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Federal Regulators Want Stablecoins to Keep Working Without ID Checks



Federal regulators in the United States have finally shown their hand on one of the biggest unanswered questions around stablecoin policy, and the answer is less draconian than many in crypto likely expected. The newly released proposal from the Federal Reserve and others would require stablecoin issuers to run bank-style identity checks on their direct customers, but it also makes clear that ordinary users can keep sending stablecoins around on secondary markets in a peer-to-peer manner without the issuer having to collect any personal information about them. The proposal is currently at the “request for comment” stage and not a final rule. It comes from a joint group of federal regulators, including the Financial Crimes Enforcement Network (FinCEN), the Office of the Comptroller of the Currency (OCC), the Federal Reserve Board, the Federal Deposit Insurance Corporation (FDIC), and the National Credit Union Administration. The agencies say the proposal is meant to implement the GENIUS Act’s requirement that permitted payment stablecoin issuers be treated as financial institutions for Bank Secrecy Act purposes and maintain an effective customer identification program. In plain English, the U.S. federal government is moving toward formal anti-money laundering (AML) and identity-checking rules for stablecoin issuers. But it is not, at least in the proposal’s current form, trying to force issuers to identify every person who ever touches a stablecoin token. That is a meaningful clarification of how the GENIUS Act may be implemented, and it suggests the agencies are trying to fit stablecoins into a bank regulatory framework without breaking the basic way these assets already circulate and function.

Would Identifying Users Be “Nearly Impossible?” Early coverage of the notice from some crypto media outlets has focused on the bank-style ID checks the proposal imposes on stablecoin issuers’ direct customers, with less attention going to the arguably more consequential decision of allowing stablecoins to keep circulating on the secondary market without requiring the issuer to identify individual users. With the proposal indicating federal regulators are mostly fine with the way things already work in practice, it is likely incorrect to view this as some sort of clampdown on the level of privacy found with stablecoins. The proposal draws a sharp distinction between the primary market, where an issuer directly issues or redeems stablecoins for a customer and should implement customer identity verification measures, and the secondary market, where tokens move between other parties and the issuer is not really involved except through the associated smart contract.

In terms of the regulatory agencies’ thoughts on the specific point of tracking every last one of stablecoin issuers’ end users, the proposal states, “Imposing an obligation where any payment stablecoin transfer could, for purposes of a (Customer Identification Program) obligation, result in a customer and account relationship with a (Permitted Payment Stablecoin Issuer) would essentially impose on PPSIs a global obligation to collect and verify identifying information of individual users. FinCEN and the Agencies assess that such a CIP obligation would be nearly impossible for PPSIs to implement and could potentially cripple the industry.” While it is definitely true that requiring ID verification for every secondary-market stablecoin user would likely upend the industry, it is not hard to imagine how such restrictions could be imposed if regulators ever decided to go there. The most obvious path would be address whitelisting, where issuers only allow tokens to move to blockchain addresses that have completed AML and Know Your Customer (KYC) checks. Indeed, that possibility has hung over the stablecoin market for years. So, while the agencies are right that universal secondary-market verification would be disruptive, the real significance here is that they are signaling they are simply not choosing that route right now, not that such a regulatory environment would be impossible to implement.

One reason regulators may be comfortable with how things currently work is that stablecoins on public blockchains do not operate with the properties originally envisioned for digital cash by the cypherpunks some decades ago. In fact, they’re much more akin to complete financial panopticons. Sure, stablecoin transfers can be pseudonymous in the narrow sense that not every blockchain address or wallet is labeled with a legal identity by the issuer. But the crypto networks upon which these tokens are issued are completely public and transparent. Blockchain analytics firms specialize in linking wallet clusters to real people and institutions, and stablecoin activity is heavily concentrated around centralized exchanges and other regulated custodians that already collect plenty of information about their users. For example, one firm, Chainalysis, released a report earlier this year that covered the rise in the use of stablecoins for illicit purposes to record levels in 2025. In other words, much of the transaction graph is already effectively doxxed. As former Commodity Futures Trading Commission (CFTC) Chairman Chris Giancarlo once bluntly stated, “Let’s get one thing clear as custard here, okay. There’s no privacy in stablecoins. None. Zero.” It’s possible that some traditional banks will offer their perspectives on this proposed regulatory framework for stablecoins during the 60-day comment period window. JPMorgan Chase CEO Jamie Dimon made headlines when he blasted Coinbase CEO Brian Armstrong as “full of shit” on crypto regulation in a recent interview, and during that same interview, he also argued that stablecoins do not currently have proper AML requirements. Those comments could be a preview of the kind of pushback regulators will hear from incumbent financial institutions that would prefer a system with fewer gaps between traditional banks and stablecoins when it comes to compliance expectations.

It also appears that these sorts of comments from the traditional banking industry, if they indeed end up providing them, would be listened to closely by regulators. “I remain concerned(…) that the GENIUS Act regulatory framework does not do enough so far to address the risks of illicit finance conducted through secondary market transactions in payment stablecoins,” said Federal Reserve Governor Michael S. Barr in a statement. “While some digital asset service providers are subject to anti-money laundering and anti-terrorist financing requirements in their home jurisdiction, it is far too easy for bad actors to evade these restrictions and operate without detection when transacting in digital assets. I will carefully review comments in response to the proposal’s questions regarding whether any portions of the CIP rule should be extended to secondary market activity.” This is not the first time Barr has publicly commented on the potential risks of stablecoins being used for illicit activity, as he previously noted in 2022, “As banks explore different options to tap into the potential of the technology, it is important to identify and assess the novel risks inherent in those models and whether those risks are surmountable. For instance, with some models that are being explored, the bank may not be able to track who is holding its tokenized liability or whether its token is being used in risky or illegal activities.”

For now, the proposal suggests regulators are willing to tolerate the regulatory arbitrage available to firms that put dollar liabilities onto public blockchains rather than internal database systems. Of course, that does not mean stablecoins are uncontrollable or permissionless in any technical sense. Issuers still retain extraordinary power over their dollar-pegged tokens, including the ability to freeze or blacklist funds. This is something the Iranian regime recently found out the hard way when Tether froze $344 million of assets tied to Iran on behalf of the U.S. government.



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NASA’s Perseverance Rover Has Traveled The Distance Of A Marathon On Mars



It did so in just five years.




NASA JPL

Perseverance is officially a marathon finisher. NASA shared this week that the Mars rover has surpassed a total distance of 26.2 miles since it landed on the red planet five years ago. Considering its speed tops out at .1 mph under the best conditions, that’s a pretty remarkable achievement. It crossed the marathon mark on June 14, according to NASA. “Perseverance is only the second explorer to travel the distance of a marathon on another world, following NASA’s Opportunity rover, which accomplished the feat in 2015,” the space agency wrote in an Instagram post. 

By comparison, it took Opportunity 11 years and two months to cover that much ground. The Curiosity rover, which has been on Mars since 2012, has driven just over 23 miles. Perseverance “crossed the milestone while exploring intriguing, ancient terrain to the west of Jezero Crater, where the robotic geologist discovered the remnants of an ancient lake, and possible signs of ancient life,” NASA said. The rover recently sent back images from its western excursion, which included a selfie.



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ZhuLinsen/daily_stock_analysis: LLM-driven multi-market stock intelligent analysis system: multi-source quotes, real-time news, decision-making boards and automatic push, supporting zero-cost scheduled operation. LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs. · GitHub



💖 Sponsors (Sponsors) Capability coverage content AI decision-making report core conclusions, ratings, trends, buying and selling points, risk alerts, catalytic factors, operation checklist Multi-market data aggregation A-shares, Hong Kong stocks, US stocks, ETFs: quotes, K-line, technical indicators, capital flow, chips, news, announcements and fundamentals; Japanese stocks/Korean stocks (.T / .KS / .KQ): YFinance Daily and basic market conditions and technical indicators are available. capital_flow, dragon_tiger, boards and some high-level blocks will be downgraded to not_supported according to market boundaries (see market support boundaries). Web/desktop workbench manual analysis, task progress, historical reports, complete Markdown, backtesting, positions, configuration management, light/dark theme Agent strategy stock inquiry for multiple rounds, supports moving averages, winding theories, waves, trends, hot spots, events, growth, expectations, etc. 15 A built-in strategy covering Web/Bot/API intelligent import and picture completion, CSV/Excel, clipboard import; stock code/name/pinyin/alias completion automation and push GitHub Actions, Docker, local scheduled tasks, FastAPI service and enterprise WeChat/Feishu/Telegram/Discord/Slack/email push function details, field contract, fundamental P0 timeout semantics, transaction discipline, data source priority, Web/API See the full configuration and deployment guide for behavior. See data source configuration for complete rules. Deploy in 5 minutes, zero cost, no server required. Click the Fork button in the upper right corner (click Star⭐ to support it by the way) Settings → Secrets and variables → Actions → New repository secret AI model configuration (configure at least one) By default, select a model service provider and fill in the API Key; when you need multiple models, image recognition, local models or advanced routing, refer to the LLM configuration guide. Secret name description is required. ANSPIRE_API_KEYS Anspire API Key. One Key enables global popular large models and Internet search at the same time. No need for scientific Internet access. It includes free quota. Recommended AIHUBMIX_KEY AIHubMix API Key. One Key can switch to use all models. No scientific Internet access is required. This project can enjoy 10% discount. Recommended GEMINI_API_KEY Google Gemini API Key Optional ANTHROPIC_API_KEY Anthropic Claude API Key Optional OPENAI_API_KEY OpenAI compatible API Key (supports DeepSeek, Tongyi Qianwen, etc.) Optional OPENAI_BASE_URL / OPENAI_MODEL Fill in the optional Ollama when using OpenAI compatible services. Ollama is more suitable for local/Docker deployment. GitHub Actions recommends using the cloud API. Notification channel configuration (configure at least one) Secret Name Description WECHAT_WEBHOOK_URL Enterprise WeChat Bot FEISHU_WEBHOOK_URL Feishu Bot TELEGRAM_BOT_TOKEN + TELEGRAM_CHAT_ID Telegram DISCORD_WEBHOOK_URL Discord Webhook SLACK_BOT_TOKEN + SLACK_CHANNEL_ID Slack Bot EMAIL_SENDER + EMAIL_PASSWORD For configurations such as more channels for email push, signature verification, grouped emails, Markdown conversion to images, etc., please see the detailed configuration of notification channels. Optional stock configuration (required) Secret Name Description Required STOCK_LIST Optional stock code, such as 600519, hk00700, AAPL, 7203.T, 005930.KS ✅ News source configuration (recommended) News sources will significantly affect the quality of public opinion, announcements, events and catalytic factors. It is recommended to configure at least one search service. Secret name description is required ANSPIRE_API_KEYS Anspire AI Search: Chinese content is specially optimized, suitable for A-share news and public opinion retrieval; the same Key can be reused for Anspire large models Recommended SERPAPI_API_KEYS SerpAPI: Search engine result enhancement, suitable for real-time financial news recommendation TAVILY_API_KEYS Tavily: General news search API optional BOCHA_API_KEYS Bocha Search: Chinese search optimization, supports AI Summary optional BRAVE_API_KEYS Brave Search: privacy priority, US stock information enhancement optional MINIMAX_API_KEYS MiniMax: structured search results optional SEARXNG_BASE_URLS SearXNG Self-built instance: no quota, suitable for private deployment Optional more search sources, social public opinion and downgrade rules, see the search service configuration. Actions tag → I understand my workflows, go ahead and enable them Actions → Daily stock analysis → Run workflow → Run workflow is automatically executed every **working day at 18:00 (Beijing time)** by default, and can also be triggered manually. By default, it will not be executed on non-trading days (including A/H/US holidays); please refer to the complete guide for rules such as forced operation, trading day check, and breakpoint resuming. # Clone the project git clone https://github.com/ZhuLinsen/daily_stock_analysis.git && cd daily_stock_analysis # Install dependencies pip install -r requirements.txt # Configure environment variables cp .env.example .env && vim .env # Run analysis python main.py Common commands: python main.py –debug python main.py –dry-run python main.py –stocks 600519,hk00700,AAPL python main.py –market-review python main.py –schedule python main.py –serve-only Please refer to the complete guide for Docker deployment, scheduled tasks, and cloud server access; for desktop client packaging, please refer to the desktop packaging instructions. 🎯 2026-02-08 The decision-making dashboard analyzed a total of 3 stocks | 🟢Buy: 0 🟡Wait and see: 2 🔴Sell: 1 📊 Summary of analysis results⚪ Chinatungsten High-tech (000657): Wait and see | Rating 65 | Bullish ⚪ Yongding Shares (600105): Wait and see | Rating 48 | Shock 🟡 Xinlai Materials (300260): Sell | Rating 35 | Short ⚪ Chinatungsten High-tech (000657) 📰 Quick overview of important information 💭 Public sentiment: The market is paying attention to its AI attributes and high performance growth, and the sentiment is positive, but it needs to digest short-term profit taking and main outflow pressure. 📊 Performance expectations: Based on public opinion information, the company’s performance in the first three quarters of 2025 will increase significantly year-on-year, and its fundamentals are strong, providing support for the stock price. 🚨 Risk Alert: Risk Point 1: On February 5, main funds sold a substantial net amount of 363 million yuan, so beware of short-term selling pressure. Risk point 2: The concentration of chips is as high as 35.15%, indicating that the chips are dispersed and the resistance to rising may be greater. Risk point 3: Public opinion mentions the company’s historical violation records and restructuring-related risk reminders, so you need to pay attention. ✨ Positive catalyst: Positive 1: The company is positioned as a core supplier of AI server HDI by the market and benefits from the development of the AI ​​industry. Good news 2: Non-net profit in the first three quarters of 2025 surged 407.52% year-on-year, with strong performance. 📢 Latest news:[Latest news]Public opinion shows that the company is the leader in the field of AI PCB micro-drilling and is deeply tied to the world’s leading PCB/carrier board manufacturers. On February 5, the net sales of main funds were 363 million yuan, so we need to pay attention to the subsequent flow of funds. — Generation time: 18:00 🎯 2026-01-10 Market review📊 Major indexes – Shanghai Composite Index: 3250.12 (🟢+0.85%) – Shenzhen Composite Index: 10521.36 (🟢+1.02%) – GEM Index: 2156.78 (🟢+1.35%) 📈 Market overview Increase: 3920 | Decline: 1349 | Upper limit: 155 | Lower limit: 3 🔥 Sector performance led the increase: Internet services, cultural media, small metals led the decrease: insurance, aviation airports, photovoltaic equipment complete environmental variables, model channels, notification channels, data source priority, trading discipline, fundamentals P0 See the full configuration guide for semantics and deployment instructions. The web workbench provides configuration management, task monitoring, manual analysis, historical reports, complete Markdown reports, Agent stock inquiry, backtesting, position management, smart import and light/dark themes. Startup method: python main.py –webui python main.py –webui-only Access http://127.0.0.1:8000 to use. For details on authentication, smart import, search completion, historical report copying, cloud server access, etc., please see the local WebUI management interface. After configuring any available AI API Key, the strategy can be used to ask stocks on the Web/chat page; if you need to explicitly turn it off, you can set AGENT_MODE=false. Supports built-in strategies such as moving average golden cross, entanglement theory, wave theory, bull trend, hot topics, event-driven, growth quality, expected revaluation, etc. Supports real-time market conditions, K-lines, technical indicators, news and risk information calls. Supports multiple rounds of questioning, session export, sending to notification channels and background execution. Supports custom strategy files and multi-Agent orchestration (experimental). See the complete guide and LLM configuration guide for Agent specific parameters, skill naming compatibility, multi-Agent mode and budget guardrails. 🧩 Related Projects (Related Projects) DSA focuses on daily analysis reports; the following two projects in the same series cover stock selection, strategy verification and strategy evolution respectively, and are suitable for extended use on demand. They are currently maintained independently, and will prioritize the exploration of candidate stock import, backtest verification and reporting linkage with DSA in the future. The project positions AlphaSift multi-factor stock selection and market-wide scanning, which is used to extract candidate targets from the stock pool. AlphaEvo strategy backtesting and self-evolution are used to verify strategy rules and explore strategy parameters and combinations through iteration. MIT License © 2026 ZhuLinsen You are welcome to indicate the source of this warehouse during secondary development or citation. Thank you for supporting the continued maintenance of the project. This project is for study and research purposes only and does not constitute any investment advice. There are risks in the stock market, so investment needs to be cautious. The author is not responsible for any damages arising from the use of this project.



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