Taking advantage of the New Year holiday, I went online to apply for a Hong Kong card. My overall itinerary arrangement is as follows: after arriving in Hong Kong, find a place with a better network (like McDonald's), order a drink, and then I can start applying one by one. The entire process takes about half an hour. Among these banks, the fastest was Zhong An, the information filled in was not too much, and the process was the smoothest. HSBC was next, the content filled in was relatively more, but in the end, it was approved. Tianxing is still under review. Bank of China Hong Kong is the most troublesome, I scanned my ID several times but it couldn't be recognized, I could only exit and fill it in again. In the end, the application still failed. I tried two more times but encountered the same situation. I searched on Xiaohongshu and it said that there are failed records in the background, and as long as the first application is not approved, you can forget about clearing the record within a month. I had to give up and left McDonald's with the successfully approved HSBC, Zhong An, and the under-review Tianxing.
BNP Paribas today launched Bitcoin and Ethereum ETNs in France, which feel quite convenient and make it easier for people to invest in these. Bitcoin is currently hovering around $66,759, with mixed indicators; the 2-year Treasury auction was a bit weak, raising concerns about inflation. Let's take a look first, hesitate for a while #Bitcoin ETF price war
Bitcoin is swaying at $66,000 today, falling below 69K, with the crypto market evaporating 80 billion on March 26. Traders say there won't be a bull market in the short term, but on-chain signals like Glassnode showing profits down by 96%, hash rate down by 22%, and MVRV at 1.2 suggest a bottom. Ethereum jumped by 4%, but BTC, ETH, SOL, and ADA all declined due to the war risk in Iran. In the past month, ETF inflows were 2.5 billion, and net outflows from exchanges show institutions are accumulating, perhaps betting on a rebound? #BTC行情 #Tether审计
Seeing the Atlantic Monthly say that the boom in AI data centers has led to multi-dimensional economic disasters, AI stocks have fallen by 8-27% this year, and super-large companies are issuing bonds worth $121 billion in 2025, which is four times more than before. Time magazine also calls for preparing for the AI bubble. Is this just another hype? But OpenAI shut down the Sora application after only 6 months, realizing that those video generation technologies are hard to implement. Think about how Macy's AI chatbot increased consumption by 4.75 times; it might really be useful, but others don't seem to mention the specific issues of electricity and debt much. Perhaps human judgment is the only way to avoid these pitfalls. #AI
Iran's foreign minister said there are no plans to negotiate with the United States to end the war, and the Pentagon is set to send up to 3,000 U.S. troops to the Middle East. Iran is also striking against Gulf countries, the Philippines has declared an energy emergency, and Lebanon has expelled the Iranian ambassador. All these geopolitical events together, I feel they have a significant impact on technology and energy. California Governor Newsom said the defeat of Meta and YouTube is a moment of reckoning for big tech, perhaps reminding us of the need for balance? Those diplomatic details feel much more reliable than algorithm predictions. #特朗普称对伊战争已胜利
The outlook for the crypto market says that March has AI fears and DeFi rotation, but BTC holds steady at 71K. I think institutions are stabilizing the market. South Korea opposes crypto taxes, and the Altcoin index 51 suggests that small coins are about to move. Ethereum's SuperTrend is turning bullish, and Bitmine is significantly increasing its coins. Consider the political chaos like Iran continuing to strike in the Gulf, where those specific risks directly impact wallets more than the AI apocalypse warnings. Perhaps the market is betting that human judgment prevails over speculation, and those historical pattern details are interesting. #亚洲股市重挫
BTC has rebounded from 67,551 and is now hovering around 70,600 dollars. Bernstein predicts it has bottomed out, aiming for 150,000 by the end of the year. March turned positive, ending the decline seen in the first two months of 2026. However, cryptocurrency futures liquidations have evaporated 400 million dollars, with bears dominating. I find it interesting that this has a more direct impact on wallets than any AI news. Perhaps institutions are stabilizing the market, while others have not paid much attention to those historical pattern details. #金价连续第十天下跌
Zhang Xuefeng has left us, leaving behind many thoughts. As an educational internet celebrity, he often analyzes professional prospects in detail during his live broadcasts, addressing practical issues such as employment paths for liberal arts students, helping many underprivileged students. I am also part of the liberal arts army, and in terms of employment usability, I have benefited greatly from Teacher Zhang. He came from a low background but devoted his life to students; however, he was also constantly controversial. Some say he is a traffic manipulator, using college entrance examination anxiety to sell courses for profit. Whether this is a bad thing is subjective, as he did provide value. Even before his passing, he was busy; on March 22, he clocked in a 7-kilometer run, looking quite healthy. Who would have thought that yesterday he suffered a cardiac arrest, and resuscitation was unsuccessful? Three years ago, he was hospitalized for chest tightness and palpitations, which had long been a warning sign. In 2018, he publicly stated that his most desired way to die was a sudden death, not wanting to burden others. Looking back now, it is quite poignant. The AC Milan club even mourned him, indicating his cross-border influence. Someone of his caliber was already free, yet he still worked so hard, perhaps reminding us that life shouldn't be so intense; no matter how accurate human judgment is, we must also take care of our bodies. Rest in peace, Teacher. #张雪峰 #特朗普缓和局势
Seeing that the AI Agent market is expected to jump from 8.29 billion to 12.06 billion this year, with a CAGR of 45.5%, and exceeding 53 billion by 2030. The numbers are quite attractive, but I'm not so sure if this will be another round of hype, ignoring the adjustments that require human intuition during actual deployment. For example, Oracle's newly opened AI center in Sydney sounds like it helps businesses transform, but when it comes to implementation, who will oversee those cultural nuances? #CZ称比特币是硬资产
The era of AI agents has arrived, with companies like Palantir and Salesforce showcasing their strength. However, in the market, AI stocks have fallen by 5% this year, while other sectors are performing well. It's quite interesting; perhaps people are starting to doubt the hype and are focusing more on actual performance? I'm not too sure, but maybe human taste still has a say in the AI frenzy. #OpenAI拟推出桌面超级应用
BTC is stable at around $68,000 today, with no significant fluctuations. However, Strategy Company raises funds almost every week just to buy large amounts of BTC, which makes me feel that the market is creating a kind of lasting demand. Perhaps this can stabilize prices, but I am not sure if it will make small retail investors feel marginalized, as institutions are acting so frequently. #币安KOL引荐计划
Meta is cutting 15,800 jobs, claiming that AI infrastructure is too expensive. However, they simultaneously signed a $27 billion cloud computing deal, with this year's capital expenditures potentially reaching $135 billion. Is this really a cash shortage or just a way to appease Wall Street? It feels a bit like spending with one hand while cutting jobs with the other; the numbers look good, but it's uncertain how long this logic can hold up. #meta
Citigroup cut its Bitcoin target from 143,000 to 112,000, and Ethereum has also dropped to 3,175, citing that U.S. legislation is too slow and the ETF catalyst window has shrunk. However, I noticed that the SEC just issued new guidance clarifying which coins are considered securities, a detail that others seem to have overlooked. Perhaps this guidance can stabilize the market a bit, but I'm not sure if the legislative delays will cause institutions to continue to wait and see. #比特币突破7.5万美元
Reading that Jensen Huang said at GTC that the AI chip market could reach one trillion by 2027, and also showcased AI games and robots. $NEAR , $FET these AI coins have risen as well. I think this number is quite scary, but I'm not sure if it's just piling up computing power while ignoring the trivial issues of power supply and cooling during actual application deployment. It might just be a show, but the quick reaction of those tokens makes one feel that the market is betting on the next Nvidia. #英伟达GTC大会
Recently, the farming of lobsters has reached new heights. Since @Chainbase Official partnered with OpenClaw to connect to Loudy, my lobsters can really make money on their own. In the past, farming lobsters was just watching them crawl around, but now, once configured, they can automatically go to Loudy to accept tasks, post content at Binance Square, and after completion, automatically settle and bring the money home, just like having a pet that can work. Speaking of this, I have to mention #Chainbase 's recent upgrade. They are now positioned as a Crypto Data Database for AI Agents, specifically providing data services for AI Agents. $C has also been performing quite impressively, surging against the trend on the 15th, and the utility of the tokens has truly been realized. This wave from OpenClaw allows lobsters to make money automatically, supported by Chainbase's Agent Native data services. Lobsters need to access on-chain data, understand tasks, and execute automatically, all of which rely on underlying data support. The AI Agent track is becoming more and more interesting; in the past, we said let AI help you work, now it's about letting your virtual pet help you make money. This shift is quite magical.
Bitcoin broke 74K, and ETH is also approaching 2,300. Analysts are all calling for 75K. But I noticed that this wave of increase is mainly due to ETF funds coming in, plus the tense situation in the Middle East has everyone looking for safe-haven assets. Maybe this time is different, but every time it's 'this time is different', I always wonder if retail investors are buying at a high again. #AI交易指南
BTC broke 73K, ETH has also surpassed 2.2K, signs of institutional buying are obvious, coupled with supply tightening pushing up prices. It feels like the market is heating up again, but I am skeptical that this wave of increase might just be a short-term squeeze, uncertain how long it can last. Perhaps the institutions are stockpiling, but they overlook the details of retail investor sentiment fluctuations, always feeling a potential pullback could happen at any time. #比特币升回7万
The Iran war is on, and AI-generated fake videos and images are everywhere on social media, many of which promote pro-Iran views and exaggerate their military strength. For example, that fake video showing Tel Aviv being bombarded by missiles has millions of views. I'm wondering, with how quickly these things spread, is the platform's algorithm contributing to this? It might just be a coincidence, but ignoring the details of how these fakes slip into mainstream discussions is quite dangerous. #特朗普称伊朗战事接近尾声
By saving the cost of one takeout meal a day, you can save 10,000 yuan in real money in the cryptocurrency world over a year
Last night while reviewing the transaction records, I saw my fee expenditure for the month: 28U This is just one month, and in a year it amounts to 336U, which is roughly 2400 Chinese yuan at the exchange rate. Enough for how many takeout meals for me... Those little amounts of money that are overlooked 3.8U in fees doesn't seem like much, just the price of a takeout meal. The key is this "just", which makes us lose our vigilance. If you are a frequent trader, opening positions three or four times a day is quite normal, right? That means at least 10U in fees a day, 300U a month, and 3600U a year. At an exchange rate of 7, that amounts to 25200 yuan
Amazon requires employees to use AI everywhere, but several employees say it has actually slowed down their work. Their internal tool Kiro often produces error codes, and the generated content has to be checked and fixed line by line, sometimes rewriting it directly is faster. It sounds like it's AI for the sake of AI, pushing tools without considering their suitability for specific scenarios. I think maybe the management is too eager to showcase AI results, ignoring the trivial troubles that employees face during actual debugging. This top-down technology promotion may backfire in the short term, causing people who were originally interested in AI to become resistant. #AI交易指南 #亚马逊股东提议比特币投资