Tether, the company behind the world's biggest stablecoin, USDT, has made a big move into Bitcoin infrastructure by making its MiningOS (MOS), a whole operating system for running Bitcoin mining operations, open source. During the Plan ₿ Forum in San Salvador on February 2, 2026, Tether CEO Paolo Ardoino confirmed the release on social media. Ardoino wrote in his post that the software is "a complete operational platform that can scale from a home setup to an industrial-grade site, even across multiple geographies." A super modular networking layer with P2P encryption. MOS gives miners a single dashboard to monitor and automate parts of their operations, including hardware performance, energy use, cooling systems, and site management. Important Features and Technical Design The platform's modular architecture is what sets it apart. It lets separate parts link through a shared framework. It works locally without centralized servers, using encrypted peer-to-peer networking to let devices communicate directly. This makes it more reliable, private, and resistant to single points of failure. Tether stressed that MOS works with a wide range of hardware; it can be used with small devices in small setups or with thousands of units in huge deployments. The software is free for anyone to use, modify, and share under the Apache 2.0 license. The business also discussed the Mining SDK, the development framework that supports MOS. The open-source community will help finish it so that anyone can make their own tools and add-ons. Making Bitcoin Mining Easier Tether put MOS in place because the industry relies on proprietary, expensive management platforms that lock in vendors and make it harder for smaller operators to get to them. The goal of the program is to make advanced technologies available for free so that new players may compete more effectively and the Bitcoin network can become more decentralized and resilient overall. Tether said in its press statement, "By open-sourcing our mining software stack, we're allowing new mining companies to join the ecosystem, tailor their operations, and compete on a more level playing field, which ultimately makes the Bitcoin network more resilient." The plan coincides with Tether's rising interest in Bitcoin. For example, they have a large Bitcoin reserve—about 96,185 BTC, worth over $8 billion as of early 2026—and have been using some of their profits to buy Bitcoin since 2023. The corporation has backed mining initiatives focused on renewable energy and improving operations. Wider Effects on the Industry This new development runs counter to traditional private technologies and could accelerate cooperation on mining infrastructure. Tether cut back on some mining activity in late 2025 due to high energy costs. However, the open-source release shows that they are committed to maintaining Bitcoin's decentralized foundation in the long run through software rather than hardware ownership. The Bitcoin mining industry is constantly evolving as energy prices fluctuate and competition intensifies. MOS is a clear, community-driven alternative that could encourage new ideas and more people to get involved. People in the industry think the release could lead to fairer access to mining tools, which would be good for network security and long-term hash rate distribution.

What Is Harmonic Announcing? Harmonic, a math-focused artificial intelligence startup co-founded by Robinhood CEO Vlad Tenev, has awarded a research sponsorship to Neel Somani, the former founder and chief executive of blockchain research firm Eclipse. The sponsorship makes Somani the first recipient of Harmonic’s Rising Mathematician Research Sponsorships, according to a post published by the company on Tuesday. In the announcement shared on social media, Harmonic said Somani’s work would focus on exploring the intersection of mathematics and artificial intelligence. Tenev later reposted the announcement, amplifying the decision across his own following. The award comes as Harmonic continues to roll out a broader funding initiative it disclosed last month, under which the company said it would allocate $1 million in sponsorships to students and researchers working in mathematical fields. Harmonic raised $120 million late last year, valuing the company at $1.45 billion, according to Reuters. Investor Takeaway Harmonic’s sponsorship program shows how well-funded AI startups are using targeted research grants to build academic credibility and attract talent outside traditional university funding channels. How Does the Sponsorship Program Work? Harmonic has framed its sponsorship initiative as an effort to back individual researchers rather than institutions. In a statement released last month, the company compared mathematical research to elite performance in sports and the arts, arguing that standout researchers often lack direct funding tied to their individual contributions. “Just like in sports and the arts, we have superstars in mathematical research,” Harmonic CEO Tudor Achim said in a statement. “Harmonic is excited to take this first step and commit resources to help mathematical pioneers expand the frontiers of human understanding.” The structure of the program allows Harmonic to fund work without requiring recipients to join the company as employees or align their research with specific commercial products. That approach mirrors a wider trend among AI firms seeking closer ties with academic research while avoiding the constraints of traditional grant frameworks. By naming a first recipient, Harmonic is moving from concept to execution on a program that has drawn attention since it was first disclosed. The choice of recipient, however, places the company’s research ambitions alongside unresolved controversy from Somani’s recent professional history. Why Is the Decision Drawing Attention? Somani founded Eclipse in 2022 as a blockchain research and development firm and stepped down as chief executive in 2024 following pressure from investor Hack VC and others over allegations of sexual misconduct. Somani has denied the allegations. “I have never sexually assaulted or harassed any woman,” Somani wrote at the time. “This is a serious issue endemic to our industry and society in general, and I don't mean to minimize it by my denial of these false allegations.” Eclipse, which develops an Ethereum Layer 2 network using the Solana Virtual Machine, continued operations after Somani’s departure. Sydney Huang assumed the role of chief executive last year. Harmonic did not reference the allegations in its announcement. The decision to award the sponsorship despite the unresolved public debate places Harmonic among a growing number of technology firms navigating how to separate research credentials from reputational risk tied to past leadership disputes. Investor Takeaway Research sponsorships tied to individual figures can expose startups to reputational scrutiny, even when the funding is framed as independent from prior business roles. What Comes Next? Harmonic said it plans to distribute the remainder of its $1 million sponsorship pool to additional students and researchers. Future selections will likely draw similar attention as the company builds out the program and defines how closely it wants to be associated with individual recipients.

Bitcoin's latest rise seems weak, and Galaxy Digital experts say it could fall much further if bullish factors don't show up. Alex Thorn, the head of research at Galaxy Digital, wrote in a research note that the cryptocurrency is weak. The average cost base of all bitcoins in circulation, or the "realized price," is about $56,000 right now.  Thorn said there was a "significant chance" that BTC might fall further in the next few weeks, first hitting the bottom of a supply gap near $70,000 and then possibly reaching the realized price level. Thorn said, "It's still hard to find catalysts, and Bitcoin is also having a hard time because it's not trading with gold and silver as part of a market-wide 'debasement hedge trade.'"  Bitcoin is trading in a very unstable range right now. After bouncing back from nine-month lows, the asset recently rose roughly 3% to about $78,500. But it is still down about 39% from its all-time high of almost $126,000 in early October. Looking at Historical Support Levels Thorn alluded to technical indications that have historically acted as floors during downturns. Bitcoin has typically found support "around or slightly below" its realized price at the depths of past bear markets, then risen again. Also, the 200-week moving average, currently at $58,000, has been "key support" in each of the prior three bull cycles when prices fell below the 50-week moving average. Thorn said that Bitcoin lost that short-term support in November. He went on to say, "Those levels have historically marked the bottoms of cycles and been great entry points for long-term investors." Signs of Less Selling Pressure Thorn saw a favorable change, even as accumulation from big buyers and long-term holders showed "little evidence of significant" activity, suggesting many may be waiting for lower prices. Profit-taking by long-term holders, which has helped push prices down, has "begun to notably abate." "Still, the recent drop in long-term holders taking profits is significant and should mean that we're getting close to a bottom," Thorn said. Still, he warned that some investors would wait for prices to rise before selling, which could make it harder to cover overhead. Regulatory Developments Unlikely to Spark Rally People in the market have been keeping an eye on a U.S. bill to clarify the crypto market structure that might make rules clearer. Thorn said it "could act as a near-term exogenous catalyst," but the enthusiasm has waned. He stated, "The odds of passage have gone down in the last few weeks," pointing to problems getting bipartisan support and the fact that the Senate Banking Committee hasn't met again. Thorn said that even if it passed, any positive momentum it generated would "more likely benefit altcoins than BTC." In general, Galaxy's study suggests Bitcoin will grow slowly in the short run. If there are no new catalysts to stop the downward trend, the easiest way to go may be toward deeper support zones between $56,000 and $58,000. Based on history, these levels might eventually serve as a basis for future recovery. Investors still don't agree on whether this is a good correction or the start of a sustained period of downturn.

Cathie Wood's ARK Invest has increased its investments in stocks tied to cryptocurrencies, buying large stakes in several key companies, even as the stock market as a whole has fallen sharply and cryptocurrency values have continued to decline. The developments, revealed in trade notifications sent to Cointelegraph on Monday, come after key crypto-related stocks lost significant value earlier in the week. This is because investors were cautious after Bitcoin fell below $80,000 in February, which was the first time it had done so since April 2025. ARK Increases Exposure Across Many ETFs ARK Invest mostly bought through its three main funds: the ARK Innovation ETF (ARKK), the ARK Fintech Innovation ETF (ARKF), and the ARK Next Generation Internet ETF (ARKW). The purchase binge focused on companies that are closely linked to trading cryptocurrencies, building infrastructure, and stablecoins. Among the most notable transactions on February 2 were: 235,077 shares of Robinhood (HOOD), valued at approximately $21.1 million (primarily within ARKK). 274,358 shares of BitMine Immersion Technologies (BMNR), worth around $6.2 million (also in ARKK).  They also bought shares in Circle (the company that issues the USDC stablecoin), Block Inc. (formerly Square), Coinbase, Bullish, and other companies connected to cryptocurrencies. These new investments were made in the company's innovation- and fintech-focused vehicles, indicating that they are intentionally increasing their exposure to the sector even as it is declining. The purchases fit with a trend of buying things when the market is stressed. ARK raised its positions in similar names late last month, even as crypto stocks fell amid broader economic problems. Cryptocurrency Stocks Are Falling Fast ARK's trades happened at the same time as a tough day for stocks related to cryptocurrencies. Robinhood and Circle both fell by almost 10% and 8%, respectively. BitMine dropped 9.16%, while Bullish dropped 4.47%. Shares of Coinbase, Strategy, Metaplanet, and Galaxy Digital also plunged, prompting some market watchers to call it a "crypto stock bloodbath." This weakness in stocks is similar to problems in the cryptocurrency market, where Bitcoin and other major assets have struggled to regain their footing after the October fall. ARK's own ETFs have seen steady withdrawals and performance pressure over the past few months, given the sector's instability. A Contrarian Strategy in Uncertain Times There were no direct comments from ARK personnel about the disclosures. Still, the company's activities suggest it is taking a contrarian stance by buying when prices are low, in the hope that they will rise again. Cathie Wood's team has always invested in funds that leverage disruptive technologies such as blockchain and digital assets. They see short-term price drops as opportunities to buy more at lower prices. There are still macroeconomic problems, and investors are cautious with risk assets. But ARK's continuous investment in crypto proxies shows that people believe in the ecosystem's long-term growth potential, from trading platforms like Robinhood to infrastructure projects like BitMine. As markets digest these developments, attention will remain on whether ARK's dip-buying proves prescient or if further downside awaits crypto-linked stocks. For now, the trades show that someone is willing to take a big risk amid all the bad news.

In a clear sign that interest in cryptocurrencies is waning, spot trade volumes on key exchanges have dropped by half since October, back to levels last seen in early 2024. This drop shows that investors are less interested in the market as a whole, a trend worsened by liquidity constraints and heightened risk aversion. Bitcoin, the most popular cryptocurrency, has lost 37.5% of its value from its October peak, which makes the volume drop even worse. Analysts say that a big liquidation event on October 10 was one of the main reasons for the current drop. Darkfost, an analyst at CryptoQuant, said on Monday that "spot demand is drying up." He also claimed that "the Oct. 10 liquidation event has largely driven the correction." According to CryptoQuant, the total amount of spot crypto traded plummeted from about $2 trillion in October to $1 trillion by the end of January. For example, Binance's Bitcoin trading volume fell from $200 billion to about $104 billion during this time. Darkfost said, "This drop in volumes has brought the market back to levels that are among the lowest seen since 2024. This suggests that investors are clearly not interested in the crypto market anymore, which means that demand is lower." Market Liquidity Faces Mounting Pressure The market is also dealing with reduced liquidity, as shown by stablecoins leaving exchanges and their market capitalization dropping by about $10 billion. These factors have worsened pressure on crypto assets, making it harder for traders to fill large orders without causing significant price changes. Experts say this liquidity shortage is due to a mix of macroeconomic uncertainty and internal market changes that have scared off both retail and institutional investors. A Bitter but Essential Market Reset Some analysts see the downturn as a way to curb excessive speculation, even though the current situation looks bad. Justin d'Anethan, who is in charge of research at Arctic Digital, said that macroeconomic uncertainties are the most significant short-term obstacles to Bitcoin's recovery. D'Anethan said, "Uncertainty about Kevin Warsh's hawkish stance as Fed chair could mean fewer or slower rate cuts, a stronger dollar, and higher real yields, all of which put pressure on risk assets, including crypto." Still, he is hopeful about Bitcoin's future. He said, "I don't think the story of BTC as a hedge against inflation and debasement is over. Bitcoin was made to protect against bad monetary policies and very long-term currency debasement." D'Anethan said that a bounce might be caused by factors such as "the resumption of strong ETF inflows, clearer pro-crypto legislation, or softer economic data that forces the Fed back toward easier policy." He said that the current market activity was "a bitter medicine," but that it was eventually essential and good to get rid of leverage, calm down speculation, and make investors rethink their valuations. Signs Point to Further Downside Before a Bottom Some people who watch the market don't think it has touched rock bottom. Alphractal's founder and CEO, Joao Wedson, talked about the exact parameters that need to be met for Bitcoin to have a real price floor. Wedson said that short-term holders are already losing money, but long-term holders also need to start losing money for a bottom to form, which hasn't happened yet. He stressed that bear markets end only when the price drops below that of long-term holders, and bull markets start when the price rises above that of short-term holders. The short-term holder's realized price is still higher than the long-term benchmark right now. Wedson said that a breach below the $74,000 support level might send Bitcoin into a whole bear market. As the crypto market goes through this downturn, investors should keep a close eye on these critical variables. Analysts are split on whether the worst is over or if more pain is on the way.

By the time you finish reading this sentence, another 50,000 BDAG will be gone. While you're reading this paragraph, someone just secured their position at $0.0005. And by the time you decide whether to act, the 446 million remaining coins could be 650 million. Or 600 million. Or gone. This is the best crypto presale of 2026 in its final hours. Not its final days. Not its final weeks. Hours. The Math That Makes 446 Million Sound Like Nothing 446 million sounds massive. It sounds like plenty of supply. It sounds like you have time. Until you do the math. Current holders: 312,000 people already own BDAG from earlier presale stages. If the remaining 446M were distributed equally: Each person gets 2,243 coins. At $0.0005 per coin: That's $1,121 worth of maximum allocation per person if everyone got equal share. But distribution isn't equal. Some people are buying $100. Some are buying $100,000. The supply isn't spreading evenly — it's concentrating in wallets of people making decisions while you're still reading. 446 million coins at current velocity could be gone in: 48 hours if buying continues at average pace 24 hours if FOMO accelerates (as it always does at deadline) 12 hours if word spreads that this is the final $0.0005 opportunity ever You're not competing against 446 million coins. You're competing against everyone else who's realized the clock just hit zero. What $0.0005 Becomes After the Presale Closes In six months, someone will ask you: "Did you buy BlockDAG at $0.0005?" And you'll have one of two answers: Answer A: "Yes. I bought during the final hours of the presale. Best decision I made in 2026." Answer B: "No. I was going to, but I waited. I bought at $0.05 instead." (Or $0.40. Or never.) The person asking won't say it, but they'll think it: Why didn't you act when you had the chance? Here's what $0.0005 becomes after these hours pass: Historical footnote. Chart analysts will zoom into BlockDAG's price history and see a tiny blip at $0.0005 lasting mere hours before the presale closed. They'll study it the way people study Bitcoin's $0.06 price in 2010. It existed. Then it didn't. Impossible entry point. You can't buy at $0.0005 after the presale closes. Not on exchanges. Not OTC. Not anywhere. That price is architecturally impossible once open market trading begins. The story early believers tell. In every crypto community, there's a tier system. Those who bought early. Those who bought late. Those who didn't buy at all. The $0.0005 buyers become the legendary early believers. Everyone else becomes the "I wish I had" crowd. Right now, you get to choose which story you tell. They're Not Waiting. Why Are You? 312,000 people already made their decision. They bought at various presale stages — some at $0.001, some at $0.002, some at higher prices. Now those same people are looking at $0.0005 (cheaper than what they paid) and buying more. While you're researching, they're accumulating. While you're calculating, they're securing. While you're deciding, they're done. The uncomfortable truth? You have the same information they had. You've read the same analysis. You've seen the same $450M raised, the same 15,000 TPS technology, the same 100x to launch target. The only difference is they acted and you're still thinking. The Regret Economy: Lessons From Past Presales Go to any crypto forum and search for posts about Ethereum's 2014 ICO. You'll find thousands of comments: "I was going to buy at $0.31 but wanted to research more. By the time I decided, the ICO closed." "I had the money ready. I just hesitated for two days. Biggest financial mistake of my life." "I knew about it. I believed in it. I just didn't click 'buy.' Still haunts me." These aren't stupid people. They were informed, intelligent, capable of making decisions. They just waited too long. The pattern repeats with Solana, Cardano, Polygon, every major success story. The regret isn't "I didn't know about it." The regret is "I knew and didn't act." BlockDAG at $0.0005 is creating the next wave of those stories. The only question is whether you're in the "I bought" group or the "I almost bought" group. The Final Hours Where Myths Are Born In crypto folklore, there are legendary moments. Bitcoin at $0.06. Ethereum at $0.31. Solana at $0.22. These prices aren't just numbers. They're myths. Stories people tell about "what if I had known." Price points that existed briefly, then vanished forever, then became legend. BlockDAG at $0.0005 is happening right now. In real-time. While you're reading this. In 2027, people will talk about $0.0005 the way people talk about $0.31 ETH. With reverence. With regret. With disbelief that it was ever that cheap. The difference between you and the people telling that story with regret? They had the same opportunity you have right now. They just didn't take it. 446 Million Coins. Hours Remaining. Your Move. The best crypto presale of 2026 is ending. Not metaphorically. Actually ending. The supply is finite. The timeline is fixed. The price is $0.0005. After this, you're not buying at presale price. You're buying at whatever price the market sets. And the market doesn't care that you "were going to buy at $0.0005 but waited." 446 million coins remain. By the time you finish this article, maybe 699 million. Maybe 695 million. The countdown isn't waiting for your decision. It's counting whether you're in it or not. Presale: https://purchase.blockdag.network Website: https://blockdag.network Telegram: https://t.me/blockDAGnetworkOfficial Discord: https://discord.gg/Q7BxghMVyu 

B2PRIME Group has published its latest “Liquidity Pulse” report, arguing that a volatile 2025 recalibrated trading activity across metals, FX, equities and digital assets—and that the liquidity winners in 2026 will be providers and venues capable of handling faster markets, tighter risk controls and more automated execution. The report frames last year as a collision of “macroeconomic shocks and rapid technological innovation,” with liquidity conditions shifting as volatility changed investor positioning and algorithms expanded their share of flows. In its 2025 recap, B2PRIME lists the forces it says dominated liquidity formation: “Elevated volatility,” “Safe-haven demand,” “Shifting currency dynamics,” “Growth in institutional crypto adoption,” and the “Expansion of automated trading.” The report links those trends to a market structure reality that is increasingly multi-asset and continuous, where execution quality and resilience matter as much as price. It also argues that the mix of geopolitics, monetary policy surprises and technology adoption produced sharper swings and more episodic liquidity—forcing traders to pay closer attention to when and where depth appears. The central message for 2026 is that liquidity is becoming more concentrated around institutional-grade infrastructure. B2PRIME says that “liquidity has increasingly consolidated around providers capable of delivering stable and institutionally structured execution across metals, crypto and major FX pairs,” and adds that, in its view, “the role of a true Prime liquidity partner became central to operational resilience and competitiveness during 2025.” In practical terms, that implies brokers and buy-side firms will continue migrating away from fragile, single-source setups toward diversified connectivity, consistent pricing and lower-latency routing that can hold up through fast markets. Takeaway B2PRIME’s 2026 outlook is less about “what will rally next” and more about how liquidity will behave: more automated, more episodic around macro catalysts, and more concentrated around prime-grade, multi-asset execution providers built for resilience. Metals and Crypto Became the Liquidity Anchors, With ETFs and Stablecoins Driving Flow On metals, the report describes gold as the defining asset of 2025, citing an early-year price around “$2,750–2,800 per ounce” and a rapid move toward the “$3,150 threshold” by late March, before a later-year surge that pushed above $4,000. B2PRIME links the move to safe-haven demand and macro uncertainty, but also points to policy and balance-sheet factors: it notes a “dovish monetary policy” backdrop and says concerns rose as “U.S. debt…surpassed $38 billion,” while central bank buying increased. For liquidity providers and brokers, the implication is straightforward: when macro risk dominates, metals can become both a hedge and a volume engine, concentrating flows in the most liquid venues and feeds. Silver, in B2PRIME’s telling, outperformed on a different narrative—industrial demand meeting constrained supply. The report says silver began the year “at around $30 per ounce” and by December “crossed $60 for the first time,” attributing the rally to manufacturing demand from photovoltaics, EVs and electronics alongside limited supply growth. It argues the market remained structurally tight, stating that “for the fifth consecutive year through 2025, the market recorded a structural supply deficit,” estimating a 2025 deficit range of “~117 and ~149 million ounces.” The liquidity angle is that commodity pricing is increasingly sensitive to tightness and positioning, which can amplify intraday moves when depth thins. In crypto, the report portrays 2025 as a maturity milestone, saying major assets “established themselves as a more mature and trustworthy market,” with Bitcoin and Ethereum remaining liquidity hubs. It highlights stablecoin growth as a key liquidity transmission channel, stating, “Total stablecoin market capitalization exceeded $300 billion by October 2025, up from around $200- $ 205 billion earlier in the year,” and adds that supply reached “nearly $314 billion” amid regulatory clarity, “including the GENIUS Act.” ETFs are described as the primary institutional on-ramp: “ETFs remained the central driver of capital flows to cryptocurrencies,” with Bitcoin ETF assets “around ~ $121 billion globally as of late 2025.” If that framework holds, 2026 crypto liquidity may hinge less on retail bursts and more on regulated wrappers, stablecoin settlement rails and consistent institutional risk budgets. FX and Equities Showed Regional Divergence as Automation and 24/7 Pressure Built In FX, B2PRIME argues liquidity conditions shaped how currencies responded to inflation and rate differentials. It says the dollar remained central to trading but that “its dominance in international settlements has lessened,” while the DXY “gradually decreased from the high of 109 to the lows of 97-98.” For the euro, it points to inflation cooling “to 2% in November,” helping drive EUR/USD “from lows of 1.04 to a high of 1.17,” while warning that liquidity can still thin around weaker data releases. The yen is framed as a liquidity stress case study: during calm periods it supported carry trades, but “when global volatility increased…yen positions unwound quickly,” producing sharp reversals as liquidity temporarily dried up. Equities, by contrast, are presented as a story of regional divergence moderated by depth. B2PRIME cites U.S. gains of roughly “13%” for the S&P 500, “about 17%” for the Nasdaq and “6%” for the Dow by early December, arguing that “deep liquidity in U.S. equity ETFs and futures” helped smooth volatility and absorb institutional flows. In Europe, it notes double-digit gains—citing the DAX up “close to…19.9%” and the Euro Stoxx 50 up “around 16.1%”—while adding that “thinner intra-day liquidity made European stocks more sensitive to headline news than U.S. peers.” In Asia, it highlights the Nikkei up “roughly by 15.2%” and points to net foreign outflows of “~$10 billion in November,” linking flow reversals to tech valuation concerns and liquidity drains. Looking into 2026, the report’s most consequential lens is structural: automation and resilience. It says the algorithmic trading market was estimated at “$3.85 billion in 2025,” projecting growth to “$13.07 billion by 2035,” and argues that automated execution is now core across asset classes—citing algorithms facilitating “more than 70% of transactions in cryptocurrency trading,” and machine execution around “30%” of orders on the largest exchanges in traditional markets, and “more than 35%” in FX. It also warns that the shift toward “24/7 trading” increases round-the-clock strain on execution, monitoring and risk systems. In short, B2PRIME’s 2026 outlook is a market plumbing thesis: whichever firms can maintain robust liquidity, controls and uptime through continuous, automated markets will be best positioned—while “no investment advice, recommendations, or future predictions are provided,” and “past performance does not indicate future results.”

Binance Wallet has rolled out a new Security Center aimed at reducing the most common risks faced by Web3 wallet users. The feature brings monitoring tools, alerts, and security controls into a single interface, as non-custodial wallets continue to grow in both usage and complexity. The release comes at a time when self-custody has moved further into the mainstream, while security standards across wallets remain uneven. Binance Wallet said the Security Center is designed to run in the background, flagging issues when they arise rather than requiring users to actively monitor every interaction. What the Security Center does At the core of the new hub is Security Scan, a system that continuously reviews wallet activity for signs of elevated risk. The scan checks wallet configuration, assets held, active approvals, and transaction history. [caption id="attachment_188784" align="alignnone" width="1600"] Binance Wallet Security Center Homepage[/caption] In practical terms, this includes monitoring whether a wallet has proper backup protections in place, identifying tokens that may be associated with scams or abnormal behavior, and highlighting approvals that grant excessive or outdated permissions. Transaction patterns are also reviewed to help users avoid interacting with suspicious addresses. When an issue is detected, users receive an alert within the wallet. Alerts are ranked by severity, allowing users to decide which actions require immediate attention and which can be reviewed later. Why Binance is focusing on wallet security now Wallet usage has increased sharply over the past year. Binance Wallet reported a 71% increase in users in 2025, while industry research projected non-custodial wallet adoption to grow between 20% and 30% in the second half of the year. That growth has not been matched by a similar improvement in user-side security. Many losses still stem from basic issues such as overexposed approvals, malicious tokens, or simple mistakes made during transactions. Unlike centralized platforms, non-custodial wallets place most responsibility on the user. Security Center appears designed to narrow that gap by introducing continuous checks that resemble the safeguards commonly found in traditional financial applications. Investor Takeaway As self-custody grows, wallet-level security tools are becoming essential infrastructure rather than optional features. How risk detection and response works Binance Wallet said Security Center relies on more than 200 detection models and rules to identify potentially dangerous activity. These models focus on both known threat patterns and abnormal behavior observed on-chain. [caption id="attachment_188796" align="aligncenter" width="2048"] Security Wallet gives users detailed insights into each type of risk and offers actionable security tips to help them address and mitigate them[/caption] Rather than simply warning users, the system also offers direct actions. In many cases, users can revoke approvals, adjust security settings, or review flagged assets with a single click. Security Center is not limited to Binance Wallet’s keyless wallets. Users can also import seed phrase wallets and apply the same monitoring and alert system, extending coverage beyond Binance’s own wallet infrastructure. Extending protection beyond Binance Wallet By allowing imported wallets, Binance Wallet is effectively positioning Security Center as a general security layer rather than a closed feature. The company said the goal is to reduce exposure to common attack vectors across the wider Web3 ecosystem. The hub also consolidates tools that were previously scattered across the wallet, including backup management, verification methods, approval controls, and secure auto-signing. For less experienced users, this reduces the need to understand multiple settings menus. Educational content is embedded throughout the Security Center, explaining why certain actions are flagged and how similar risks typically arise. Binance Wallet said this is intended to help users build better security habits over time. Investor Takeaway Wallet providers that combine automation with user education may be better positioned as regulators and institutions scrutinize self-custody risks. What it means for Web3 wallets Commenting on the launch, Winson Liu, Global Lead of Binance Wallet, said the Security Center was built to improve protection without adding friction. The tools operate quietly and surface only when user action is recommended. The release highlights a broader shift in wallet development. As more capital moves on-chain, users are demanding safeguards that reduce the likelihood of irreversible mistakes without undermining decentralization. Security Center is available now within Binance Wallet under the Settings menu, where users can run a scan and review any identified issues directly.

Over the past decade, cross-border payment volumes have surged, estimated to have reached about $194.6 trillion in 2024. Similarly, embedded finance has been booming, meaning that money is moving more often, farther, and faster than ever before. As a result, businesses now expect payments to be global by default, resilient under pressure, and flexible enough to support new products and business models at speed.  But, even as volumes have continued to climb, legacy payment rails have remained fragmented, with payments typically passing through 3–5 intermediaries before reaching their destination.  Each bank in this chain imposes its own processing rules, fees, and delays, with important data sometimes being stripped out in transit, resulting in slow settlement, opaque pricing, and frequent reconciliation headaches. This, coupled with modern expectations of instant, transparent transactions, has made matters even more pronounced. Thus, it comes as no surprise that nearly half of today’s executives (across industries) see the current cross-border payment tech landscape as needing a major overhaul. Solving problems sensibly with OpenPayd! To handle the ever increasing complexity of modern payments, organizations have shifted toward an infrastructure-first mindset where, instead of scrapping legacy systems entirely, the focus has shifted toward connecting disparate systems using APIs. Another major trend in this regard has been collaboration, where banks and fintechs work together (with the former offering core connectivity to national clearing systems and holding insured deposits, while the latter handles orchestration, technology, and scale). This ethos is truly exemplified by OpenPayd, a platform offering a universal financial infrastructure connecting traditional and digital assets via a single, unified interface. Its rails-agnostic solution enables businesses to move and manage money globally, across fiat and crypto seamlessly. For example, OpenPayd provides multi-currency accounts that businesses can open on-demand with each account capable of holding, sending, and receiving funds in 40+ currencies simultaneously, with real-time FX between 49 currency pairs. In effect, a company can collect payments in EUR, USD, or any supported local currency, then instantly convert and disburse them abroad, all under one roof.  Moreover, virtual IBANs (bank account numbers) can be generated for each customer or purpose, automating reconciliation so much so that a marketplace can assign a unique IBAN in each currency to every seller, allowing payments to flow in and out automatically and eliminating manual tracking.  A holistic solution OpenPayd’s API covers not just accounts but the entirety of money flow life-cycles, handling domestic and cross-border payments, global foreign exchange, open banking transfers, and even crypto on/off ramps.  On the fiat side, the platform is connected to one of the most comprehensive banking networks in the market, giving real-time access to payment systems across regions. On the digital side, OpenPayd has integrated with several blockchains, allowing stablecoins and other digital assets to move in and out of the regulated system.  This bridge enables business transactions to use whichever rail makes sense so that a merchant, for instance, could receive an e-commerce payment in crypto but settle it in local currency on the same platform, in seconds. Compliance is built into OpenPayd’s core architecture, with the company holding licenses as an electronic money institution (and virtual asset provider) in multiple jurisdictions.  To elaborate, every transaction is screened and settled under one umbrella, so partners can rely on bank-grade anti-fraud and KYC controls. In other words, compliance is “treated as a foundational element rather than an afterthought,” a design choice that actually fosters stronger partnerships with banks and regulators.  The scale of OpenPayd’s growing clout is best exemplified by the fact that it currently serves hundreds of companies (over 750 clients as of mid-2025) across diverse domains such as fintech, crypto, e-commerce, remittance and more, processing on the order of €130 billion every year.  Moreover, it bears mentioning that earlier in the year, OpenPayd announced a collaboration with Archax (a regulated crypto exchange), centralizing the latter’s GBP, EUR, and USD accounts. As a result of the automation, settlement times were slashed and reconciliation streamlined to a large degree. Harmony is the way to move forward Rather than ripping out legacy rails,  OpenPayd has fostered a new paradigm, one where businesses have the agility to launch new services quickly (thanks to standardized APIs and rapid integration) and to expand internationally without juggling dozens of bank relationships. Basically, when a company needs to pay a supplier in another country, or enable customers worldwide to send money home, the platform handles the complexity invisibly. The net effect is a modular ecosystem where APIs stitch together multiple participants and networks, enabling everything from “buy now, pay later” at checkout to instant disbursements on a global e-commerce marketplace.

In the world of global trade and finance, compliance is often looked at as an afterthought, pertaining primarily to a world of paper policies and reports compiled long after the fact. However, this approach has time and again proven to be inadequate, with industry data showing that 91% of companies plan on implementing continuous compliance monitoring systems into their existing frameworks in the next five years. The message in all of this seems to be clear, i.e. compliance cannot live solely in policy decks and retroactive reports but rather woven into the very fabric of a firm’s business operations from day one. High-stakes sectors such as commodities trading, defense supply chains, and cross-border finance, in particular, are beginning to discover that only by designing compliance into workflows, data structures, and system controls can they truly manage risk and meet escalating regulatory demands. Here’s Why Today’s Compliance Rails Fall Flat In fast-moving environments, a reactive stance, where issues are addressed only after a report flags them, often means it’s too late to avoid damage. Notably, heightened enforcement has made the cost of after-the-fact compliance painfully clear (primarily in the form of fines, delays, and reputational damage). Consider the example of critical minerals supply chains, where companies have faced substantial penalties in the past, primarily for failing to meet requirements related to the Dodd-Frank Act. Similarly, when it comes to sectors like defense and cross-border trade, there is again zero room for compliance gaps, so much so that most regulators now expect real-time monitoring and auditable trails for every transaction.  A 2025 industry survey revealed that over 82% of compliance leaders were impacted by third-party and supply-chain risks over the past year, underscoring how vulnerable organizations become when oversight is bolted on as an afterthought. To put it another way, when compliance is merely outsourced to manual processes or relegated to quarterly audits, it fails under real-world pressure.  The stakes are simply too high, as in the defense sector, for instance, the U.S. Department of Justice has begun actively penalizing contractors for lapses in built-in cybersecurity compliance, with over $26 million in settlements handed out in 2025 for failures to implement required controls.  Amidst all of this, a new paradigm has taken form, where compliance rails are baked into the platform with all regulatory requirements and ethical safeguards being taken care of from day one. In fact, one platform that has exemplified this new standard has been SAGINT, a company building digital asset infrastructure with a special focus on high-value, high-stakes value chains (think critical minerals, defense-related supply chains, and cross-border trade of essential commodities).  Instead of treating accountability as someone else’s problem, SAGINT has made it a foundational feature of its technology. The company’s flagship offering, known as SAGINT OS, offers a suite of services where every module is designed with native compliance and auditability in mind.  For instance, the SOLACE™ compliance engine in SAGINT OS leverages AI to automate KYC/AML checks and maintain immutable verification trails. In practice, this means that any asset tokenized or transaction processed via SAGINT comes with built-in identity resolution, permissions management, and a cryptographic audit log from the very start.  Moreover, the project’s infrastructure transforms real-world assets (like commodities or certificates) into secure, traceable digital tokens that carry their compliance data with them. In late 2025, SAGINT partnered with the Sui blockchain network to tokenize critical minerals like rare earth elements. Similarly, as part of another agreement, SAGINT’s technology is now powering the Kinshasa Mercantile Exchange (KME) in the Democratic Republic of Congo, a move aimed at bringing trust and efficiency to a mineral market historically plagued by opacity. By providing the backend for such exchanges, SAGINT is directly embedding U.S. grade compliance and security standards into markets eager to attract international participants. This is especially pertinent now because policy pushes for more secure and traceable supply chains have emerged worldwide. In this regard, the platform offers a timely answer that marries cutting-edge tech (AI, blockchain, zero-knowledge proofs) with the nitty-gritty requirements of regulatory compliance. The bottom line is clear Whether it’s tracking a rare metal from mine to battery factory, or managing digital assets across borders, the idea of compliance by design is fast becoming the gold standard across the tech landscape. SAGINT’s early leadership in this arena has clearly signalled the fact that when compliance is native, innovation doesn’t have to wait for approval; it’s already a step ahead.  In that sense, the future belongs to such future-ready projects, where every layer of the system reinforces accountability, and where being compliant is just a natural outcome of using the platform. This is what it means to have compliance live not in decks and reports, but in the real-time heartbeat of modern commerce.

xAI has begun hiring cryptocurrency and digital asset specialists as part of an effort to train artificial intelligence models capable of understanding and operating within crypto markets. The recruitment drive signals a strategic move by the AI firm to incorporate domain-specific expertise into the development of trading-focused AI systems, reflecting growing interest in applying machine learning to highly dynamic financial environments. The initiative targets professionals with experience across crypto trading, decentralized finance, derivatives markets, and on-chain analytics. These hires are expected to work alongside AI researchers and engineers to help shape how models interpret market data, manage risk, and respond to the unique structural features of digital asset markets. Embedding market knowledge into AI training Crypto markets differ significantly from traditional financial systems, operating continuously with high volatility, fragmented liquidity, and a blend of on-chain and off-chain data signals. By bringing in experienced practitioners, xAI aims to ensure its models are trained with a nuanced understanding of these conditions rather than relying solely on generalized financial data. Domain experts are expected to contribute to the design of training datasets, reward mechanisms, and evaluation frameworks that reflect real-world trading dynamics. This includes incorporating signals such as blockchain transaction flows, smart contract activity, exchange order books, and market sentiment indicators. The goal is to help AI systems learn patterns that are relevant and actionable within crypto markets while avoiding misinterpretation of noise or anomalous behavior. Industry observers note that integrating human expertise into AI training is increasingly viewed as essential when deploying models in complex, high-risk domains. In crypto trading, small errors or misjudgments can be amplified rapidly, making contextual understanding a critical component of system design. Broader implications for AI and crypto markets xAI’s hiring push highlights a broader convergence between artificial intelligence development and digital asset markets. As AI capabilities advance, firms are exploring how autonomous systems can support tasks such as market prediction, execution optimization, liquidity management, and risk analysis. Crypto markets, with their constant activity and rich data streams, offer a natural testing ground for such technologies. At the same time, the use of AI in trading raises questions around market stability, transparency, and oversight. Autonomous systems operating at scale could influence liquidity and volatility, particularly in less mature markets. By prioritizing domain expertise in its hiring strategy, xAI appears to be positioning itself to address these concerns through more informed model design and governance. The move also reflects growing demand for hybrid talent that bridges technical AI skills and financial market experience. As AI systems become more specialized, companies increasingly recognize that successful deployment depends on close collaboration between engineers and domain experts. For xAI, the recruitment of crypto specialists represents an expansion of its ambitions beyond general-purpose AI toward applied systems with real-world economic impact. How effectively the firm integrates human insight into autonomous trading models will shape not only its own products, but also broader perceptions of AI’s role in increasingly complex digital markets.

ING-DiBa has opened access to Bitcoin for its retail customers, marking a significant step in the integration of digital assets into traditional banking services in Germany. The move allows clients of one of the country’s largest direct banks to buy and hold Bitcoin through a regulated banking platform, reflecting growing demand for crypto exposure within familiar financial environments. The launch represents a shift in how established banks are approaching digital assets. Rather than steering customers toward third-party platforms, ING-DiBa has chosen to embed Bitcoin access directly into its existing digital banking infrastructure, offering a streamlined and regulated pathway for retail investors seeking exposure to the leading cryptocurrency. Bringing Bitcoin into the core banking experience Under the new service, ING-DiBa customers can purchase and monitor Bitcoin holdings via the bank’s online and mobile banking applications. The bank has positioned the offering as a long-term investment feature rather than a high-frequency trading product, emphasising custody, transparency, and compliance over speculative activity. Custody of Bitcoin is handled through an external regulated provider, ensuring that assets are stored securely and in line with applicable supervisory requirements. ING-DiBa has stated that customer Bitcoin will not be used for lending or yield-generating activities, reinforcing a conservative approach focused on asset safeguarding and investor protection. The bank has also introduced additional educational materials and disclosures alongside the rollout, highlighting the risks associated with cryptocurrency investments. This approach reflects the institution’s intention to balance access with responsibility, particularly for retail clients who may be engaging with digital assets for the first time. Implications for banking and crypto adoption ING-DiBa’s decision to offer direct Bitcoin access highlights the accelerating convergence between traditional banking and the digital asset sector. As customer interest in cryptocurrencies persists, banks are increasingly under pressure to provide regulated alternatives to standalone crypto exchanges, especially for clients concerned about security and compliance. For the broader market, the move signals a growing acceptance of Bitcoin as a legitimate asset class within mainstream finance. By incorporating Bitcoin into everyday banking products, institutions like ING-DiBa are contributing to the normalisation of digital assets and lowering barriers to entry for a wider segment of the population. The timing also coincides with broader regulatory developments across Europe aimed at creating clearer rules for crypto assets and service providers. As regulatory frameworks mature, banks are better positioned to integrate digital assets without compromising compliance standards. While ING-DiBa’s offering currently focuses solely on Bitcoin, the launch may pave the way for additional digital asset services in the future. Whether the bank expands its crypto offerings will likely depend on customer uptake, regulatory clarity, and market conditions. Overall, ING-DiBa’s move represents a meaningful milestone in the evolution of retail banking. By opening access to Bitcoin within a regulated banking environment, the institution is responding to changing investor preferences and reinforcing the role of traditional banks in shaping the future of digital finance.

Dubai, United Arab Emirates, February 3rd, 2026, FinanceWire STARTRADER announced the launch of a basketball court renovation project at Ban Nam Lad School in Thailand as part of its “Where Tomorrow STARS Begin” corporate social responsibility initiative. The project involved the construction of an 18×12 meter multi-purpose basketball court. In addition, STARTRADER is providing sports equipment to students, with the aim of supporting physical activity and encouraging teamwork within the school. Details of the Project The basketball court, scheduled to be unveiled on February 16th, will be used by almost 100 students, with ages ranging from 4 to 12. However, as the broker aims to benefit the community at large, the wider local community in the surrounding villages of Ban Wong Bo and Ban Nam Lat will have access to the court as well. Whereas on January 30, the groundbreaking ceremony took place, marking the start of construction on the following day. The campaign took place at a strategic time, as the broker had earlier in the year announced partnerships with several leading sports brands. The name chosen for the campaign highlights the values the company has emphasized through its partnerships: high-level performance, precision in execution, and discipline. This campaign stands as a translation of these values into meaningful action, as stated by the CEO of STARTRADER, Peter Karsten: “STARTRADER's goal is to make a difference, and this time through sports. Giving the youth in Thailand the chance to improve their skills and build their confidence, discipline, and teamwork.” The principal of the school, Wirot Sukreedist, also highlighted the importance of this initiative, stating: "On behalf of the faculty, students, and staff of Ban Nam Lad School, we would like to express our profound gratitude to STARTRADER for their generous support in the construction and donation of our new futsal and basketball courts. These facilities are more than just a sports ground; they are a precious gift that provides our students with the opportunity to hone their athletic skills, improve their physical well-being, and learn valuable life lessons outside the classroom. We are committed to maintaining and utilizing these courts to their fullest potential for the benefit of our students’ future development." About STARTRADER STARTRADER is a global broker that provides its clients with opportunities to trade financial instruments online. STARTRADER services both Partners and Retail Clients, who can trade using the MetaTrader Platform, the STAR-APP, and using STAR-COPY. As a global broker, STARTRADER holds a client-first approach as our core principle. Regulated in 5 jurisdictions (ASIC, FSA, FSC, FSCA, and CMA), STARTRADER upholds strong governance alongside sustainable growth. STARTRADER's team comprises dedicated professionals working collaboratively to deliver quality service to its Partners and Clients. Contact Global PR Manager Janna Magabilen STARTRADER janna.magabilen@startrader.com

Bitcoin prices have stabilised below the $80,000 mark, entering a period of consolidation after weeks of heightened volatility across digital asset markets. The world’s largest cryptocurrency has struggled to reclaim levels above this key psychological threshold, but recent price action suggests that selling pressure has eased and a temporary balance between buyers and sellers has emerged. Over the past several sessions, Bitcoin has traded within a relatively narrow range, with intraday swings becoming less pronounced compared with earlier declines. Market participants view this stabilisation as a pause rather than a definitive shift in trend, as investors reassess risk exposure amid broader macroeconomic uncertainty and evolving sentiment toward crypto assets. Technical levels and market behaviour From a technical perspective, the area below $80,000 has become a focal zone for traders. Support levels in the mid-$70,000 range have held, preventing deeper pullbacks, while resistance near $80,000 continues to cap upside attempts. Momentum indicators suggest that bearish pressure has moderated, allowing prices to consolidate rather than extend losses. Trading volumes during this period have remained subdued, reflecting a cautious stance among both retail and institutional investors. Lower volumes often accompany consolidation phases, as participants wait for clearer signals before committing additional capital. Analysts note that such phases can precede either renewed upward momentum or further downside, depending on broader market catalysts. Bitcoin’s price behaviour has also remained closely linked to movements in traditional risk assets. Shifts in equity markets, interest rate expectations, and global macro developments continue to influence sentiment, reinforcing the perception that crypto assets are still sensitive to external financial conditions. Implications for investors and the broader market For investors, Bitcoin’s stabilisation below $80,000 offers a mixed signal. On one hand, the absence of sharp declines may indicate that the market has absorbed recent selling pressure. On the other, the inability to break higher highlights ongoing caution and the lack of a strong catalyst to drive renewed bullish momentum. Long-term holders are closely watching on-chain data for signs of accumulation, while shorter-term traders are focusing on defined support and resistance levels to guide positioning. A sustained move above $80,000 could improve confidence and attract fresh inflows, whereas a break below established support may reopen downside risk. The broader cryptocurrency market has mirrored Bitcoin’s consolidation, with major altcoins also trading sideways. This alignment suggests that investors are taking a wait-and-see approach across the sector as they assess macroeconomic signals and upcoming developments. For now, Bitcoin’s ability to stabilise below $80,000 points to a market in transition rather than one in freefall. Whether this period of calm resolves into a renewed rally or further correction will depend on shifts in sentiment, external economic factors, and the return of sustained demand.

Coinbase has added a range of projects built on the Sui blockchain to its development roadmap, marking a notable expansion of the exchange’s strategic focus on emerging Layer-1 ecosystems. The update reflects Coinbase’s continued efforts to broaden asset coverage and support networks that are gaining traction among developers and users. The inclusion of Sui-based projects does not guarantee immediate listings or product launches, but it represents an important signal of recognition from one of the industry’s most influential exchanges. Roadmap visibility typically indicates that a network or ecosystem has reached a level of maturity and relevance that warrants deeper technical and product evaluation. Strengthening ecosystem support and integration Coinbase’s roadmap update suggests potential future support for Sui projects across areas such as asset listings, wallet integration, and developer tooling. While the company has not disclosed specific timelines or implementation details, the move aligns with rising activity across the Sui ecosystem, including growth in decentralized finance applications, gaming projects, and infrastructure tools. Historically, Coinbase applies a cautious and compliance-driven approach to expanding asset support, assessing factors such as network security, decentralization, liquidity, and regulatory considerations. The decision to add Sui projects to its roadmap indicates that the network has met preliminary thresholds in these areas, even as full integration remains subject to further review. For developers building on Sui, increased visibility on a major centralized exchange could help accelerate adoption and liquidity. Exchange roadmap inclusion often draws greater attention from institutional participants and retail users alike, strengthening an ecosystem’s profile within the broader digital asset market. Implications for the broader crypto landscape The move reflects a wider industry trend toward multi-chain expansion as exchanges and platforms seek to accommodate a more diverse set of blockchain architectures. As competition among Layer-1 networks intensifies, exchanges are playing a key role in determining which ecosystems gain mainstream exposure and user access. For Sui, the roadmap inclusion represents a meaningful endorsement of its performance-focused design and developer-friendly architecture. The network has positioned itself as a high-throughput alternative to more established chains, aiming to support applications that require low latency and scalable execution. From Coinbase’s perspective, expanding its roadmap to include newer ecosystems underscores a forward-looking strategy focused on long-term growth rather than reliance on a narrow set of legacy assets. As decentralized applications continue to diversify across chains, exchanges that support multiple ecosystems may be better positioned to capture future user demand. While concrete product launches remain to be announced, the addition of Sui projects to Coinbase’s roadmap highlights the evolving dynamics between exchanges and blockchain ecosystems. It signals growing institutional awareness of emerging networks and reinforces the importance of exchange infrastructure in shaping adoption across the crypto market.

SpaceX has merged with xAI, consolidating Elon Musk’s aerospace and artificial intelligence ambitions under a single corporate structure. The move brings together one of the world’s most advanced private space companies with a fast-growing AI research firm, signalling a deeper push to embed artificial intelligence into physical systems operating at scale. The merger reflects a broader strategic vision to accelerate the development of autonomous and intelligent technologies by tightly coupling AI research with large-scale engineering and operational platforms. By combining resources, data, and talent, the unified entity aims to shorten development cycles and expand the real-world applications of advanced AI systems. Bringing AI research into aerospace operations SpaceX has built a reputation for rapid iteration, vertical integration, and data-driven engineering, particularly through its reusable launch systems and satellite infrastructure. xAI, meanwhile, has focused on developing advanced machine learning models and general-purpose artificial intelligence systems. The merger allows AI research to be applied more directly to areas such as spacecraft autonomy, mission planning, system diagnostics, and real-time decision-making. With access to SpaceX’s extensive operational data—from launch telemetry to satellite network performance—AI models can be trained and tested in complex, high-stakes environments. This integration could enhance navigation systems, improve fault detection, and enable greater autonomy in spacecraft and satellite operations. Analysts note that such capabilities may reduce operational risk and improve efficiency as missions become more frequent and technically demanding. The combined structure also enables closer collaboration between AI researchers and engineers, potentially accelerating innovation across both disciplines. Rather than treating artificial intelligence as a standalone research effort, the merger embeds it directly into the design and operation of aerospace systems. Implications for competition and regulation The consolidation positions SpaceX to differentiate itself further from competitors in both the aerospace and technology sectors. Integrated AI capabilities could offer advantages in launch reliability, satellite management, and next-generation space vehicles, strengthening the company’s competitive position as global demand for space-based services grows. At the same time, the merger raises questions around governance, safety, and regulatory oversight. The use of advanced AI in mission-critical systems will likely draw increased attention from regulators, particularly as autonomous decision-making becomes more prevalent in aerospace operations. Ensuring transparency, robustness, and fail-safe mechanisms will be essential as these technologies move closer to deployment. From an industry perspective, the merger underscores a broader trend toward convergence between AI and physical infrastructure. As artificial intelligence matures, its integration into sectors such as aerospace, robotics, and energy is accelerating, blurring the lines between software and hardware innovation. The SpaceX–xAI merger marks a significant step in that direction. How effectively the combined organization executes on its vision will shape not only the future of SpaceX’s missions, but also how advanced AI systems are deployed in some of the most demanding environments imaginable.

KEY TAKEAWAYS Panic selling arises primarily from fear and loss aversion, turning temporary paper losses into permanent ones during market dips, but recognizing it as an emotional reaction rather than rational analysis allows traders to pause and reassess fundamentals before acting. A well-defined investment plan with clear entry/exit rules, risk limits, and objectives acts as a critical anchor, enabling disciplined decisions and reducing the influence of momentary fear when markets decline sharply. Dollar-cost averaging (DCA) mitigates emotional attachment by spreading purchases over time, averaging costs, and encouraging a methodical approach that withstands volatility without triggering panic exits. Investing only disposable capital and accepting crypto's inherent risks, including significant drawdowns followed by recoveries, builds psychological resilience and prevents forced sales driven by financial necessity. A long-term perspective, supported by historical crypto performance and a focus on asset fundamentals, counters short-term noise, helping investors ride out corrections confidently rather than capitulating at lows.   Panic selling is one of the worst things you can do while trading cryptocurrencies. It happens when investors sell their coins at big losses because they are scared during market downturns. This emotional reaction often turns brief unrealized losses into permanent realized ones, usually right before the losses start to recover.  Studies from trading platforms and investor assessments demonstrate that panic selling is caused by psychological variables that are made worse by crypto's extraordinary volatility, social media, and news events from outside the market. One source defines panic selling as "exiting the market at a low price based on fear." This happens a lot in downturn markets and is the opposite of FOMO during uptrends. This book combines information from expert sources to explain the reasons behind impulsive exits, the psychological processes that lead to them, and evidence-based ways to stay calm and avoid them. What Panic Selling in Crypto Means When traders sell assets quickly because they are scared, this is called panic selling. This usually happens when prices drop sharply because of bad news, market corrections, or changes in public opinion. This behavior is made worse in crypto by 24/7 trading, high leverage options, and the quick spread of news on social media. Bitcoin has seen several 85%+ drops followed by big recoveries in the past, but many investors sell when prices are low, which means they lose money. The main reason is emotional, not logical: anxiety takes over and leads to decisions that go against long-term investing ideas. Analysts say that "fear overrides logic and leads to bad decisions," and the Fear and Greed Index is a way to measure the mood of the market and help traders figure out when fear is in charge. What Psychological Triggers Are and Why They Happen Loss aversion is a big part of it. Losses feel almost twice as bad as profits feel good, which makes people sell quickly to feel better. External triggers are things like dramatic news, tweets from powerful people who affect Bitcoin or altcoins, and FUD (fear, uncertainty, doubt) spreading swiftly via communities. Watching charts constantly makes people more anxious, and when the market goes down, they respond more strongly due to herd mentality. Sources stress that "watching your portfolio drop in value is painful," and emotional reactivity typically causes people to sell low after buying high, which is the opposite of solid investing principles. Making a Strong Investment Plan A set trading or investment plan is the best way to avoid panic. This comprises clear goals (short-term trading vs. long-term holding), entry and exit criteria, and risk parameters. Traders don't have to rely on their emotions in real time as much if they set rules in advance. Experts say that when things become rough, you should go back to the plan: "Make an investment plan that you can stick to and refer to when your emotions get the best of you." This organized strategy moves the focus from short-term noise to the main reasons for owning certain assets. Ways to Manage Risk Good risk management lowers emotional stress: "Invest money you don't need right away or every month," because financial stress makes you more afraid during drops. Position sizing and diversification: Don't put too much money into one asset; diversify your investments to lessen the effects of any one downturn. Stop-loss orders: Set automatic exits at set levels to keep discipline without having to do anything yourself when things get tough. These actions help keep losses to a minimum and provide people with peace of mind, so they don't have to sell because they have too much debt. Using Dollar-Cost Averaging (DCA) Dollar-cost averaging is putting the same amount of money into an investment at regular intervals, no matter what the price is. This method smooths out entrance fees over time and makes you less emotionally attached to short-term changes. For instance, buying $100 worth of Bitcoin each month helps reduce the volatility's impact. Research backs DCA as a way to avoid panic: it "levels out the entry price when accumulating the coin and lets you become less emotionally attached to the market's movements, making you less likely to panic sell." DCA grows positions slowly throughout accumulation phases, helping people stay patient during market cycles. Keeping a Long-Term View The history of cryptocurrencies shows how important it is to be patient. For example, Bitcoin went from pennies to tens of thousands of dollars over 10 years, including recoveries after big drops. Focusing on the basics, including patterns in adoption, how useful the technology is, and how more institutions are getting involved, will help you get over your short-term concern. Traders should "focus on long-term results" and "prepare for pullbacks and accept risks," knowing that prices will go up and down, but historically, holders have made money when prices go back up. Looking at weekly or monthly charts instead of minute-by-minute ones helps ease the stress of watching the market all the time. Useful Tips For Developing Emotional Discipline Other strategies are: Taking pauses and limiting screen usage can help lower anxiety from being around screens all the time. Being aware of or writing in a notebook might help you see patterns and biases in your emotions. Back to basics: When prices go down, revisit the fundamentals of your assets to make sure you still believe in them. Using things like the Fear and Greed Index to put extreme feelings in context. These routines build resilience, enabling traders to see falls as opportunities rather than dangers. Common Mistakes and How to Avoid Them Panic often happens when people trade too much, use too much leverage, or respond to news that hasn't been validated. Avoiding spectacular headlines, sticking to well-known initiatives with clear use cases, and avoiding mob hysteria will help you avoid acting on impulse. Learning more about market cycles over time supports the idea that "dips are normal" and that selling out of panic often leads to regret when the market recovers. FAQs What exactly is panic selling in cryptocurrency? Panic selling is the impulsive liquidation of crypto holdings at low prices due to fear during market downturns, often locking in losses that could have been temporary if held longer. Why do traders panic sell during crypto dips? It stems from loss aversion, where losses feel more painful than gains, combined with triggers like negative news, FUD, and constant chart watching that amplify anxiety. How does dollar-cost averaging help prevent panic selling? DCA involves regular fixed investments, averaging entry prices, and reducing emotional reactions to price swings, making it easier to stay committed through volatility. What role do stop-loss orders play in avoiding panic? Stop-loss orders automate exits at set levels, enforcing predetermined risk rules and preventing emotional overrides during stressful market conditions. How can a long-term perspective stop panic selling? By focusing on historical recoveries, asset fundamentals, and adoption trends rather than short-term dips, investors build the conviction to hold through corrections rather than sell in fear. References Strategies to Avoid Panic Selling Your Cryptocurrencies ... - Binance Why Panic Selling Happens in Crypto Trading (and How to ... - Medium by PeerHive Panic Selling? How To Stop Wasting Your Time & Crypto - withtap.com

What Is India Discussing With Ant International? India is in talks with Ant International to allow its global payments platform Alipay+ to connect with India’s Unified Payments Interface for cross-border transactions, according to two government sources cited by Reuters. If approved, the arrangement would allow Indian users to pay overseas merchants using UPI in countries where Alipay+ is accepted. The discussions involve officials from the Indian government and the central bank, as well as Singapore-based Ant International, which was founded by Ant Group and now operates as an independent company. The talks have not been made public, and the sources declined to be identified. For Indian travellers, the link would remove the need to rely on cards or foreign wallets in many destinations, allowing UPI-based payments abroad through existing merchant networks connected to Alipay+. For India, the proposal fits into a broader push to extend UPI beyond domestic use and support rupee-linked payments overseas. Investor Takeaway A UPI–Alipay+ link would expand UPI’s reach abroad without requiring India to build merchant acceptance from scratch in each market. Why Cross-Border UPI Matters to India UPI has become the backbone of India’s retail payments system, handling close to 18 billion transactions each month. Domestic success has led policymakers to look outward, focusing on how UPI can support Indian tourists, migrant workers, and overseas businesses that deal with Indian customers. Cross-border use of UPI is seen as a way to lower transaction costs and reduce reliance on card networks and foreign currencies. By enabling payments in rupees, Indian authorities hope to limit conversion expenses and simplify settlements for users and merchants alike. India has already linked UPI with payment systems in several countries, mostly in Asia and the Middle East. Partnering with Alipay+ would extend that reach across a much larger network, given the platform’s presence in more than 100 markets and its connections to both local wallets and global merchants. Security and Geopolitics Remain the Key Constraint Any approval will depend on security reviews and data safeguards, the government sources told Reuters. Concerns stem largely from Alipay’s historical links to China, even though Ant International is now based in Singapore and operates independently. “There are sensitivities involved in terms of geopolitical positioning or in terms of securing the country's digital infrastructure and data because of Alipay's roots to China,” one of the sources said. Those concerns are shaped by India’s broader policy stance toward China-linked firms. After a border standoff in 2020, India imposed tighter investment rules on Chinese investors, and those restrictions are still in place. Since then, deals involving Chinese ownership or backing have faced closer review or delays. Payments infrastructure sits high on the list of sensitive sectors. Any cross-border linkage involving large volumes of consumer data is likely to face scrutiny from both the finance ministry and the central bank, even if the commercial case appears strong. Investor Takeaway Regulatory approval will hinge less on payment volumes and more on data controls, oversight, and how risks tied to China-linked technology are addressed. How Warming Ties With China Frame the Talks The discussions come as India and China show tentative signs of easing tensions. Strained relations after the 2020 border clash slowed flows of capital, technology, and talent between the two countries, and India tightened checks on China-related investments. That stance stalled or derailed several high-profile proposals, including a planned $1 billion electric vehicle investment by BYD. More recently, however, New Delhi has taken small steps toward re-engagement, partly against the backdrop of rising trade pressure from the United States. Indian Prime Minister Narendra Modi visited China last year for the first time in seven years, holding talks with President Xi Jinping on improving bilateral relations. India also resumed direct commercial flights to China after a five-year pause and eased visa rules for Chinese professionals. Within that context, the Alipay+ discussions reflect a cautious reopening of economic channels rather than a wholesale policy change. Payments cooperation offers a limited, consumer-facing test case that can be shaped through controls and phased access. What Happens Next? Officials said a final decision would only come after security and data reviews are completed. India’s finance ministry, the Reserve Bank of India, and the National Payments Corporation of India did not comment on the talks, and Ant International also declined to respond to requests for comment.

KEY TAKEAWAYS Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as whether Bitcoin will rise or fall in short timeframes based on indicators and volume. Ensemble methods, including gradient boosting models like XGBoost, excel at capturing non-linear relationships and reducing bias, making them highly effective for structured financial data in volatile cryptocurrency markets. Unsupervised learning supports exploratory tasks such as anomaly detection and asset clustering, helping identify unusual market behavior or regime shifts that traditional analysis might overlook in crypto's dynamic environment. Reinforcement learning offers adaptive strategies by learning optimal actions through rewards and penalties, ideal for evolving crypto conditions where static rules underperform, though it demands significant computational resources. While ML provides speed, pattern recognition, and emotion-free execution, challenges like overfitting and data quality require careful validation, backtesting, and risk management to achieve sustainable results in real-world trading.   Machine learning (ML) has changed the way people trade cryptocurrencies by enabling automated analysis of large amounts of data to find patterns, predict price movements, and execute trades without letting emotions get in the way. In the very unstable world of cryptocurrencies, where things change quickly, and markets are open 24/7, ML algorithms provide you with an edge based on data.  Studies and research from trading platforms show that these algorithms turn raw market data into useful information. Machine learning algorithms are changing the way people trade cryptocurrencies by uncovering patterns that are too complex for humans to see. This beginner's tutorial uses expert sources to describe the most important ML ideas, common algorithms, how they work in crypto applications, and considerations when putting them into practice. What Is Crypto Trading With Machine Learning? Machine learning uses algorithms that learn from data to draw conclusions or make predictions without being programmed for every situation. When trading cryptocurrencies, ML models analyze past prices, volumes, technical indicators, on-chain data, and sometimes external factors such as sentiment to predict trends and generate signals. ML learns from past data and changes its behavior, while rule-based algorithms obey set if-then conditions. For instance, models can use current volume and indications to guess whether the next Bitcoin candle will close higher or lower. Supervised learning is for making predictions with labels, unsupervised learning is for finding patterns, and reinforcement learning is for making strategies that can change. Types of Machine Learning Algorithms Used in Crypto ML algorithms fall into three primary paradigms, each suited to different trading needs. Learning with a Supervisor Supervised learning teaches models to work with labeled datasets where inputs are paired with known outcomes, such as the direction of a price (up or down). The model learns to predict future events. Some well-known models are: Random Forests: A strategy that combines several decision trees to avoid overfitting and deal with non-linear interactions well. It works well with structured data, such as financial time series, and is good for categorization tasks, like buy/sell signals. XGBoost: This is a fast, efficient gradient boosting algorithm that works well with tabular data. It uses regression trees with second-order optimization, which makes it good at predicting price changes in crypto. Long Short-Term Memory (LSTM) Networks: A kind of recurrent neural network made for data that comes in a sequence, like a time series. LSTMs are often used to predict crypto trends because they can uncover long-term patterns in price history. Support Vector Regression (SVR): This method extends support vector machines for regression, finding the best functions with an epsilon-insensitive loss for price prediction applications. In real life, supervised models use technical indicators to anticipate short-term moves, such as the direction of Bitcoin candles every 15 minutes. Learning without Supervision Unsupervised learning finds hidden patterns in unlabeled data, which is helpful for crypto research. Some uses include discovering flash collapses, grouping comparable assets, and identifying changes in the market regime. These models sort data into groups without any pre-set labels. This shows correlations or outliers that might help traders make decisions. Reinforcement Learning (RL) Reinforcement learning agents learn by trying things out in an environment and getting rewards for actions that make money and punishments for acts that lose money. RL optimizes trading methods on the fly, adapting them to new situations such as market volatility. RL is effective in adaptive crypto scenarios where static rules don't work, even if it requires substantial computing power. How Machine Learning Algorithms Help You Trade Crypto ML models take in data (such as moving averages, RSI, volume, or sentiment ratings) and make predictions (such as price targets or trade signals). Training means feeding it old data, adjusting settings to reduce the likelihood of mistakes, and testing it on data it hasn't seen before to ensure it doesn't overfit. In crypto, models must handle non-stationary data because markets change quickly. To aid this, approaches such as cross-validation and online learning are used. Stacking multiple models is one example of an ensemble method that leverages each model's strengths to improve prediction accuracy and reduce bias. For example, XGBoost is a gradient boosting model that works well with non-linear patterns, while LSTMs are used to predict trends by processing sequential pricing data. Advantages of Using ML Algorithms in Cryptocurrency Trading ML has a lot of benefits in the world of cryptocurrency: Controlling your emotions via automating decisions. Quickly looking at large databases and making trades. Recognizing patterns that are too hard for people to see and finding complicated trends. Being able to change by always learning from fresh information. Platforms stress systematic methods that let rules adapt to changing situations and ensure returns keep improving. Problems and Limits ML has a lot of potential, but it also has some problems: Too much focus on past data makes it hard to perform well in real markets. Complex models like deep learning require substantial computing power. Problems with data quality, such as noise or missing information on the blockchain. Some models are black boxes, which makes them harder to understand. Some risks include technical failures, slippage, and poor responsiveness to changes in the regime. Beginners should start with easy things because implementing them well typically requires experience with code and analysis. Common ML Models and How They Are Used Some popular options include Random Forests for strong classification, LSTMs for time-series prediction, and XGBoost for quickly handling structured data. These appear in studies examining how well Bitcoin forecasts perform, and ensembles often outperform single models. Gradient boosting and ensemble algorithms work well in live trading because they can handle non-linearity and adjust in real time. Getting Started with Machine Learning in Crypto Trading for Newbies Python libraries let beginners look at easy-to-use platforms or simple models. Begin with supervised activities on past data, backtesting techniques, and paper trading. Pay attention to risk management, reducing exposure per trade, and using machine learning alongside classical analysis. Using tools and groups to learn helps people understand, and keeping things simple helps people avoid frequent mistakes. FAQs What is the difference between supervised and unsupervised learning in crypto trading? Supervised learning uses labeled data to predict outcomes, such as price direction, while unsupervised learning finds hidden patterns in unlabeled data, such as clustering assets or detecting anomalies. Which ML model is best for beginners in crypto trading? Random Forests and XGBoost are accessible and robust starting points due to their handling of non-linear data and lower overfitting risk compared to deep learning models. How do LSTMs help in cryptocurrency price prediction? LSTMs, as recurrent neural networks, capture long-term dependencies in sequential price data, making them suitable for forecasting trends in time series like Bitcoin or Ethereum prices. What are the main risks of using machine learning in crypto trading? Key risks include overfitting to past data, leading to poor live performance; high computational requirements; challenges in interpreting complex models; and general trading risks, such as volatility. Can beginners implement ML algorithms without advanced coding skills? Yes, through user-friendly platforms and libraries, but a basic understanding of data analysis improves results; starting with pre-built tools and backtesting is recommended. References Understanding Machine Learning Algorithms in Cryptocurrency Trading: Complete Guide - 3Commas Cryptocurrency Trading Algorithms: Beginner's Guide - NURP

For the first time in ten months, Solana's native token, SOL, has dropped below the psychologically important $100 threshold. This continues a sharp slump that has persisted for weeks and draws traders' attention to support zones. The drop occurs as the rest of the cryptocurrency market faces increased selling pressure, liquidations, and economic changes. Price Action with the Recent Drop As of early February 2026, Solana was worth about $103.04. During the day, it dropped to $96.60 then rose to $106.04. The token dropped to $98.03, its lowest since April 2025, a 10-month low. In the last 24 hours, SOL has dropped almost 6.3%. In the last seven days, it has dropped almost 20%, and in the last 30 days, it has dropped over 25%.  Trading volume fell 26% to $7.63 billion over 24 hours. Open interest in derivatives fell 5% to $6.15 billion, while overall derivatives volume fell 21% to $19.26 billion. These numbers point to capitulation among long positions rather than aggressive new shorting. Indicators of Technology Signal Negative Momentum Solana's daily chart shows that it is still in a bearish pattern, with lower highs and lower lows. The coin is trading considerably below its 20-day and 50-day moving averages, which are both going down. The Bollinger Bands have widened, and the price is hugging the bottom band, indicating that the downward trend is strengthening.  The daily relative strength index (RSI) has dipped to about 25, which means that SOL is very oversold. Analysts say an oversold reading makes a short-term relief rally more likely, but it doesn't mean the negative trend is over. Momentum indicators are still stretched to the downside. Pressures From The Broader Market and The Economy The sell-off is in line with the broader weakness in cryptocurrencies, driven by people selling severely leveraged holdings over the weekend when liquidity was low. After President Trump chose Kevin Warsh, a former Federal Reserve governor who is seen as hawkish, to be the next Fed chair, expectations for tighter U.S. monetary policy have intensified. Geopolitical uncertainties, such as reports of rising tensions between the U.S. and Iran, have made people even more risk-averse, leading investors to choose safer assets over volatile cryptocurrencies like Solana. Even though the price is low, Solana's network fundamentals remain strong. In January 2026, the blockchain processed more than 2.34 billion transactions, a 33% increase over the previous month. It also had more volume than Ethereum, Base, and BNB Chain combined. During the month, U.S. spot Solana ETFs brought in $104 million, while Bitcoin and Ethereum products had net outflows. Outlook: Levels of Support and A Possible Path for A Reversal Technical analysis shows that bulls need to regain control by getting back above $100 and staying above short-term moving averages. If they don't, rallies will likely remain corrective within the bearish framework. If people keep selling, SOL might move toward the next support cluster at $92–$90, then the prior consolidation zone at $85, and finally the macro support zone near $80.  The oversold RSI suggests a probable short-term comeback, but the main structure shows that caution is needed until clear bullish indications appear. As traders keep an eye on these important levels, Solana's ability to avoid further losses will depend on a return to stable sentiment and increased purchasing demand amid persistent macroeconomic uncertainty.