Robinhood Chain nears $1B TVL as Uniswap drives liquidity: Standard Chartered

cointelegraphОпубліковано о 2026-08-13Востаннє оновлено о 2026-08-13

Анотація

Standard Chartered reports that Robinhood Chain is nearing $1 billion in total value locked (TVL), achieving rapid growth largely driven by its partnership with Uniswap. Uniswap's V2, V3, and V4 protocols are meeting virtually all of Robinhood Chain's liquidity needs, allowing the new blockchain to leverage established DeFi infrastructure without building from scratch. This arrangement is also significantly impacting Uniswap's tokenomics, with fees generated through Robinhood now being the largest source of UNI token burns, doubling the burn rate since late July. Launched on July 1 with a focus on real-world assets, Robinhood Chain is part of the brokerage's broader expansion into crypto, tokenization, and prediction markets, a strategy identified by analysts as a key growth driver despite mixed trends in its overall crypto trading volumes.

Robinhood’s partnership with Uniswap is helping the brokerage rapidly build liquidity on its new blockchain, potentially removing a key obstacle to attracting users and assets, according to Standard Chartered.

In a recent note, Standard Chartered analyst Geoffrey Kendrick said Robinhood Chain has grown to nearly $1 billion in total value locked (TVL), which he described as the fastest growth of any blockchain by that measure. Virtually all of Robinhood Chain’s liquidity needs are being met through Uniswap V2, V3 and V4, Kendrick said.

The arrangement gives Robinhood access to established decentralized finance infrastructure as it scales its blockchain, potentially strengthening its ability to attract users without having to build liquidity from scratch.

The partnership is also having a significant impact on Uniswap’s token economics. According to Standard Chartered, protocol fees generated through Robinhood are now the largest source of UNI token burns.

The UNI burn rate has roughly doubled since a Robinhood-linked fee switch was activated on July 27, reaching an annualized pace of about $90 million. At UNI’s current price of roughly $3.50 apiece, that would translate to 25 million UNI tokens, or just over 4% of the circulating supply, being burned annually.

Robinhood Chain’s liquidity sources. Source: Standard Chartered

Robinhood Chain launched on July 1 with a focus on bringing real-world assets onchain. Adoption accelerated quickly after launch, reaching 194,000 daily active users during its first week.

Related: Robinhood Chain sees over $70M in ETH bridged during first week

Robinhood’s crypto push expands into tokenization and prediction markets

Robinhood Chain is part of the brokerage’s broader push beyond traditional stock trading, with the company expanding into crypto, prediction markets and tokenization. The strategy has drawn attention from Wall Street, with analysts at Bernstein raising their price target for Robinhood (HOOD) stock to $160 per share and identifying tokenization and prediction markets as key growth drivers.

HOOD shares were up more than 4% on Thursday, extending six-month gains to almost 30%. Source: Yahoo Finance.

The expansion has coincided with mixed trends across Robinhood’s crypto business. The company reported record revenue and earnings in the second quarter, even as crypto trading volumes and revenues declined.

Related: Robinhood in talks with Crypto.com over prediction markets: WSJ

Пов'язані питання

QWhat key partnership is helping Robinhood Chain build liquidity rapidly according to Standard Chartered?

ARobinhood's partnership with Uniswap is helping the brokerage rapidly build liquidity on its new blockchain, providing access to established decentralized finance infrastructure.

QWhat is the current Total Value Locked (TVL) of Robinhood Chain and how does its growth compare?

ARobinhood Chain has grown to nearly $1 billion in Total Value Locked (TVL), which Standard Chartered analyst Geoffrey Kendrick described as the fastest growth of any blockchain by that measure.

QHow is the Robinhood Chain partnership affecting Uniswap's UNI token economics?

AProtocol fees generated through Robinhood are now the largest source of UNI token burns. The UNI burn rate has roughly doubled since the Robinhood-linked fee switch was activated, reaching an annualized pace of about $90 million.

QWhat is the primary focus of Robinhood Chain that launched on July 1st?

ARobinhood Chain launched on July 1st with a focus on bringing real-world assets onchain.

QWhat broader strategic expansion does Robinhood Chain represent for the company, and what did Bernstein analysts identify as key growth drivers?

ARobinhood Chain is part of the brokerage's broader push beyond traditional stock trading into crypto, prediction markets, and tokenization. Bernstein analysts identified tokenization and prediction markets as key growth drivers for Robinhood.

Пов'язані матеріали

US Nonfarm Payrolls Unexpectedly Strong, Probability of September Rate Hike Rises to About 60%, Market Eyes Next Week's CPI

U.S. August non-farm payrolls came in significantly stronger than expected, adding 162k jobs—nearly triple economists' forecasts. This robust employment data signals ongoing economic resilience and has sharply increased market expectations for a Federal Reserve rate hike at the September meeting, with fed funds futures now pricing in roughly a 60% probability of an increase. The data prompted immediate market adjustments: U.S. equities closed lower on Friday, and Treasury yields climbed, with the policy-sensitive 2-year yield rising to its highest level since January 2025. However, broader market impact remained contained for now, as major stock indexes still posted weekly gains and credit spreads stayed relatively low. Analysts note that despite higher rates, financial conditions remain accommodative, corporate earnings are strong, and the AI investment boom—evident in job gains in sectors like construction and manufacturing—is providing economic support. While the non-farm payrolls report tilts the policy debate toward a more hawkish stance, it does not conclusively determine the Fed's next move. Market focus is now firmly shifting to the upcoming Consumer Price Index (CPI) report. Analysts warn that if inflation data remains elevated and further pushes up rate expectations, it could force investors to more aggressively reduce risk exposure, potentially increasing market volatility. The CPI release, alongside political considerations around the midterm elections, is seen as the next critical variable for the Fed's decision.

marsbit11 хв тому

US Nonfarm Payrolls Unexpectedly Strong, Probability of September Rate Hike Rises to About 60%, Market Eyes Next Week's CPI

marsbit11 хв тому

The Era of Large Model Distillation is Over: Fable 5.1 Rewrites API, Cutting Off the Path of Distillation for Good

The era of large model distillation is ending. On September 2nd, Anthropic delivered a decisive blow by updating its API rules with Claude Fable 5.1, effectively cutting off the path for shell models and distillers. Previously, companies bypassed immense compute costs and lengthy training times by using API calls to extract the reasoning process of top-tier models like Claude, then using this data to train their own smaller "distilled" models. A key vulnerability was the "thinking blocks"—the model's internal Chain-of-Thought reasoning steps returned via API. Distillers exploited this by modifying the surrounding context (like system prompts or earlier messages) in multi-turn conversations, tricking Claude into revealing its hidden underlying logic. Fable 5.1 introduces a stringent "context consistency verification" mechanism. The API now strictly validates that the "thinking blocks" sent back by the client match the original system prompts, tools, and message history that produced them. Any modification causes the API to return an error. A "non-strict mode" is offered for legitimate developers who need to modify context (e.g., for compression), but it silently deletes all thinking blocks, forcing the model to answer without its prior reasoning. This crackdown was deemed necessary due to industrial-scale abuse. "Distillation hackers" used thousands of fake accounts and automated scripts to exploit the API, extracting high-intelligence reasoning capabilities while completely bypassing the costly safety and alignment training (like RLHF) built into models like Claude. This created a critical risk: "capability-safety decoupling," where distilled models gain advanced abilities but lack the ethical guardrails, potentially making them dangerous. The new rules are being rolled out in phases, initially targeting new API accounts created after August 31, 2026, UTC. Existing API accounts and consumer users (e.g., Claude.ai) are unaffected for now, giving legitimate developers time to adapt. Anthropic states the "thinking retention" mechanism will eventually apply to all accounts. An unexpected benefit for compliant developers is potential cost reduction and speed improvements. Enforcing context consistency allows for highly efficient prompt caching on API servers, slashing latency and compute overhead. This move marks a watershed for the AI industry, challenging the narrative of small models outperforming large ones through distillation and forcing a reckoning on innovation versus imitation.

marsbit38 хв тому

The Era of Large Model Distillation is Over: Fable 5.1 Rewrites API, Cutting Off the Path of Distillation for Good

marsbit38 хв тому

South Korea Announces Securities Tokenization Timeline: First Batch of Tokenized Assets to Include Bonds, Funds, and Unlisted Stocks

South Korea's Financial Services Commission (FSC) has unveiled a three-phase roadmap for tokenizing securities, positioning itself as a potential first-mover with dedicated legislation. Following the formal enactment of amended laws in February 2027, Phase 1 will begin with tokenized private market assets, including bonds, institutional money market funds, and unlisted stocks (via trust beneficiary certificates). Existing licensed securities firms can operate without new permits, with specific rules for non-financial platform operators and investor limits. Phase 2 will expand to publicly issued securities, contingent on the stability of initial systems and market readiness. The final Phase 3 aims to enable on-chain settlement using stablecoins, pending separate stablecoin legislation. The announcement contrasts sharply with rapid, decentralized approaches like Robinhood's recent tokenization of stocks, which sparked controversy. South Korea's path prioritizes legal clarity and infrastructure, starting with controlled, institutional markets before broadening access. While this methodical approach may sacrifice speed, it seeks to establish a clear regulatory foundation. The global race for tokenization is highlighting divergent strategies between regulated, incremental models and faster, more open but less certain alternatives.

marsbit41 хв тому

South Korea Announces Securities Tokenization Timeline: First Batch of Tokenized Assets to Include Bonds, Funds, and Unlisted Stocks

marsbit41 хв тому

Just Now, Claude Proves Fermat's Last Theorem for the First Time, Led by Tsinghua Yao Class Prodigy

In a groundbreaking development, Claude has autonomously generated the first machine-verified proof of Fermat's Last Theorem in just 11 days. The project was led by Tianyi Peng, a researcher from Anthropic with a background from Tsinghua University's prestigious Yao Class. This achievement required Claude to write 13 million lines of Lean code, proving over 29,500 intermediate theorems and consuming 60 billion tokens—a volume exceeding the largest existing mathematical theorem library by fivefold. The process involved formalizing the 350-year-old theorem, which states that no three positive integers a, b, c satisfy a^n + b^n = c^n for any integer n > 2. While Andrew Wiles provided a human proof in 1995, its complexity made verification a years-long task for experts. Claude's formal proof builds from foundational axioms, autonomously constructing the entire logical chain and verifying it through the Lean compiler. Key to the success was the development of the "Prove2Me" platform, which managed dozens of Claude agents by organizing tasks into a theorem DAG (directed acyclic graph), separating statements from proofs, and maintaining natural language indexes. This addressed early collaboration inefficiencies and "hallucination" issues. The result is the largest Lean proof ever created. The accomplishment has stirred significant discussion in the mathematical community, highlighting AI's potential to automate the formalization and verification of complex proofs. While not replacing mathematicians, such technology could fundamentally change mathematical practice by providing absolute verification, checking human-generated mathematics, and enabling broader access to formal verification tools.

marsbit41 хв тому

Just Now, Claude Proves Fermat's Last Theorem for the First Time, Led by Tsinghua Yao Class Prodigy

marsbit41 хв тому

Raoul Pal: Why Has the Traditional Investment Portfolio Become Obsolete?

Raoul Pal argues that traditional investment portfolios (bonds, gold, real estate, index funds) are no longer effective for building real wealth. He posits that due to persistent currency devaluation from money printing (global liquidity expanding ~8% annually plus regular inflation), an investor needs an 11% annual return just to preserve purchasing power. He evaluates traditional assets: bonds fail as interest doesn't cover currency devaluation; real estate's historic wealth-creation window from falling rates is over; gold preserves purchasing power but doesn't create new wealth; and the S&P 500 barely meets the 11% threshold, relying on a historic bull market. The only assets consistently exceeding this benchmark, based on decade-long data, are technology stocks (NASDAQ 100: ~20% annualized) and crypto assets (Bitcoin: 58-70% annualized). Their outperformance stems from user adoption S-curves (Metcalfe's Law), not speculation. Pal explains that post-2008, traditional diversification lost its protective power because bonds, gold, real estate, and stocks are all now primarily driven by the same macro factor: liquidity. Thus, a diversified portfolio of underperforming assets offers false security. For crypto, he favors underlying protocols/L1 blockchains over applications, as they capture value from the entire ecosystem. A key, underappreciated future driver is AI agents, which will require programmable money and 24/7 settlement, a natural fit for blockchain. Key investment principles include: avoid leverage (it removes the ability to weather severe drawdowns), allocate a meaningful portion (not all) of capital to high-growth assets, and practice patience—"doing nothing" is a valid long-term strategy. The core opportunity cost is freedom. Returns below 11% annually mean your labor buys less freedom over time. The goal is to use this framework to audit your holdings, moving capital from assets that erode purchasing power to those with genuine compounding potential.

marsbit1 год тому

Raoul Pal: Why Has the Traditional Investment Portfolio Become Obsolete?

marsbit1 год тому

Торгівля

Спот
活动图片