Flash loans let anyone borrow tens of millions of dollars with no collateral, no credit check, and no identity, on one condition: the loan must be repaid within the same transaction that created it. This guide explains how that is even possible, what flash loans are legitimately used for, how attackers weaponize them, and why the strangest loan in finance is also one of its most honest.

Imagine walking into a bank and asking to borrow $50 million. You have no collateral, no credit history, and you decline to give your name. In traditional finance the conversation ends there. In decentralized finance, the loan is approved instantly, at a fee of a few basis points, by a lending pool that has never heard of you and never will. The only condition is the strange one: you must pay the entire loan back before you leave the building, and if you cannot, it will be as if you never entered at all.

That is a flash loan, and it is one of the few financial primitives that genuinely could not exist before blockchains. Flash loans have funded some of the most elegant arbitrage trades in crypto and some of its most devastating exploits, including attacks that drained protocols of tens or hundreds of millions of dollars in a single block. They are cited in nearly every post-mortem of a DeFi disaster, which has given them a sinister reputation, and they are also used thousands of times a day for entirely mundane purposes that make markets more efficient.

This guide explains flash loans from the ground up: the property of blockchains that makes an uncollateralized loan safe for the lender, the mechanics of a flash loan transaction step by step, the four legitimate jobs flash loans do, a worked example of how an attack actually uses one, why the loan itself is almost never the vulnerability, what they cost and where they live, and the honest debate about whether DeFi would be better off without them.

The trick that makes it possible: atomicity

Everything about flash loans follows from one property of blockchain transactions called atomicity. A transaction on a network like Ethereum is all-or-nothing: either every operation inside it completes successfully, or the entire transaction fails and the chain’s state reverts to what it was before, as if the transaction had never been attempted. There is no such thing as a half-finished transaction. The word comes from the Greek atomos, indivisible, and it is the same guarantee that prevents a token transfer from debiting your wallet without crediting the recipient’s.

Now consider what atomicity does for a lender. In ordinary finance, a lender demands collateral because of time: between the moment money leaves the lender and the moment it returns, days or years pass in which the borrower can default, disappear, or go bankrupt. Collateral is a hostage against that passage of time. But what if the loan and its repayment happened inside a single atomic transaction? Then there is no passage of time in which anything can go wrong. The lending contract checks, at the end of the transaction, whether the borrowed amount plus fee has been returned. If it has, the transaction completes and everything inside it becomes permanent. If it has not, the entire transaction reverts, including the original lending step, and the pool’s money never actually left. The lender is not trusting the borrower; it is trusting mathematics. Default is not forbidden; it is impossible, because a defaulted flash loan is a transaction that never happened.

This is why flash loans need no collateral, no credit check, and no identity. All the machinery banks use to manage repayment risk exists because repayment is uncertain, and atomicity deletes the uncertainty. The trade-off is equally absolute: a flash loan cannot outlive its transaction. You cannot borrow via flash loan to buy something and repay next week. Whatever you intend to do with the money, borrowing it, using it, and repaying it, must all fit inside one transaction, which on Ethereum means inside roughly twelve seconds of block time and, more precisely, inside a single bundle of code execution.

Anatomy of a flash loan, step by step

A flash loan transaction is a small program the borrower writes and submits, and its skeleton is always the same five steps.

Step one, the request: the borrower’s smart contract calls a lending protocol, such as Aave, and requests a loan, say 10 million USDC. Step two, the transfer: the protocol sends the full amount to the borrower’s contract, optimistically, before any repayment. Step three, the payload: the borrower’s contract does whatever it came to do with the money, and this is the only step that varies; it might buy a token on one exchange and sell it on another, repay a loan on a second protocol, or swap collateral. Step four, the repayment: the borrower’s contract returns the 10 million USDC plus the fee, on Aave about 0.05%, so $5,000 on this loan, to the lending pool. Step five, the check: the protocol verifies the repayment landed; if yes, the transaction finalizes and the borrower keeps whatever profit the payload generated; if no, everything reverts and the borrower has lost only the network gas fee for the failed attempt.

Notice what the borrower risked: gas, typically a few dollars to a few hundred depending on complexity and congestion. Notice what the lender risked: nothing, by construction. And notice the skill that actually matters: writing the payload. Flash loans are permissionless, but they are not point-and-click for most purposes; using one means deploying a contract that orchestrates every step, which is why their users are overwhelmingly bots, developers, and MEV searchers, not casual traders, and why several services now sell no-code flash-loan tooling of wildly varying quality.

What flash loans are actually for

Four legitimate jobs account for the vast majority of flash-loan volume, and each exists because DeFi is a fragmented landscape of pools and protocols whose prices and terms drift apart.

The first is arbitrage. If ETH trades at $1,780 on one decentralized exchange and $1,790 on another, anyone who can buy on the first and sell on the second captures the spread, and the profit scales with size. Flash loans remove the capital barrier: a trader with $500 can borrow $5 million, execute both legs, repay, and keep the difference, minus fees and the slippage that large orders inevitably incur. This is the wholesome face of flash loans; arbitrageurs doing this thousands of times daily are the reason prices across DeFi venues stay closely aligned, an alignment everyone else gets for free.

The second is collateral swapping. Suppose you have a loan on a lending protocol backed by ETH and you want the collateral to be staked ETH instead, without closing the position. A flash loan lets you borrow enough to repay the loan, withdraw your ETH collateral, swap it, redeposit the new collateral, reborrow, and repay the flash loan, all atomically, converting a multi-step, risk-exposed process into one indivisible action.

The third is self-liquidation and refinancing. A borrower approaching liquidation can flash-borrow the repayment amount, close their own position, recover their collateral, sell a portion to repay the flash loan, and keep the remainder, escaping the liquidation penalty that a third-party liquidator would otherwise have taken. Similarly, debt can be moved from a protocol charging 8% to one charging 5% in a single transaction.

The fourth is liquidations themselves. The keeper bots that enforce solvency across DeFi lending, repaying underwater borrowers’ debts in exchange for their collateral at a discount, routinely fund those repayments with flash loans, which means the entire liquidation apparatus of decentralized lending runs substantially on borrowed-for-twelve-seconds money. Without flash loans, liquidations would depend on the working capital of a handful of well-funded firms; with them, anyone with a good bot can compete, which makes the system faster and more decentralized at once.

The dark side: how a flash-loan attack actually works

Flash loans became famous for the other thing they do, which is supply attack capital. The crucial point, the one every serious post-mortem makes and every headline obscures, is that the flash loan is almost never the vulnerability. It is the funding. The vulnerability is elsewhere, usually in how a protocol measures prices or counts votes, and the flash loan merely lets an attacker with pocket change exploit a flaw that would otherwise require a whale’s balance sheet.

Walk through the classic price-manipulation pattern. A lending protocol decides how much you can borrow by valuing your collateral, and suppose it values a token by checking the token’s spot price in one decentralized exchange pool. An attacker flash-borrows an enormous amount of one asset, dumps it into that pool, and momentarily distorts the price the protocol reads, making the attacker’s collateral appear far more valuable than it is. Against that inflated collateral, the attacker borrows heavily from the lending protocol, then reverses the pool trade, repays the flash loan, and walks away with the borrowed funds, all in one transaction. The protocol is left holding collateral worth a fraction of the debt against it. The flaw was the naive price oracle; the flash loan just made the flaw affordable to exploit.

The second classic pattern is governance. In 2022, an attacker used a flash loan to momentarily acquire a supermajority of Beanstalk protocol’s governance tokens, voted through a proposal sending the treasury to themselves, and repaid the loan, netting around $76 million from a protocol that allowed same-block voting. The defense, requiring tokens to be held or locked before voting power activates, is now standard, and the episode sits alongside slower-motion treasury raids in the genre of governance attacks this publication has anatomized, where the lesson is identical: if momentary token possession equals power, someone will rent the tokens for one block.

Cumulative losses to flash-loan-assisted exploits run well into the billions across DeFi’s history, with individual incidents ranging from six figures to the hundreds of millions. The defenses that matter are all oracle and logic hygiene: time-weighted average prices instead of spot readings, multiple independent price sources, borrowing caps, same-block action restrictions, and vote-locking. Protocols that do these things are not meaningfully threatened by flash loans; protocols that do not are exploitable by anyone patient enough to read their code, flash loans merely lower the capital requirement from millions to gas money.

A worked example, dollar by dollar

Abstractions hide the arithmetic, so walk through one realistic arbitrage from end to end.

Suppose a mid-cap token trades at $2.00 in a large Uniswap pool and $2.03 in a smaller pool on another venue, a 1.5% gap opened by a burst of one-sided buying. A searcher’s bot spots the spread and assembles a flash-loan transaction. Step one, it borrows 1,000,000 USDC from Aave, incurring a 0.05% fee obligation of $500. Step two, it buys the token in the cheap pool; a purchase that size moves the pool’s price, so the average fill is not $2.00 but roughly $2.006, price impact eating a slice of the edge, and the bot receives about 498,500 tokens. Step three, it sells those tokens into the expensive pool, where its own selling pushes the price down from $2.03, filling at an average around $2.022 for proceeds of roughly $1,008,000. Step four, it repays Aave 1,000,500 USDC. What remains, about $7,500, minus the gas fee, call it $150 for a complex transaction, and minus any priority fee paid to win the block position, perhaps a few thousand in a competitive auction, is profit, banked in twelve seconds with zero capital at risk beyond gas.

Now run the counterfactual that shows why atomicity matters. If, between the bot’s simulation and its execution, another searcher closed the gap first, step three returns less than the repayment requires, the final check fails, and the entire transaction reverts: no tokens bought, no loan outstanding, nothing lost but gas. The bot did not take a risk and lose; it took no risk and paid a small fee to discover that. Multiply this loop by thousands of bots and every venue pair in DeFi, and you have the invisible janitorial service that keeps a fragmented market’s prices coherent, funded entirely by the gaps it closes.

The same arithmetic explains why casual users rarely profit. The gross edge in the example was 1.5%; price impact took roughly a third of it, fees a fixed slice, and the priority auction, where competing bots bid away their expected profit to validators for first execution, takes most of the rest. Flash-loan arbitrage is a real business with real margins, and those margins have been competed down to the point where infrastructure, latency, and auction strategy decide who earns them.

Where flash loans came from

The idea is younger than it feels. The first named implementation arrived in 2018 with the Marble protocol, whose creator described it as a bank for the flash-loan age; Aave popularized the primitive at scale in early 2020, and within weeks the bZx incidents, a pair of exploits in February 2020 that used flash loans to manipulate thin markets for six-figure profits, introduced the wider world to the attack pattern and set the template for hundreds of imitations. The years since have run an arms race in miniature: attackers found protocols reading spot prices or counting same-block votes, protocols adopted time-weighted oracles and vote-locking, attack sizes peaked with nine-figure incidents, and the survivor population grew steadily harder to rob. Along the way the legitimate uses quietly institutionalized, arbitrage desks, liquidation keepers, and treasury managers folding flash loans into ordinary operations, until the primitive that headlines still call a hacking tool became, by volume, mostly plumbing.

Costs, venues, and limits

Flash loans live wherever there are large idle pools and smart contracts to guard them. Aave is the canonical venue, charging 0.05% on flash-loan principal; Uniswap V3 offers the sibling concept of flash swaps from its trading pools; Balancer, dYdX historically, and a range of smaller protocols offer variants with fees from zero to a few basis points. The size limit is simply pool liquidity: you can flash-borrow whatever the pool holds, which on major assets means nine-figure loans are routinely available to anyone. Fees flow to the pools’ liquidity providers, making flash loans a small but real income stream layered on top of the fee-and-risk economics providers already juggle.

The practical constraints are computational and adversarial rather than financial. Everything must fit within a block’s gas limit, complex multi-protocol payloads are expensive to execute and brutal to debug, and a failed transaction still burns its gas. Above all, profitable flash-loan opportunities are the most contested territory in crypto: arbitrage and liquidation payloads compete in the public mempool where sophisticated MEV searchers observe, copy, and front-run them, which is why serious operators submit through private relays and why the naive dream of easy flash-loan riches dies, for most people, on first contact with the competition.

One boundary worth drawing precisely: flash loans are native to single-chain atomicity. The guarantee dissolves across chains, because moving assets between blockchains takes minutes and trust, not one atomic breath, which is why there is no such thing as a cross-chain flash loan and why claims to the contrary should be read as marketing.

A note on nomenclature before the verdict, because two neighbors are often confused with flash loans. A flash swap is the exchange-native sibling: a trading pool sends you tokens first and lets you pay, in either asset, by the end of the transaction, which enables the same atomic patterns from a different venue. A flash mint goes further still, protocols that will create unlimited amounts of their own token for the duration of one transaction, since tokens that must be destroyed before the block closes cost the issuer nothing. All three run on the same atomicity guarantee, differ only in where the temporary liquidity comes from, and collapse into the same rule: whatever exists only inside one transaction is free to create, because it is impossible to steal.

The honest verdict

It is tempting to sort flash loans into good and evil and demand the evil half be banned, and the temptation misunderstands what they are. A flash loan is capital with the time dimension removed, and removing time removes the advantages that capital size normally confers. Whales could always manipulate thin oracles and buy governance outcomes; flash loans democratized the attack, which sounds terrible until you notice it also democratized the defense-testing. Every protocol now ships knowing that any flaw exploitable with money will be exploited by someone with almost none, a brutal but effective form of natural selection that has made surviving DeFi protocols measurably harder targets.

The equilibrium the ecosystem has reached is roughly this: flash loans as infrastructure are permanent, their legitimate uses quietly dominate their volume, their role in attacks is that of an amplifier for flaws that were always fatal, and the security burden sits, correctly, on protocol design rather than on restricting the primitive. For a user, the practical takeaways are smaller: flash loans explain how attackers with no visible wealth drain nine-figure protocols, they are part of why DEX prices track each other so tightly, and if a yield product ever advertises returns powered by flash-loan magic with no legible strategy, the magic is being performed on you.

A final perspective worth keeping: flash loans are the purest expression of what smart contracts changed about finance. Every other DeFi primitive, lending, trading, stablecoins, has a traditional ancestor it improves on; the flash loan has none, because its enabling condition, provable atomicity, does not exist in a world of couriers, clearing days, and courts. That is why traditional finance cannot copy it, why its risks are novel instead of imported, and why understanding it repays the effort even for readers who will never deploy one: it is the clearest available demonstration that programmable settlement does not just speed up old finance but permits transactions that were previously not merely impractical but conceptually impossible. Whatever else DeFi becomes, the flash loan is its signature invention, and knowing how it works is knowing what the technology is actually for.

Disclaimer: This article is for educational purposes only and does not constitute investment advice. Interacting with DeFi protocols carries significant risk, including total loss of funds. Details are current as of July 8, 2026. Always do your own research.

Frequently asked questions

Kalshi is appealing a New York federal judge’s rejection of its bid to block state gambling officials from enforcing local laws against the prediction market platform’s sports-related event contracts. 

In a notice filed on Tuesday in the US District Court for the Southern District of New York (SDNY), Kalshi said it would take the case to the US Court of Appeals for the Second Circuit. The appeal followed a same-day opinion and order denying the platform operator’s motion for a preliminary injunction against officials at the New York State Gaming Commission. 

The appeal escalates a growing legal fight over whether sports prediction markets are federally regulated derivatives or state-regulated gambling products. This question has already split courts across the United States.

Judge Analisa Torres earlier Tuesday rejected that argument at the preliminary injunction stage, finding that New York gambling laws, as applied to Kalshi’s sports-event contracts, were not preempted by the US Commodity Exchange Act. The court said Kalshi had not made a “clear or substantial showing” that it was likely to succeed on the merits.

The order also noted that other jurisdictions have had split opinions on similar requests from Kalshi. Some have granted injunctions against state enforcement, while others have denied the company’s motions.

“Major loss for Kalshi in the nation’s financial capital, with likely knock-on effects in other cases (esp. Connecticut and other SDNY lawsuits),” wrote lawyer Daniel Wallach, whose Florida law firm is devoted principally to sports wagering and gaming law in the US.

Kalshi’s US legal fight widens

Kalshi’s appeal comes as prediction market platforms face mounting pressure from state regulators over their sports event contracts. 

In May, the Commodity Futures Trading Commission (CFTC) backed Kalshi in an Ohio federal appeals court fight after the platform challenged efforts to restrict its prediction market offerings. The CFTC’s filing came after it had sued five states, including Wisconsin, New York, Arizona, Connecticut and Illinois, to assert jurisdiction over prediction markets.

On June 25, Kalshi sued Illinois officials over a state law it said “expressly bans sports event contracts” unless prediction market platforms obtain local licenses. The platform argued that the law usurped the CFTC’s authority over federally regulated derivatives markets. 

Related: Kalshi June trading volume tops $9B as World Cup fuels prediction markets

State regulators have also cracked down on other platforms. In April, Wisconsin sued Robinhood, Coinbase, Polymarket, Crypto.com, as well as Kalshi, over sports event contracts. The state alleged that the platforms facilitated illegal sports betting. 

Nevada regulators have pursued similar actions against prediction market firms, including Kalshi, Coinbase and Polymarket

Magazine: Has Bitcoin bottomed for this cycle? Analysts say ‘not yet’

Pay for the premium tier of any centralized AI platform, and rate limits still hit during peak hours. That’s not a bug. It’s the ceiling every centralized AI platform eventually reaches, because one company’s data centers can only handle so much demand at once, no matter how much money gets thrown at the problem.

Arbitrum, Internet Computer, and Kaspa each tackle a different piece of crypto’s scaling puzzle, yet none were built specifically to solve AI’s compute bottleneck. For anyone tracking the next 100x crypto, that’s the gap Stargate LLM’s Grid is aimed at.

What Happens When One Company’s Servers Aren’t Enough

The problem isn’t unique to any one AI platform. Rate limits during peak hours are the ceiling every centralized system eventually hits, because a single company’s data centers can only absorb so much demand regardless of the price tag attached to the premium tier. Stargate LLM‘s Grid takes a different structural approach: crowdsourcing compute from a distributed network of contributors instead of concentrating it inside one company’s server farms, so capacity grows as more people join rather than staying fixed to one balance sheet.

This is the pitch for power users and businesses who’ve personally hit a rate limit or a slowdown on a paid tier, an experience that’s rarely discussed publicly but genuinely frustrating: paying full price for capacity that isn’t reliably there the moment demand spikes. Stargate LLM’s chat, image generation, video generation, private search, and agent marketplace all sit on top of that distributed compute layer rather than a single data center somewhere.

The presale runs across ten pricing stages, from $0.0005 to $0.0125, on the way to a confirmed $0.025 launch price. Stage 1 carries a 50x ratio to that target, the widest gap in the entire structure. Total supply is fixed at 150 billion tokens. Of that, 96% goes to community, ecosystem, and presale participants, and just 1% sits with the core team.

For anyone genuinely hunting the next 100x crypto, a decentralized compute layer paired with a presale still priced before the wider market has weighed in is a different kind of bet than a token riding purely on speculation.

LG’s Enterprise Bet on Arbitrum Hasn’t Reached the Price Yet

LG Electronics partnered with Arbitrum to build a custom Layer 2 blockchain for automating digital advertising transactions, completing a pilot with a Japanese advertising agency and evaluating a commercial rollout before the end of 2026.LG Electronics partnered with Arbitrum to develop a custom Layer 2 blockchain designed to automate the buying and selling of digital advertising, completing a pilot with a Japanese advertising agency.

That’s a real enterprise validation of Layer 2 technology. ARB trades near $0.08, roughly 97% below its all-time high of $2.40 set in January 2024, and a scheduled token unlock on July 16 will release close to 93 million ARB, adding fresh supply pressure right as the enterprise story is still building momentum.

A Trillion-Dollar Ambition, a $1.2 Billion Reality

Internet Computer positions itself as sovereign, decentralized cloud infrastructure capable of hosting entire applications on-chain, aimed squarely at the trillion-dollar cloud computing market currently dominated by centralized providers.

The Internet Computer is a decentralized cloud blockchain that pursues the $1+ trillion cloud market, hosting apps, websites, and enterprise systems fully onchain. The ambition is genuinely large. The market cap isn’t. ICP trades near $2.14 to $2.18, with a total valuation just over $1.2 billion, sitting roughly 99.7% below its all-time high near $700.

Kaspa Rallied on Real News. Its Own Miners Sold Into the Move.

Kaspa is trading near $0.030, with a market cap around $830 million, after a recent smart contract hard fork and network upgrade triggered a short-term price surge. As of Jul 7, 2026, Kaspa (KAS) is trading at $0.0302 with a market cap of $830.20M, having recently experienced short-term volatility due to a network upgrade and smart contract hard fork.

That surge has since run into resistance, and heavy miner distribution is adding sell pressure right as the technical setup tries to hold its gains.

Final Say

A real enterprise partnership, a trillion-dollar ambition, and a genuine network upgrade, Arbitrum, Internet Computer, and Kaspa each have something legitimate behind this week’s price action, even if none of it has fully shown up in the charts yet.

None of the three was purpose-built to solve AI’s specific compute ceiling, which is exactly what Stargate LLM’s decentralized Grid is aimed at. Stage 1 remains open before the price steps up through nine more stages.

Four different bets on the same underlying question: whose infrastructure is actually built to scale with what comes next.

---

Disclaimer: This is a Press Release provided by a third party who is responsible for the content. Please conduct your own research before taking any action based on the content.

Google has updated its Chrome Web Store rules to prohibit prediction market extensions that facilitate real-money transactions, with enforcement set to begin on Aug. 1, 2026.

According to Google’s latest update to its Developer Program policies, browser extensions that “facilitate or enable real money transactions on predictive outcomes” will no longer be permitted on the Chrome Web Store.

The company said developers have until Aug. 1, 2026, to comply, after which non-compliant extensions could face enforcement action, including removal from the marketplace.

The policy revision comes at a time when prediction market operators are facing growing legal and regulatory pressure in the United States, particularly over sports-related contracts. Platforms including Kalshi and Polymarket have increasingly found themselves at the center of disputes involving state gambling laws and the classification of event-based contracts.

Google has expanded restrictions on prediction market products

Alongside several updates to its Developer Program policies, Google explicitly added prediction market extensions to its list of prohibited products. While the company did not mention any specific platform by name, the revised language directly targets extensions that allow users to conduct real-money transactions tied to future events.

Google said enforcement will begin on Aug. 1, warning that extensions remaining out of compliance after that date may face action through the Chrome Web Store.

The policy change arrives shortly after prediction markets attracted attention outside financial regulation. As crypto.news previously reported, music streaming company Spotify challenged Polymarket and Kalshi after discovering its branding had been used in connection with prediction markets despite no partnership existing between the companies.

Spotify also said it had removed more than 500,000 artificial streams that falsely boosted Malcolm Todd’s song Earrings on its platform. Kalshi later settled a prediction market tied to those manipulated streaming numbers, drawing additional scrutiny to the event contract.

Kalshi continues to face legal challenges in New York

Meanwhile, legal pressure on Kalshi has continued to build in New York after the state secured a court victory in its dispute with the prediction market operator.

Following the ruling, New York Governor Kathy Hochul said, “Gamble with our laws and you’re going to lose. Just ask Kalshi.” Her comments came after New York’s Attorney General accused the company of attempting to bypass state gambling laws, a position that survived Kalshi’s effort to block the case.

As previously reported by crypto.news, Judge Analisa Torres denied Kalshi’s request for a preliminary injunction against New York. The court determined that the state’s gambling laws apply to Kalshi’s sports-related event contracts, allowing New York’s lawsuit to move forward.

State officials have maintained that prediction markets offering sports-based contracts can fall within existing gambling regulations when they operate without state authorization. Hochul added that her administration and the Attorney General would continue pursuing gambling platforms, including prediction markets, that they believe violate New York law.

Regulatory scrutiny has also extended beyond Kalshi. New York has filed legal action against Coinbase and Gemini, alleging that their prediction market offerings function as unlicensed gambling businesses under state law.

Google has not linked its Chrome policy update to any individual enforcement case. However, the timing places the new restrictions alongside mounting legal disputes involving prediction market platforms, leaving developers offering real-money event contract extensions with less than a month to comply before the Aug. 1 enforcement deadline.

Advertisement

Bank of England Governor Andrew Bailey has denied that lobbying or political pressure from Nigel Farage affected the central bank’s thinking on a potential UK central bank digital currency (CBDC), according to a report by The Guardian. Bailey’s remarks reportedly come in a letter obtained by the publication after a meeting between the two in which cryptocurrencies were among the topics discussed.

At the same time, the Bank of England continues its work on the proposed “digital pound,” stressing that it is still in the design stage and that no decision has been made about whether to introduce it. The juxtaposition of ongoing CBDC research with intensifying scrutiny of political figures underscores how UK crypto policy is increasingly intertwined with public trust and governance questions.

Key takeaways

• Bailey reportedly said the BoE has mechanisms to recognize attempts to influence policymaking and that no policy changes followed any interventions by Farage.
• Farage, a long-standing CBDC critic, resigned his parliamentary seat this week amid reports about accepted “gifts” connected to the crypto industry.
• The Bank of England reiterated that it has not decided whether to launch a digital pound and that any move would require further analysis and public consultation.
• Earlier this year, the BoE launched a six-month pilot exploring tokenized asset settlement using central bank money.

Bailey denies Farage influence on CBDC policy

In its Wednesday report, The Guardian said it obtained a letter written by Bailey following his meeting with Farage. The governor’s message, as described by the outlet, indicates that Bailey believes the BoE is “able to spot” efforts to sway central bank decision-making.

Bailey also reportedly addressed what (if anything) changed after the meeting. He wrote that it was a discussion covering “a range of topics, including cryptocurrencies,” and said he was “happy to confirm that no policy changes have taken place as a result of interventions” by Farage.

The reported denial arrives amid broader political controversy around Farage. Earlier this week, Farage resigned his parliamentary seat, with reports citing claims that he accepted “gifts” from individuals with ties to the crypto industry. Cointelegraph has previously covered the resignation in connection with those allegations.

Separately, Farage has maintained that he did not break the law, according to an X livestream in which he stated he had “not broken the law in any way at all,” as referenced in his post.

BoE maintains that the digital pound is not decided

While the political noise grows, the Bank of England’s stance on CBDC development remains consistent: it is exploring the digital pound without committing to implementation.

In a recent update, the central bank said that “no decision has been made on whether to introduce a digital pound.” The BoE also emphasized that any future launch would depend on further work, including analysis and public consultation, according to the bank’s digital pound update referenced in the article.

This matters for markets and users because CBDCs—unlike purely speculative technology projects—depend heavily on institutional design choices and regulatory guardrails. Even when a central bank is actively experimenting, it can still decide not to proceed after weighing privacy, financial stability, and operational feasibility.

Pilot work on tokenized settlement continues

The BoE’s digital pound timeline remains tied to experimentation rather than deployment. Earlier this year, the Bank launched a six-month pilot aimed at understanding how tokenized assets could be settled using central bank money.

As described in the source, the pilot involved 18 companies and was designed to test practical components of a future framework for on-chain settlement—part of a broader push to modernize UK financial infrastructure. Earlier coverage from Cointelegraph noted the BoE’s decision to select Chainlink for its synchronization lab to support the work.

For investors and builders, this type of pilot is significant because it can clarify which technical approaches are viable when the “asset” being moved is paired with central bank settlement rather than commercial bank money. It also helps explain how tokenized systems might interact with existing market practices—an area where many real-world asset tokenization efforts have struggled to translate concepts into resilient infrastructure.

At the same time, the BoE’s public messaging leaves room for uncertainty. Research pilots can inform future decisions, but they do not automatically translate into a CBDC launch. The key question moving forward will be whether the BoE concludes that the digital pound’s benefits outweigh the risks and whether the public consultation process produces sufficient confidence.

Political scrutiny widens beyond CBDC debate

The report detailing Bailey’s denial comes as the UK government’s crypto-adjacent political controversy expands beyond CBDC opinions. The Guardian also reported that the UK’s National Crime Agency is investigating transactions involving other senior Reform UK figures over suspected money laundering.

That broader context is relevant to how CBDC narratives may develop in the UK. Even if policymakers insist that central bank decisions are made independently, public trust can be affected when high-profile political figures are connected to allegations involving the crypto industry. This can influence how comfortable lawmakers and the public feel about the governance and oversight of any future digital currency.

What to watch next is whether the BoE provides more detail on how it evaluates influence attempts and governance risks in its CBDC process, and how the ongoing investigations and Farage-related claims evolve alongside the Bank’s experimental work toward the digital pound’s potential role in the UK financial system.

Bitcoin is once again trading under pressure as broader markets shift toward risk-off positioning amid rising geopolitical uncertainty and higher energy prices. On Wednesday, BTC fell about 3.5% after new developments related to the US–Iran conflict pushed Brent crude higher and renewed stress in parts of global bond markets.

While some of the equity damage appeared to stabilize later in the session, Bitcoin’s inability to rebound—after failing to reclaim the $64,500 area earlier in the week—has traders focusing on factors specific to crypto. The latest concern: how continued spot selling from MicroStrategy’s corporate arm, Strategy (MSTR US), could weigh on sentiment, especially as the market watches the $60,000 support zone.

Key takeaways

• BTC dropped roughly 3.5% on Wednesday as geopolitical risk drove oil prices higher and pressured broader risk appetite.
• Brent crude rose to around $74 (from about $68 the prior week), increasing inflation concerns and reducing the odds of near-term Fed rate cuts.
• Traders are recalibrating expectations after Strategy’s reported $216 million Bitcoin sales, with extra attention on whether those sales fall outside its main Monetization Program.
• Concerns about tighter global regulatory posture—highlighted by policy signals from India—add a second layer of downside risk for crypto sentiment.
• With sentiment fragile, a retest of the $60,000 support level is increasingly seen as plausible.

Geopolitics, oil, and why “higher-for-longer” risk matters for BTC

The immediate catalyst for Wednesday’s broad de-risking was the renewed escalation between the US and Iran, which also fed into energy markets. The article notes Brent crude rose to about $74 after the official breakdown of a US–Iran memorandum of understanding. US President Donald Trump said the deal was “over” after US strikes targeted Iranian sites in response to vessel attacks.

Higher oil prices can quickly translate into wider inflation risk. That matters for Bitcoin in a practical way: if inflation worries strengthen, the market tends to push back expectations for Federal Reserve easing. In turn, risk assets often face less support from liquidity expectations.

The direction of rate expectations appears to have shifted. According to the CME FedWatch Tool referenced in the article, traders were pricing roughly 69% odds of interest rate hikes by September—up from 42% about a month earlier. With Bitcoin still not widely treated as a hedge in the way traditional investors sometimes expect gold to function, tighter monetary expectations tend to weigh more directly on BTC demand.

Bitcoin lags the rebound: a sign of extra crypto-specific pressure

Earlier in the week, Bitcoin struggled near the $62,000 region and failed to reclaim the $64,500 level on Monday. The piece highlights that the Nasdaq-100, a tech-heavy benchmark, was also in a downtrend around that time, linking Bitcoin’s underperformance to broader risk behavior.

However, the key difference on Wednesday was that markets later appeared to stabilize, while Bitcoin still couldn’t mount a durable bounce. The article interprets that divergence as evidence that additional forces—beyond just equities—are contributing to the current weakness.

Those forces center on two themes: the possibility of continued Bitcoin selling pressure from Strategy, and the perception that global regulation could tighten further rather than ease.

Strategy’s $216 million sales renew selling fears

Strategy (MSTR US) disclosed Bitcoin sales totaling about $216 million on Monday, according to coverage referenced in the article from Cointelegraph. The sell size itself drew attention, but the timing and structure of those sales raised additional questions among traders.

The piece notes that many investors were surprised to learn the sales took place outside Strategy’s core $1.25 billion Monetization Program. The cited 8-K filing states that the program accounts only for proceeds used to fund the company’s cash reserves.

That distinction matters because it changes how the market models future flows. If selling is occurring outside a clearly defined monetization framework, investors may struggle to predict whether supply pressure is temporary or could persist as Strategy manages cash needs and debt obligations.

The article also points to Strategy’s financing commitments: it cites total annual dividends of $1.76 billion and notes the company holds more than $3.8 billion in convertible debt, with the earliest call date before April 2027. Together, those elements reinforce the idea that Strategy’s treasury management could continue to affect BTC supply and price sensitivity—particularly during periods of macro stress.

Regulatory signals and global uncertainty add to downside risk

Macro pressure isn’t the only negative input. The article also highlights regulatory developments outside the United States, citing signals from India. It points to documents described as showing India’s central bank backing policies that lean toward prohibiting crypto activities, including barring banks from any exposure to virtual assets intended to safeguard financial stability. It also notes that the India tax department highlighted risks associated with evasion.

For Bitcoin traders, the relevance is straightforward: when oversight expectations rise across major jurisdictions, market participants often discount risk premia more aggressively. Even if policy changes take time to translate into enforceable outcomes, the sentiment impact can show up quickly in trading behavior.

Layer on top of that renewed economic uncertainty connected to geopolitical decisions at the NATO summit—along with stress in parts of the bond market, particularly Japan as described in the article—and the result is a market that appears less willing to absorb negative BTC-specific headlines.

What to watch around $60,000

With sentiment described as fragile and multiple headwinds converging—monetary expectations shifting toward tighter conditions, renewed focus on Strategy’s ongoing Bitcoin liquidity needs, and regulatory tightening signals—traders are increasingly treating the $60,000 support level as the next key test. The near-term question is whether macro pressure eases enough for BTC to reclaim momentum, or whether continued selling risk and tightening policy expectations push another move below that threshold.

Key Takeaways

• Shares of Palantir closed approximately 4.8% lower at $127.88 on Wednesday, halting a seven-session rally that had driven the stock up 25%.
• Concerns emerged following a Financial Times article discussing potential political opposition to Palantir’s government work from Democratic legislators.
• Federal contract revenues reached approximately $2.2 billion in the twelve months since Trump’s presidential return, marking a 65% annual increase.
• The stock continues to trade beneath both its 100-day and 200-day moving averages, maintaining a Death Cross pattern established in February.
• Wall Street maintains a Buy consensus rating with a $174.10 average price target; the company’s next earnings release is projected for August 3.

---

Palantir Technologies (PLTR) experienced a significant decline Wednesday, ending a seven-session upward momentum. Shares retreated approximately 4.8% to close at $127.88, positioning the data analytics firm among the S&P 500’s weakest performers for the trading day.

Palantir Technologies Inc., PLTR

The downturn followed publication of a Financial Times piece highlighting internal company discussions and suggesting Democratic legislators might leverage subpoena authority to investigate Palantir’s federal government engagements should they reclaim House majority control.

DA Davidson’s Gil Luria spoke with Barron’s, attributing the price movement directly to the Financial Times coverage. Luria contested the political risk thesis, emphasizing that Palantir has maintained Defense Department relationships through five different administrations spanning both major political parties.

“Each successive administration has expanded its reliance on Palantir’s capabilities beyond what came before,” Luria noted.

The timing carries significance. PLTR had concluded Tuesday’s session precisely at its 50-day moving average near $134. Wednesday’s reversal indicates the stock encountered resistance at that technical threshold before retreating.

Palantir declined to provide commentary when contacted.

Congressional Concerns and Federal Revenue Exposure

While political controversy surrounding Palantir isn’t unprecedented, the Financial Times piece elevated these concerns prominently. The company has faced ongoing criticism regarding its contracts with U.S. immigration authorities, defense entities, and involvement in Israel’s Gaza operations.

The heightened attention carries weight given the financial stakes involved. Federal contract revenues approached $2.2 billion during the twelve-month period following Trump’s presidential inauguration—representing a 65% year-over-year surge. Meanwhile, commercial segment revenues more than doubled during this timeframe.

Any material interruption to these government agreements would represent substantive business impact beyond mere reputational considerations.

Notably, investor Michael Burry has established a short position against PLTR, contending that Anthropic represents competitive pressure in the artificial intelligence domain. Chief Executive Alex Karp has countered this perspective, asserting that large-scale AI models generate challenges that Palantir’s solutions are specifically designed to address for enterprise clients.

Technical Analysis of PLTR

The broader technical landscape remains challenging. PLTR currently trades 18.6% beneath its 200-day moving average of $157.31 and 7.9% under its 100-day moving average at $139.05. The Death Cross pattern—where the 50-day average crosses below the 200-day average—materialized in February and persists.

Year-to-date in 2026, Palantir shares have declined 29% and remain 39% off the all-time closing peak of $207.18 reached November 3, 2025.

The recent seven-day advance provided temporary respite. Following a June 25 trough at $107.27, PLTR rallied 25% across seven consecutive sessions. This momentum stemmed partially from an announced collaboration with Nvidia focused on developing specialized AI architectures for federal government applications, complemented by DA Davidson’s rating upgrade to Buy with a $175 price objective.

Wednesday’s retreat disrupted this positive trajectory.

Investors now turn attention toward the company’s upcoming earnings announcement, anticipated for August 3. Analyst projections call for earnings per share of 33 cents, double the 16 cents reported in the year-ago quarter, alongside revenue expectations of $1.81 billion versus $1.00 billion previously.

Wall Street maintains a consensus Buy recommendation on the shares with an average twelve-month price target of $174.10.

The European Securities and Markets Authority (ESMA), a key EU regulator supporting the implementation of the Markets in Crypto-Assets (MiCA) framework, is launching a dedicated process for reviewing crypto custody providers.

ESMA plans to conduct a common supervisory action (CSA) focused on the operational resilience of crypto-asset service providers (CASPs), with a specific emphasis on custody services, according to an official announcement on Wednesday.

“The CSA will assess the maturity of CASPs’ digital operational resilience frameworks in relation to custody activities,” ESMA said, adding that the reviews will focus on areas including key and storage management, alongside other operational risks.

The move comes shortly after the end of MiCA’s transition phase on July 1, prompting increased attention to how EU authorities will supervise compliance with the new framework, including potential enforcement questions.

National regulators to conduct custody reviews

ESMA said the supervisory action will be conducted by national competent authorities (NCAs) across the EU, which will assess a risk-based sample of authorized CASPs.

The reviews will run from now through the first half of 2027, with regulators examining how companies handle custody-related operational risks.

In addition to reviewing key and storage management, NCAs are expected to assess areas such as governance structures, transaction controls, incident detection and response, and dependencies on external service providers.

Related: Belgian regulator flags 6 unauthorized crypto providers after MiCA deadline

ESMA will later consolidate the findings into a final report to be submitted to its Board of Supervisors after the exercise concludes in the second half of 2027.

The review comes as some custody providers have stepped in to support crypto platforms adapting to Europe’s new regulatory environment.

Last month, crypto custody company BitGo launched a Europe-focused crypto-as-a-service platform aimed at helping platforms maintain access to the market while working through MiCA-related compliance requirements.

Magazine: How crypto laws changed in 2025 — and how they’ll change in 2026

Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.