Coinbase is expanding its crypto-backed lending product in the U.S. to include XRP, DOGE$0.1017, Cardano’s ADA and LTC$53.44, widening access to a service it has pitched as a way for customers to unlock liquidity without selling their holdings.

The product allows users to post crypto as collateral and borrow up to $100,000 in Circle’s USDC stablecoin. The loans are routed through Morpho, a decentralized lending protocol, meaning the borrowing mechanics are handled on-chain rather than through Coinbase’s own balance sheet.

The service is available across the U.S., excluding New York.

The move brings some of crypto’s most retail-heavy tokens into a product that previously focused on bitcoin and ether. While Ethereum and Cardano holders can already earn yield through staking on their native networks, assets like XRP, DOGE and Litecoin do not offer built-in reward mechanisms.

For those investors, borrowing against their holdings has become one of the few ways to access liquidity without exiting the position.

Coinbase is also expanding the potential pool of collateral on its platform. The exchange reported it held $17.2 billion worth of XRP as of Dec. 31, according to an SEC filing, making the token one of the larger assets sitting in customer accounts.

Crypto-backed loans have long been marketed as a tax-efficient strategy, since borrowing against an asset does not trigger capital gains in the same way selling does.

But the structure comes with sharp risks when markets move quickly. If the value of the collateral falls too far relative to the loan, the position can be liquidated, meaning a third party can repay the debt and seize the collateral at a discount.

Coinbase applies an extra buffer when users take out a loan to reduce liquidation risk and sends notifications as the threshold is approached. Still, the exchange has also warned that collateral used through the product is wrapped, a process that allows tokens like XRP to exist on Ethereum-compatible networks.

Bitcoin is finding space to bounce, but not yet the fuel to run.

The macro backdrop has improved just enough to give bulls something to work with. Cooling headline inflation has strengthened expectations for three rate cuts this year, reviving the familiar playbook in which easier monetary policy supports risk assets.

And it could signal the possibility of liquidity slowly returning after months of tight financial conditions for crypto markets.

But caution against reading too much into that shift. The Federal Reserve is unlikely to embark on an aggressive easing cycle. Instead, it appears set for a measured approach that rebuilds liquidity gradually. That creates an environment where bitcoin can stage tactical rallies yet struggle to hold them.

Bitfinex analysts describe the market as one prone to moves in waves rather than clean breakouts.

“In this environment, volatility remains likely,” the firm said in a note shared with CoinDesk. “Tactical upside moves can occur when positioning becomes overly defensive, but a durable structural advance will require clearer confirmation from both macro disinflation trends and sustained spot demand.”

Spot recoveries continue to meet steady selling. Each bounce is absorbed more smoothly than earlier in the quarter, suggesting some stabilization.

The overnight tape is a good example. Bitcoin traded as high as $68,500 before rolling over during the U.S. afternoon and sliding under $66,000, a move that lined up with a stronger dollar and hawkish Fed minutes. That kind of intraday reversal is the market’s way of saying rallies are still fragile, and that traders are quick to sell the moment macro conditions turn even slightly less friendly.

“It is alarming that Bitcoin’s dynamics mirror the recent strengthening of the dollar. When investors become convinced that the rise of the dollar is a trend, there may be a sharp increase in volatility,” Alex Kuptsikevich, the FxPro chief market analyst, said in an email.”

“Volatility seems to have been turned off in this market, while stock indices are much livelier. There, investors are actively buying up dips, relying on support in the form of important moving averages: 50-day for the Dow Jones and Russell 2000 and 200-day for the Nasdaq100. The crypto market is now below its 50- and 200-day curves by 17% and 31%, respectively,” he added.

Sentiment remains fragile, meanwhile, as a crypto fear gauge has printed single digits on nine of the past fourteen days, territory rarely seen outside prior cycle lows.

At the same time, stablecoin outflows from major exchanges point to tighter liquidity, and long-term holders have shown signs of stress comparable to late bear-market phases in 2022, according to Glassnode.

For now, bitcoin appears caught between improving macro optics and stubborn supply. Tactical upside remains possible, especially when positioning leans too defensive.

A durable advance, however, likely requires clearer evidence of disinflation, a softer dollar and consistent spot demand. Until then, the path higher may be uneven.

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What to watch next

• Updates on Day 1 and Day 2 sessions and key speakers.
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Disclosure: The content below is a press release provided by the company/PR representative. It is published for informational purposes.

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Global Games Show Riyadh 2026 Riyadh edition is poised to become the ultimate destination for gaming enthusiasts, developers, and investors alike. Organized by VAP Group and powered by the Times of Games, the event promises a vibrant lineup of discussions and engaging experiences that symbolize the rapidly changing gaming sphere.

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Media enquiries :

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Moonwell’s lending pools racked up about $1.78M in bad debt after a cbETH oracle mispriced the token at nearly $1 instead of around $2.2k, enabling bots and liquidators to drain collateral within hours of a misconfigured Chainlink-based update reportedly using AI-generated logic.

Decentralized finance lending protocol Moonwell suffered a $1.78 million exploit due to a pricing oracle bug that misvalued Coinbase-wrapped ETH (cbETH), according to reports from the platform.

The vulnerability originated in oracle calculation logic reportedly generated by the AI model Claude Opus 4.6, which introduced an incorrect scaling factor in the asset price feed, according to the protocol’s disclosure. Attackers borrowed against severely underpriced collateral, extracting funds before the error was detected and corrected.

The cbETH mispricing effectively collapsed the collateral requirement for borrowing within affected pools. Because lending systems rely on accurate collateral ratios, the incorrect price allowed attackers to extract assets with minimal backing value, according to the protocol’s technical analysis.

Price oracles represent critical security components in DeFi lending systems. Incorrect asset valuation can enable under-collateralized borrowing or liquidation failures. Many major DeFi exploits have historically involved oracle manipulation or pricing errors rather than core protocol flaws, according to industry security reports.

The Moonwell incident differs from traditional oracle exploits in that the faulty logic appears linked to automated AI code generation rather than malicious oracle data feeds, according to the protocol’s preliminary investigation.

The exploit highlights risks associated with AI-assisted smart-contract development in financial applications. Language models can accelerate coding workflows, but financial protocols require precise numerical correctness, unit handling and edge-case validation, according to blockchain security experts.

In DeFi systems, small arithmetic or scaling mistakes can translate into systemic vulnerabilities affecting collateral valuation and solvency. The incident raises questions about whether AI-generated contract components may require stricter auditing standards than manually written code, according to security researchers.

AI-assisted development is increasingly used across Web3 engineering workflows, from contract templates to integration logic. Security models and audit frameworks have not yet fully adapted to AI-generated contract code, according to industry observers.

The broader implications center on how automated code generation errors in financial logic represent a new category of DeFi risk. Oracle math, scaling factors and unit conversions remain high-precision domains where automation failures can propagate into protocol-level vulnerabilities, according to technical analysis of the incident.

As AI-assisted smart-contract development expands, audit methodologies will likely need to evolve toward verifying not only code correctness but generation provenance and numerical invariants, according to blockchain security firms.

Three researchers at the US Federal Reserve argue that prediction market Kalshi can better measure macroeconomic expectations in real time than existing solutions and thus should be incorporated into the Fed’s decision-making process.

The “Kalshi and the Rise of Macro Markets” paper was released on Feb. 12 by Federal Reserve Board principal economist Anthony Diercks, Federal Reserve research assistant Jared Dean Katz and Johns Hopkins research associate Jonathan Wright.

Kalshi data was compared with traditional surveys and market-implied forecasts to examine how beliefs about future economic outcomes change in response to macroeconomic news and statements from policymakers.

“Managing expectations is central to modern macroeconomic policy. Yet the tools that are often relied upon—surveys and financial derivatives—have many drawbacks,” the researchers said, adding that Kalshi can capture the market’s “beliefs directly and in real time.”

“Kalshi markets provide a high-frequency, continuously updated, distributionally rich benchmark that is valuable to both researchers and policymakers.”

Kalshi traders can bet on a range of markets tied to the Federal Reserve’s decision-making, including consumer price index inflation and payroll, in addition to other macroeconomic outcomes such as gross domestic product growth and gas prices.

The Fed researchers said Kalshi data should be used to provide a risk-neutral probability density function, which shows all possible outcomes of Fed interest rate decisions and how likely each one is. 

“Overall, we argue that Kalshi should be used to provide risk-neutral [probability density functions] concerning FOMC decisions at specific meetings” arguing that the current benchmark is “too far removed from the monetary policy interest rate decision.”

However, Fed research papers are only “preliminary materials circulated to stimulate discussion” and do not impact the central bank’s decision-making.