Crypto World
Two Data Points Explain Why Dogecoin Is Outperforming the Crypto Market
Dogecoin (DOGE) has emerged as a standout performer among the top 100 largest crypto assets, posting double-digit gains while the majority is flashing red.
The meme coin has surged over 11% in the past week, even as the broader crypto market slipped 0.7% in the same period. The rally pushed Dogecoin to a 10-week high on Wednesday.
Dogecoin Whales Hit Record DOGE Holdings as Price Climbs 11%
According to BeInCrypto Markets data, the token was trading at $0.109 at press time, up 2.4% over the past day. Notably, on-chain activity suggests the rally may have more behind it than retail-driven hype.
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In a post on X (formerly Twitter), on-chain analytics firm Santiment reported that DOGE whales have ramped up activity to a six-month peak. The firm recorded 739 transfers of $100,000 or more in a single day.
At the same time, the 149 wallets holding 100 million DOGE or more now hold a record 108.52 billion meme coins, worth approximately $11.6 billion.
“The meme coin’s +14% price rise over the past 10 days is very likely not just a coincidence,” the firm said.
The combination of record-concentrated holdings and surging large-transfer volume frames the rally as more structured than a sentiment spike. If whales continue accumulating at this pace, DOGE may find further support in the weeks ahead, especially if broader market sentiment stabilizes.
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The post Two Data Points Explain Why Dogecoin Is Outperforming the Crypto Market appeared first on BeInCrypto.
Crypto World
DOGE rally heats up as whale activity hits 6-month high
Dogecoin posted strong gains over the past week, outperforming many top crypto assets.
Summary
- Dogecoin whale transfers above $100K reached 739 in one day, Santiment data showed.
- Whale wallets holding at least 100M DOGE now control a record 108.52B tokens.
- DOGE’s RSI crossed 70 as price neared resistance, raising short-term pullback risks.
The token traded near $0.109, with steady daily volume and rising market cap. Short-term momentum has pushed prices higher despite a broader mixed market.
On-chain data from Santiment showed a sharp increase in whale transactions. The network recorded 739 transfers above $100,000 in one day. Large holders now control 108.52 billion DOGE, marking a record level. Santiment noted that “the memecoin’s +14% price rise over the past 10 days is very likely not just a coincidence”.
RSI signals overbought conditions
The Relative Strength Index (RSI) on the daily chart climbed above 70. This level often signals overbought conditions. The current reading near 73 suggests strong buying pressure, but also raises the risk of short-term cooling.
The RSI trend has been rising steadily since mid-April. This reflects sustained demand. However, when RSI remains elevated, price pullbacks can follow. Traders often watch this zone closely for early reversal signs.

Additionally, the MACD indicator remains in positive territory. The signal line and MACD line are both trending upward. This confirms ongoing bullish momentum in the short term.
Histogram bars have also turned green and continue to expand. This suggests increasing strength in the current trend. Still, momentum indicators can lag during fast moves, making confirmation from price action important.
Resistance pressure and sell signals emerge
Price action shows Dogecoin approaching a key resistance zone near $0.11. The chart indicates multiple attempts to move higher, with gradual progress. This level has acted as a barrier in recent sessions.
Some analysts flagged caution signals. Ali Martinez stated that “TD Sequential flashes a sell signal on Dogecoin”. Another trader pointed to repeated rejections at resistance, adding that “the pattern is clean… this drop is coming”. These signals contrast with strong whale accumulation and ongoing momentum.
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
Crypto World
Visa Adds Polygon to Stablecoin Settlement as Card Payments Go 24/7
Visa has added Polygon as a settlement chain in its stablecoin program, giving fintech issuers a new way to settle card payment flows beyond standard banking hours.
While card payments feel instant to users, settlement for issuers still depends on bank calendars, cut-off times, weekends, and holidays. This creates a working-capital cost for fintechs, especially program managers and sponsor-bank-backed issuers with large card volumes.
Polygon’s addition gives those firms access to stablecoin settlement on a chain already used for high-volume USD payment activity.
Weekend Settlement Creates a Capital Cost
Card networks operate on real-time authorization and delayed settlement. A customer pays with a card immediately, while the funds between issuers, acquirers, and payment networks often move later through fiat systems such as ACH, Fedwire, SEPA, or local payment providers.
Fintech issuers usually cover this timing difference through prefunding or collateral.
With prefunding, an issuer places expected weekend volume into a Visa-held account before banks close. Visa can draw from the balance while banks are offline.
With collateral, an issuer maintains a standing balance for Visa to use if settlement fails. This capital sits aside for risk coverage instead of supporting daily operations or growth.
Large banks can often avoid these requirements due to stronger credit profiles. Fintech issuers usually absorb the cost.
Stablecoin Settlement Gives Issuers a Faster Route
Polygon gives Visa partners a route to settle in stablecoins during weekends and holidays.
Instead of waiting for fiat systems to reopen, an issuer can settle card flows in stablecoins on Polygon while payment activity continues. Settlement can complete in seconds, with finality after confirmed blocks.
This can reduce the need for large weekend prefunding balances. It can also help collateral sit closer to current exposure rather than a larger weekend estimate.
For stablecoin-native fintechs, the model is straightforward. Companies already holding USDC or other supported stablecoins can use those balances for Visa settlement.
For fiat-native fintechs, the process needs conversion, custody, settlement, and reporting. Polygon is positioning its Open Money Stack around this full workflow.
Open Money Stack Connects Fiat and Stablecoin Settlement
Polygon’s Open Money Stack is designed for fintechs entering stablecoin payments without rebuilding their operations.
Polygon handles the on-chain settlement leg. Polygon Wallets support custody on the issuer side, with coverage across more than 50 chains. Coinme, a licensed fiat on/off-ramp network with money transmitter licenses across 48 US states, supports fiat-to-stablecoin conversion.
Polygon Labs’ Coinme acquisition remains subject to regulatory approval.
The goal is a single operating flow. Dollars can convert into stablecoins, settle to Visa, and reconcile with existing treasury systems after the weekend.
For issuers, this reduces the complexity of adopting stablecoin settlement. It also places Polygon closer to the back-office payment flows where fintechs feel the cost of delayed settlement most.
Polygon Builds Its Case With Stablecoin Volume
Polygon’s case rests on payment activity, cost, and performance.
According to data cited by Polygon Labs from Allium and Dune, Polygon recently handled a large share of USD stablecoin transfers, including USDC activity. The source material also points to throughput above 2,600 transactions per second, roughly five-second finality, and lower fee volatility for institutional payment use.
Those points are relevant for card settlement. Payment firms need predictable execution during peak periods, weekends, and holidays. Low fees alone are insufficient when settlement flows require reliability and clean reconciliation.
Polygon’s existing work with firms such as Stripe, Revolut, Mastercard, BlackRock, and Flutterwave also strengthens its position as a payments enabler rather than a standalone blockchain network.
Final Thoughts
Visa adding Polygon to its stablecoin settlement program is a step in the right direction for fintech issuers.
The strongest benefit sits in treasury operations. Card payments already happen around the clock, while settlement still follows bank calendars in many markets. Stablecoins give issuers a way to close part of this timing problem.
For Polygon, the integration adds another proof point for stablecoin payments. For fintech issuers, it offers a possible reduction in idle capital, weekend prefunding pressure, and settlement delay.
The post Visa Adds Polygon to Stablecoin Settlement as Card Payments Go 24/7 appeared first on BeInCrypto.
Crypto World
Polymarket taps Chainalysis for on-chain surveillance to hunt insider trades
Polymarket partners with Chainalysis to deploy on-chain surveillance targeting insider trading and manipulation as volumes hit $7B monthly and regulation intensifies.
Summary
- Polymarket has selected Chainalysis to power a first-of-its-kind, fully on-chain market integrity monitoring system aimed at detecting insider trading and market manipulation across its prediction markets.
- The rollout lands two days after Polymarket’s April 28 exchange upgrade, which introduced new smart contracts, a rebuilt order book, and pUSD, an ERC-20 collateral token on Polygon backed 1:1 by USDC.
- Record trading volumes — including a single-day high of $425 million and more than $7 billion in monthly volume this year — are driving the push toward institutional-grade surveillance and compliance.
Polymarket has partnered with Chainalysis to deploy what it calls “a first-of-its-kind on-chain solution to monitor trading activity and enforce its Market Integrity Rules” across its DeFi prediction market platform, formalizing a surveillance layer explicitly designed to identify insider trading, fraud, and manipulation in real time.
In the announcement, Polymarket said that because “every trade, position, and settlement is recorded on a public blockchain,” that transparency can now “be harnessed to set a new public standard for market integrity in prediction markets and beyond,” with Chainalysis providing anomaly detection tuned to patterns “consistent with insider knowledge in prediction markets.”
Chainalysis system targets insider trading on-chain
The agreement spans multiple Chainalysis product lines, including investigative tools to create “blockchain-verified evidence for proactive and reactive engagement with law enforcement,” on-chain threat prevention, and professional services to “develop new detection capabilities and support complex investigations” as new abuse patterns emerge.
Polymarket framed the message bluntly, stating that the enhanced monitoring “sends a clear signal: insider trading, in addition to all types of fraud and market manipulation, is not welcome on Polymarket, and those who attempt it will be identified,” positioning the platform as a test case for what “market integrity can look like in an on-chain world.”
The Chainalysis deployment builds on a March update in which Polymarket published enhanced Market Integrity Rules and highlighted a “multi-layered monitoring system” on its Polygon-based DeFi venue, where all holders in each contract and their positions are publicly viewable and suspicious activity can trigger reviews, bans, and referrals to law enforcement.
Upgrade, volumes, and pUSD collateral
The integrity rollout follows Polymarket’s April 28 exchange stack upgrade, described internally as its “most significant overhaul” to date, which introduced CTF Exchange V2 smart contracts, a rewritten central limit order book engine, and Polymarket USD (pUSD) as a new collateral token.
According to Polymarket’s documentation, pUSD is “a standard ERC-20 token on Polygon, backed 1:1 by USDC,” with the backing “enforced onchain by the smart contract — no algorithmic peg, no fractional reserve,” while all trading still settles in native USDC to improve capital efficiency at the settlement layer.
The platform is migrating off bridged USDC.e toward pUSD issued directly against Circle’s USDC, a shift Polymarket says is designed to cut failed trades, lower gas costs, and improve order management, with most users handled automatically via a one-time approval prompt and API traders required to reconfigure clients for the new contracts.
This infrastructure push is happening against a backdrop of explosive growth: Polymarket set a new all-time daily volume record of about $425 million on February 28, surpassing its prior high from the 2024 U.S. election, while February’s total volume topped $7 billion — roughly a 7.5x year-over-year jump, according to on-chain analytics cited by multiple research firms.
Regulatory and compliance pressure around prediction markets is intensifying as well, with recent analyses noting that by early 2026, platforms like Polymarket and Kalshi were outlining fresh insider trading controls and governance restrictions as the broader sector scaled toward roughly $21 billion in monthly volume, making robust surveillance a prerequisite for institutional participation.
Crypto World
Gemini Secures CFTC clearing license, gains full derivatives infrastructure
Gemini’s Olympus unit won CFTC clearing license enabling in-house derivatives infrastructure for futures, options, perpetuals, and prediction markets.
Summary
- License enables in-house clearing for futures, options, perpetual contracts and prediction markets
- Gemini received Derivatives Clearing Organization (DCO) license from CFTC on April 30, 2026
- Approval follows December 2025 Designated Contract Market (DCM) license for Gemini Titan subsidiary
Gemini announced April 30 that its affiliate Gemini Olympus received a Derivatives Clearing Organization (DCO) license from the Commodity Futures Trading Commission, positioning the exchange as one of few crypto-native platforms with complete regulatory infrastructure to operate derivatives clearing in the United States. The license allows Olympus to act as a clearinghouse for regulated derivatives trading, including prediction markets.
“Today marks a major milestone in Gemini’s marketplace expansion,” said Cameron Winklevoss, Gemini’s President. “In addition to our crypto spot marketplace, Gemini now has a full-stack, end-to-end marketplace for predictions as well as futures, options, and more.”
Regulatory Roadmap Complete
The DCO approval follows the CFTC‘s December 2025 designation of Gemini Titan as a Designated Contract Market, which enabled the launch of its predictions marketplace the same month. Gemini Titan will explore expanding its derivatives offering for U.S. customers to include crypto futures, options, and perpetual contracts.
According to The Block, Gemini is pursuing a futures commission merchant (FCM) license from the CFTC and working to obtain all derivatives-related licenses from the regulator. The company said it now has end-to-end trading infrastructure spanning spot crypto, prediction markets, futures and options.
Winklevoss described the DCO license as “a major building block for our super app, where users will be able to fulfill their existing and future financial needs all in one place”.
Crypto World
FCA Signs Off Rules to Bring Tokenized Funds into UK Regime
The United Kingdom’s financial regulator has signed off on new rules and guidance for tokenized funds, aiming to make it easier for asset managers to use blockchains within the existing fund regime rather than in separate experimental structures.
In a Thursday policy statement, PS26/7, the Financial Conduct Authority (FCA) said tokenization and distributed ledger technology (DLT) could make fund management more efficient and that it wants to “support innovation in the UK asset management sector,” as part of a digital assets roadmap first outlined in a January 2025 letter to the prime minister.
The changes give firms a clearer path to integrate blockchain into regulated fund operations, as policymakers seek to modernize market infrastructure without altering existing investor protection frameworks, and reflect a broader push to bring tokenized finance into the regulatory perimeter rather than allowing it to develop in parallel systems.
Simon Walls, executive director of markets at the FCA, said in the release that tokenization would “play an important role in asset management,” and that the regulator had delivered a practical framework to give firms confidence in how fund tokenization can operate within the FCA’s rules.
How tokenized funds move into the UK rulebook
PS26/7 allows firms to run investor records on DLT using the industry “Blueprint” model, confirming that onchain transaction records can serve as the primary books for unit deals without requiring a full off-chain duplicate, provided “appropriate resiliency plans” are in place.
Related: Coinbase rolls out UK crypto-backed loans as FCA shapes rules
The FCA said the Blueprint has already been used to authorize the first tokenized UK undertakings for collective investment in transferable securities (UCITS), and that authorized funds can maintain their register on public DLT networks if controls meet its standards, including issuing units across multiple blockchains as long as investors’ rights and charges remain consistent.

FCA guidance for fund tokenization. Source: FCA
The main rule change is an optional “Direct‑to‑Fund” (D2F) dealing model, where the fund or its depositary, rather than the manager, is the counterparty to investor trades. Deals go through a single step in which units are issued or canceled directly against cash moving between investors and the fund, a structure the FCA says is intended to make fund operations more efficient and easier to align with onchain settlement.
Looking ahead, the FCA sketches a roadmap that moves from today’s tokenized funds to tokenized assets and, eventually, tokenized cash flows, including models where investors hold tokenized assets in digital wallets and managers use smart contracts to manage them.
The regulator says it remains open to waivers so funds can use digital cash and stablecoins for settlement and certain expenses, and that it will seek further views in 2026 on wider use of DLT in wholesale markets
The policy statement comes after the FCA opened a consultation on guidance for its wider cryptoasset regime earlier this month, covering stablecoin issuance, trading, custody and staking, ahead of a full framework due to take effect in October 2027.
Cointelegraph reached out to the FCA for comment but had not received a response by publication.
Magazine: Singapore isn’t a ‘crypto hub’ — it’s something better: StraitsX CEO
Crypto World
ECB signals growing rate hike inclination as Lagarde stresses rising risks
Polymarket partners with Chainalysis to deploy on-chain surveillance targeting insider trading and manipulation as volumes hit $7B monthly and regulation intensifies.
Summary
- ECB kept rates unchanged at April 30 meeting but signaled potential June rate hike
- Lagarde emphasized intensifying risks to both inflation and economic growth
- Markets pricing approximately 50 basis points of tightening by year-end
The European Central Bank maintained interest rates unchanged at its April 30 meeting, but ECB President Christine Lagarde’s press conference remarks indicated a June rate hike has moved closer to reality, according to ING analyst Carsten Brzeski. Lagarde stressed that risks on both growth and inflation are intensifying, though the decision to keep rates steady was unanimous.
Brzeski noted the ECB has introduced a clear inclination towards rate hikes within its wait-and-see stance. Markets currently price approximately 50 basis points of tightening by year-end, with between 20 and 40 basis points anticipated by June.
Inflation Risks Tilt Upward
The ECB baseline projections see headline inflation averaging 2.6% in 2026, 2.0% in 2027 and 2.1% in 2028, revised higher from December primarily due to energy price pressures from the Iran war. Core inflation is projected at 2.3% in 2026, moderating to 2.2% in 2027 and 2.1% in 2028.
Lagarde warned that “the war in the Middle East has made the outlook significantly more uncertain, creating upside risks for inflation and downside risks for economic growth”. The ECB president told the IMF’s International Monetary and Financial Committee that the conflict “will have a material impact on near-term inflation through higher energy prices”.
ECB staff projections included adverse scenarios showing headline inflation potentially reaching 3.5% or even 4.4% in 2026 if energy supply disruptions persist. The deposit facility rate remains at 2.00%, with main refinancing operations at 2.15% and marginal lending facility at 2.40%.
Over half of economists polled by Reuters expect the ECB to hold rates April 30 but hike in June as war-driven inflation accelerates. According to Bloomberg, the anticipated quarter-point increase would likely be the only move as the conflict won’t cause a long-lasting price shock.
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China’s EV price war turns into AI arms race beyond cheaper cars
AI signage at the Robert Bosch booth at the Beijing Auto Show in Beijing, China, on Saturday, April 25, 2026.
Bloomberg | Bloomberg | Getty Images
BEIJING — Electric carmakers in China are layering on more of the same artificial intelligence features as they try to survive a prolonged price war in the world’s largest auto market.
The competition has shifted over the last few years, from extending battery range to rolling out driver-assist systems and using more powerful automotive chips. Now, automakers are focusing on a suite of in-car AI features.
More than 50 car brands now use ByteDance’s Doubao AI model, the company’s cloud platform Volcano Engine announced last Friday at the Beijing auto show, where the tech unit had a booth next to robotaxi company Pony.ai.
That means Doubao is in 145 car models and over 7 million vehicles, Volcano Engine said. Besides domestic vehicles, Doubao AI has also been integrated in new foreign-branded models, such as the all-electric Mercedes-Benz GLC, the SAIC Audi E7X and the SAIC Volkswagen ID. ERA 9X.
“We will keep on integrating new features faster,” Fermín Soneira, CEO of the Audi and SAIC Cooperation Project, told reporters this month ahead of the auto show. He noted how automakers can quickly deploy tech updates remotely, or “over-the-air.”
Despite the rapid rollout of new features, automakers face persistent pressure on sales.
“It’s going to remain tough, because the capacity is there,” he said. “This price war is not going to really stop in the next month.”

The shift towards AI reflects consumer demand for connected features, including Huawei-smartphone-compatible interfaces or voice-based assistants such as Doubao.
ByteDance’s Doubao is by far the most widely used AI chatbot in China, with more than 155 million weekly active users as of early this year, according to consultancy Chozan. Volcano Engine’s auto show booth included demos of both Chinese-language and English-language AI systems for cars.
The price war has turned into a feature war around cockpit technology, said Stephen Dyer, partner and managing director and head of AlixPartners’ Asia automotive and industrials consulting practice.
The challenge is, however, that much of that technology soon becomes similar, making it harder for companies to stand out.
Among the top 20 best-selling electric car models in China, those priced at 100,000 yuan ($14,645) or above offered similar driver-assist and in-car entertainment functions, according to AlixPartners.
With “technology, they’re going to have to race and keep racing, because it disseminates so quickly that you’re never going to be able to sustain a differentiated technology for long,” Dyer said.
Instead, he expects Chinese companies to start competing more on the “outside-of-the-car experience,” similar to luxury brands that offer exclusive lifestyle experiences.
Chinese automaker Nio, for example, offers its customers exclusive access to products and clubhouses, on top of vehicles featuring premium interior materials.
The Chinese electric car company has struggled with the cost of offering such perks and slower market growth. But Nio claimed last week its ES8 is the first car model in the industry’s 400,000 yuan-and-above segment to deliver 100,000 units in just 215 days.
Alibaba also announced Friday that its Qwen artificial intelligence model will be integrated into vehicles from automakers including BYD and a local joint venture of Volkswagen. The system allows drivers to order food delivery, book hotels, buy tickets to attractions and track packages, among other features, through voice commands.
The model will run on Nvidia‘s automotive chip system and is designed to function even with limited network connectivity.
At the end of the day, AI should run in the background to support the user experience, not necessarily be a feature of a vehicle, Tu Le, founder and managing director at consultancy Sino Auto Insights, told CNBC’s Eunice Yoon.
Even if it’s difficult for automakers to stand out in China, they may be able to compete more effectively with foreign peers.
“What we consider maybe simple features and like, standard features in mass market vehicles in the China market, are going to be expected in the Western market sooner rather than later as well,” Le said.
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Using intelligent strategies to profit more easily every day
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
AI trading adoption grows in 2026 as BsStrategy offers simplified access to automated crypto strategies.
Summary
- BsStrategy offers free AI trading automation, helping users execute strategies efficiently with minimal manual effort.
- AI-driven BsStrategy improves trading discipline by reducing emotional decisions and enabling 24/7 automated execution.
- BsStrategy lowers entry barriers with free access while delivering secure, optimized AI crypto trading workflows.
As the crypto asset market continues to grow, more users are looking for smarter, more efficient, and lower-barrier ways to trade. Traditional manual trading often requires long hours of market monitoring and can be affected by emotions, experience, and time limitations. In a digital asset market that operates 24/7, AI quantitative trading is becoming a new choice.
BsStrategy is a platform focused on AI quantitative trading and automated strategy execution. Powered by AI-driven optimization models, it aims to help users participate in the crypto market more easily. With security, efficiency, simplicity, and free access as its core features, BsStrategy allows users to experience intelligent trading without complicated configuration.
Register to receive a real reward worth $10
To lower the entry barrier for new users, BsStrategy provides a registration reward. Users only need to visit the official website and complete registration to receive a real reward worth $10, which can be used to start exploring the platform.
This mechanism allows users to understand the platform’s features, experience the AI strategy operation process, and further explore the practical value of intelligent trading without complex upfront costs.
One-click activation, no configuration required
Many users believe quantitative trading is complicated, requires professional knowledge, and involves setting many parameters. BsStrategy simplifies complex strategy logic and system configuration.
After registration, users can quickly activate AI quantitative strategies through the platform’s one-click activation feature. No programming, manual setup, or professional quantitative trading experience is required.
This means users can:
1. Avoid long hours of market monitoring
2. Avoid manual order placement
3. Avoid complicated setup
4. Start AI strategy experience with one click
BsStrategy aims to help more users enter the era of AI quantitative trading through a simpler operating process.
AI-driven optimization for unattended trading
The core highlight of BsStrategy lies in its AI-driven strategy optimization capability. Through AI models, market data analysis, and automated execution mechanisms, the platform helps users continuously run trading strategies within defined rules.
Compared with manual trading, AI quantitative trading can reduce emotional decision-making, improve execution efficiency, and keep strategies running in the 24/7 market. Users do not need to stay in front of the screen for long periods; the system can automatically process trading workflows according to strategy logic.
This unattended trading model is especially suitable for users who want to save time, reduce operational pressure, and improve trading discipline.
Completely free to use, lowering the participation barrier
BsStrategy supports completely free access. Users do not need to pay high software fees or purchase complicated trading tools to start experiencing AI quantitative trading features.
For new users, free access helps reduce trial costs. For users who want to learn more about AI automated trading over the long term, it also makes it easier to enter the platform ecosystem and continuously experience the efficiency improvements brought by intelligent strategies.
Balancing security and efficiency
For AI quantitative trading platforms, security is always a key concern for users. BsStrategy emphasizes secure operation, stable user experience, and clear processes in its product design, helping users participate in platform features with greater confidence.
At the same time, through automated strategy execution and AI optimization mechanisms, the platform improves trading workflow efficiency, freeing users from tedious manual operations and allowing them to focus more on strategy understanding, capital planning, and long-term participation.
Mobile and web app support
To meet different user habits, BsStrategy supports both mobile and web applications. Whether users want to check strategy status on a computer or access the platform anytime via mobile phone, they can enjoy a flexible and convenient experience.
Users can view account and strategy status at any time, manage platform operations more conveniently, and continuously follow trading progress across different devices.
Conclusion
In 2026, AI quantitative trading is becoming an important trend in the crypto asset market. For users who want to lower the entry barrier, reduce market-monitoring pressure, and experience automated trading and intelligent strategies, BsStrategy offers a platform worth exploring.
Register now to receive a real reward worth $10, activate strategies with one click, use the platform completely free of charge, and access it through both mobile and web applications.
BsStrategy makes AI quantitative trading safer, more efficient, and simpler.
For more information, visit the official website.
Disclosure: This content is provided by a third party. Neither crypto.news nor the author of this article endorses any product mentioned on this page. Users should conduct their own research before taking any action related to the company.
Crypto World
Bitcoin Stalls Below $77K As Spot Volumes, Leverage Decline
Bitcoin’s (BTC) attempt to trade above $77,000 have failed multiple times over the past week, despite traders managing a one-day breakout to $79,500. Data show short-term holders taking profits as the rally peaked, sending 150,000 BTC to exchanges since April 15.
Crypto analyst Darkfost noted the continued fragility among short-term holders (STHs), or wallets holding BTC for less than 155 days. As the price rose over the past two weeks, BTC transfers from these wallets to exchanges increased.
Three consecutive sessions saw 65,000 BTC, 54,600 BTC and 39,000 BTC sent to exchanges and these flows may have prevented Bitcoin from overtaking the resistance level at $80,000.

BTC short-term holder supply to exchanges. Source: CryptoQuant
Spot volumes also declined sharply. BTC activity has dropped to levels last seen in September 2023, near the end of the previous bear phase. Binance recorded a monthly decline of about $25 billion in volume. Gate.io also saw a $13 billion drop, while OKX volumes fell by roughly $6 billion.
This indicates weaker investor conviction to build spot exposure at current price levels. Darkfost explained,
“This contraction in volumes therefore reflects a temporary loss of interest in Bitcoin. While declining spot volumes can suggest negative short-term momentum, these phases of apathy are also often where new opportunities begin to emerge.”

BTC spot trading volume. Source: CryptoQuant
Related: Bitcoin Coinbase Premium threatens bear flag repeat with BTC price at $76K
Bitcoin needs fresh demand from leveraged traders
Bitcoin researcher Axel Adler Jr. highlighted a shift in liquidation pressure, with the seven-day oscillator turning positive and reaching +28.7 by April 30. Both the long and short positions have been squeezed more frequently, with total crypto liquidations reaching $604 million over the past 24 hours.

Bitcoin futures long-short liquidations dominance. Source: CryptoQuant
The shift supports the price in the near term. The 30-day average remains slightly negative, keeping the broader bias tied to prior long liquidations.
Open interest shows where traders’ urgency may be lacking. The seven-day average dropped to about 292,000 BTC from above 300,000 BTC. Around 8,000–9,000 BTC in leverage has been removed over the past 10 days, with daily changes still negative.
The price continues to press against $77,000, with no rise in participation. A stronger move higher would likely require open interest to increase and spot volumes to expand, signaling new capital entering the market rather than futures positions being forced to close.
Related: Bitcoin analysts explain why BTC price can’t take out $80K
Crypto World
US Senate Forbids Senators From Betting on Prediction Markets
The US Senate moved to bar members of Congress and their staff from participating in prediction markets, after a swift, unanimous vote to rewrite the chamber’s standing rules. The measure, approved by unanimous consent, immediately prohibits Senate officials from placing bets on markets that could hinge on information gained through their official duties.
Introduced by Republican Senator Bernie Moreno, the resolution frames the ban as a matter of public trust: “Engaging in any way in a prediction market or trying to place bets where we might have inside information deteriorates the confidence that our constituents have in us.” He added that “By changing the standing rules of the Senate, what we’re doing is allowing our constituents to know, once and for all, that no member of the United States Senate, no member of the staff of the United States Senate, can ever use that inside information as a way to monetize this job whatsoever.”
The decision comes as lawmakers weigh accusations of insider trading tied to public-affairs betting markets. In a related development, a special forces soldier connected to a plot to capture former Venezuelan President Nicolás Maduro was charged April 23 with using classified information to place bets on Polymarket; he has pleaded not guilty. soldier charged.
Senate Democratic leader Chuck Schumer underscored the moral dimension on the floor, saying that “of all the issues we debate in Washington, this falls clearly in the category of a ‘no-brainer.’” He warned that “We must never allow Congress to turn into a casino where members representing the public can gamble on wars, or economic crises, or elections.”
Republican Representative Ashley Hinson followed with a pledge to pursue a similar ban in the House, posting on X that she would introduce a comparable measure. posted on X.
Industry responses soon followed. Polymarket posted on X that it fully supported the Senate resolution and noted that its terms of service “already prohibit such conduct, but codifying this into law is a step forward for the industry.” Kalshi co-founder and CEO Tarek Mansour welcomed the development in a post on X, highlighting that Kalshi “already proactively blocks members of Congress and enforces against insider trading.” post.
For readers tracking the regulatory arc, Cointelegraph’s reporting has highlighted ongoing scrutiny of prediction markets and insider trading concerns. The current congressional move adds a formal, enforceable layer to the debate as lawmakers weigh the balance between free-market mechanisms and safeguarding public trust. Related coverage notes that industry players have faced renewed calls for stronger surveillance and governance frameworks.
Key takeaways
- The Senate unanimously approved a resolution changing its rules to ban members and staff from using prediction markets, effective immediately.
- The measure, introduced by Senator Bernie Moreno, frames the rule as vital to public trust and to prevent the monetization of inside information.
- The move follows concerns raised by recent cases, including a special forces soldier charged with using classified information to place bets on Polymarket; the defendant has pleaded not guilty.
- lawmakers signaled a broader push, with House Republicans indicating a similar ban could be pursued, signaling potential cross-chamber alignment on this issue.
Context and implications for the prediction-market ecosystem
Beyond the procedural shift, the resolution sits at the intersection of governance, insider-trading norms, and the evolving regulatory appetite toward prediction markets. The case involving a service member accused of leveraging classified information to bet on geopolitical outcomes has amplified concerns that some users could exploit public positions for financial gain. The Senate’s move effectively sets a floor for ethical conduct within federal offices and clarifies that participation in markets tied to policy outcomes will not be tolerated when sensitive information is at play.
Schumer’s remarks frame the issue as part of a broader stewardship challenge for Washington: the administration of credible, non-transparent gambling-like activity within institutions that wield real-world influence. His call to extend similar safeguards to the executive branch underscores a potential appetite for harmonized standards across government, a development that could influence how contractors, consultants, and civil servants engage with digital markets in the future.
From a market-structure perspective, the unanimous Senate action could reshape how participants approach political and macro-event bets. If other branches of government adopt comparable restrictions, prediction-market platforms may need to accelerate compliance tooling, enhance insider-trading detection, and tighten user vetting for public-sector users. Kalshi and Polymarket have already positioned themselves as enforcing stronger governance under existing terms of service; the newly codified rules could reduce the risk of regulatory backlash driven by perceived conflicts of interest.
Industry observers will also be watching the House’s response. If Ashley Hinson’s anticipated resolution gains traction, the United States could see a cross-chamber consensus on limiting official participation in prediction markets. This momentum could steer platform operators toward more transparent policies, stricter access controls, and more robust surveillance capabilities—aligning with broader efforts in the crypto and fintech sectors to separate governance from speculative activity tied to inside information.
Looking ahead, the practical questions center on enforcement mechanics and scope. How will the Senate translate the new rule into daily operations for staffers who rely on predictive tools for research and public-interest analysis? Will the House or administration push parallel standards, and how will platforms interpret and implement any new mandates without stifling legitimate hedging and research use? For investors and users, the development signals a continuing trend toward tighter governance in on-chain and off-chain prediction markets, with public trust as the decisive currency in the evolving regulatory landscape.
The next weeks will reveal whether Congress broadens the ban to the executive branch and how platforms adapt their compliance frameworks to meet any new statutory expectations. In the meantime, the core takeaway is clear: the line between informed governance and financial speculation is being drawn tighter, with Congress signaling that the integrity of official duties must remain insulated from market-based monetization.
Readers should watch for updates on whether the House formalizes a comparable prohibition, how platforms adjust their risk controls, and whether any new investigations or enforcement actions arise from the surge in interest around prediction-market governance. As the debate unfolds, the balance between innovation, user access, and public trust will remain at the heart of the discourse.
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