What Kind of DeFi Does Wall Street Want?

marsbitPublished on 2026-04-02Last updated on 2026-04-02

Abstract

Wall Street's vision for DeFi has shifted from simple asset tokenization to building a programmable, restructurable fixed-income infrastructure that enables yield financialization. The key driver is no longer retail speculation but institutional capital and Real-World Assets (RWA), with DeFi TVL surging from ~$115B to over $237B in 2025, while active wallets declined—indicating large, infrequent institutional inflows. RWA, now valued at $27.5B (up 2.4x YoY), is used as collateral in protocols like Aave Horizon, Maple Finance, and Centrifuge, creating an on-chain repo and rehypothecation flywheel. These structures function like institutional money-market funds, offering 4–6% yields from tokenized treasuries and stablecoin pools. Crucially, institutions are moving beyond holding assets to actively managing yield and risk. Protocols like Pendle Finance allow yield tokenization—splitting assets into Principal Tokens (PT) and Yield Tokens (YT)—enabling fixed-rate exposure, speculation, and on-chain interest rate hedging using mechanisms like yield AMMs. However, major barriers remain: public blockchain transparency exposes positions and liquidation levels, creating adversarial risks, and compliance (KYC, sanctions screening, audit trails) must be natively embedded into protocols—not added externally. Zero-knowledge proofs could offer a solution by enabling regulatory verification without leaking sensitive data. In summary, Wall Street wants a DeFi that integrates with global c...

Author: Chloe, ChainCatcher

For years, tokenization has been positioned as the bridge for cryptocurrencies to reach Wall Street. The logic behind putting treasury bonds on-chain, issuing tokenized funds, and digitizing stocks has always pointed to one idea: once assets are on-chain, institutional capital will naturally follow.

But tokenization itself has never been the endgame. DWF Ventures believes that the real key to unlocking the institutional market is not digitizing assets, but financializing yield.

Since 2025, the Total Value Locked (TVL) in DeFi has climbed from approximately $115 billion to over $237 billion. The main driver behind this is no longer purely speculative retail investors, but real institutional capital and Real-World Assets (RWA). Institutions are no longer just watching; they are starting to see DeFi as infrastructure for deploying capital.

It can be said that the DeFi Wall Street truly wants to see has shifted from "putting assets on-chain" to a "programmable, recomposable, interest-rate-risk-hedgeable" fixed-income infrastructure. Today, we can glimpse this transformation through TVL and RWA data, institutional protocol examples, yield tokenization theory, and the implementation of privacy and compliance.

TVL and Institutional Data: Which Layer Are Institutions Filling?

In Q3 2025, DeFi's TVL climbed from about $115 billion at the start of the year to $237 billion. Meanwhile, the number of active wallets on-chain decreased by 22% in the same period. DappRadar data clearly shows that the push behind this rally is not from retail investors, but from "high-value, low-frequency" institutional capital.

In this structure, the most crucial part is RWA: As of the end of March 2026, the total value of RWA had reached $27.5 billion, a growth of over 2.4 times compared to $8 billion in March 2025. These assets are primarily used by institutions as collateral for stablecoin loans through protocols like Aave Horizon, Maple Finance, and Centrifuge, forming an "on-chain repo (repurchase agreement)" re-collateralization flywheel.

Taking Aave Horizon as an example, its RWA market had accumulated an asset size of about $540 million by the end of 2025. This includes stablecoins like Superstate's USCC, RLUSD, and Aave's GHO, as well as various US Treasury assets (like VBILL), with annualized yields ranging between 4-6%. This structure is essentially an "institutional version of a money market fund": the front end consists of tokenized treasury bonds and bills, the back end is a stablecoin liquidity pool, and smart contracts automatically handle interest payments, refinancing, and liquidation in the middle.

From "Holding" to "Operating": Are Institutions Playing On-Chain Repo or Fixed Income?

In the traditional fixed income market, bonds are not just tools for holding and collecting interest; they are used for repo (repurchase agreements), re-collateralization, splitting, and embedding into structured products, forming a flywheel of capital efficiency. By 2025, DeFi had begun replicating this logic.

Maple Finance's TVL surged from $297 million in 2025 to over $3.1 billion, at times approaching $3.3 billion. The main driver was institutions entering the RWA lending market, tokenizing private loans and corporate loans for "over-the-counter" stablecoin lending and refinancing.

Centrifuge, on the other hand, focuses on converting Small and Medium Enterprise (SME) loans, trade finance, and accounts receivable into on-chain assets. To date, its ecosystem manages over $1 billion in TVL and has successfully developed multiple diversified asset pools, extending from private credit to highly liquid US Treasury bonds.

Simultaneously, Centrifuge has also integrated deeply with top DeFi protocols, such as Sky (formerly MakerDAO). Through its collaboration with Centrifuge, MakerDAO can invest its reserves in real-world enterprise loans, providing substantial yield support for the stablecoin DAI. There's also Aave; the two joined forces to create a dedicated RWA market, allowing KYCed institutional investors to use Centrifuge's asset tokens as collateral, achieving cross-protocol liquidity cycles.

Yield Tokenization and Yield Trading Markets: Can Interest Rate Risk Be Hedged?

If you were to map the structure of Wall Street's fixed income market, you would see several key modules: principal and interest can be separated (e.g., zero-coupon bonds, stripped coupons), interest rate risk can be independently traded and hedged, and liquidity and compliance can be separated but reconnected through middleware.

In May 2025, a paper titled "Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi" on arXiv first proposed a formal framework for "yield tokenization": splitting yield-bearing assets into "Principal Tokens (PT)" and "Yield Tokens (YT)", and using SDEs (Stochastic Differential Equations) and a no-arbitrage framework to price and hedge interest rate risk.

This design has already been implemented in some protocols. Take Pendle Finance as an example. Pendle uses a specially designed Yield AMM whose price curve adjusts over time (time decay factor), ensuring the PT price converges to its redemption value at maturity. These mechanisms allow market participants to allocate liquidity based on risk preferences (e.g., fixed-rate seekers buy PT, yield speculators buy YT).

For institutions, this means yield structures can be "modularized" and directly plugged into traditional asset allocation models (e.g., duration, DV01, interest rate risk contribution); interest rate risk no longer needs to be hedged solely with off-chain futures or IRS (Interest Rate Swaps). Instead, it can be adjusted directly on-chain by trading "yield tokens," enabling instant and transparent interest rate risk hedging and significantly improving capital efficiency.

Two Major Real-World Challenges: Privacy and Compliance

Even as DeFi's TVL breaks through tens of billions of dollars, the large-scale inflow of institutional capital is still hindered by two key challenges: privacy and compliance.

First Challenge: Public Chain Holdings Are Transparent, Liquidation Points Are Exposed

On mainstream public chains, every transaction and address's holdings are publicly visible, which poses an extremely high risk for institutions. Trading strategies, leverage levels, and liquidation points can be completely known by counterparties, potentially leading to targeted shorting and liquidation. Once a liquidity crunch or price volatility occurs, malicious actors can place orders targeting specific addresses, amplifying losses. This is one reason institutional capital is hesitant to fully commit to DeFi.

Here, zero-knowledge proofs (ZKPs) may become a key solution. They would allow institutions to prove their legitimacy to regulators without leaking information publicly. Specifically, regulators could verify that an institution complies with regulatory requirements, while other market participants cannot see the institution's complete holdings or liquidation points. This is the privacy layer Wall Street truly wants—not "complete anonymity," but "meeting compliance requirements without disclosing business secrets."

Second Challenge: KYC, Sanctions Screening, and Auditing Must Be Embedded in the Protocol Itself

Another red line for institutions is: compliance is not an afterthought patch, but natively built-in. In traditional finance, KYC, sanctions screening, and audit requirements are already embedded in settlement systems and trading processes. But in many DeFi protocols, these checks still remain at the "front-end gateway" or rely on "intermediary institutions," rather than being written directly into the protocol logic.

What institutions expect is: KYC and sanctions screening are no longer just about "users uploading ID documents, followed by pure trust," but rather a module or middleware that can verify identity and sanctions lists on-chain without exposing complete data; and audit and regulatory requirements can also be directly written as "verifiable rules," e.g., a transaction must execute only under certain compliance conditions, or an address's exposure must not exceed a certain limit.

The IOSCO, in its November 2025 report "Tokenization of Financial Assets," explicitly emphasized the need to establish "verifiable compliance rules" and "transparent but controlled audit trails" on DLT (Distributed Ledger Technology). Some institutional DeFi platforms have begun experimenting with "compliance modules," embedding KYC, AML, sanctions screening, and regulatory reporting directly into the protocol layer, rather than relying on external tools or post-hoc patches.

Conclusion: What Kind of DeFi Does Wall Street Want?

Returning to the initial question, what kind of DeFi does Wall Street want? First, a more advanced asset clearing and servicing system that can seamlessly integrate with global compliance infrastructure, building an institutional-grade moat. Second, in terms of yield structure, the ability to precisely replicate the traditional fixed income market's logic of yield decomposition and hedging, achieving risk modularization. Third, in terms of compliance and security, using zero-knowledge proofs to embed "verifiable compliance" and "programmatic risk control" into the protocol's foundation, achieving a balance between privacy and regulation.

Replacing traditional finance has never been an option for Wall Street. Instead, it's about having an additional parallel world where capital, risk, and returns can be reassembled more flexibly in a programmable way.

Related Questions

QWhat is the key factor that DWF Ventures believes is crucial for unlocking the institutional market in DeFi, according to the article?

ADWF Ventures believes the key to unlocking the institutional market is not the digitization of assets, but the financialization of yield.

QWhat does the data from DappRadar indicate about the recent surge in DeFi's Total Value Locked (TVL)?

ADappRadar data shows that the recent surge in DeFi TVL, which rose from about $115 billion to over $237 billion, was driven by 'high-value, low-frequency' institutional capital, not retail speculators, as the number of active wallets decreased by 22% in the same period.

QHow does the article describe the role of protocols like Pendle Finance in addressing institutional needs?

AProtocols like Pendle Finance implement a 'yield tokenization' framework, splitting yield assets into Principal Tokens (PT) and Yield Tokens (YT). This allows for the modularization of yield structures, enabling institutions to directly hedge interest rate risk on-chain by trading these tokens, which improves capital efficiency and fits into traditional asset allocation models.

QWhat are the two main obstacles preventing large-scale institutional inflow into DeFi, as outlined in the article?

AThe two main obstacles are privacy and compliance. Specifically: 1) The transparency of public blockchains exposes institutional trading strategies and liquidation points. 2) The need for KYC, sanctions screening, and auditing to be natively embedded into the protocol logic itself, not just handled at the front-end or by intermediaries.

QAccording to the article's conclusion, what does Wall Street ultimately want from DeFi?

AWall Street wants a DeFi that is a more advanced asset clearing and servicing system that can seamlessly integrate with global compliance infrastructure. It also seeks a yield architecture that can replicate the interest rate decomposition and hedging logic of traditional fixed-income markets for modular risk, and it requires embedded 'verifiable compliance' and 'programmatic risk control' at the protocol level using technologies like zero-knowledge proofs to balance privacy and regulation.

Related Reads

Trend in US Stocks: A Post Triggers a 930-Point Rebound, Tonight Belongs to SpaceX

On Thursday (June 11, U.S. Eastern Time), Wall Street staged a textbook V-shaped reversal. The Dow Jones surged 929.97 points (+1.86%) to close above 50,000, while the Nasdaq and S&P 500 rose 2.54% and 1.75%, respectively. The rally occurred despite the hottest PPI report in years, with May data showing a 6.5% year-on-year surge, the highest since 2022. The market ignored the inflation data, focusing instead on reports that former President Trump called off a planned strike on Iran, hinting at a potential multi-party peace agreement draft. This sparked a sharp drop in oil prices, fueling hopes that inflation may have peaked. Sector rotations were stark: previously battered AI hardware and cyclical stocks led the gains, while defensive sectors that hit record highs the prior day were sold off. Chip stocks like Micron and Intel saw sharp rebounds. In contrast, software giant Oracle plunged nearly 10% despite beating earnings, with concerns over cloud revenue and cash flow. Adobe also fell after hours despite raising guidance, as its CFO announced departure. The rally's sustainability is questioned, driven largely by social media posts about unconfirmed geopolitical developments. Inflation risks remain, with pipeline pressures still high. Meanwhile, the market's risk appetite faces a major test with SpaceX's historic IPO. Priced at $135 per share, it aims to raise ~$75 billion with a $1.75 trillion valuation, becoming the largest U.S. IPO ever. It will join the Nasdaq 100 in 15 days, triggering massive index fund buying. However, critics cite extreme valuation (88x sales) and market liquidity concerns.

marsbit8m ago

Trend in US Stocks: A Post Triggers a 930-Point Rebound, Tonight Belongs to SpaceX

marsbit8m ago

The Trillion-Dollar Valuation Test: Are the Three Super IPOs a Tech Stock Frenzy or a Crypto Market Nightmare?

Trillion-Dollar Valuation Test: Are the Three Mega IPOs a Tech Stock Frenzy or a Crypto Market Nightmare? The capital market in 2026 is witnessing a highly anticipated wave of tech IPOs, centered on SpaceX, OpenAI, and Anthropic. Collectively valued at over $3.5 trillion, their potential listing represents one of the largest such waves in recent years. This raises concerns about market liquidity, valuation bubbles, and potential capital outflows from other assets like crypto. SpaceX's valuation narrative has shifted from rocket launches to becoming a global infrastructure play via its Starlink satellite network, which now drives most revenue. Despite ongoing losses, investors focus on its long-term growth potential. OpenAI and Anthropic represent the core productivity engines of generative AI. Their public listings would offer the first direct investment opportunity in large foundation model companies, potentially triggering a repricing within the AI sector. Market fears of a massive "capital drain" from these IPOs are likely overstated. Historical precedents like Alibaba and Saudi Aramco show that mega-listings primarily cause capital reallocation, not destruction, within the vast equities market. Systemic risk is rarely triggered by IPOs alone. For stock markets, short-term volatility and sector repricing are expected, especially for AI concept stocks. Long-term, these listings could reinforce the tech sector's importance. For crypto, direct competition for speculative capital exists, particularly affecting AI-themed tokens. However, crypto's trajectory remains more tied to its own cycles, macro liquidity, and Bitcoin ETF flows rather than a single IPO event. The real risk lies not in the listings themselves but in the sky-high growth expectations embedded in these valuations. If future revenue, profitability, or commercialization progress disappoints, significant valuation resets could follow, impacting high-growth tech stocks. Ultimately, the market's direction hinges on macroeconomic conditions and whether these companies can deliver on their ambitious promises.

链捕手24m ago

The Trillion-Dollar Valuation Test: Are the Three Super IPOs a Tech Stock Frenzy or a Crypto Market Nightmare?

链捕手24m ago

Trillion-Dollar Valuation Test: Are the Three Super IPOs a Tech Stock Frenzy or a Crypto Market Nightmare?

Title: Trillion-Dollar Valuations at Stake: Super IPOs of SpaceX, OpenAI, Anthropic – Tech Boom or Crypto Nightmare? TL;DR: A wave of mega-tech IPOs is approaching, featuring SpaceX (targeting a $1.75 trillion valuation), OpenAI (~$852B), and Anthropic (~$965B), with a combined potential valuation exceeding $3.5 trillion. This tests the market's pricing of innovation and sparks debate on liquidity impact. * **SpaceX**'s valuation is now driven more by its Starlink global communications infrastructure than its core rocket business. * **OpenAI & Anthropic** offer the first major public investment opportunities in foundational AI models, potentially repricing the entire AI sector. * Concerns about a market-wide "liquidity drain" are likely overblown; history shows large IPOs mainly cause fund reallocation, not disappearance, and rarely trigger systemic risk. * Crypto markets, especially some AI-themed tokens, may face short-term fund competition, but their long-term trajectory depends more on macro liquidity, regulation, and Bitcoin cycles. * The real risk lies not in the IPOs themselves, but in whether these companies can justify their sky-high valuations with future revenue growth and profitability. Unmet expectations could lead to significant repricing pressure. Ultimately, these IPOs represent a massive market pricing of next-gen tech infrastructure, not a prelude to a market crash. The broader market direction will be determined by macro conditions, corporate earnings, and risk appetite.

marsbit24m ago

Trillion-Dollar Valuation Test: Are the Three Super IPOs a Tech Stock Frenzy or a Crypto Market Nightmare?

marsbit24m ago

Anthropic Apologized, But the Business of 'Safety' Hasn't Stopped

On June 11, Anthropic apologized not for a model failure, but for a lack of transparency. Its new Claude Fable 5 model was found to be secretly rerouting requests from users engaged in advanced AI model development to a weaker version, Opus 4.8, without any notification. The company's response—promising future notifications for such "downgrades"—was met with user skepticism. The article argues the core issue isn't technical but commercial: Anthropic's "safety" measures are primarily a business strategy. A key feature, the "intelligent safety classifier," marketed as user protection, is described as a tool for "competitive defense" to protect Anthropic's market lead by limiting rivals' research capabilities. This covert mechanism was designed for low "false positives," precisely targeting AI researchers. Anthropic's model involves a calculated three-step process: publishing alarming security research to amplify public anxiety, offering its Fable 5 model with a "safety classifier" as a premium-priced solution, and cashing in through a planned high-value IPO. This contrasts with OpenAI's more direct "tool-and-traffic" approach. The apology, merely changing a secret downgrade to a visible one, is seen as a business "patch" rather than a principled shift. The incident risks damaging Anthropic's "safest AI" reputation among the developer community, which underpins its valuation and appeal to government and corporate clients. Ultimately, the article concludes that for Anthropic, safety is a business, and the apology is merely customer service for that business.

marsbit1h ago

Anthropic Apologized, But the Business of 'Safety' Hasn't Stopped

marsbit1h ago

Trading

Spot
Futures
活动图片