In this week’s edition of the weekly recap, Bitcoin climbed above $72,000 as more than $3 billion in leveraged positions were liquidated, President Donald Trump urged Congress to pass a “fair” CLARITY Act, and the SEC proposed new crypto offering exemptions covering raises of up to $75 million.

Bitcoin clears $72,000 during $3 billion short squeeze

• Bitcoin surged from about $64,100 to more than $72,000 as liquidations across major crypto derivatives exchanges exceeded $3 billion on Aug. 19 and 20. Short positions accounted for approximately $2.77 billion, or 92%, of the forced closures.
• The move followed the U.S. Treasury’s decision to increase the maximum size of long-dated bond buybacks from $2 billion to at least $4 billion per operation. Binance recorded about $518 million in liquidations, while Hyperliquid processed roughly $513 million.

Trump urges Congress to approve a fair CLARITY Act

• Trump called for a “fair version” of the CLARITY Act during an Aug. 19 White House event attended by executives from Coinbase, Gemini, Ripple, Chainlink Labs and other technology companies.
• The bill would divide oversight of the U.S. digital asset market between the SEC and CFTC. Senate negotiations remain divided over ethics provisions, decentralized finance and stablecoin rewards ahead of a Sept. 15 procedural vote requiring 60 votes.

SEC proposes crypto exemption for raises up to $75 million

• The SEC proposed two registration exemptions under Regulation Crypto Assets. One pathway would allow eligible issuers to raise up to $5 million over four years, while another would cover up to $75 million during a 12-month period.
• The proposal also includes a conditional safe harbor that could allow a crypto asset to exit investment-contract treatment after meeting specified conditions. Stakeholders have 60 days to comment, meaning the framework has not taken effect.

Citi prepares institutional Bitcoin custody service

• Citi unveiled its Custody+ platform and said it expects to begin offering institutional digital asset custody later in 2026, starting with Bitcoin. The bank has not disclosed a precise launch date or named participating clients.
• Custody+ will place cryptocurrency and traditional securities within a shared framework that also supports real-time settlement, liquidity services and market information. Citi said more than 80% of its asset-servicing events are already processed in real time.

CFTC prepares crypto rules despite congressional uncertainty

• CFTC Chair Michael Selig said crypto market structure work would continue even if Congress fails to pass the CLARITY Act. The agency has prepared proposals, although Selig did not identify their content or publication dates.
• Existing law allows the CFTC to regulate derivatives and pursue fraud in spot commodity markets. Congress would still need to expand the agency’s authority before it could routinely supervise crypto spot exchanges under the broader framework envisioned by the bill.

Ethereum reaches $2,448 as ETF inflows return

• Ethereum rose above $2,400 after gaining more than 20% during the week. ETH reached an Aug. 21 intraday high near $2,448 as short liquidations, broader risk appetite and spot ETF demand supported the breakout.
• U.S. spot Ether ETFs attracted $189 million on Aug. 19, their highest daily inflow since October. The daily relative strength index reached 86; however, placing ETH in overbought territory as it approached resistance around $2,450.

XRP gains 17% as Ripple backs XRPL amendment

• XRP gained 17% and reached an intraday high of $1.43 as Ripple voted in favor of the PermissionDelegationV1_1 amendment. U.S. spot XRP ETFs recorded $13.24 million in daily net inflows.
• Seven of the 35 validators on the XRP Ledger’s default Unique Node List supported the amendment at the latest count. The proposal must maintain support above 80% for two continuous weeks before it can become active.

Ethena rises 65% following $1 billion FalconX deal

• Ethena’s ENA token gained about 65% during the week and reached an intraday high near $0.145 after Ethena and FalconX opened a $1 billion overcollateralized lending facility using assets backing USDe.
• Bullish comments from BitMEX co-founder Arthur Hayes also supported demand, according to crypto.news. ENA’s four-hour relative strength index reached 93.97, indicating that the rapid rally had moved into heavily overbought territory.

Securitize launches tokenized high-yield fund

• Securitize launched the HINC tokenized fund with Neuberger serving as subadvisor. The fund will invest mainly in high-yield bonds while also permitting exposure to collateralized loan obligations and leveraged loans.
• Tokenized fund interests will be issued across Avalanche, Ethereum, Solana and Sui. Access will remain limited to accredited investors and qualified purchasers who complete Securitize’s identity and compliance checks.

FASB proposes stablecoin cash-equivalent treatment

• The Financial Accounting Standards Board proposed three conditions that could allow U.S. companies to present qualifying stablecoins as cash equivalents without changing the existing definition under generally accepted accounting principles.
• Eligible stablecoins would require direct on-demand redemption rights and one-to-one reserves held in segregated accounts containing short-term, highly liquid assets. The proposal remains open for public comments until Nov. 19.

Swift connects two bank tokenized deposit systems

• Swift, HSBC and Standard Chartered completed the first live interbank transaction on Swift’s blockchain-based ledger, connecting the banks’ separately operated tokenized deposit platforms.
• The ledger matched and netted payment obligations before final settlement occurred through existing banking systems. Seventeen banks across six continents have joined Swift’s broader pilot, but the organization has not announced a commercial launch date.

X considers USDC for creator payments

• Elon Musk’s X is considering USDC and other stablecoins as possible payment methods for creators while preparing to replace its existing revenue-sharing program.
• X has not selected a token or confirmed that stablecoin payments will launch. The platform’s Original Content Rewards program is scheduled to replace Revenue Sharing on Sept. 8.

Solana Company opposes inflation and fee proposals

• Nasdaq-listed Solana Company supported Solana’s proposed constitution but opposed separate plans to accelerate disinflation and change network fees. Voting on the first three Solana Governance Proposals was scheduled to begin Aug. 22.
• The disinflation proposal could reduce projected issuance by 18.9 million SOL over six years. Solana Company said changing staking and fee rules could discourage institutions, although successful governance votes would guide policy rather than activate the proposals automatically.

South Korea’s Financial Supervisory Service has deployed a real-time AI system that scans trading data, news and online content to flag suspected crypto price manipulation.

AI crypto surveillance screens price and volume spikes

The Financial Supervisory Service said in its Aug. 20 announcement that the platform combines generative AI with machine learning to automate parts of a process that previously required investigators to examine large volumes of exchange data manually.

Built around real-time trading information, the system first searches for assets showing abnormal changes in price or volume. It then compares the activity with patterns drawn from the regulator’s previous investigations, allowing staff to focus on trades that share features with known forms of market abuse.

Among the patterns listed by the FSS are the “racehorse” type, in which a token moves sharply during a short period, and the “cage” type, which involves a steep rise in an asset while deposits or withdrawals are suspended or restricted.

The latest platform extends an algorithm introduced in January, when the regulator began using AI to identify suspected price manipulators and isolate the periods and orders linked to their activity. Rather than limiting the technology to a later investigative step, the new setup connects the initial alert, supporting information, and preliminary review in one workflow.

For possible wash trading or coordinated trading, the FSS applies Benford’s Law alongside machine-learning models. Benford’s Law measures how often different leading digits occur in naturally formed numerical datasets, while the regulator uses deviations to select assets and trading periods for further review.

News and chat-room scans test each alert

Once a token records an unusual move, generative AI checks relevant news and exchange announcements for a plausible cause. A listing notice, network update, or another verified event may explain the volatility, while a sharp move without a clear reason can lead the regulator to request detailed order and account data from the exchange involved.

Alongside public market information, the system reviews complaints, tips, and media reports when deciding whether an alert warrants an in-depth analysis. Generative AI then places its findings into a standard report, giving investigators a record of the price move, volume change, identified catalyst, and other indicators before they choose the next step.

Online promotion has also entered the surveillance process. According to the FSS, the system converts text, video subtitles, and audio from YouTube, internet forums, and private-messaging chat rooms into text, then examines the material for suspected front-running, false information, or coordinated calls intended to induce unfair trades.

The FSS said the online review targets cases in which organizers trade ahead of their followers, circulate false claims, or coordinate buy recommendations intended to draw retail traders into an asset. Investigators remain responsible for deciding whether the information supports further analysis or a planned investigation.

South Korea has pursued more than 40 trading cases

The new system follows two years of enforcement under South Korea’s Virtual Asset User Protection Act, which took effect on July 19, 2024. The law requires service providers to separate customer holdings from company assets and keep user deposits with banks, while giving regulators authority to inspect providers and act against insider trading, wash trading, and price manipulation.

As crypto.news reported last month, Korean authorities examined more than 40 suspected unfair-trading cases during the law’s first two years. Financial Services Commission Chair Lee Eog-won said officials reported or referred more than 30 cases to investigative agencies, identified 25 suspects and calculated average unlawful gains of about 1.4 billion won, or roughly $940,000, per case.

Exchange-level controls have developed alongside the regulator’s own surveillance. In May, new API-key controls required members of the Digital Asset Exchange Alliance—Upbit, Bithumb, Coinone, Korbit and Gopax—to monitor suspected key sharing, use IP whitelists and invalidate keys after warnings and user checks.

The rules followed an FSS estimate that API-based trading represented about 30% of domestic crypto turnover. Because an API key can allow an outside program to check balances, place orders, and initiate transfers, the exchange group linked improper sharing to risks that include coordinated trading and possible price manipulation.

Legislation under preparation would cover more than unfair trading. On July 29, the FSC outlined a consolidated bill that could combine 10 pending digital-asset proposals and set rules for stablecoins, exchanges, disclosures, internal controls and system resilience. The Virtual Asset User Protection Act remains the main law governing custody, market abuse and user safeguards while lawmakers negotiate the second-stage framework.

U.S. regulators also keep people in control

In the United States, a May 2025 GAO review found that federal financial regulators used AI to identify risks, support research and detect possible legal violations or reporting errors, but most agencies did not treat model output as the sole basis for a decision.

The Securities and Exchange Commission told the Government Accountability Office that staff used AI tools to identify trading patterns that might indicate insider trading. Subject-matter specialists reviewed the flagged trades before deciding whether further investigation was warranted, while every regulator using AI as of December 2024 said human staff considered model results together with other supervisory information.

At the time covered by the GAO review, federal regulators said they were not using generative AI for supervisory or market-oversight work, although some agencies were considering it. Based on the uses disclosed to the GAO as of December 2024, the Korean platform applies generative AI to supervisory tasks that U.S. agencies had not reported using it for at the time.

A 2025 CFTC roundtable identified real-time detection of spoofing and wash trading as potential uses for AI surveillance. Participants also warned that crypto oversight faces fragmented data because centralized exchanges may execute trades, match orders, manage margin, and hold customer records away from public blockchains.

Under current U.S. law, the Commodity Futures Trading Commission can pursue fraud and manipulation in spot commodity transactions, but it does not routinely supervise spot crypto exchanges in the same way that it oversees registered derivatives markets. Under current CFTC plans, proposals within its existing authority can proceed, while the CLARITY Act would be needed to establish the complete federal registration framework contemplated for spot digital-commodity platforms.

In recent comments, XYO co-founder Markus Levin said regulators need reliable input data and clear operating limits when AI findings can trigger government inquiries. He also raised the risk of false alerts or unverified allegations if investigators place too much weight on automated output.

Levin cited safety tests involving experimental models from Meta, Anthropic and OpenAI that reportedly crossed preset boundaries, accessed systems without authorization or continued operating after restrictions. His comments presented the tests as a warning against allowing automated findings to trigger legal action without independent checks.

Human review will remain mandatory under the FSS process, with investigators assessing each generated report before choosing whether to conduct a detailed analysis or prepare a formal investigation. An FSS official said the platform would help limited staff “respond quickly and efficiently” to increasingly complex unfair trading.

The regulator also plans to add tools for tracing funds across exchanges and following transactions on-chain, although its Aug. 20 announcement did not provide a deployment date for either feature.

MUBARAK has risen 26.1% to $0.0266 as BNB Chain meme tokens have attracted fresh trading activity alongside a $200,000 network campaign.

MUBARAK price leads BNB Chain gains

CoinGecko data showed MUBARAK trading at $0.0266, up 26.1% over the previous 24 hours, with a market capitalization of $26.60 million.

Daily volume reached $42.36 million, up about 180% from the previous day, according to the tracker. The figure was roughly 1.6 times the token’s market value, indicating that a large part of its supply changed hands during the period. MUBARAK traded between $0.02031 and $0.02946 before giving back part of its intraday increase.

Across the same session, BinanceLife advanced 10.6% to $0.5382. CoinGecko placed its market capitalization at $535.51 million and daily volume at $24.62 million, making it the largest token by value among the BNB Chain meme assets covered in the report.

Other Four.meme-linked tokens also attracted buyers. CoinGecko said Tutorial gained 16.4% to $0.03661, supported by $57.58 million in trading volume and a $30.55 million market cap. Hajimi rose 19.8% to $0.01606, with its market value reaching $16.06 million.

Some of the earlier gains had faded by the time of the latest reading. Wo Ta Ma Lai Le, which is sometimes translated as “I’m Coming” or “I have arrived,” fell 1.7% to $0.009805 after previously showing a daily gain. Its market cap stood at $9.81 million, while volume reached $1.22 million.

The two Broccoli tokens also traded well below their earlier percentage increases. CoinGecko showed CZ’s Dog, known as BROCCOLI714 on Binance, gaining 1.2% to $0.01853. The token had a market cap of $17.95 million and $8.26 million in daily volume.

Broccoli, identified by a contract address ending in f3b, rose 2.7% to $0.006249. Its market value was $6.25 million, with volume at $1.91 million. CoinGecko’s figures indicate that the original report had reversed the market caps of BROCCOLI714 and the F3B token.

Trading contests add an incentive for BNB meme activity

BNB Chain supplied the main dated event around the latest trading activity when it announced a $200,000 campaign with the Flap and Four.meme platforms on Aug. 21.

According to the network, Flap’s $100,000 campaign runs from Aug. 19 through Aug. 28. Traders who exceed $500 in eligible volume can qualify for random daily distributions, with rewards applying to tokens launched through Flap on BNB Chain.

Four.meme will run a separate $100,000 profit-and-loss competition from Aug. 24 through Sept. 2, BNB Chain said. Each day, the platform will distribute 10,000 USDT among the top 150 traders ranked by daily profit and loss.

CoinGecko valued the Four.meme token category was at about $729 million, up 8.2% over 24 hours, while category volume approached $127 million. Its data showed BinanceLife accounting for most of the category’s total market value.

The activity was not limited to BNB Chain. CoinGecko said the total meme-coin market increased about 10.7% to $33.48 billion, with $8.56 billion changing hands in 24 hours. The global crypto market rose 5.7% to approximately $2.76 trillion during the same period.

MUBARAK also has access to leveraged trading markets. Aster’s documentation lists a MUBARAKUSDT perpetual contract, while an Aug. 10 report on the listing said the product allowed leverage of up to five times. According to the report, MUBARAK briefly moved from about $0.013 to nearly $0.03 after the market opened.

Older BNB Chain tokens return to active trading

MUBARAK first attracted heavy attention in March 2025, when crypto.news covered MUBARAK’s first rally following its addition to Binance Alpha and a purchase linked to Binance founder Changpeng Zhao.

At the time, Zhao spent 1 BNB, then worth about $600, to buy 20,150 MUBARAK. The token subsequently reached $0.21, although Zhao rejected the view that his activity alone had caused the increase.

“People give me too much credit,” Zhao said at the time, adding that builders had already been working for years.

Binance later included MUBARAK, Broccoli, CZ’s Dog and Tutorial in its first community vote-to-list program. The exchange said candidates would still undergo checks covering adoption, token supply, technical risks, compliance, and the people behind each project.

In October 2025, Binance Wallet introduced its Meme Rush platform through an integration with Four.meme. The system divided tokens into new, finalizing, and migrated stages, with projects that completed the process becoming eligible for decentralized exchange trading and possible Binance Alpha consideration.

BinanceLife later drew attention from large holders. An April 14 report that tracked BinanceLife whale activity cited analyst Yu Jin as saying six wallets withdrew 57.88 million tokens, worth about $9.37 million at the time, from Binance within 20 hours.

PANews, citing the same monitoring, reported that the suspected entity held about 116.9 million BinanceLife tokens, equal to 11.7% of its one-billion-token supply. The position was valued at $21.71 million when the token traded near $0.22.

BNB’s advance has also provided a stronger market setting for tokens issued on its chain. An Aug. 10 analysis documented the $600 breakout after BNB reclaimed its 100-day moving average and approached liquidation liquidity between $618 and $623.

CoinGecko showed BNB trading near $698.66 in the latest session, up 5.2% in 24 hours and 18.7% over seven days. The token moved between $663.77 and $725.46, while daily turnover reached about $2.67 billion.

US traders face uneven access to BNB meme tokens

CoinGecko’s historical data showed that the latest gains have left several tokens far below their records. MUBARAK remained about 87% below its March 2025 peak of $0.2112, while CZ’s Dog traded roughly 93% below its $0.258 high.

BinanceLife was about 40% below its June 2026 record of $0.8942. The F3B Broccoli token remained around 94% under its April 2025 peak of $0.1107, according to CoinGecko.

For American traders, the presence of a token on a price-tracking page does not confirm that it can be bought through a U.S. exchange. Coinbase’s support documentation says it displays market information for some unsupported cryptocurrencies, while only a subset of the assets shown on its platform can be traded.

It should be noted that meme coins generally have limited practical use and rely heavily on market sentiment. Their prices can change sharply within short periods, so traders should approach them with caution.

A Reuters/Ipsos poll puts hard data behind a controversy that has trailed Trump’s second term. The survey found that even half of Republicans believe his business interests are shaping presidential decisions. Congress returns in September to vote on the CLARITY Act, and the ethics provision that could restrict sitting officials from launching tokens is the fight most likely to kill it.

The number arrived on a Monday, two days before the Senate returned from recess, and it landed on the one question Congress has been unable to resolve since the CLARITY Act negotiations began.

Reuters and Ipsos polled 1,166 American adults between Aug. 14 and Aug. 17. The survey asked whether Trump and his family had appropriately profited from cryptocurrency since his return to office. Sixty-three percent said no. Thirty-two percent said yes. The rest did not answer.

That 63% figure is significant not because it is surprising but because it is the first nationally representative data point attached to a controversy that has been operating on anecdote and cable news commentary for months. Lawmakers have argued about the ethics clause in the CLARITY Act using floor speeches, press conferences, and leaked negotiating texts. Nobody had polled the public until now.

The result puts the Senate in a specific bind: the provision most likely to kill the most significant crypto legislation in U.S. history is also the provision with the clearest public support.

What the poll actually says

The Reuters/Ipsos survey measured three things, and the granularity matters because the headline number obscures the more politically consequential findings beneath it.

First, the appropriateness question. Sixty-three percent of respondents said it was inappropriate for Trump and his family to have profited from crypto the way they have. This breaks along predictable partisan lines, with nearly all Democrats and about two-thirds of independents finding the profits inappropriate. About seven in 10 Republicans called the dealings appropriate.

Second, the influence question. Sixty-nine percent of respondents said they believe the president’s private business interests are shaping his decisions in office. This number is higher than the appropriateness figure, suggesting that even some respondents who consider the crypto dealings appropriate still believe they are influencing policy. The group included two-thirds of independents and nine in 10 Democrats.

Third, and most importantly for the CLARITY Act: roughly half of Trump’s fellow Republicans said they think he lets his business interests influence his decisions. This is the number that matters in the Senate. Republican senators voting on the ethics provision are not worried about losing Democratic voters. They are worried about losing their own base, and the poll suggests the base is split.

The survey carries a margin of error of 3 percentage points. It was conducted online, which introduces the usual caveats about sampling methodology. But the directional finding is unambiguous: a clear majority of Americans, including a substantial minority of Republicans, believe the president’s crypto activities cross a line.

The $1.4 billion that created the problem

The controversy is not abstract. It is attached to a specific dollar figure.

Financial disclosures released earlier in 2026 showed that Donald Trump earned more than $1.4 billion from cryptocurrency ventures since returning to office. The two primary sources are World Liberty Financial, a DeFi venture backed by the Trump family, and a self-branded meme coin launched under the Trump name.

World Liberty Financial has been active across multiple product lines. In February 2026, the venture announced plans to launch a foreign exchange and remittance platform aimed at simplifying global money transfers. In the same month, reports surfaced of a $500 million Abu Dhabi-linked investment in the platform, which Trump denied knowledge of when asked. On-chain data tracked by Lookonchain showed WLF purchasing hundreds of millions of dollars in Ethereum, with its ETH stack reaching $296 million by late July 2025.

The meme coin generated the larger controversy. Unlike World Liberty Financial, which at least operates infrastructure, the meme coin is a speculative token with no utility beyond its association with the presidential brand. Its holder distribution, on-chain activity, and price action have been the subject of repeated Congressional inquiries.

XRP jumped 14% in 24 hours to $1.40, closing above both the 50-day and 200-day exponential moving averages for the first time since the bearish crossover formed. But the averages themselves have not crossed back, and the rally is riding borrowed momentum from a Bitcoin short squeeze, not from XRP-specific demand. The chart signal is real. The narrative around it is running ahead of the data.

The XRP chart did something on Thursday that it had not done in weeks. It closed a daily candle above both its 50-day and 200-day exponential moving averages simultaneously, punching through the ceiling that had rejected every rally attempt since the death cross formed.

The headlines arrived within minutes. “XRP erases death cross.” “XRP signals golden cross.” “Ripple breakout confirms trend reversal.” Each headline is slightly more aggressive than the data supports, and the gap between what the chart actually shows and what the coverage claims matters, because traders who buy a narrative that outruns the evidence are the ones who get caught when the chart reverts.

Here is what actually happened, what it means, and what would need to happen next for the bullish read to hold.

What a death cross is and what it is not

A death cross forms when a shorter-term moving average crosses below a longer-term moving average. In XRP’s case, the 50-day exponential moving average dropped below the 200-day EMA earlier in August. The signal is a lagging indicator, meaning it confirms a trend that has already been underway rather than predicting a new one.

Traders treat the death cross as a bearish signal because it quantifies what the price action is already showing: that recent prices are consistently lower than the longer-term average, which implies sustained selling pressure. But the signal has significant limitations.

First, it is slow. By the time the 50-day crosses below the 200-day, weeks of downward price action have already occurred. Traders who wait for the signal to sell are late. Traders who use it as a reason to stay out of a position may miss the recovery that often follows.

Second, its predictive accuracy varies by asset. In equities, a death cross on the S&P 500 has historically preceded further declines about 60% of the time. In crypto, the record is messier. Bitcoin’s death cross in June 2021 preceded a move from $30,000 to $69,000 within five months. XRP’s death cross in November 2025 preceded a 20% decline, but the one in May 2025 preceded a sideways range that eventually resolved higher.

The point is not that death crosses are meaningless. The point is that they are one input, not a verdict, and the same is true of the signal’s reversal.

What Thursday’s candle actually showed

XRP opened the day at $1.2681. It hit an intraday high of $1.43 and settled near $1.40. The 24-hour gain of 14.21% made XRP the single best performer among the top 10 cryptocurrencies by market cap, beating Bitcoin’s 7.44% and Ethereum’s 4.50%.

The critical feature of Thursday’s candle is that it closed above both the 50-day and 200-day EMAs. This is the first time that has happened since the death cross formed. Previous rally attempts had either tagged one average and failed or pushed briefly above both on an intraday basis without holding into the close.

A daily close above both averages is a necessary condition for the death cross to reverse. But it is not sufficient. The death cross itself is defined by the relationship between the two averages, not between price and the averages. The 50-day EMA is still below the 200-day EMA. The lines have not crossed back. What traders call a “golden cross,” the bullish reversal of the death cross, requires the 50-day to cross above the 200-day, which has not happened and typically takes additional days or weeks of sustained price strength to achieve.

U.S.-listed spot Bitcoin and Ether ETFs have attracted $2.61 billion across five trading sessions, recording their strongest combined week since October 2025.

Bitcoin ETF inflows reach $1.92 billion

SoSoValue data showed that U.S. spot Bitcoin ETFs recorded $307 million in net inflows on Aug. 21, extending their run of positive daily flows to five trading sessions.

BlackRock’s iShares Bitcoin Trust, or IBIT, received $239 million during the final session, accounting for nearly 78% of the daily total. Fidelity’s Wise Origin Bitcoin Fund, or FBTC, ranked second with $30.19 million.

Following Friday’s allocations, IBIT’s cumulative net inflows reached $62.43 billion, while FBTC’s total rose to $10.18 billion. All U.S. spot Bitcoin ETFs held $96.07 billion in net assets, equal to 6.17% of Bitcoin’s market value, according to the data provider.

Friday’s result completed a week in which inflows accelerated as Bitcoin’s price climbed. The funds received $297.56 million on Aug. 17, followed by $189.30 million on Aug. 18 and $517.19 million on Aug. 19. Another $606.29 million entered the products on Aug. 20 before the pace eased to $307 million.

Adding the five sessions produces approximately $1.917 billion in net inflows. Bitcoin funds accounted for about 73% of the $2.615 billion that entered the two leading U.S. crypto ETF categories during the week.

One week earlier, investors had withdrawn $389.7 million from Bitcoin ETFs between Aug. 10 and Aug. 14. The latest result therefore represents a $2.31 billion improvement from one five-day period to the next, rather than a conventional percentage increase because the earlier figure was negative.

During the opening week of August, crypto.news reported a five-day streak that brought $853.5 million into Bitcoin ETFs. BlackRock contributed about $693 million, or 81% of that total, while Ether funds attracted another $244.9 million.

Compared with that period, the latest Bitcoin total was more than twice as large. SoSoValue’s historical weekly series also places the $1.92 billion intake above the $1.42 billion recorded in January, which had been the largest weekly Bitcoin ETF inflow since October 2025.

During the week of Oct. 6 to Oct. 10, 2025, the funds attracted about $2.71 billion. SoSoValue data showed that an even larger $3.24 billion entered Bitcoin ETFs between Sept. 29 and Oct. 3.

Ether ETFs add nearly $700 million

SoSoValue’s Ether ETF tracker showed that the products received $185 million on Aug. 21, completing their own five-session inflow run.

BlackRock’s iShares Ethereum Trust ETF, or ETHA, led Friday with $151 million. Grayscale’s Ethereum Mini Trust ETF followed with $11.51 million, lifting its cumulative net inflows to $1.85 billion.

ETHA has now attracted $12.17 billion since its launch. Across the full category, spot Ether ETFs held $14.30 billion in net assets at the end of the session, representing 4.85% of Ethereum’s market value. Historical cumulative net inflows stood at $12.15 billion.

Daily allocations began at $30.85 million on Aug. 17 before rising to $71.47 million on Aug. 18. The products then added $189.15 million on Aug. 19 and $221 million on Aug. 20, followed by Friday’s $185 million.

Together, the five sessions delivered approximately $697.47 million. The total followed a $2.26 million net outflow during the week ending Aug. 14, producing a $699.73 million improvement.

Ether’s latest intake also exceeded the category’s full July result. As previously covered in August, spot Ether ETFs attracted $365 million in July, compared with $205 million for Bitcoin funds. Ether products received more monthly capital than their Bitcoin counterparts for the first time since both categories began trading.

The order changed during the latest week, with Bitcoin again taking most of the new money. Ether still captured about 27% of combined inflows, while both asset groups recorded positive flows during every session.

ETF demand accompanied the Bitcoin and Ether rally

Bitcoin’s ETF intake rose as the asset broke out of a six-week trading range. On Aug. 21, Bitcoin cleared $76,000 after gaining about 18% in two days, moving from the low-$60,000 area through resistance at $65,000, $70,000, and $75,000.

CoinGlass data cited in the report showed that almost $3 billion in crypto positions had been liquidated as Bitcoin crossed $70,000, with short positions accounting for most of the losses. The ETF data indicated that demand from U.S.-listed funds accompanied the forced buying in derivatives markets.

Ether also moved above $2,400 during the week after gaining about 18% in one 24-hour period. The advance occurred as Ether ETFs posted their largest daily intake since October 2025 on Aug. 20, when the funds collected $221 million.

Ahead of the final two inflow sessions, Nansen senior research analyst Nicolai Søndergaard attributed Bitcoin’s rise to forced short covering, institutional demand and improved liquidity. LVRG Research Director Nick Ruck cautioned that one strong ETF session would not establish a lasting allocation trend.

“Sustained inflows are unlikely without additional confirmation,” Ruck said at the time. “Until those catalysts develop, inflows will likely remain temporary rather than structural.”

Five consecutive positive sessions have since provided more data than the single inflow day available when Ruck made the comment. SoSoValue’s figures show that Bitcoin and Ether funds collected a combined $2.615 billion during the period, reversing the previous week’s combined $391.96 million withdrawal by about $3.01 billion.

BlackRock captures most of Friday’s demand

BlackRock dominated the final session across both categories, receiving a combined $390 million through IBIT and ETHA. The two funds captured about 79% of Friday’s $492 million aggregate Bitcoin and Ether ETF inflows.

IBIT’s $239 million allocation also represented almost four-fifths of the $307 million entering Bitcoin products that day. ETHA accounted for roughly 82% of the $185 million directed toward Ether funds.

By the end of Aug. 21, Bitcoin and Ether ETFs held approximately $110.36 billion in combined net assets. Bitcoin products accounted for $96.07 billion, while Ether products held the remaining $14.30 billion, according to SoSoValue.

CME Chairman Terry Duffy and Kalshi co-founder Luana Lopes Lara traded insults at a CFTC roundtable over whether prediction markets are legitimate financial infrastructure or carnival games. The confrontation is the public face of a deeper regulatory battle between federal and state authorities, incumbent exchanges and startups, and two incompatible visions of what derivatives markets should look like.

The CFTC roundtable on prediction markets was supposed to be a policy discussion. It became a fight.

Terry Duffy, the chairman of CME Group, the world’s largest futures exchange, sat across from Luana Lopes Lara, the co-founder of Kalshi, a prediction market platform that lets users bet on everything from Bitcoin’s next price move to the Nathan’s hot dog eating contest. What followed was the most heated public exchange between financial industry executives in recent memory, and it happened in a government hearing room with cameras rolling.

The video is on YouTube. The quotes are real. And the fight, while personal, is the surface expression of a regulatory collision that will determine whether prediction markets become a permanent part of the U.S. financial system or get regulated out of existence.

What happened in the room

The CFTC convened the roundtable to discuss how event contracts should be regulated. Event contracts are futures that settle at $1 based on whether a specific outcome occurs. A contract on “Bitcoin above $80,000 by September 1” might trade at $0.45, implying a 45% probability. If Bitcoin is above $80,000 on that date, the contract pays $1. If not, it pays zero.

Duffy opened his remarks by saying he was “a lot concerned” about prediction markets and questioning whether they face the same regulatory scrutiny as established exchanges.

“We are not a bunch of carnival barkers at a circus,” Duffy said. “We are running the most envious markets in the world in the United States of America.”

He then singled out Kalshi by name, mocking one of its contracts. “There is another really economic contract that has been massively important for the United States,” Duffy said sarcastically. “That is a Nathan’s hot dog eating contest.”

Duffy also questioned why Kalshi could offer a compute prediction market while CME’s proposed compute contracts remained under CFTC review. The implication was clear: Kalshi operates under lighter regulatory oversight than CME, and that disparity is unfair.

After being called out by name, Lara responded. “I just wanted to respond since we were called by name here,” she said. “I would actually have to ask Terry: Has CME ever had any issues with any market manipulation, any issues ever in its history?”

Duffy deflected. “If you would like to have a debate, I am happy to have a debate with you.”

“I am just asking a simple answer to a question,” Lara said.

“I have more people in my regulatory department than you have in your whole company,” Duffy said.

“Maybe you should learn a bit about efficiency then,” Lara fired back.

“Well, maybe you should learn about credible markets,” Duffy replied, before moderator Walt Lukken stepped in to redirect the conversation.

DraftKings CEO Jason Robins, who was also on the panel, later urged participants to stop attacking each other’s businesses. “I would just ask everybody, both in this hearing and then also in future communications, to try to refrain from taking shots at each other’s business models or decisions you may not 100% agree with,” Robins said. “That does not advance the discussion.”

The jurisdictional war beneath the insults

The Duffy-Lara exchange was personal, but the fight is structural. Prediction markets in the United States sit at the intersection of three regulatory frameworks, and none of them fit cleanly.

The federal framework. The CFTC has claimed jurisdiction over event contracts as federally regulated derivatives. Under CFTC rules, platforms like Kalshi can list contracts on a wide range of outcomes, from commodity prices to weather events to elections, as long as the contracts meet certain requirements around market integrity and price discovery.

The state framework. Multiple states argue that prediction market contracts are gambling products subject to state gambling laws, not federal derivatives law. If states prevail, platforms like Kalshi would need state-by-state gambling licenses, fundamentally changing their business model and cost structure.

The unresolved middle. Some contracts fit neatly into the derivatives framework (a contract on oil prices, for example). Others fit more naturally into the gambling framework (a contract on the Nathan’s hot dog eating contest). The question of where the line falls between “legitimate price discovery” and “dressed-up gambling” is the central regulatory question, and nobody has answered it.

CFTC Chair Selig has defended the agency’s jurisdiction aggressively. In February 2026, he warned states challenging federal authority with a blunt statement: “We will see you in court.” The agency has since taken legal action against states seeking to regulate event contracts under their gambling laws.

In June 2026, the CFTC proposed restrictions on certain contracts involving war or assassination and some sports proposition bets considered particularly susceptible to manipulation. Nine Democratic senators followed up by urging the CFTC to prohibit wildfire event contracts, warning they could create incentives for arson, insider trading, and disaster profiteering.

The proposals reveal an agency trying to walk a line: maintain jurisdiction over prediction markets while acknowledging that some contracts raise legitimate public policy concerns. The CFTC wants to regulate these markets, not eliminate them. But the more contracts the agency restricts, the stronger the argument becomes that the contracts are not really derivatives and should be regulated as gambling.

The New York lawsuit

The highest-stakes legal battle is in New York. The state filed suit against Kalshi, seeking at least $36 billion in damages and calling the platform an unlicensed gambling operation. The lawsuit seeks a temporary restraining order to halt Kalshi’s contracts immediately.

The $36 billion figure is attention-grabbing because it is larger than Kalshi’s entire lifetime volume. New York calculated it by applying state penalties to the number of individual contracts traded on the platform, a methodology that produces an astronomical headline number regardless of whether it would survive judicial scrutiny.

Separately, a Washington state judge ordered Kalshi to stop offering contracts on sports, elections, politics, and other events, finding it likely violated state gambling and consumer protection laws. Two days before the Washington ruling, the CFTC invoked emergency powers to keep Kalshi trading amid the legal challenge, setting up a direct conflict between federal and state authority.

The collision course is now explicit. The CFTC says Kalshi’s contracts are federally regulated derivatives. Multiple states say they are illegal gambling. Both cannot be right, and the resolution will likely come from the courts, not from legislation, because Congress has shown no appetite for addressing the jurisdictional question directly.

What CME is really fighting about

Duffy’s attack on Kalshi was not just about hot dog contests. CME Group operates the world’s largest futures exchange by volume, with more than $1 billion in daily revenue from trading fees. The exchange is publicly traded with a market capitalization exceeding $80 billion.

Prediction markets are a competitive threat to CME for a specific reason: they democratize access to event-driven trading. CME’s existing event contracts require institutional infrastructure to access. A retail trader who wants to bet on a Federal Reserve interest rate decision through CME needs a futures account, a broker, and margin requirements. A retail trader who wants to make the same bet through Kalshi needs a phone and a $5 deposit.

The fee structures are also different. CME charges per-contract fees that generate revenue proportional to volume. Kalshi charges lower fees on smaller notional values, targeting a mass retail audience rather than an institutional one. If prediction markets grow, they do not just create a new market. They create a substitute for the lower end of CME’s existing business.

Duffy’s “more people in my regulatory department” comment was not just about compliance. It was about cost structure. CME’s regulatory overhead is a competitive disadvantage if prediction market platforms can offer similar products without comparable costs. Duffy’s implicit argument is that prediction markets are competing unfairly because they are not held to the same standards.

Lara’s “efficiency” response was equally pointed. Kalshi’s pitch to regulators and the public is that it can provide the same market functions (price discovery, risk transfer, information aggregation) at lower cost because it is building on modern technology rather than maintaining decades-old infrastructure.

The consumer protection question nobody raised

Notably absent from the CFTC roundtable was any sustained discussion of consumer outcomes. A U.S. survey published on Aug. 12 by BadCredit.org found that 79% of prediction market users lost money in the past year. Fifty-one percent used borrowed funds to place bets.

These numbers are worse than the historical loss rates for retail futures trading (estimated at 70 to 75%) and comparable to the loss rates for retail forex trading in the U.S. (approximately 80%). The comparison to gambling is even more direct: state lottery commissions report that players lose an average of 50 cents on every dollar wagered, a better expected return than most prediction market users achieved.

The survey was not mentioned at the roundtable. Neither Duffy nor Lara referenced consumer loss rates. The CFTC commissioners did not raise them. The entire discussion was framed as a jurisdictional question (who regulates these markets?) rather than a consumer protection question (are these markets good for the people using them?).

This framing gap is significant because the strongest argument for state regulation is consumer protection. If 79% of users are losing money and half are borrowing to participate, the case for treating prediction markets as gambling products rather than financial instruments becomes substantially stronger, regardless of how the contracts are structured.

The math that makes prediction markets a threat

The economic case for why CME is fighting this hard comes down to three numbers.

CME Group reported average daily volume of approximately 24 million contracts in Q2 2026 across all product lines, including interest rates, equities, energy, agricultural commodities, metals, and foreign exchange. The exchange generated $5.6 billion in revenue in 2025. Its business model is built on a simple equation: more contracts traded at a per-contract fee equals more revenue.

Prediction markets are currently a fraction of CME’s scale. Kalshi’s cumulative lifetime volume is in the low billions of dollars. Polymarket peaked during the 2024 U.S. presidential election with approximately $3.5 billion in total volume. These numbers are rounding errors on CME’s balance sheet.

But the growth rate is not. Prediction market volume roughly tripled between 2024 and 2025 and is on pace to triple again in 2026. If that trajectory continues, prediction markets will process more volume in 2028 than CME’s foreign exchange or agricultural commodity divisions do today.

The strategic threat is not that Kalshi will replace CME. It is that prediction markets will capture the marginal growth in event-driven trading that would otherwise flow to CME’s newer product lines. CME has been expanding into weather derivatives, real estate futures, and other event-linked contracts. Prediction markets offer simpler, cheaper versions of the same exposure to a retail audience that CME’s institutional infrastructure cannot economically serve.

Duffy’s “more people in my regulatory department” comment was therefore not just about compliance. It was about whether the cost structure that makes CME a trusted institutional venue also makes it unable to compete for the retail end of the event-trading market. If the answer is yes, CME’s best strategy is not to build a better product. It is to raise the regulatory cost of entry until the competition cannot afford to operate.

The international dimension

The U.S. fight over prediction market regulation is playing out against an international backdrop that neither side discussed at the roundtable.

The United Kingdom’s Financial Conduct Authority has taken a permissive approach to prediction markets, classifying most event contracts as derivatives and regulating them under existing market frameworks. Several prediction market platforms have established U.K. operations as a hedge against U.S. regulatory risk.

The European Union’s Markets in Crypto-Assets (MiCA) regulation does not specifically address prediction markets but provides a framework under which event contracts tied to crypto assets could be classified and regulated. The European Securities and Markets Authority (ESMA) has signaled interest in the category but has not proposed specific rules.

Singapore’s Monetary Authority has taken a more restrictive approach, treating most prediction market contracts as gambling products and requiring platform operators to hold a gambling license.

The divergence matters because prediction markets are inherently global. A contract on “U.S. Federal Reserve raises rates in September” is equally useful to a trader in New York, London, or Singapore. If U.S. regulation becomes prohibitively restrictive, volume will migrate to jurisdictions with clearer rules, just as crypto trading volume migrated to offshore exchanges when U.S. regulation tightened.

CME would be hurt less by this migration than Kalshi, because CME already has a global footprint and can offer similar products through its European and Asian subsidiaries. Kalshi, as a U.S.-focused startup, would face an existential threat if its domestic market were closed by state regulation while international competitors operated freely.

The crypto connection

Prediction markets are not exclusively a crypto phenomenon, but crypto has been central to their growth. Polymarket, the largest prediction market by volume, operates on the Polygon blockchain. Kalshi accepts crypto deposits. Several newer platforms are built entirely on-chain.

The crypto connection creates a second regulatory complexity layer. If prediction market contracts are federally regulated derivatives, are crypto-native prediction markets subject to CFTC oversight? If they are gambling products, are they subject to state gambling laws even when they operate on decentralized infrastructure that has no physical presence in any state?

The CLARITY Act, currently working through Congress, does not directly address prediction markets. But its resolution of the securities-versus-commodities question for digital assets could indirectly affect how prediction market tokens and platforms are classified.

More directly, the prediction market regulatory fight is a preview of the jurisdictional battles that the broader crypto industry will face if the CLARITY Act fails. Without a federal framework, states will fill the vacuum, creating a patchwork of rules that vary by jurisdiction. This is already happening with prediction markets, and the result is legal chaos: the same contracts are legal in some states, illegal in others, and the subject of competing federal and state court orders that directly contradict each other.

What a competitor could not write: the insurance analogy CME will not use

There is an argument that neither side made at the roundtable, and it is the most clarifying frame for the entire debate.

Prediction market contracts on real-world events function as insurance. A farmer who buys a contract on “drought in Iowa before October” is hedging crop risk. A supply chain manager who buys a contract on “port strike in September” is hedging logistics risk. An energy company that buys a contract on “hurricane making landfall in the Gulf” is hedging infrastructure risk.

Insurance markets are some of the most heavily regulated markets in the world, and they are regulated at the state level. Every state has an insurance commissioner. Every insurance product requires state approval. The regulatory framework exists because insurance contracts involve real-world risks that affect real people, and the potential for fraud, manipulation, and adverse selection is high.

Prediction markets on real-world events are structurally identical to insurance contracts. The only difference is the label. If prediction markets were called “event insurance,” the jurisdictional question would not exist. They would be state-regulated by default.

CME cannot make this argument because it would undermine its own position. CME wants prediction markets classified as derivatives, not insurance, because CME’s competitive advantage is in the derivatives framework, not the insurance framework. But the insurance analogy is the most intellectually honest description of what prediction market contracts actually do.

Kalshi cannot make this argument either, because insurance regulation is even more restrictive than derivatives regulation. State insurance commissioners would require actuarial justification for every contract, capital reserves for every potential payout, and approval processes that would slow product launches to a crawl.

Both sides prefer the current ambiguity to the clarity that the insurance analogy would provide, because the clarity would disadvantage both of them in different ways.

What to watch

– The New York lawsuit timeline. If the court grants the temporary restraining order, Kalshi’s operations in New York stop immediately, setting up an emergency appeal that could reach the Second Circuit within weeks.
– CFTC final rulemaking on restricted contract categories. The June 2026 proposed restrictions on war, assassination, and certain sports contracts will become final rules. The scope of the restrictions will signal how aggressively the CFTC is willing to police the line between derivatives and gambling.
– Prediction market user loss rate data from the CFTC or a Congressional study. If the 79% loss rate figure enters the regulatory record, it strengthens the consumer protection argument for state regulation.
– CME launching its own event contracts. If CME files for CFTC approval of event contracts that directly compete with Kalshi’s offerings, the competitive dynamic changes from “should these markets exist?” to “who should operate them?”
– The CLARITY Act prediction market amendment, if one is filed. Any language in the CLARITY Act that addresses event contract jurisdiction would preempt the court battles and settle the question legislatively.

Disclaimer: This article is for informational purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency markets are volatile, and past performance does not guarantee future results. Always conduct your own research. Published Aug. 21, 2026.