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Binance Research report found that the crypto market experienced broad onchain contraction rather than sector rotation in the first half of 2026. Total DeFi TVL declined by $43.4 billion (38%), while the combined market capitalization of six major L1s fell by $246.5 billion (42%). Key findings include: Ethereum spot ETF holdings dropped to 5.2 million ETH, while DAT holdings increased to 7.7 million ETH.
L2 user activity declined sharply, with user operations falling about 77% from January to June; Solana network revenue decreased 64.5%; BNB Chain was the only major deflationary L1, with an annualized burn rate of 5.05%; the industry recorded 207 security incidents in H1, resulting in $972 million in losses; driven by the World Cup and non-sports events, prediction market monthly nominal trading volume surged 86% to $51.6 billion, with Kalshi and Polymarket accounting for 92% of June’s total trading volume.

According to The Block, Bitcoin treasury company Hyperscale Data sold approximately 100 BTC and opened a Bitcoin-backed credit facility to fund its AI data center in Michigan. The company said it is using part of its Bitcoin reserves for AI infrastructure while borrowing against the remaining Bitcoin holdings as collateral. If all AI data center service contracts are extended, the company expects cumulative revenue to exceed $1.2 billion.

Quantum Solutions, Japan’s largest Ethereum treasury company, announced that its subsidiary GPT Pals Studio Limited sold 1,000 ETH for approximately $1.903 million on July 30, with the proceeds to be used for AIDC businesses such as AI data centers. This marks the company’s second ETH sale, bringing total sold ETH to 1,904, while its holdings have declined about 29% from the peak to 4,764.80 ETH. Meanwhile, the company raised the group’s cumulative ETH sale limit from 1,875 ETH to 4,375 ETH, meaning it could sell up to an additional 2,471 ETH, equivalent to about 52% of its current holdings.

U.S. initial jobless claims for the week ending July 25 came in at 197,000, below expectations of 200,000. The previous reading was revised up from 187,000 to 188,000. The U.S. core PCE price index rose 3.3% year over year in June, in line with expectations, compared with 3.4% previously.

The return of term premium, the options market’s bimodal pricing, and what fiscal dominance means for global assets.
Measured by the simplest yardstick — the ten-year Treasury yield minus the federal funds rate — the relative funding cost of the United States, the anchor of the global financial system, now sits in the same band as Germany’s. The shape of the full curve, however, reveals that the point at which the market charges America most dearly is not the ten-year but the twenty-year maturity. This is no ordinary cyclical episode; it is a sovereign credit re-rating written into the curve itself.
On 27 July 2026, the ten-year Treasury yield closed at 4.65 per cent against an effective federal funds rate (EFFR) of 3.63 per cent — a spread of roughly 102 basis points. In isolation, that is barely a third of the 1994 “bond vigilante” peak. But widen the lens from a single point to the whole curve, to the global cross-section, and to the distributions implied by options markets, and a fuller, more cautionary picture emerges: what is being impaired is not any one maturity but an era — the era in which Treasuries, as the world’s risk-free asset, enjoyed the subsidy of a negative term premium.
I. A curve that sits above the policy rate at every point
Subtracting EFFR from every point on the Treasury curve of 27 July yields the first fact: from one-month bills to thirty-year bonds, every tenor trades above the policy rate (Figure 1). One month is 17bp over, one year 51bp, two years 68bp, ten years 102bp — and the twenty-year, at +152bp, is the highest point on the entire curve, above even the thirty-year (+149bp), leaving 20s30s inverted.
Figure 1 The US Treasury curve: September 2024 (before the first cut) versus July 2026. The whole curve has shifted up 240–290bp in 26 months — cyclical steepeners rotate; regime re-pricings shift in parallel.
The distribution of slope across segments is more informative than any single spread. From two to five years the curve travels barely 9bp in three years — almost dead flat: the market prices no path back to the old rate regime. Five to ten years adds 25bp; ten to twenty years jumps 50bp. Nobody prices “the policy rate in year fifteen”; that segment is almost pure term premium and duration-supply premium. The market’s marginal price for American duration peaks at twenty years — precisely where pension-fund demand is thinnest and supply is most purely fiscal.
The front end tells the opposite story. One year at +51bp and two years at +68bp price a hawkish path — no cuts over the coming year, possibly further hikes. That is the policy story of the 2026 Middle East energy shock, not a credit story. Looking at the ten-year point alone conflates the two.
Set against historical cross-sections (Figure 2), three points stand out. First, the wide-spread episodes of 2003, 2010 and 2013 all had front ends belowthe policy rate — cuts were priced, a benign “recovery steepener”. The 1993–94 vigilante episode is of the same family as today: front end above the funds rate, long end at a wide premium. Second, today’s +102bp at ten years is only a third to a half of October 1993 (+219bp) or November 1994 (+330bp); yet the pure duration premium once policy expectations are stripped out (20Y minus 2Y) already stands at 84bp — about two-thirds of the vigilante peak (124bp) — while federal debt, at roughly 120 per cent of GDP, is nearly double the ~64 per cent of 1993. Third, from September 2024 (the whole curve 132–192bp below the funds rate) to today (33–152bp above), the entire curve has shifted up 240–290bp in parallel. When the ten-year touched 5 per cent in October 2023, the curve was deeply inverted — a “tightening shape”; today’s is a “term-premium shape”. The two are wholly different animals.
Figure 2 Yield minus policy rate by tenor (bp): eight historical cross-sections. The darker the red, the more the market charges the Treasury.
KEY TAKEAWAY：
The impairment is structural, not localised: policy expectations explain only the front end (2Y at +68bp over EFFR); the long end is pure term premium, with the twenty-year as the epicentre where the market charges America most. The pure duration premium already equals two-thirds of the 1994 vigilante peak. A parallel 240–290bp upward shift in 26 months is the signature of regime repricing — cyclical steepeners rotate, regimes shift.
II. The global league table: level with Germany, neck-and-neck with India at the front end
Applying the same yardstick to the major economies (Figure 3) yields a counterintuitive result: on “10Y minus policy rate”, the United States (+102bp) sits almost level with Germany (+88bp), and better than Britain (+125bp), France (+167bp), Italy (+169bp) and Japan (+178bp). But 2026 is the year of a global energy shock: the ECB, the Bank of Japan, the RBA, the Bank of Korea and the RBNZ have all turned hawkish, and term premia have expanded across the developed world in unison. America’s mid-table ranking is partly camouflage provided by a crowded ward.
Figure 3 Sovereign yields minus domestic policy rates by tenor (bp). The United States highlighted.
Decomposed by curve segment, three details matter. First, at the front end (2Y minus policy rate), the United States (+68bp) sits almost exactly alongside India (+72bp), Italy (+74bp) and France (+71bp) — a BBB-rated emerging market prices its front end a mere 4bp from the issuer of the global reserve currency. To be fair, this segment chiefly reflects the shared pricing of the 2026 tightening cycle — a policy story, not a credit one; but it also means the Fed’s credibility no longer buys the US Treasury any front-end discount.
Second, on the back-end league table (30Y minus policy rate), America remains on the “core credit” side, but only one position ahead of Britain and India. The full ranking reads: Japan (+288bp) > Italy (+250bp) > France (+244bp) > India (+215bp) > Britain (+192bp) > United States (+149bp) ≈ Canada (+155bp) > Germany (+136bp) > Australia (+118bp) > China (+79bp).
Third, the American impairment takes the form of the whole curve being lifted, not the long end whipping away: the 30Y–10Y slope of the United States (+47bp) is nearly identical to Germany’s (+48bp) and Australia’s (+51bp), and nothing like Japan’s (+110bp) or Italy’s (+81bp).
Adding the debt stock makes the picture actionable. Divide the ten-year spread by debt-to-GDP and you have what the market charges per point of debt (Figure 4): India roughly 2.6, France 1.45, Germany 1.40, Britain and Italy about 1.25 — and the United States just 0.85, the lowest in the table bar Japan (0.77), where the central bank itself is the buyer of last resort. The market is still granting Treasuries a “reserve-currency discount”. Were that discount to mean-revert to the G10 median (~1.25), the ten-year spread would widen to 150–170bp — roughly another 50bp of “normalisation” upside in long yields, requiring no crisis at all, only the market ceasing to price the privilege. Japan illustrates the alternative terminal state: with the central bank buying bonds as a matter of routine, the spread can be suppressed at 0.77 — at the price of the currency and the central bank’s balance sheet.
Figure 4 Debt/GDP versus the ten-year spread: the US sits well below the G10 “price of debt” reference line — the gap is the reserve-currency discount.
Term-premium models say the same. The New York Fed’s ACM ten-year term premium has risen to +0.72 per cent, the San Francisco Fed’s Christensen-Rudebusch model to +1.25 per cent — while the two-year premium is just +0.21 per cent: the impairment is located precisely in the long end. The SF Fed’s decomposition shows that of the ten-year yield, the average expected overnight rate over the next decade is only 3.47 per cent — below today’s EFFR — leaving some 1.25 percentage points of pure term premium: the elevated long end can no longer be explained by “the market thinks the Fed will tighten”; it is a straightforward sovereign-credit and duration surcharge. Between 2016 and 2021 that premium was negative — a global shortage of safe assets subsidised the US Treasury. The refund of that subsidy is the essence of this re-rating.
KEY TAKEAWAY：
In the cross-section America trades level with Germany, in the circle of Canada and Britain, and neck- and-neck with India at the front end — yet as issuer of the global reserve currency it historically belonged systematically below that benchmark. Its “spread per unit of debt” of 0.85 is the lowest in the table bar central-bank-underwritten Japan: the reserve-currency discount survives, but mean reversion to the G10 median of 1.25 implies roughly 50bp more “normalisation” in long yields — requiring no crisis, only the market ceasing to price the privilege.
III. The options market’s bimodal pricing
The cash curve tells us how much has been priced; the options market tells us what is still feared. As of 28 July, four markets are telling four different stories:
The numbers are internally inconsistent: rates options, the SKEW index and gold volatility are pricing fiscal stress, while the 25-delta equity skew and bitcoin volatility price business as usual. In plain terms, the market is pricing a bimodal distribution: a low-volatility centre of inertia, a discontinuous fiscal event in the deep tail, and an empty middle. Historically, such gaps have almost always closed with equity vol catching up to rates vol — October 2022 and October 2023 both followed that script — and the flatness of the 25d skew means equity downside protection is underpriced relative to the risk implied by the rates market.
The cross-asset implications are best read market by market.
US equities: three transmission channels. The discount-rate channel compresses multiples, with long-duration growth first in line; the Kalecki profits channel — a fiscal deficit of ~7 per cent of GDP is, accounting-wise, tantamount to private-sector surplus and nominal corporate earnings — props up nominal profits, producing a grinding, narrow index; and the correlation channel keeps the stock–bond correlation positive, stripping 60/40 and risk parity of their diversifier and forcing vol-target funds to deleverage in tandem whenever rates vol spills over. The winners are pricing-power companies, energy and curve-steepening beneficiaries such as banks; the losers are long-duration tech, bond proxies and small caps reliant on floating-rate funding.
Commodities: gold is the de-dollarisation hedge; oil is the front end’s driver. Gold is the market’s chosen “de-dollarisation hedge” in this episode — after a 27 per cent correction its IV remains pinned at 21–22 with call skew intact, evidence that the structure of central-bank buying underneath and options-market insurance on top is unchanged; oil drives the hawkish front end and is priced as “range-bound with upside skew”.
Crypto: the harshest verdict of 2026. In the first genuine year of sovereign-credit stress, capital chose gold, not bitcoin. Bitcoin traded all year as liquidity beta, suppressed by high real rates; the fulfilment of its debasement-hedge narrative requires the second phase — the central bank forced to monetise the fiscus — not the present first phase of a hawkish front end plus rising term premium.
KEY TAKEAWAY：
The options market is pricing a bimodal distribution: rates options, SKEW and gold volatility already pay for fiscal stress, while the 25-delta equity skew and bitcoin volatility still price business as usual. Historically such gaps close with equity vol catching up to rates vol — and while the centre is calm and the deep tail expensive, downside convexity at 25 delta is the underpriced window.
IV. History offers four endings
American sovereign credibility has been impaired four times before, and the menu of endings is fixed.
1933: creditor terms rewritten. Roosevelt abrogated the gold clauses in Treasury bonds, upheld by the Supreme Court in the Perry cases — America has technically rewritten its creditors’ terms once already.
1942–51: fiscal dominance, literally. The Fed pegged the curve outright for the war effort (bills at 3/8 per cent, bonds at 2.5 per cent); the ending was the inflation tax of 1946–48 (15–20 per cent) plus the 1951 Treasury–Fed Accord that restored independence. That is also the template for “if independence is lost”: yield-curve control.
1971–81: the closest analogue to today. Nixon pressed Burns, central-bank credibility was lost, and through the 1975–77 easing cycle the long end refused to follow — the identical curve shape to today’s. It ended with the 1978 dollar crisis, the Treasury forced to issue Deutschmark- and Swiss-franc-denominated “Carter bonds”, and Volcker taking rates to 20 per cent to rebuild credibility.
1992–94: the good-ending template. The bond vigilantes killed Clinton’s stimulus, forced the 1993 deficit-reduction act, and were rewarded with the surpluses of 1998–2001 and a converging spread.
The rule is singular: the ending is either fiscal consolidation (the 1950s, the 1990s), inflation and monetary subordination (the 1940s, the 1970s), or an external discipline event (Volcker). There has never been a default. And each time, the dollar system emerged more entrenched. So “deep impairment” is not destiny — but the political spectrum of 2026 shows neither a Volcker nor a Clinton, which is precisely why the options market has bid the deep tail so dearly.
KEY TAKEAWAY:
The menu of endings has only ever had three items: fiscal consolidation (the 1950s, the 1990s), inflation and monetary subordination (the 1940s, the 1970s), or an external discipline event (Volcker). There has never been a default — and each repair left the dollar system more entrenched. Impairment is not destiny; but the political spectrum of 2026 shows neither a Volcker nor a Clinton, which is why the deep tail is so expensive.
V. Trump: accelerant, not origin
Attributing the re-rating wholly to the Trump administration fails the timeline: the bear- steepening divergence between the ten-year and the funds rate began in September 2024 — before Trump took office. The full attribution has three layers. The foundation was laid by both parties (2008–21): the crisis response, the 2017 full-employment tax cut, the two rounds of Covid stimulus, and QE suppressing the term premium into negative territory — a subsidy that taught two generations of congressmen that deficits were costless. The trigger was pulled in 2022–24: the inflation breakout activated the “r greater than g” arithmetic, QT removed the marginal buyer of duration, the freezing of Russia’s reserves in February 2022 set off global reserve diversification, and Fitch (August 2023) and Moody’s (May 2025) successively stripped America’s top rating. Trump 2.0 is the accelerant, working through three channels: deficits of ~7 per cent of GDP at full employment, unprecedented in peacetime; public pressure on the Fed and key personnel choices, eroding the “independence premium”; and tariffs plus immigration restrictions prolonging inflation stickiness, pinning the front end hawkish.
In other words, Trump is neither the direct cause nor an irrelevance — he is best understood as a symptom and amplifier of the post-2008 fiscal equilibrium (an electorate that rewards deficits, and two parties in collusion). Even a fiscally conservative successor could slow but not reverse the trajectory: 120 per cent debt with r above g requires primary surpluses, on which no candidate campaigned in 2024.
KEY TAKEAWAY:
“All Trump” fails the timeline — the bear-steepening divergence began in September 2024, before he took office; “nothing to do with Trump” fails on the marginal contributions — ~7 per cent deficits at full employment and a discounted Fed-independence premium are genuinely new. The debt base was built by both parties (2008–21), the trigger was pulled in 2022–24, and Trump 2.0 is the accelerant — and a symptom of the same fiscal equilibrium.
VI. Emerging markets and “neutral” strategies: two shapes of the same storm
For emerging markets, the shock arrives bifurcated — and in the very week of writing, the bifurcation played out in its most extreme form.
(i) The AI-hardware economies: a leveraged mania, liquidated
After peaking near 9,400 in late June — up as much as 116 per cent year-to-date — South Korea’s KOSPI entered a technical bear market on 8 July, crashed 8.95 per cent on “Black Monday” 13 July, fell a further 5.73 per cent on 24 July, and on 28 July plunged 10.84 per cent, its eighth market-wide circuit breaker of the year, to close at 6,023.66: a maximum drawdown of more than a third from the peak. Samsung Electronics and SK hynix fell 13.39 and 14.65 per cent on the day.
Retail leverage was the amplifier. Sixteen single-stock 2x leveraged ETFs, approved on 27 May, attracted nearly 12 trillion won in fifty days — over 90 per cent of it into Samsung and SK hynix alone — and the “fall, forced rebalancing sale, fall further” death spiral left more than 1.2 million leveraged accounts receiving margin calls and hundreds of thousands forcibly liquidated. The exchange has triggered 40 sidecars and eight circuit breakers this year; the KOSPI volatility index reached 97.99 at end-June, near an all-time high.
The transmission chain is traceable. Meta’s latest $12.5bn data-centre bond priced at roughly 5.0 per cent, well above the ~4.2 per cent of its 2025 issuance — the discount-rate repricing of AI capex has begun; TSMC’s June revenue turned negative month-on-month and its capex guidance was raised above $60bn, sparking a global “peak compute, memory glut” chip selloff. Korea is the most concentrated economy on that chain (two stocks exceed half of index market capitalisation), with the most retail leverage, and a central bank still hiking while the won stays weak despite large surpluses. Chinese A-shares moved in sympathy: on 28 July the ChiNext index slumped 7.35 per cent, its worst day in over a year, the Shanghai Composite barely held 3,800, and memory, optical-module and semiconductor names led the decline while banks and liquor stocks rose.
(ii) The failed hedge and the soft dollar: this is no taper tantrum
The most regime-relevant detail is the failure of bonds to hedge: on 28 July, as Asia-Pacific equities crashed, the ten-year Treasury yield rose rather than fell, holding a 4.6–4.7 per cent range — the old “equities crash, Treasuries rally” relationship did not appear. The same day, Nasdaq futures fell 2.29 per cent while Dow futures rose 1.12 per cent, and cash-rich software rallied as chips slumped. This is not recession fear but a repricing of discount rates and cash- flow duration: money has not left the building, it has moved from long-duration assets to cash- generative ones — the standard signature of positive stock–bond correlation and systematic duration repricing under fiscal dominance.
The dollar’s position is equally telling: the dollar index closed at only about 101.6 on 28 July, in the lower half of its multi-year range. Unlike the 2013 taper tantrum, this is not a strong-dollar squeeze — the risk emanates from America’s own fiscal and AI-funding repricing, and the dollar did not strengthen into the shock. The IIF records non-resident portfolio outflows of $26.6bn in May and $17.8bn in June, after a record $98.8bn January inflow — the full stress sequence since the Iran war (Figure 5).
Figure 5 EM non-resident portfolio flows: from a record January inflow to two consecutive months of outflows.
Derivatives pricing matches the cash picture: South Korea’s five-year CDS sits at just 52.5bp, China’s at 31bp — credit is not yet pricing stress; the stress is concentrated in flows and volatility — again the bimodal signature of a calm centre and a moving tail. China’s position is distinctive: a ten-year yield of 1.73 per cent, the lowest curve-to-policy spread in the table, calm CDS, and a Hang Seng index up 9.9 per cent in July — the “anti-trade” pole of the global term- premium storm, exporting disinflation while attracting reserve-diversification demand for renminbi assets. The A-share decline is the resonance of the global AI-chain repricing with domestic liquidity events — ChangXin’s 57.9bn-yuan IPO (the STAR Market’s largest ever, freezing roughly 1.7 trillion yuan of subscription funds), extreme crowding (TMT above 45 per cent of turnover) and a ten-day falling margin balance — a structural clear-out, not a systemic bear market.
(iii) Neutrality is no immunity: three transmission channels
For “strictly neutral” strategies — volatility strategies, dollar-neutral long/short, statistical arbitrage — one illusion must first be dispelled: neutrality hedges direction, not regime. The shock travels through three channels. The funding channel: with EFFR at 3.63 per cent and bills at 3.8–4.0 per cent, the cash hurdle for every neutral strategy is roughly 400bp higher — gross exposure must earn four extra points merely to stand still, while leverage costs (repo, swap financing, borrow) rise in step. The correlation channel: in a positive stock–bond-correlation world, “dollar neutral” is not “duration neutral” — a book long growth and short value carries an implicit short-duration exposure, rate-driven factor rotations trigger crowded unwinds (the 2022 “quant winter” is the template), and pairwise correlations converge to one in the tail, compressing stat-arb Sharpe first. The crowding channel: when term premium becomes the dominant macro variable, every macro-driven quant fund de-risks on the same signal at the same time — neutral strategies rarely die of direction; they die of funding, crowding and correlation spikes, as in the August 2007 “quant quake”, February 2018, and the UK LDI episode of October 2022.
(iv) The other side of the coin: historic soil for volatility strategies
It must be said that the current regime is also historically the richest soil for disciplined volatility strategies. AI-driven concentration offers dispersion opportunities — high single-stock vol against low index vol — in America and Korea alike; the gap between the flat 25d equity skew and the extreme SKEW is a relative-value vol window; and the rates-vol/equity-vol gap offers a convergence trade with negative carry but positive expectation. What should genuinely be avoided is leveraged carry and short gamma: a bimodal distribution means jump risk is rising, and margin and VaR shocks always force deleveraging at the worst moment. For a multi-pod fund built around volatility and derivatives, the message of the current regime compresses into one sentence: the exposure has not disappeared — it has migrated from delta to gamma, funding and crowding. Term premium itself has become a directly tradable risk factor: long 10s20s steepeners and back-end payer vol, long gold 25d call skew, long equity downside convexity while the 25d skew is flat — three legs pricing the same thing, and the difference in how far each has priced is itself the source of alpha.
KEY TAKEAWAY:
Two ends of the same chain: Korea’s leveraged liquidation is where “Treasury term premium → AI funding costs → long-duration repricing” met a uniquely fragile retail microstructure, while the soft dollar, unmoved credit and the failed bond hedge prove this is regime repricing, not a dollar squeeze or recession scare. For neutral strategies, the exposure has not disappeared — it has migrated from delta to gamma, funding and crowding.
VII. In place of a conclusion: a monitoring checklist
This re-rating is neither vindication of the “collapse” thesis nor continuation of “exorbitant privilege” as usual. It resembles a blend of 1993 and 1975: some distance remains in magnitude; the mechanism is already of the same kind. For investors, triggers are more useful than opinions:
· Term premium: whether the New York Fed’s ACM and San Francisco Fed’s CR readings keep rising;
· The equity-skew gap: the direction in which the gap between SPY 25d skew and the SKEW index closes;
· Hedge structures: the resilience of gold’s 25d call skew, and the percentile turn in bitcoin skew;
· Supply digestion: tails at twenty-year Treasury auctions;
· Emerging markets: the IIF’s monthly flows, plus the right-tail frenzy of the AI-hardware economies tracked by VKOSPI and Korea’s leveraged-ETF assets;
· The regime signal: whether Treasury yields still refuse to fall on risk-off days — the failure of the bond hedge is itself the signal.
When the “spread per unit of debt” converges from 0.85 towards the G10 median of 1.25, and when the 30Y–10Y slope migrates from +47bp towards the British and French shapes, “deep impairment” will pass from pricing structure to pricing consensus. History says the window before consensus forms has always been the best entry point for exactly this kind of trade.
This report is based on public data and reasonable inference and does not constitute investment advice.
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This article is based on a July 20, 2026 interview conducted by WuBlockchain with Lucas V. Schuermann, founder and CEO of Variational, focusing on why Variational is bringing traditional finance liquidity into on-chain RWA derivatives markets and how its liquidity aggregation model differs from conventional order book-based venues.
Lucas argues that the core bottleneck in on-chain RWA trading is not simply insufficient demand or liquidity. Under the prevailing market structure, every new listing often requires venues to rebuild order books, oracle systems, pricing mechanisms, hedging access, and market-making infrastructure from scratch.
Lucas also explains Variational’s phased TradFi liquidity rollout. The platform initially launched RWA perpetual contracts hedged through crypto-native venues, is now gradually integrating traditional financial institutions and hedging partners, and plans to introduce RWA swaps with more direct access to TradFi liquidity.
According to Lucas, RWA pairs currently account for approximately 40% and rising of Variational’s open interest and trading volume, with RWA open interest approaching $500 million.
The discussion also covers the technological, regulatory, and settlement barriers facing traditional institutions entering on-chain markets, how Variational separates user funds from OLP and external hedging risks, and how its model differs from those of Hyperliquid, Deribit, and Jupiter Perps. Lucas believes Variational’s long-term opportunity is not merely “perps on everything,” but ultimately “swaps on everything.”
The guest’s views do not represent the views of WuBlockchain and should not be taken as investment advice. Please strictly follow local laws and regulations. The audio transcription and editing were completed with GPT assistance and may contain errors.
Lucas and Variational
Fiona: Please introduce yourself and Variational.
Lucas: I’m Lucas, the founder and CEO of Variational. I have spent about 10 years working in high-frequency and quantitative trading, both in crypto and at traditional financial institutions.
Variational is a protocol focused on on-chain derivatives. Since launching in 2025, we have become one of the largest venues for on-chain trading of both crypto and traditional markets. In the coming weeks we’re introducing swaps, an instrument that’s standard in traditional markets but new to on-chain trading.
What the TradFi Liquidity Rollout Means
Fiona: How would you explain this “TradFi liquidity rollout” in the simplest possible terms? What exactly got rolled out?
Lucas: When we refer to traditional finance markets, we’re talking about perpetual contracts and other linear derivatives based on underlying assets such as U.S. equities, gold, oil, and other markets commonly associated with traditional finance.
Trading these assets on-chain has become increasingly popular under labels such as “real-world assets (RWAs)” or “TradFi on-chain.” In spite of this popularity, the liquidity and number of these markets available on-chain remain limited.
The main problem is that for most on-chain exchanges, a new order book has to be built for every market. Each of those order books then has to attract its own liquidity from scratch, competing against the depth already available on traditional venues like U.S. exchanges and major financial institutions. The result is a sizable gap between what’s available on-chain and off-chain.
The simplest way to understand Variational’s TradFi liquidity rollout is that we’re trying to bring this existing off-chain liquidity on-chain instead of trying to rebuild it from scratch.
The first set of partnerships and integrations connects Variational directly to the deep liquidity that already exists in traditional markets and uses it to support on-chain trading.
Why Variational Is Prioritizing TradFi Liquidity Now
Fiona: Why is Variational now prioritizing access to TradFi liquidity? Is this just the natural next step after the product matured, or is it being driven by strong market demand?
Lucas: It’s both.
Variational has always been designed around liquidity aggregation. Instead of rebuilding liquidity independently on every order book, our objective from day one has been to connect to the most liquid venues available for hedging. That’s what allowed us to offer users the widest range of crypto derivatives available on-chain.
However, our long-term ambition was never limited to crypto. We’ve always wanted to add traditional assets and, eventually, other categories like prediction markets as well.
Our ultimate objective is to build something closer to a broker-like model than a conventional order book-based exchange. Crypto was the natural starting point, but the next step is to focus on the markets where we’re seeing the strongest demand.
RWA trading has grown rapidly in 2026. This is a natural fit for Variational’s architecture: rather than rebuilding small pools of liquidity on-chain, we can connect directly to TradFi venues and bring the depth of traditional markets into an on-chain environment.
We see RWA derivatives as one of the largest potential growth drivers for on-chain trading, and we are already seeing that show up in our own numbers.
Improvements in Spreads, Depth, and Trading Activity
Fiona: What concrete improvements have you seen since the TradFi liquidity rollout, for example in spreads, depth, fill quality, supported markets, open interest, or trading volume? Which metric matters most to you internally?
Lucas: According to DefiLlama, Variational is now the second-largest venue behind Hyperliquid for on-chain RWA perpetual trading. Roughly 40% of our open interest and trading volume now comes from RWA pairs. That represents just under $500 million in RWA open interest. Internally, the metric we care about most is organic usage from real traders, and RWA trading is where that growth is coming from right now.
At the same time, we believe we are still at a relatively early stage.
Our first steps into traditional markets involved listing perpetual contracts on RWA markets using exclusively crypto-native liquidity sources (CEXs and DEXs). That approach has worked well, and we’ve seen great adoption from our users.
However, it also has limitations. The available depth is still constrained by the liquidity of crypto-native venues, and there are limits to the number of markets that can be supported effectively.
After listing over 70 RWA markets, our focus is now shifting toward an instrument that’s standard in traditional markets but has never really existed on-chain: swaps. We believe they’ll create a fundamentally different trading experience for our users.
A swap is a bilateral contract where the trader faces a direct counterparty (in our case the Omni Liquidity Provider) rather than an exchange order book. Unlike perpetuals, which rely on variable funding rates, swaps have predictable carry costs. OLP hedges swaps directly on TradFi venues, so we can offer depth that isn’t capped by what crypto-native order books can support. In practice this means tighter spreads, deeper liquidity at size, and the ability to list a breadth of markets that would take years to bootstrap on orderbooks.
We expect that bringing TradFi liquidity on-chain through swaps will drive further growth in volume, open interest, and overall platform activity.
What Infrastructure On-Chain RWA Markets Still Need
Fiona: For on-chain derivatives to expand beyond crypto-native assets into equities, commodities, indices, volatility products, or RWAs, what infrastructure needs to be in place first? Is liquidity the main bottleneck, or are oracle design, hedging access, and market structure equally important?
Lucas: Liquidity is the most visible bottleneck, but oracle design, hedging access, and market structure are all connected to it.
Right now, every on-chain exchange has to solve these problems independently and in a crypto-native way every time a new market is introduced. They must create a new pool of liquidity or bootstrap a new order book. They must determine where oracle data comes from and how the index price is calculated. They have to define the instrument, set market hours and roll schedules, and find market makers able to quote and hedge the product.
Some excellent work has been done by Hyperliquid and other venues on these problems. But when every market requires solving all of these problems from scratch, there are inherent limits on liquidity depth and on how many markets a venue can realistically offer.
The real bottleneck is actually the exchange model itself.
Variational uses a fundamentally different model. Instead of solving these problems market by market, we solve them once at the protocol level. Because Variational aggregates liquidity and hedges through venues where these markets already trade, including TradFi venues directly, a new listing doesn’t require bootstrapping a new order book, recruiting new market makers, or reinventing the instrument. The liquidity, pricing, and hedging infrastructure already exist; we connect to them.
This is the most structurally important change Variational is introducing, and the key to unlocking on-chain RWA trading at scale.
The Main Frictions Facing Traditional Institutions
Fiona: When traditional market makers or OTC liquidity providers move into on-chain derivatives, what is the biggest friction they face? Among technology, compliance, capital efficiency, and settlement habits, which one is the hardest?
Lucas: There is friction in all of the areas you mentioned.
For a large traditional institution, even one major point of friction can prevent an integration from happening entirely. It’s not a matter of one factor being more difficult than another; it’s that everything needs to line up, or the integration isn’t happening.
For example, regulatory or internal compliance requirements may prevent a large bank from facing an on-chain counterparty. Similarly, if the settlement or risk management processes involved in interacting with smart contracts are not acceptable to an institution’s risk team, that institution cannot proceed with the integration.
The technology is also completely different. Traditional finance already has established infrastructure, including single-dealer platforms, multi-dealer platforms, FIX connectivity, and regulatory standards built around those systems. Those systems are very different from native on-chain infrastructure.
Very few of the largest traditional financial institutions, including institutions managing or trading trillions of dollars across global markets, currently operate directly on-chain. This is the problem we’re trying to solve by connecting to these institutions through their existing off-chain infrastructure and traditional financial rails. Variational then acts as the bridge that brings the resulting liquidity into an on-chain environment.
This is the key point: OLP faces traders on-chain, while traditional institutions never need to move their operations on-chain at all.
Technology, compliance, capital requirements, and settlement practices are all real barriers that won’t disappear anytime soon, particularly for the largest traditional participants. That’s why we built a model that reduces the need for traditional institutions to interact directly with on-chain infrastructure.
How TradFi Integration Changes OLP
Fiona: OLP is Omni’s sole counterparty. After integrating TradFi liquidity, what changes will there be to OLP’s quoting, hedging, and risk management mechanisms?
Lucas: Integrating TradFi liquidity is a completely different problem from integrating crypto-native venues. Swaps often have defined trading hours instead of trading 24/7 like perps, and they use different index data, roll schedules, carry structures, and hedging parameters. All of that has to be built into OLP’s quoting, hedging, and risk systems, in many cases from the ground up.
It’s difficult work, but much of our team comes from traditional markets and has built this kind of infrastructure before. Honestly, that’s a big part of our edge: OLP’s ability to handle these mechanics is what lets Variational quote and risk-manage TradFi markets at all.
Balancing Off-Chain Execution With On-Chain Transparency
Fiona: Variational talks about aggregating liquidity from both on-chain and off-chain sources. How do you balance better execution from off-chain liquidity with the transparency and trust assumptions users expect from on-chain trading?
Lucas: The way capital moves and is held on Variational does not change when we integrate off-chain liquidity.
When users trade on Variational, their assets remain in isolated escrow smart contracts on-chain. This is the same whether they are trading a crypto perpetual, a TradFi perpetual, or a TradFi swap. User balances and OLP’s on-chain balances remain on-chain. They are transparent and can be observed through block explorers.
What happens off-chain is hedging.
Both in crypto and in traditional finance, some of the most liquid trading venues are off-chain. OLP has always used centralized venues for hedging certain crypto positions. We are now applying a similar model to TradFi venues. There are several operational challenges, including rebalancing, moving between fiat and crypto rails, and ensuring that the system remains adequately protected.
However, the transparency of user balances does not change. Transparency and the ability of users to verify where their assets are have always been core pillars of Variational’s design.
In terms of trust assumptions, OLP has always hedged on off-chain venues, so users aren’t taking on a new category of risk here. If anything, the TradFi venues we’re adding are among the most regulated counterparties in finance.
What Happens if an External Hedging Venue Fails
Fiona: User fund isolation is a key point you emphasize in your documentation. Could you explain in detail: If something goes wrong at an external hedging venue, how would user funds and OLP funds be affected respectively?
Lucas: User funds are observable on-chain and completely segregated from OLP. This segregation is intentional.
User funds are isolated in two ways. First, they are isolated from the market-making and liquidity provision system. Second, users are isolated from one another.
When a user opens an account on Omni, the protocol creates an independent smart contract that holds only that user’s collateral. Every account gets its own contract, and no contract can access another, which isolates bad debt and liquidation risk between users.
User collateral is also fully segregated from OLP, which operates with its own balance sheet, capital, hedging arrangements, and rebalancing system. User funds are never rehypothecated or transferred from user collateral positions to external hedging venues. External hedging is handled separately by OLP.
If an external hedging venue experienced a failure, it could create an economic loss for OLP, but would not impact user funds in isolated smart contracts.
One more important detail: OLP settles realized PnL, funding payments, and a portion of unrealized PnL to users in real time. So even in a catastrophic scenario at a hedging venue, everything already settled (collateral, realized gains, funding) sits safely in the user’s own contract. The only exposure would be unrealized PnL that hadn’t yet been settled.
This structure is similar to escrow or tri-party collateral arrangements in traditional finance, except on-chain settlement lets much of it happen in near real time.
Who Benefits Most From the Rollout
Fiona: Who benefits most from this rollout today: retail traders on Omni, professional traders, market makers, or institutions using Pro? Do you expect the benefits to converge over time?
Lucas: I expect the benefits to converge over time, but today the platform is built for retail and broad-market users. Our trading API and Variational Pro aren’t live yet, so we don’t directly serve market makers and aren’t optimized for every type of professional trader. The liquidity we’re introducing, especially through swaps, will eventually be attractive to all of these groups, though.
For retail traders, our objective is to provide hundreds of crypto and RWA markets within a single account and balance, with execution quality similar to what users would expect in traditional finance. Swaps will give retail users access to the same kind of instrument institutions have always used to trade these markets.
In the immediate term, the largest beneficiaries will therefore be the retail-oriented users already trading on Omni.
For professional traders, it depends what you mean by professional. Plenty of prop firms, day traders, and large individual traders already use Omni for the zero-fee structure, market selection, and execution quality. Over time, professional traders and some market makers may also use Variational swaps to hedge positions, trade basis, or capture other arbitrage opportunities. The API will open the platform up to them properly, since most professional strategies run electronically.
Variational Pro, our next product, will focus on institutions.
The institutional OTC derivatives market remains largely underserved on-chain. This is an enormous market even within crypto, before considering the broader institutional market for traditional asset derivatives. That’s the market Pro is built for. The underlying protocol has always been designed to support not just perps and swaps but options, structured products, and peer-to-peer institutional trading.
Omni is currently the retail-facing product, while Pro represents the longer-term institutional opportunity. The work being done today is laying the foundation for institutions to benefit from the protocol in the future.
Variational’s Liquidity Model Versus Hyperliquid, Deribit, and Jupiter Perps
Fiona: Compared with Hyperliquid, Deribit, or Jupiter Perps, what is the biggest difference in Variational’s liquidity design?
Lucas: The biggest difference is order book-based exchange versus broker-like liquidity aggregation.
Order books have worked extremely well for major pairs. Hyperliquid in particular has done excellent work. But the order book model inherently limits how many markets can be supported with consistently deep liquidity.
Variational doesn’t build order books; we aggregate them. We connect to other venues, including order-book exchanges, and use them for hedging. And because we monetize aggregated order flow the way a broker or market maker would, rather than charging trading fees, we can offer zero-fee trading across hundreds of markets while keeping the economics sustainable.
For RWAs, this difference is even bigger: an aggregator can plug into TradFi liquidity directly, which an isolated order book structurally can’t. That’s also why swaps fit our model so naturally.
The 12-to-24-Month Goal: From Perps to Swaps on Everything
Fiona: Looking 12 to 24 months ahead, what would make this TradFi liquidity strategy successful? Is the goal deeper crypto markets, broader asset coverage, more institutional OTC flow, or ultimately “perps on everything”?
Lucas: Asset coverage and “perps on everything” are both part of it, but I’d define the thesis differently.
Broadening coverage is the most visible part of the next 12 to 24 months. We have over 70 RWA perpetual markets listed today and we’ll keep adding more. But most of our listings over the next year will be swaps. Because swaps don’t require bootstrapping a standalone order book per market, we can realistically list hundreds and eventually thousands of RWA swaps. Institutional OTC flow is part of the strategy too, but that runs through Variational Pro, which we expect to talk about in more detail in 2027.
“Perps on everything” is a fair description of part of the objective. But I think Variational’s thesis is ultimately better described as “swaps on everything.” Perps are a useful instrument and we’ll keep listing more of them. For most RWA markets, though, swaps are simply the better structure, and the ability to hedge them directly into TradFi liquidity is unique to our model.
So our measure of success would be to see swaps become the most widely used instrument for trading RWAs on-chain in the next 12 to 24 months. We’re starting from a strong position, and as swaps go live and more TradFi hedging venues come online, we think Variational can redefine how RWAs are traded on-chain.
Why Variational Is Not Just Another Perpetual Exchange
Fiona: Before we wrap up, is there anything else you would like to add or anything we have not covered that you think is important?
Lucas: The question I get most often is whether Variational is just another perpetual exchange. I hope this conversation has helped make clear why it isn’t: we don’t operate order books, we don’t charge trading fees, and instead of rebuilding small pools of liquidity from scratch, we’re bringing the liquidity that already exists in traditional finance on-chain.
The next step is the big one. Our swaps launch is expected in the coming weeks, and will be the first time an instrument like this has been available to on-chain traders. If you’ve traded RWA perps and been frustrated by funding costs or thin books, that’s exactly what swaps are built to fix. Come try it, and judge the difference for yourself.

MEXC Ventures has announced its support for Alpha Arena’s expansion into APAC, serving as Main Sponsor of Alpha Arena S03 alongside Co host TRIV. Following successful editions in Amsterdam and Berlin, the global esports-inspired live trading tournament will make its APAC debut with the Bali Grand Final on August 20, 2026, during Coinfest week.More than 50 traders from three participating markets are expected to compete for a $100,000 prize pool. Through live trading competition, community engagement, and ecosystem collaboration, Alpha Arena S03 aims to bring together traders, creators, and Web3 communities across the region.

Aave founder Stani Kulechov said the protocol will deprecate 50 low-adoption asset reserves and wind down deployments on Sonic, Scroll, zkSync, Metis, Soneium and Aptos. It will also retire 21 matured Pendle principal tokens, with the changes affecting about USD 98.1 million in supplied assets and USD 15.6 million in debt as Aave seeks to reduce economic and technical risks. Aave is DeFi’s largest lending protocol by total value locked, with about USD 14.3 billion across 23 chains.

HashKey Cloud has joined the BEATOZ mainnet as a validator, participating in network consensus and security. The companies will also cooperate on node infrastructure, security standards and global ecosystem initiatives, with a focus on supporting real-world assets, stablecoins and tokenized securities on BEATOZ. BEATOZ is an EVM-compatible hybrid Layer 1 designed for compliant financial applications. HashKey Cloud is the institutional staking and validator infrastructure arm of Hong Kong-listed HashKey Holdings, providing services across more than 40 blockchain networks.

South Korea will begin taxing crypto gains on January 1, 2027, as scheduled, Deputy Prime Minister and Finance Minister Koo Yun-cheol said, ending speculation over another delay. Annual gains exceeding KRW 2.5 million will face a 20% separate income tax, rising to 22% with local taxes. Koo said shortcomings could be addressed after implementation. The tax, originally due in 2022, has been postponed three times and may further pressure trading activity in one of the world’s largest retail crypto markets.

U.S. spot Bitcoin ETFs recorded net inflows of USD 32.11 million on July 29, according to SoSoValue, with BlackRock’s IBIT attracting USD 89.83 million as outflows from other funds offset part of the gain. Among spot Ethereum ETFs, Morgan Stanley’s newly launched Ethereum Trust (MSSE) posted the largest inflow at USD 14.30 million.

U.S. SEC Chair Paul Atkins said the agency is prepared to move ahead with crypto market rules within its authority if Congress fails to pass the CLARITY Act, although legislation would provide a more durable framework less vulnerable to changes between administrations. The bill advanced through the Senate Banking Committee by a 15-9 vote on May 14 but has not received a full Senate vote.

Arthur Hayes predicts three major factors that could pop the AI bubble (ARCHIVE FOOTAGE)
On June 26, 2026, Arthur Hayes, co-founder of BitMEX, shared in an interview with Bonnie Blockchain three core reasons that could lead to the burst of the current AI bubble.
He believes that, first, soaring oil prices triggered by geopolitical conflicts will significantly drive up compute costs in the AI sector; second, the US government's politicized bans on frontier models expose foreign paying users to extreme risks of sudden service cut-offs; finally, out of fear of such disruptions, foreign users will pivot massively to Chinese open-source models, which cost only one-tenth of the US models. This trend will directly crush the high valuation foundation of US AI companies that rely on high fees and high profit margins.

Jordi Visser: The Most Profitable Phase of the AI Trade May Be Over. Is Crypto Next?
On July 25, 2026, veteran macro investor Jordi Visser said on Anthony Pompliano’s show that people are increasingly accepting a new reality: Bitcoin is not a global currency, it will not replace the U.S. dollar, and stablecoins are more likely to replace SWIFT.
On AI, he said the most profitable phase of the AI trade may already be over, though that does not mean the AI story is over. As traditional finance and crypto begin to converge, tokenization and stablecoin infrastructure may enter the mainstream earlier than many expect.

Robinhood’s second-quarter net revenue rose 32% year-over-year to a record $1.31 billion, while net income increased 48% to $573 million and diluted EPS reached $0.62. Transaction-based revenue grew 44% to $776 million, driven by event contract revenue of $156 million, up more than 10x, alongside strong growth in options and equities. Crypto revenue fell 38% to $100 million, while net deposits reached a record $21.7 billion.

Crypto journalist Eleanor Terrett reported that Binance US plans to apply to the CFTC in August for designated contract market status, with the goal of offering prediction markets to customers. The move is part of the exchange’s broader comeback strategy, which centers on lower trading fees and expansion beyond spot trading into products including prediction markets and perpetual contracts.

The Federal Reserve voted 9–3 to leave the federal funds rate target range unchanged at 3.50%–3.75%. The FOMC said economic activity is expanding at a solid pace, while inflation remains elevated relative to its 2% goal. Beth Hammack, Neel Kashkari, and Lorie Logan dissented, favoring a 25-basis-point increase.

Japan-listed eole Inc. (TSE Growth: 2334) purchased 1,078.2547 HYPE on July 28 for approximately JPY 10.08 million ($61,600), at an average price of JPY 9,352.78 ($57.10) per token, becoming the first listed company in Japan to purchase HYPE. The company plans to make additional purchases by the end of August, bringing its total investment to JPY 100 million ($610,500), and will hold HYPE as a strategic digital asset under its “Neo Crypto Bank” initiative to support its on-chain finance and Web3 businesses.

BitMEX helped establish perpetual contracts as core crypto market infrastructure through mechanisms such as funding rates, mark prices, insurance funds, liquidation engines, and ADL. The article examines how inverse contracts amplified the March 12, 2020 liquidation cascade and why BitMEX’s outage may have interrupted the cascade and prevented Bitcoin from falling further.
It also explains how regulatory pressure, slow product development, continued reliance on BTC-margined contracts, and a poor operational experience pushed users toward Bybit, which gained market share through USDT-margined products, faster iteration, and a broader “super-app” model. Despite its decline and closure, BitMEX remains one of the most important product innovators in crypto derivatives.

Tether’s GENIUS Act-compliant stablecoin USAT has launched on Celo, marking its second mainnet deployment after Ethereum. Issued by Anchorage Digital Bank, USAT supports native minting and burning on Celo and can be used directly to pay gas fees. Launched in January, USAT currently has a market capitalization of approximately $185 million.