufacturers vs non GLP-1? Well that kind of is thematic alpha (depending on the work put in by analyst), but even if you’re of the opinion fuck it, let the kids rip (a reasonable view) you also know at the levered portfolio level that we aren’t measuring that risk completely. This line can really be illustrated with the concept of a “custom factor”. Maybe going long a shit load of SPACs is alpha, maybe it isn’t, but how the FUCK are you gonna build a portfolio level SPAC factor exposure loading in late 2021 when spacs didn’t functionally exist until 2021????

Anyways, interesting & active philosophical debate but there are some downstream derivatives. 

Firstly, as a well known matter, 6 sigma events happen in finance all the time. There’s one every year in some corner of the market. So ex ante we know our models aren’t “great”. 

Second, everyone knows the agent is an unobserved blind spot. It’s impossible to actually “know” why the analyst and PM are doing anything. You like to think they’re doing it on the back of deep fundamental quality work, but the median analyst and PM isn’t good at their job. So that assumption is known to be unreliable. The capital allocation solution to this is momentum chasing at the portfolio level: you allocate more to winning pods and you cut the losers fast. This is a brilliant approach because it means the pod business model is capital light- they identify and scale the good teams without actually having to invest in knowing which pods have “good” process. It’s worth really appreciating that point because it’s one of the true genius aspects of the model, and at its core it’s why the GPs are so fucking rich. (Deep finance readers will note that some of the original papers on factors saw that one of the earliest possible explanations for the decade-long trend nature for factor performance is implicit fund flow pressure from the momentum chasing nature of capital at the LP level)

(Continued in reply)
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