Crypto World
empowering retail investors with automated trading
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
AI trading bots gain wider retail adoption as investors seek automation in volatile 2026 markets.
Summary
- AI trading bots are helping retail investors manage faster, more volatile markets with automated execution.
- BulkQuant simplifies AI quantitative trading through automated strategies, portfolio tracking, and retail-friendly tools.
- The guide compares top AI trading bots for 2026, focusing on usability, risk control, and automation quality.
AI trading bots are no longer niche tools used only by technical traders. In 2026, they are becoming part of how retail investors manage faster, noisier, and more automated markets.
Crypto trades around the clock. Stocks react quickly to inflation data, earnings reports, ETF flows, liquidity shifts, and interest rate expectations. AI-related sectors can rotate sharply before many retail traders even have time to review the chart.
That creates a clear problem: most individual investors are not slow because they lack interest. They are slow because they are human. They sleep, work, hesitate, panic, chase momentum, and sometimes change strategy at the worst possible moment.
This is where automated trading becomes useful.
The best AI trading bots help retail investors build a more reliable trading process. They can monitor markets, execute strategies, track performance, and support risk management without requiring constant screen time.
But not every trading bot is worth using. A weak bot only adds another layer of confusion. A strong AI trading bot helps investors act with more structure, more visibility, and better control.
Below are five of the best AI trading bots for 2026, selected for retail investors who want practical automation instead of unnecessary complexity.
Why AI trading bots matter for retail investors in 2026
Retail investors used to compete mainly on information. Today, they also compete on execution.
A good market view is not enough if the trade is entered late, managed emotionally, or closed during panic. In fast markets, the difference between a good idea and a poor result is often the process behind the trade.
Manual trading often turns every price move into a decision. Should I enter now? Should I wait? Should I cut the trade? Should I add more? Should I stop the strategy after one bad day?
That constant pressure is where many retail traders lose discipline.
A good AI trading bot does not remove risk, guarantee profit, or replace judgment. What it can do is turn repeated trading decisions into a more organized system.
That is the real value of automated trading in 2026. The goal is not to stare at charts longer. The goal is to build a better process around execution, risk control, portfolio visibility, and strategy discipline.
Quick comparison overview
| Platform | Core Strength | Main Use Case | Most Suitable For |
| BulkQuant | Simplified AI-powered quantitative automation | Guided automated trading | Retail investors who want easier automation |
| Pionex | Built-in exchange bots | Grid and DCA bot trading | Beginners entering crypto automation |
| 3Commas | Advanced customization | Strategy-based bot control | Active and experienced traders |
| Cryptohopper | Strategy marketplace and cloud bots | Testing automated approaches | Intermediate users refining strategies |
| Bitsgap | Multi-exchange visibility | Portfolio and bot management | Investors using several crypto exchanges |
How we selected these AI trading bots
The best AI trading bot is not always the one with the longest feature list.
For retail investors, too many settings can become another source of risk. A platform may look powerful, but if the user does not understand what the bot is doing, automation quickly becomes a black box.
This guide focuses on practical value. A strong platform should make trading easier to manage, not harder to understand. It should help users see what is happening, control risk, monitor performance, and stay consistent when markets become unstable.
The five platforms below were selected because each one solves a different problem for retail investors. BulkQuant focuses on simplified AI quantitative automation. Pionex lowers the first barrier for beginners. 3Commas gives active traders deeper control. Cryptohopper provides room for testing and learning. Bitsgap helps investors manage trading activity across multiple exchanges.
That difference matters because there is no single “best” bot for every investor. The right choice depends on what is missing in the investor’s current trading process.
1. BulkQuant
New users can claim a $10 real reward and a $50 trial credit for free!
BulkQuant is one of the strongest AI trading bots for retail investors who want automated trading without turning the process into a technical project.
Many platforms claim to offer AI automation, but the setup often becomes complicated very quickly. Investors may be asked to configure indicators, connect APIs, adjust trading pairs, set stop rules, select strategy logic, and monitor several dashboards before they understand how the system actually behaves.
That may be fine for experienced traders. For many retail investors, it creates friction before automation even begins.
BulkQuant takes a cleaner approach. It focuses on AI-powered quantitative trading, automated execution, real-time portfolio visibility, and adaptive market participation in a more retail-friendly environment.
Its advantage is not that it gives users endless controls. Its advantage is that it makes AI quantitative automation easier to use consistently.
Why BulkQuant stands out
BulkQuant treats automated trading as a complete investment workflow, not just a trade execution feature.
That difference is important. A basic bot may place orders faster, but speed alone does not solve the real problem for most retail investors. The real problem is inconsistency.
A trader may enter too late after watching a move unfold. They may exit too early after a small pullback. They may increase risk after a loss because they want to recover quickly. They may abandon a strategy after one volatile day.
BulkQuant is built for investors who want to reduce that kind of decision pressure. By combining AI-driven market analysis, automated monitoring, simplified controls, and clearer performance visibility, it helps users stay closer to a structured process.
This makes it especially useful for investors who want exposure to AI trading and quantitative automation but do not want to become full-time strategy builders.
Automation and market adaptability
Markets in 2026 rarely move in a straight line.
One week may reward momentum. Another may punish it. A strategy that works during a clean trend can behave very differently during sideways volatility or sudden liquidity shocks.
BulkQuant is designed to adjust trading activity based on changing market behavior, including volatility, liquidity, and momentum conditions. That makes it more useful than rigid bots that repeat the same actions in every environment.
For retail investors, this matters because most users cannot monitor the market every hour. They need a system that can respond to changing conditions without requiring constant manual intervention.
User experience
BulkQuant is strongest when automation needs to feel clear and manageable.
The platform gives users a direct way to follow automated trading activity, portfolio behavior, and performance without burying them under unnecessary technical settings. That makes it suitable for beginners, passive investors, and mobile-first users.
BulkQuant is not trying to be the most complex trading platform. Its strength is making AI-powered quantitative trading easier to understand and easier to maintain over time.
2. Pionex
Pionex is one of the easiest entry points into automated crypto trading because its bots are built directly into the exchange environment.
That simplicity solves a real beginner’s problem. Many new users are interested in AI trading bots, but the first step feels too technical. They may need an exchange account, a separate bot platform, API permissions, security settings, and strategy configuration before they even place a trade.
Pionex removes much of that friction.
Its built-in grid trading bots and DCA bots give users a straightforward way to explore automated crypto trading without building a system from scratch.
Why Pionex stands out
Pionex works because it makes bot trading feel less intimidating.
For beginners, that matters. A new investor usually does not need a platform with hundreds of advanced settings. They need to understand what the bot is doing, how the strategy behaves, and how to manage it without feeling lost.
Grid bots can be useful when prices move within a range. DCA bots help users build positions gradually instead of entering all at once. These are simple structures, but they give retail investors a more organized alternative to emotional buying and selling.
Pionex is not the most advanced AI trading platform. Its value is that it makes the first step into automation easier.
Where Pionex fits best
Pionex works best for users who want simple crypto automation inside a familiar exchange-style environment.
It is especially useful for beginners who want to experience how bots behave before moving into more flexible or technical platforms.
The limitation is clear: Pionex is not built for deep customization or advanced strategy design. Its strength is accessibility. For a beginner, that can be exactly what is needed.
Too much flexibility too early often leads to poor decisions. Pionex keeps the starting point simple.
3. 3Commas
3Commas is built for traders who want more control.
This is not the platform a beginner should choose just because it looks powerful. Its real value appears when the user already has a trading framework and needs a more precise way to automate entries, exits, position management, and risk rules.
For experienced retail traders, that level of control can be valuable.
3Commas supports multi-exchange trading, advanced bot settings, take-profit rules, stop-loss tools, trailing features, and detailed strategy configuration. It is designed for users who want to shape the automation rather than simply activate it.
Why 3Commas Stands Out
3Commas gives active traders the ability to turn manual trading ideas into repeatable systems.
That is its biggest advantage. A trader who already understands position sizing, trend behavior, stop placement, and profit-taking can use 3Commas to make the execution process more consistent.
The platform is flexible enough to support different trading styles. Users can customize how bots enter positions, manage exits, respond to price movement, and operate across exchanges.
This makes 3Commas powerful, but that power comes with responsibility.
Where 3Commas fits best
3Commas works best when the user already knows what they want to automate.
Without a clear strategy, advanced settings can create false confidence. A trader may think they have built a sophisticated system when they have only automated a weak idea.
That is the key point with 3Commas: automation makes a strong process more efficient, but it can also make a bad process fail faster.
For active traders with real strategy discipline, 3Commas can be one of the most useful platforms on this list. For beginners looking for a simple start, it may be too much too soon.
4. Cryptohopper
Cryptohopper sits between beginner-friendly automation and advanced strategy control.
Its appeal comes from flexibility. The platform supports cloud-based bots, templates, marketplace strategies, and copy-trading features. This makes it useful for users who want to test automated trading approaches without building everything from zero.
Cryptohopper is best understood as a trading laboratory. It gives users a place to explore different ideas, compare strategy behavior, and learn how automation performs under real market conditions.
Why Cryptohopper stands out
Cryptohopper is valuable because it encourages experimentation.
Many retail investors enter bot trading with the wrong mindset. They look for a strategy to copy, hoping that someone else’s settings will solve the problem. That rarely works for long.
Markets change. A strategy that performed well in one environment may struggle in another. A bot that looks strong during a trend may behave poorly during sideways volatility.
Cryptohopper gives users access to templates and marketplace tools, but its real value is not blind copying. Its value is helping traders observe, test, adjust, and learn.
Used correctly, it can help investors develop a sharper understanding of automated trading.
Where Cryptohopper fits best
Cryptohopper is most useful for investors who have moved beyond basic bots but are not ready to build fully customized systems independently.
Its cloud-based structure is also practical for crypto markets because bots can continue running without the user keeping a device active.
The platform is best for users who want flexibility and are willing to think critically about strategy performance. It is less suitable for investors who simply want to copy a strategy and stop paying attention.
Cryptohopper provides tools. The user still needs judgment.
5. Bitsgap
Bitsgap is best understood as a multi-exchange trading and portfolio automation platform.
Many crypto investors eventually spread activity across several exchanges. They may use different platforms for liquidity, fees, regional access, specific assets, or trading tools. Over time, that creates a fragmented trading environment.
At that stage, the problem is not simply placing more trades. The bigger problem is seeing the full picture.
Bitsgap helps bring that activity into one more organized system.
Why Bitsgap stands out
Bitsgap becomes valuable when a trader’s capital and activity are spread across multiple venues.
For multi-exchange users, visibility can be just as important as automation. It is difficult to manage risk well when balances, open trades, bot activity, and performance data are scattered across different accounts.
Bitsgap helps centralize that view.
It gives users a clearer way to track portfolios, manage bots, and monitor trading activity across exchanges. That makes it useful for investors whose crypto activity has become too complex for a single exchange dashboard.
Where Bitsgap fits best
Bitsgap offers grid bots, DCA tools, arbitrage-related features, and portfolio tracking. The platform is strongest when users need both automation and account visibility.
It may not be the most direct choice for someone who only wants one simple beginner bot. Pionex may feel easier in that case. BulkQuant may feel more guided for users who want simplified AI quantitative automation.
Bitsgap becomes more valuable as trading activity expands. For retail investors managing several crypto accounts, it can turn scattered activity into a clearer operating system.
Matching the right bot to the right trading style
Choosing the right AI trading bot is not about finding the platform with the most impressive feature list. It is about identifying the weakest part of the investor’s current trading process.
If the problem is complexity, a guided platform like BulkQuant may be more useful than a tool filled with advanced controls. If the problem is getting started, Pionex lowers the first barrier by placing bots directly inside the exchange environment. If the problem is execution precision, 3Commas gives experienced traders deeper control. If the goal is to test and learn, Cryptohopper provides a flexible environment for strategy experimentation. If the challenge is managing several exchanges, Bitsgap brings visibility and organization.
This is the mature way to evaluate AI trading bots.
A retail investor who overtrades does not need more buttons. They need a process that slows down bad decisions. A trader using several exchanges does not need more noise. They need a clearer view of where capital and risk are sitting. A beginner does not need maximum customization. They need a path into automation that is easy to understand. An experienced trader does not need a simplified app. They need control that matches the strategy they already use.
When the platform fits the user’s behavior, automation becomes useful. When it does not, automation becomes another source of confusion.
What separates a good AI trading bot from a weak one
Many platforms can execute trades automatically. That alone is no longer impressive.
A good AI trading bot improves the trading process. It helps users understand what is happening, monitor performance clearly, control exposure, and stay consistent when market conditions change.
A weak bot does the opposite. It hides too much, encourages blind trust, overcomplicates simple decisions, or pushes users toward strategies they do not understand.
This is especially important in 2026 because the phrase “AI trading bot” is everywhere. Some platforms use AI meaningfully. Others use the phrase because it sounds modern.
Retail investors should look beyond the label.
The better question is not “Which bot can trade automatically?” The better question is “Which bot helps me trade with a stronger system?”
That shift separates serious automated trading from casual speculation.
Frequently asked questions about AI trading bots in 2026
What is the best AI trading bot for retail investors in 2026?
The best AI trading bot depends on the investor’s trading style.
BulkQuant is compelling for users who want simplified AI quantitative automation without heavy technical setup. Pionex is a practical starting point for beginners entering crypto bot trading. 3Commas is better for experienced traders who want advanced control. Cryptohopper is useful for testing and refining automated strategies. Bitsgap is strongest when users need multi-exchange visibility and portfolio organization.
There is no single best platform for every investor. The right choice depends on whether the user needs simplicity, control, experimentation, or better visibility.
Are AI trading bots useful for beginners?
Yes, but beginners should not choose a platform only because it looks advanced.
A beginner-friendly AI trading bot should make the first stage of automation understandable. Users should be able to see what the bot is doing, when it trades, how risk is controlled, and how to stop or adjust the system if needed.
For beginners, the first goal is not to automate everything. The first goal is to understand how automation behaves in real market conditions.
Can AI trading bots help retail investors compete with institutions?
AI trading bots cannot give retail investors the same capital, data access, or infrastructure as large institutions.
But they can reduce some disadvantages. They help retail investors monitor markets more consistently, reduce emotional decisions, execute faster, and build more systematic trading habits.
That does not make retail traders equal to institutions. It does give them better tools than manual trading alone.
Are AI trading bots only for crypto?
No. Many AI trading bots and automated trading platforms support crypto, stocks, forex, ETFs, or multi-asset strategies.
Crypto remains one of the strongest use cases because it trades 24/7 and often moves quickly. For retail investors who cannot monitor markets all day, crypto automation can be especially useful.
Can AI trading bots reduce emotional trading?
Yes, but only when used correctly.
A trading bot can follow predefined rules, reduce panic reactions, and prevent some impulsive decisions. But users can still behave emotionally if they constantly change settings, stop bots after every small drawdown, increase risk after losses, or chase short-term performance.
Automation supports discipline. It does not replace discipline.
Are AI trading bots profitable?
AI trading bots can improve execution and consistency, but profitability depends on strategy quality, market conditions, risk management, platform reliability, and user behavior.
A bot does not make a weak strategy strong. It only makes the strategy run faster and more consistently. That is useful when the strategy is sound, and dangerous when the strategy is poorly designed.
A bot is not a profit machine. It is an execution system.
What should retail investors look for in an AI trading bot?
Retail investors should look for clarity first.
A good AI trading bot should make it easy to understand what the system is doing, how performance is tracked, how risk is managed, and how the user can stop or adjust activity when needed.
Features matter, but control matters more. The best AI trading bot should make the trading process cleaner, not more confusing.
Why are AI trading bots becoming more popular in 2026?
AI trading bots are becoming more popular because markets are faster, more volatile, and harder to manage manually.
Retail investors need tools that support continuous monitoring, faster execution, portfolio visibility, and more consistent decision-making. In that environment, automated trading is becoming less of a luxury and more of a practical advantage.
Final thoughts
AI trading bots are becoming more important because retail trading itself is changing.
The next generation of retail investors will not compete by staring at charts for longer hours. They will compete by building better systems around execution, risk control, portfolio visibility, and decision-making.
That is where automated trading has real value.
BulkQuant is compelling for investors who want AI quantitative automation without turning trading into a technical project. Pionex lowers the first barrier for beginners entering crypto bot trading. 3Commas gives experienced traders the control needed to automate more advanced strategies. Cryptohopper creates space for testing and refining different automated approaches. Bitsgap helps investors bring order to multi-exchange crypto activity.
None of these platforms should be treated as a replacement for judgment. The stronger way to use an AI trading bot is to treat it as infrastructure: a system that helps investors act with more consistency when markets become fast, noisy, and emotionally difficult.
For retail investors in 2026, the real advantage is not trying to predict every market move. It is building a trading process that remains clear, disciplined, and manageable even when markets become volatile.
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
Solana perpetuals enter Kalshi as DOGE and SHIB await approval
Kalshi has added Solana perpetual futures to its regulated crypto derivatives lineup, while several other altcoin contracts, including Dogecoin and Shiba Inu, remain under regulatory review.
Summary
- Kalshi has launched Solana perpetual futures, expanding its CFTC-regulated American Perpetuals lineup.
- DOGE, SHIB, XLM, and HBAR perpetual contracts are still awaiting final approval before launch.
- The rollout comes as the CFTC develops new rules for reviewing prediction market contracts.
According to a June 10 post by Kalshi on X, SOL perpetual futures are now available for trading on the platform. The company also said traders can access the new contract without paying trading fees for a limited time.
The launch expands Kalshi’s American Perpetuals product suite, which offers perpetual futures contracts under the supervision of the U.S. Commodity Futures Trading Commission. Unlike traditional futures, perpetual contracts do not have expiration dates, allowing traders to maintain positions without regularly rolling contracts into new maturities.
Solana joins Bitcoin, Ethereum and XRP contracts
Following the rollout of Bitcoin, Ethereum, and XRP perpetual futures, Solana has become the latest cryptocurrency added to Kalshi’s regulated derivatives offering.
Information shared by the company indicates that both XRP and Solana perpetual futures have now cleared the necessary regulatory process. Kalshi had previously submitted filings covering several digital assets, including Stellar, Dogecoin, Shiba Inu, and Hedera.
According to Kalshi, contracts tied to XLM, DOGE, SHIB, and HBAR are expected to be introduced in the coming days as approvals continue to progress. The company has also filed for perpetual futures linked to Hyperliquid, though no launch date has been announced.
By adding another large-cap cryptocurrency to its product lineup, Kalshi is continuing its effort to expand access to perpetual futures trading within a regulated U.S. market structure.
Regulatory scrutiny remains active across prediction markets
The expansion comes as the CFTC considers changes that could alter how prediction market operators and related financial products are reviewed in the United States.
As previously reported by crypto.news, the regulator has proposed a framework that would establish a formal process for evaluating event-based contracts individually rather than applying restrictions across entire categories. Under the proposal, regulators would assess whether specific contracts meet public-interest standards before determining whether they can remain available to traders.
Details outlined in the proposal show that certain sports-related markets could receive additional scrutiny, particularly contracts tied to player injuries and highly specific in-game events. Contracts connected to wars, terrorism, political violence, and assassinations could also face closer examination under the framework.
According to crypto.news, the proposed rules are particularly relevant for prediction market platforms such as Kalshi and Polymarket, both of which have experienced strong growth in trading activity as interest in event-based markets has increased.
While the CFTC continues evaluating those proposals, Kalshi is moving ahead with new crypto products. The addition of Solana perpetual futures places another major digital asset on the platform as the company prepares to roll out several pending altcoin contracts awaiting final approval.
Crypto World
Shotgun.fun Launches as the First Trading Terminal With 100% Cashback
Shotgun.fun, a new trading terminal, launches today with a model that returns every fee back to the trader, ending an industry standard that has quietly extracted billions.
Every trade ever placed has made someone else money: not the market and not the protocol, but the terminal sitting between traders and execution. The fee paid on every buy, every sell, and every limit order became the status quo. Shotgun’s the paradigm shift.
Shotgun.fun is a high-performance trading terminal that returns up to 100% of trading fees to traders. Cashback starts at 50%, already higher than any other trading terminal offering, and scales with volume. Tiers are built to unlock fast. Getting to 100% is not an out-of-reach theoretical ceiling, it’s the destination.
The terminal is fully non-custodial, secured through Turnkey, ensuring keys are encrypted and accessible only to the user.
Shotgun arrives fully loaded:
- Trenches displays new launches, graduating tokens, and fresh migrations in real time, ahead of broader market visibility.
- Trader Discovery helps users find the best traders in the space and copy their moves in real time.
- Instant Trade adds one-click trading directly on the chart, no distractions.
- Limit Orders enable autopilot trading from buying the dip to stop loss, take profit, and trailing stop loss.
- Multi-Wallet Management helps users bring all their wallets into a single interface. Full control, zero friction.
- Portfolio captures full historical performance of every wallet, every token, every profit and loss.
Insiders have extracted hundreds of millions from everyday traders across recent token launches. Shotgun aims to even the playing field by shining a light on insider wallets, helping users view their trades and copy their moves in real time.
Shotgun also comes packed with a referral program that offers up to 50% revenue share across five layers of referrals, meaning users earn when their referrals trade.
Shotgun is led by Miguel Loures and Pedro Maurício, the founding team behind Pulsar Finance, a portfolio manager backed by Delphi Ventures that grew to more than one million users before being acquired by Terraform Labs. The team has been building in this space since 2020.
“Until now, traders have been treated as the product, not as users,” said Miguel Loures, founder of Shotgun. “We built Shotgun to give the power back to the people.“
Shotgun launches with support for Solana, with more blockchains and agentic trading coming soon.
About Shotgun
Shotgun.fun is a non-custodial trading terminal built for traders. Up to 100% cashback, enterprise-grade execution, and a full suite of tools built for speed, instinct, and being first.
More information available at:
Website: https://shotgun.fun/
Twitter/X: https://x.com/shotgundotfun
The post Shotgun.fun Launches as the First Trading Terminal With 100% Cashback appeared first on BeInCrypto.
Crypto World
BlackRock and Fidelity are quietly turning bitcoin ETFs into a two-firm market
When U.S. spot bitcoin exchange-traded funds (ETFs) launched in January 2024, investors had more than a dozen funds to choose from. BlackRock, Fidelity, Ark Invest, Bitwise, VanEck, Franklin Templeton and several others entered what many expected would become a fiercely competitive market.
Eighteen months later, the battle increasingly looks like a two-player race.
Data shows that BlackRock’s iShares Bitcoin Trust (IBIT) and Fidelity’s Wise Origin Bitcoin Fund (FBTC) are doing most of the heavy lifting when it comes to attracting new institutional capital, while smaller funds have become largely irrelevant in determining the direction of the overall market.
The trend was evident throughout the first half of 2026.
On January 14, bitcoin ETFs recorded net inflows of $840.6 million, according to data from Farside Investors. IBIT alone accounted for $648.4 million of that total, while FBTC added another $125.4 million. Together, the two funds represented more than 90% of all inflows that day.
A similar pattern appeared on April 17, when total inflows reached $663.9 million. IBIT brought in $284 million and FBTC added $163.4 million, accounting for roughly two-thirds of all new money entering the sector.
Even during periods of weaker sentiment, the dominance of the two largest funds remained apparent. On May 1, total inflows reached $629.8 million, with IBIT contributing $284.4 million and FBTC adding $213.4 million. Combined, the pair attracted nearly $500 million of the day’s total. The pattern repeated throughout much of 2026, with the two funds frequently accounting for the majority of net inflows on the largest allocation days and often offsetting weakness elsewhere in the ETF market.
The concentration has emerged during a difficult year for bitcoin and the broader crypto ETF market. Bitcoin is down roughly 29% year-to-date, a decline that has tested institutional conviction and triggered several waves of ETF redemptions. Between mid-May and early June alone, spot bitcoin ETFs recorded multiple days of heavy outflows. The selling marks a sharp contrast to earlier periods when investors often viewed bitcoin pullbacks as buying opportunities.
But the data highlights a broader shift taking place in the bitcoin ETF market in which investors increasingly appear to be concentrating their allocations in the largest and most liquid vehicles.
That trend has particularly benefited BlackRock.
IBIT has emerged as the flagship product of the entire spot bitcoin ETF sector, regularly posting the largest inflows and often acting as a stabilizing force during periods of market stress. On several days when the broader ETF complex experienced heavy outflows, IBIT either remained positive or saw far smaller redemptions than its competitors.
The dominance is not entirely surprising. Many of the largest buyers of bitcoin ETFs are financial advisers, registered investment advisers, hedge funds, family offices, pension consultants and institutional asset allocators. For those investors, liquidity, trading volume and issuer reputation often matter as much as the underlying bitcoin exposure itself.
BlackRock manages more than $10 trillion in assets globally and maintains relationships with thousands of wealth-management platforms. Fidelity, one of the largest retirement and brokerage providers in the U.S., brings similar advantages through its distribution network and long-standing presence among retail and institutional investors.
As a result, many allocators increasingly view IBIT and FBTC as the default options for gaining bitcoin exposure.
The flip side is that smaller issuers are struggling to remain relevant.
Funds such as Franklin Templeton’s EZBC, VanEck’s HODL, Valkyrie’s BRRR and WisdomTree’s BTCW frequently record daily flows measured in single-digit millions of dollars.
On many trading days, their contributions are so small that they have little impact on the overall direction of the market.
Even funds that were once viewed as major competitors, including Bitwise’s BITB and Ark’s ARKB, now play a secondary role compared with the industry’s two largest products. Earlier this year, Trump Media & Technology Group withdrew plans for a proposed spot bitcoin ETF, abandoning an effort to enter the increasingly crowded market that is now dominated by products from BlackRock and Fidelity.
The concentration has become particularly noticeable during periods of volatility. When investors buy bitcoin ETFs aggressively, most of the money flows into BlackRock and Fidelity.
When investors sell, the behavior of those two funds often determines whether the sector posts net inflows or outflows.
That dynamic suggests the bitcoin ETF market is entering a new phase. Rather than a broad competition among a dozen issuers, the industry increasingly resembles a winner-take-most business where scale, liquidity and distribution drive investor decisions.
Crypto World
Onchain Gambling Defies Crypto Pullback With $14B Quarter: TRM Labs
Prediction markets overtook onchain gambling for the first time in the opening quarter of 2026, recording $36.6 billion in volume compared with gambling’s $14 billion, according to TRM Labs.
In a Wednesday report, the blockchain intelligence company said the shift followed a rapid expansion in both sectors. Onchain gambling reached $51 billion in 2025, while prediction markets climbed to $54 billion, putting the two categories at comparable scale heading into 2026.
Still, onchain gambling remained near record levels. Quarterly gambling volume reached an all-time high of $15 billion in the fourth quarter of 2025, then held at $14 billion in Q1 2026.
Neither onchain gambling nor prediction markets retreated along with the broader crypto markets. Volumes remained elevated through the 2025-2026 market correction.

Annual onchain wagering volume. Source: TRM Labs
A TRM Labs spokesperson told Cointelegraph that gambling volumes have surged during the recent market pullback because of the “sticky and expanding activity of a loyal user base.”
“This does not mean anything about concentration risk in itself, since there is quite a large gambling user base,” the spokesperson said. “It shows how a consistent user activity can insulate an industry from a market pullback and in fact drive growth.”
Gambling and prediction markets face different risks
TRM said gambling platforms and prediction markets are increasingly converging on shared stablecoin infrastructure, but their financial crime risks remain distinct.
Prediction markets such as Polymarket and Kalshi operate as peer-to-peer markets for binary outcomes, while gambling platforms such as Stake, WINk and Rollbit operate more like traditional casinos, with the platform setting odds and maintaining a house edge.
Related: Chainalysis, South Korean police link up to fight crypto crime
TRM said prediction markets have attracted scrutiny over insider trading, while gambling platforms are more exposed to money laundering risks.
“Gambling services and prediction markets carry distinct inherent financial crime risks, and firms should calibrate controls accordingly,” a TRM Labs spokesperson told Cointelegraph.
Casual bettors drive growth alongside whales
TRM said more than 2 million personal wallets interacted with gambling platforms between January 2022 and March 2026.
The firm divided those users into five behavioral groups. “Dabblers” made five or fewer transactions and disappeared within a month, while “Casual Bettors” averaged 18 transactions across eight active days. “Event Chasers” returned around major sporting events, while “Daily Grinders” gambled on at least 30% of the days in their active tenure. “High Rollers,” the highest-value cohort, averaged $13,558 per bet and $378,000 in lifetime gambling volume.
The firm found that volume remains heavily concentrated among high-value users, with High Rollers representing 6.3% of personal gambling wallets but driving 91.8% of personal wallet gambling volume since 2022.
Despite this, TRM said the fastest-growing user categories are not only high-stakes bettors. Casual Bettors’ monthly volume rose from $17 million in January 2022 to $188 million by March 2026, while Daily Grinders’ volume increased 12x over the same period.
Magazine: Vietnam preps crypto pilot, HK pushes tokenization: Asia Express
Crypto World
Anchorage Backs GENIUS AML Rules, Seeks Clarity on Secondary-Market Sanctions
Anchorage Digital, a federally chartered crypto bank and provider of stablecoin infrastructure, has submitted a public comment letter in support of the U.S. Treasury Department’s proposed AML and sanctions framework for the GENIUS Act. The firm contends that the framework largely balances compliance requirements with innovation in digital payments, while also urging the Treasury to clarify several open points that could influence operational risk and regulatory certainty for issuers and their counterparties.
In the filing, Anchorage argues that the proposed rules appropriately place AML obligations on regulated stablecoin issuers while requesting guidance on secondary-market sanctions liability, the scope of enterprise-wide AML programs, and correspondent-account requirements. The firm also cautions against imposing strict liability on issuers for failing to independently identify sanctioned users who transacts through smart contracts on secondary markets.
“A final rule that is clear and workable gives regulated institutions the certainty they need to build, and strengthens U.S. leadership in the next generation of payments and settlement infrastructure,” Anchorage stated in its letter.
The public comment letter comes as the Treasury, together with the Financial Crimes Enforcement Network (FinCEN) and the Office of Foreign Assets Control (OFAC), advances a rulemaking aimed at classifying payment stablecoin issuers as financial institutions under the Bank Secrecy Act. The proposed framework would subject issuers to AML obligations, customer due diligence, and suspicious-activity reporting, with enhanced monitoring and recordkeeping required for stablecoins that operate across borders and through programmable technologies.
The policy, described in a Treasury release, would align stablecoin issuers with established AML and sanctions standards while imposing additional compliance expectations designed to address the unique risks posed by programmable money. The regulatory push is part of a broader effort to integrate digital-asset payments into the U.S. financial-regulatory perimeter, including cross-border considerations and enforcement expectations.
The discussion has drawn mixed responses from industry participants. Several trade and advocacy groups have urged broader carveouts or clarifications, reflecting a spectrum of views on how expansive the sanctions and AML obligations should be for issuers with limited direct visibility into user activity on secondary markets.
Key takeaways
- The GENIUS Act framework would classify payment stablecoin issuers as financial institutions under the Bank Secrecy Act, placing them under AML, customer due diligence, and suspicious-activity reporting regimes, with enhanced monitoring requirements.
- Anchorage Digital publicly supports the framework’s core aims but seeks clarifications on secondary-market sanctions liability, enterprise-wide AML program standards, and correspondent-account requirements to avoid unnecessarily broad obligations.
- Anchorage argues issuers should not face strict liability for failing to independently identify sanctioned users transacting via secondary-market smart contracts.
- Industry groups such as Hyperliquid and Paradigm have submitted comments pressing for greater clarity around secondary-market obligations, arguing the current framework could impose sanctions liability on issuers even in the absence of direct visibility into end users.
- Regulatory timing and final rule design will influence how stablecoin issuers, banks, and service providers structure compliance programs, with potential cross-border implications and alignment questions relative to other jurisdictions, including MiCA in the European Union.
Regulatory context and focal points
The proposed rulemaking, issued jointly by FinCEN and OFAC and highlighted by Treasury officials, would place regulated stablecoin issuers within the existing U.S. AML/Sanctions framework. The plan envisions formalizing stablecoin issuers as financial institutions under the Bank Secrecy Act, thereby obligating them to implement robust AML programs, conduct customer due diligence, and report suspicious activity. In parallel, the framework would impose enhanced monitoring and recordkeeping requirements to help regulators track and mitigate illicit finance risks associated with programmable payments and cross-border settlement.
Anchorage’s submission emphasizes practical considerations for regulated institutions seeking to deploy stablecoin rails at scale. The firm notes that a rule that is clear, predictable, and implementable would foster innovation in digital payments infrastructure while preserving strong compliance standards. The emphasis on clarity around secondary-market liability reflects ongoing debates about how to apply sanctions regimes to the decentralized aspects of programmable money, where user relationships may be indirect or opaque to issuers.
Industry responses and carveout debates
Not all industry voices view the GENIUS Act framework as a straightforward alignment with existing anti-money-laundering and sanctions regimes. In addition to Anchorage, the lobbying arms of Hyperliquid and venture-capital firm Paradigm recently submitted their own comments challenging certain aspects of the proposal. They argued that the current framework could extend sanctions obligations to issuers even when those issuers lack direct relationships with, or visibility into, the end users transacting on secondary markets via smart contracts.
According to these groups, OFAC’s approach risks treating secondary-market activity as a continuous provision of services by the issuer, thereby broadening sanction liabilities beyond what issuers can reasonably monitor or control. The concerns echo broader policy questions about where responsibility should lie when financial instruments and protocols enable peer-to-peer transactions without traditional, on-chain counterparty visibility.
Implications for policy, enforcement, and cross-border regimes
The GENIUS Act discussion sits at the intersection of domestic regulatory design and international policy harmonization. For U.S.-based crypto firms, the proposed rules could reshape licensing, risk management, and oversight frameworks, prompting issuers to invest in comprehensive AML programs and governance structures that integrate smart-contract activity with traditional compliance controls. Banks and other regulated entities servicing stablecoins may also need to adjust their correspondent-banking and anti-financial-crime policies to reflect the newly defined risk landscape.
From a broader perspective, policymakers must reconcile these developments with ongoing regulatory initiatives in other jurisdictions. The EU’s MiCA framework represents a contrasting approach to stablecoins and crypto-asset service providers, underscoring global differences in how regulators address stablecoin issuance, payment settlement, and cross-border settlement rails. As U.S. and international authorities pursue parallel aims—reducing illicit finance risk while enabling financial innovation—the final design of GENIUS Act rules could influence cross-border collaborations, licensing pathways, and the allocation of enforcement resources among agencies such as the SEC, CFTC, and DOJ, in addition to FinCEN and OFAC.
Legal and compliance teams at issuers, exchanges, and financial institutions will be watching for how the final framework defines secondary-market exposure, the level of issuer visibility required to meet sanctions obligations, and the granularity of enterprise AML programs. As enforcement expectations evolve, firms may face increased reporting, recordkeeping, and governance demands, with potential implications for cross-border operations and banking relationships.
Closing perspective
While the GENIUS Act proposals mark a significant step toward integrating stablecoins into the U.S. financial-regulatory perimeter, the path to final rules will hinge on clear definitions of issuer liability, the scope of AML program requirements, and practical considerations for secondary-market activity. The diverse industry responses underscore that the sector seeks a balanced framework—one that reinforces compliance and national security objectives without stifling technological advancement or limiting access to regulated, resilient digital payments infrastructure. Monitoring the forthcoming rulemaking and regulator guidance will be essential for institutions shaping their governance and risk management programs in this evolving landscape.
Crypto World
Ethereum (ETH) developers are exploring new token standards as privacy returns to focus
For years, privacy in transacting was one of crypto’s most ambitious promises. Then it took a back seat as other trends took off.
As developers focused on scaling blockchains and regulators scrutinized privacy tools such as Tornado Cash, much of the industry’s attention shifted elsewhere. But a new Ethereum proposal and a growing number of privacy-focused products suggest the topic is making a comeback.
The latest example is pERC-20, a proposed Ethereum token standard that would allow users to hold and transfer tokens without publicly revealing their balances, transaction amounts or counterparties. The proposal has sparked renewed discussion around whether public blockchains should expose every financial interaction by default.
Unlike traditional ERC-20 tokens, which is the default token standard on Ethereum today that displays balances and transaction histories onchain for anyone to inspect, pERC-20 keeps sensitive details private.
Today, most Ethereum tokens function like public bank accounts. Anyone can look up a wallet address and see how many tokens it owns, where they came from and where they were sent. Under pERC-20, tokens would instead exist as encrypted cryptographic “notes,” similar to digital cash.
The result is a system where transactions remain private while still allowing the network to verify that no changes to the transactions occurred.
Importantly, the proposal does not hide everything.
The total supply of a token would remain publicly visible, allowing anyone to verify that new tokens are not being secretly created. The proposal also includes a compliance mechanism that would allow issuers to freeze specific notes through a cryptographic blacklist without exposing ordinary users’ balances or transaction histories.
The design reflects a broader shift in how privacy is being discussed across crypto.
Rather than treating privacy and compliance as mutually exclusive, many newer projects are attempting to build systems that offer both.
But some developers argue that private payments are only part of the challenge.
Earlier this week, Starknet went live with STRK20, a privacy-focused token framework designed to extend confidentiality beyond simple token transfers and into decentralized finance applications such as lending, staking and token swaps.
According to Eli Ben-Sasson, the co-founder of StarkWare, the main developer firm behind Starknet, the biggest obstacle facing privacy technologies today is not cryptography. “The big problem of dealing with privacy is UX,” Ben-Sasson told CoinDesk.
Historically, privacy-focused cryptocurrencies have struggled with usability. Users often faced slow wallet synchronization, cumbersome transaction flows and limited compatibility with the broader crypto ecosystem. Those limitations made privacy tools difficult to use and, in some cases, undermined the privacy they were designed to provide.
Privacy systems rely on large groups of users participating together. If only a small number of people use a privacy network, it becomes easier to identify individual participants.
“If the UX is bad, very few users are going to be using it,” Ben-Sasson said. “If very few users are going to be using it, and only for a very small number of things, they don’t really get a lot of anonymity.”
Ben-Sasson said pERC-20 appears to be largely focused on private token transfers and draws on ideas pioneered by privacy-focused projects such as Zcash. While he described that as an important capability, he argued that the next stage of privacy infrastructure will need to support a much broader set of financial activities.
“Today we can do more,” he said, referring to privacy-preserving DeFi applications.
The STRK20 framework was built with that goal in mind. Rather than shielding a single token, the framework allows users to manage multiple assets under a unified privacy layer and interact with decentralized applications while maintaining confidentiality. According to Ben-Sasson, users can access services such as swapping, borrowing and staking without sacrificing privacy.
The framework also uses post-quantum secure cryptography, which Ben-Sasson argued will become increasingly important as blockchain developers begin preparing for future advances in quantum computing.
The contrast between pERC-20 and STRK20 highlights an emerging debate about what privacy in crypto should actually look like.
One vision focuses on making payments private while preserving transparency elsewhere. Another seeks to make privacy a foundational layer that extends across an entire ecosystem of financial applications.
Either way, the discussion itself marks a notable shift.
For much of the past several years, privacy occupied a relatively small corner of the crypto industry, often associated with niche privacy coins or controversial mixing services. Today, the conversation is increasingly centered on mainstream infrastructure, token standards and institutional use cases.
Whether pERC-20 ultimately becomes an Ethereum standard remains uncertain. Like all Ethereum Improvement Proposals, it must go through a lengthy review process before it could see widespread adoption. But its emergence, alongside projects such as STRK20, suggests that privacy is once again becoming a priority for blockchain developers.
Crypto World
Anchorage Requests Treasury Clarification on GENIUS Act AML Rules
Anchorage Digital, a federally chartered crypto bank and stablecoin infrastructure provider, has submitted a public comment letter supporting the US Treasury Department’s proposed Anti-Money Laundering (AML) and sanctions framework for the GENIUS Act, arguing that the rules largely strike the right balance between compliance and innovation.
In a letter published Wednesday, Anchorage said the proposed framework appropriately places AML obligations on regulated stablecoin issuers while urging Treasury to clarify secondary-market sanctions liability, enterprise-wide AML programs and correspondent account requirements.
Specifically, Anchorage argued that issuers should not face strict liability for failing to independently identify sanctioned users who transact on secondary markets through their smart contracts.
“A final rule that is clear and workable gives regulated institutions the certainty they need to build, and strengthens U.S. leadership in the next generation of payments and settlement infrastructure,” Anchorage said.

Source: Kevin Wysocki
The comments address Treasury rules proposed in April that would classify payment stablecoin issuers as financial institutions under the Bank Secrecy Act, subjecting them to AML, customer due diligence and suspicious activity reporting requirements.
The proposal, jointly issued by the Financial Crimes Enforcement Network (FinCEN) and Treasury’s Office of Foreign Assets Control (OFAC), would align stablecoin issuers with existing US anti-money laundering and sanctions compliance standards while imposing enhanced monitoring and recordkeeping obligations.
Related: Solana Institute CEO says CLARITY Act must shield open-source developers
Industry groups push for broader sanctions carveouts
Support for the proposed rulemaking has not been uniform across the crypto industry.
The lobbying arms of crypto derivatives exchange Hyperliquid and venture capital firm Paradigm recently submitted their own comment letter seeking greater clarity on secondary-market obligations, echoing Anchorage’s concerns but taking a more critical view of the proposal overall.

Source: Stefan Schropp
The groups argued that the current framework could impose sanctions obligations on issuers even when they lack a direct relationship with or visibility into users transacting on secondary markets.
“OFAC sweeps secondary market activity into the issuer’s compliance perimeter, treating smart contract interactions as an ongoing “provision of services” that carries sanctions liability regardless of whether the issuer has any relationship with, or visibility into, the transacting parties,” they said.
Related: SEC’s Peirce argues publishing DeFi code is protected speech
Crypto World
Meta deepens India AI push with Reliance data center deal
Meta has agreed to lease a 168-megawatt AI data center in India from Reliance Industries. The facility will rise in Jamnagar, and Reliance will deliver it within two years.
Summary
- Meta agreed to lease a 168-megawatt AI data center from Reliance Industries in Jamnagar.
- Reliance will build and deliver the facility within two years, with an option to scale.
- Meta also signed clean energy deals with CleanMax and Fourth Partner Energy for nearly 1GW.
The deal adds new AI infrastructure for Meta while extending its partnership with Mukesh Ambani’s group.
Meta expands AI capacity in Jamnagar
According to Meta’s release, Reliance Industries will build the AI-enabled data center for the US technology company. The facility will carry 168 megawatts of capacity and include an option to scale. Reliance operates businesses across petrochemicals, textiles, media, telecom, and digital services. Its new agreement with Meta adds data centers to a long-running technology partnership between both companies.
“This world-class facility in Jamnagar will help us scale our AI infrastructure globally,” Meta CEO Mark Zuckerberg said. He said the project also deepens Meta’s long-term investment in India’s economy. Reliance Chairman Mukesh Ambani described Meta’s latest investment as a “transformative moment for India’s digital infrastructure.” His company will build the site and lease it to Meta after completion.
The two companies already have deep business links in India. In 2020, Meta invested $5.7 billion in Jio Platforms, Reliance’s telecom and digital services unit. Last year, Meta and Reliance expanded their work through a joint venture. The partnership made Meta’s open-source AI models available to Indian enterprises and developers.
India draws data center capital
Global hyperscalers have increased data center spending in India as AI infrastructure demand grows. The country has attracted $400 billion into its AI ecosystem over the last year. Most of that money has gone toward data centers and energy systems, according to the provided industry figures. Large AI systems need high-capacity sites and steady power supply.
Nomura said in a June 2 report that India’s data center industry ranks among the fastest-growing globally. The brokerage also said India remains cost-efficient compared with developed Asia Pacific and Western markets. India’s data center capacity could rise to 7 gigawatts by 2030, according to Nomura. The report linked that growth to cost advantages and rising hyperscaler demand.
The Indian government also introduced a 20-year tax exemption earlier this year. The policy covers hyperscalers using Indian data centers to serve clients outside the country. The tax rule adds another incentive for companies building AI infrastructure in India. Meta’s Reliance deal comes during that expansion of policy and private-sector investment.
Renewable energy deals support Meta operations
Meta is also working with Indian clean energy firms CleanMax and Fourth Partner Energy. The company said those partnerships cover nearly 1 gigawatt of renewable energy. The projects will operate across northern and southern Indian states. They will supply clean power to Meta’s expanding infrastructure footprint in the country.
Meta said the India energy investments align with its global clean power target. The Facebook parent wants to match all operations with 100% clean and renewable energy. The Jamnagar data center agreement adds to Meta’s existing India commitments.
The deal links AI infrastructure, renewable power, and Reliance’s industrial base in one project. Reliance will deliver the data center within two years, according to Meta’s release. The facility also includes an option to scale after the first phase.
Crypto World
On-Chain Tracking Revives Allegations That Hoskinson Sold 1.5B ADA in the 2021 Rally

On-chain analysis is prompting speculation that Cardano co-founder Charles Hoskinson sold approximately 1.5 billion ADA in 2021, while publicly advocating for the token. NFT creator Masato Alexander published new on-chain tracing work this week claiming that large ADA transactions during the 2021… Read the full story at The Defiant
Crypto World
Raydium promises full refund after $1.3M Solana pool exploit
Raydium has pledged to fully reimburse losses after an exploit drained approximately $1.3 million from five legacy liquidity pools built on Solana.
Summary
- Raydium said it will fully reimburse losses after an exploit drained about $1.3 million from five legacy Solana liquidity pools.
- On-chain investigator Specter said the attacker used a fake mint address to exploit retired AMM code and steal RAY, SOL, and USDC.
- PeckShield traced part of the stolen funds to Tornado Cash, while Raydium said active pools and current users were unaffected.
According to blockchain security firm PeckShield and on-chain investigator Specter, the attack targeted retired automated market maker infrastructure that is no longer used by active Raydium pools. The protocol said current users and active liquidity pools were not affected by the incident.
Details shared by Specter indicate that the attacker exploited a validation weakness in dormant pools tied to Raydium’s early AMM design. By using a fake mint address, the attacker was able to bypass checks and withdraw liquidity from the affected pools.
The stolen assets included roughly 150,177 RAY tokens, 5,603 SOL, and 893,700 USDC. Specter reported that the attacker initially received funding through KuCoin before moving the stolen assets across chains to Ethereum.
Exploit was limited to retired Raydium infrastructure
Following the attack, Raydium stated that the affected pools belonged to a deprecated program with no active user participation. The team added that all impacted assets would be covered by the project treasury, preventing losses from falling on users who still had exposure to the legacy pools.
Tracking data from PeckShield showed that part of the stolen funds was routed through privacy tools after the exploit. The security firm reported that approximately 810 ETH was deposited into Tornado Cash, while another seven ETH was transferred to FixedFloat.
The movement of funds through Tornado Cash may complicate efforts to trace assets. PeckShield noted the transfers after the Ethereum-based funds were bridged from Solana. The mixer was removed from the U.S. Treasury Department’s sanctions list in March 2025.
Security incidents involving inactive code have become a recurring concern across decentralized finance. As previously reported by crypto.news, Token of Power suffered a separate exploit earlier this week that drained more than $1.5 million from a liquidity pool after an attacker manipulated token balances and withdrew WETH reserves. The two incidents involved different protocols and attack methods.
Raydium has moved quickly to cover user losses
Compensation commitments are not new for Raydium. The protocol faced another major security incident in December 2022 when an admin key compromise led to losses from active liquidity pools.
At the time, a governance proposal approved the use of buyback fees and vested team tokens to reimburse affected liquidity providers. The latest response follows a similar approach, with the project confirming that treasury funds will be used to make users whole.
Market reaction has remained relatively muted. Data at the time of writing showed Raydium (RAY) trading near $0.57, down less than 1% over the previous 24 hours. Solana (SOL) also moved lower during the same period, slipping nearly 2% to around $63.88.
While investigators continue tracing the stolen assets, information from PeckShield and Specter suggests the exploit was confined to outdated infrastructure rather than Raydium’s current trading systems.
-
Fashion5 days agoWeekend Open Thread: Evereve – Corporette.com
-
Crypto World5 days ago
Jensen Huang Approves Samsung, SK Hynix, and Micron for NVIDIA (NVDA) HBM4 Memory Supply
-
Crypto World3 days agoAnatomy of the June crypto crash: Fed, Iran, Saylor
-
Entertainment4 days agoThe Best Mystery Series of All Time Is Surging on Streaming 30 Years After It Ended
-
NewsBeat3 days agoAlexander Zverev wins the French Open to finally earn a 1st Grand Slam title
-
Tech5 days agoSuspicious Polyfill login prompts pop up on Toshiba, Muji websites
-
Crypto World4 days agoSenator Cynthia Lummis Calls CLARITY Act the Most Consequential Financial Legislation of This Generation
-
Tech3 days agoMicrosoft unveils seven homegrown AI models in new bid for ‘long term self-sufficiency’
-
Tech5 days agoMicrosoft launches MXC, an OS-level sandbox for AI agents, with OpenAI and Nvidia already on board
-
Business5 days ago(VIDEO) Justin Bieber Delivers Surprise Happy Birthday Serenade to Diners at Los Angeles Mexican Restaurant
-
Business4 days agoThe Pain Points Taking a Fragile Tech Rally Down a Notch
-
Crypto World2 days ago
Eli Lilly (LLY) Stock Surges 4% Following Breakthrough Sleep Apnea Trial Results
-
Crypto World5 days ago
LBank Surpasses 25 Million Users Worldwide as AFA Partnership Continues to Drive Global Growth
-
Tech5 days agoVon der Leyen’s AI envoy pick draws conflict-of-interest fire
-
Crypto World3 days agoTrump’s AI Ownership Plan Could Benefit Anthropic at OpenAI’s Expense
-
Tech5 days agoMeta steals a tactic from Tesla and builds data centers in tents
-
Sports1 day agoBangladesh beat Australia after 20 years in ODIs, register only their second win over six-time world champions | Cricket News
-
Business3 days agoHigh Stakes for Wembanyama as New York Pushes for 3-0 Lead
-
Tech4 days agoHackers now exploit SolarWinds Serv-U flaw to crash servers
-
Tech3 days agoNotion restores access to Anthropic after service disruption

You must be logged in to post a comment Login