📢 MyStonks has completed the STO filing in the United States, solidifying the foundation of compliance! Dear users: MyStonks is honored to announce that it has successfully completed the filing for the Security Token Offering (STO) in the United States, officially obtaining the qualification to issue security tokens in compliance with U.S. regulations. This filing signifies that MyStonks has met strict compliance standards in all core modules, including product architecture, information disclosure, investor qualifications, and asset custody, thereby reinforcing the legal and trustworthy foundation of the platform's digital securities products. As a compliant financing method that digitizes and securitizes real assets, STO is strictly regulated by the U.S. SEC, with high barriers to entry and complex processes. MyStonks, by investing ample resources in compliance and continuously pursuing technological innovation, has become one of the few trading platforms globally to complete this certification, establishing a first-mover advantage in the industry. This compliance breakthrough not only enhances investment safety and transparency but also lays a solid foundation for MyStonks' future strategic layout in the global digital securities issuance, custody, and trading fields. The platform will continue to focus on compliance as its core, driven by technology, to promote the steady development of the digital securities ecosystem and lead security tokens towards large-scale application. Thank you for your support and trust in MyStonks! 👉 #MyStonks #STO #SecurityToken #ComplianceInnovation #DigitalAssets #BlockchainFinance

Today, I watched a demo video of #Claude AI by @AnthropicAI, and I was amazed. As a professional investor, US stock companies + #Web3 projects have to be watched hundreds every year, especially the earnings season is simply a battlefield! For example, this kind of practical case in the video is still relatively common: as soon as the office sat down, at 2 p.m., the PM (investment director) rushed in: "Sarah, the company we are focusing on, Velocity Athletic, has just released its earnings report, and its revenue has plummeted by 12%, but its stock price has actually risen by 17% to $71. Can you figure it out to me, is this wave of rise a positive strategy stimulus or a false rebound? Before today's close, you have to make a decision, whether to sell and take profit, or continue to hold. ” In fact, this logic is like the non-farm payroll data + 56 employment data revised downward for two months this Friday (260,000 jobs were cut in May + June, which is equivalent to the sudden unemployment of the entire population of Miami). In this case, you have to make a judgment and decision as soon as possible, and immediately feed back to the US stocks that have not yet opened, and crypto assets to hedge, which requires immediate response and data support, which will effectively avoid this wave of killing over the weekend. Let's take a look at the path of a normal financial analyst (expected 4-5 hours): 1️⃣Go to S&P Global to pull financial reports and meeting minutes 2️⃣ Open FactSet / Morningstar to see historical data and valuations 3️⃣ Cut Edgar to check the SEC announcement 4️⃣ Mining the history of the intranet memo and research report 5️⃣ Then make tables, draw pictures, and write memos This operation takes at least 4~5 hours, and it takes several systems to be manually cut, and the information is inconsistent and prone to errors. 💡 At this time, #Claude appeared, it really felt like I had an extra super analyst assistant: Directly give #Claude instructions: "Help me comprehensively analyze Velocity Athletic's financial report performance, whether the stock price change is reasonable, and issue an investment memo." ” 🔍 1️⃣Multi-platform synchronous pulling data + semantic understanding Claude doesn't simply crawl data, it understands the context I need: · Extract key information from S&P Global to extract key information, such as the CFO's mention in a Q&A that "margins fell by 400 basis points due to tariffs"; · Pull out historical data and opponent comparisons from Morningstar; I found the Velocity analysis framework that I had written about in the past from our company's internal documentation (box); · Scrape 8 quarters of financial data from Delupa to create trend charts directly; · All content is marked with the source, and you can click in at any time for secondary confirmation, which greatly improves compliance and trust. 📊 2️⃣ Generate visual charts + core models Q#Claude: "Help me make an annotated price chart, peer valuation comparison table, and DCF model." ” It implements step by step: · Stock price charts marking events (showing CFO reductions, emergency board meetings, financial report release times, etc.); · A clear comps table: Velocity's EV/EBITDA is 21 times, the industry average is only 16 times, and the valuation is high; · A complete DCF model: clear assumptions, freely switching scenarios, even WACC calculations are standard. · The reasonable stock price calculated by the model: $54, far lower than the current $71, indicating that the current rise is optimistic and the bubble component is large. 📝 3️⃣ Automatically generate institutional-grade investment memos Finally, I said, "Use our fund's internal template to make a memo for PM's reference." ” Claude directly calls the memo template on the intranet and automatically populates with the following: Recommended conclusion: It is recommended to sell at a high point to make a profit, and wait for the price to pull back before opening a position; Logical support: quantitative support from financial fundamentals, market reactions, industry comparisons, valuation deviations and other dimensions; Potential risks: For example, if tariffs are eased in the future and CFOs reduce their holdings for other reasons, it may lead to further fluctuations in stock prices; Clear citations: All data with links to the original source for PM or legal review. Watching the entire video demo, I think #Claude is completely the "#AI nuclear weapon" of financial report analysis, and there are still relatively few API data interfaces supported by encrypted data, which can become the killer feature of #Web3 investment research if it is improved in the later stage. If we used to do project analysis to "fly with ten fingers + nine screens to check data + use five heads together", now with #Claude, it is like having a gold medal analyst who does not go offline 24 hours a day, and does not shout overtime, and efficiency takes off 📈!

Since the introduction and recommendation of this #AI+ insurance company, it has basically risen 📈 every day! 😂

The probability of interest rate cuts is changing really fast! Before Friday's non-farm payrolls, in September, the probability of no rate cut was 63%, and the probability of a 25 basis point rate cut was 35% After Friday's non-farm payrolls, especially after the revision of the May-June data, the probability of no rate cut in September is 21%, and the probability of a 25 basis point rate cut is 71% But regardless of the probability of interest rate cuts, everyone's panic about economic recession and whether there are other macro data frauds are even more worrying! 🧐

The probability of interest rate cuts is changing really fast! Before Friday's non-farm payrolls, in September, the probability of no rate cut was 63%, and the probability of a 25 basis point rate cut was 35% After Friday's non-farm payrolls, especially after the revision of the May-June data, the probability of no rate cut in September is 21%, and the probability of a 25 basis point rate cut is 71% But regardless of the probability of interest rate cuts, everyone's panic about economic recession and whether there are other macro data frauds are even more worrying! 🧐

The Fed's interest rate changes are mainly voting, with 2 chairmen (chief and deputy), 5 governors, and the president of the Federal Bank of New York + 4 of the 11 local federal bank presidents, a total of 12 people. And every personnel change in the Fed will affect the market's expectations for future interest rates. The upcoming replacement of Fed governors, and the new appointments are likely to be directly appointed by Trump, which may have an important impact on the Fed's future monetary policy direction. I guess the newly appointed person is likely to be Powell's potential successor, as Powell's term is coming to an end. It is expected that this new director will definitely be a "big pigeon" and will cooperate with Trump to accelerate interest rate cuts. This can also be regarded as injecting certain positive expectations into the market (but expectations are expectations, and landing is landing, these are two different things) Under this expectation, there is a high probability that U.S. Treasury yields may fall first, risk assets (especially Nasdaq constituent stocks) will rise in advance, and funds will return to the stock market 🧐 Therefore, this is Trump's bull market, although the macroeconomy is a little unsustainable, but it has been artificially giving a boost. Maintaining next year's midterm elections is also a top priority! 🧐

The essence of the economic cycle is the dollar tidal cycle. The average cycle lasts 4.5 to 5 years. 2.5 years of rising phase (Kitchin expansion) 2 years of falling phase (Kitchin contraction) From Q1 2023 to now, we are immersed in the rising phase. The falling phase may be approaching. Typical characteristics near the peak: 1️⃣ High-frequency wide fluctuations 2️⃣ Chaotic macro data 3️⃣ Obvious increase in trading volume 4️⃣ Public sentiment at a new high Strategy: Liquidity first, yield second, low tolerance for errors, prevent drawdowns, and preserve the gains!

Life is only 30,000 days I only have 11,768 days left A hundred years later We struggle all our lives I can't take away a single grass or tree We persist all our lives I can't take away a vain love Life is so short We don't have time to argue There is no time to be sad There is no time to worry about it We only have time to love and enjoy Weekends are a good time to recharge Put down the market and bring your family Go, hit the road, feel, experience

The three treasures of middle-aged men, the girl, Moutai, and Archaeopteryx! The three treasures of the middle-aged girl, LV, lulu, and Archaeopteryx! All of them are 📉 numb, generally depending on whether the consumption is good or not, whether the residents have money in their hands, just look at these 4 stocks! 😅

Today, I watched a demo video of #Claude AI by @AnthropicAI, and I was amazed. As a professional investor, US stock companies + #Web3 projects have to be watched hundreds every year, especially the earnings season is simply a battlefield! For example, this kind of practical case in the video is still relatively common: as soon as the office sat down, at 2 p.m., the PM (investment director) rushed in: "Sarah, the company we are focusing on, Velocity Athletic, has just released its earnings report, and its revenue has plummeted by 12%, but its stock price has actually risen by 17% to $71. Can you figure it out to me, is this wave of rise a positive strategy stimulus or a false rebound? Before today's close, you have to make a decision, whether to sell and take profit, or continue to hold. ” In fact, this logic is like the non-farm payroll data + 56 employment data revised downward for two months this Friday (260,000 jobs were cut in May + June, which is equivalent to the sudden unemployment of the entire population of Miami). In this case, you have to make a judgment and decision as soon as possible, and immediately feed back to the US stocks that have not yet opened, and crypto assets to hedge, which requires immediate response and data support, which will effectively avoid this wave of killing over the weekend. Let's take a look at the path of a normal financial analyst (expected 4-5 hours): 1️⃣Go to S&P Global to pull financial reports and meeting minutes 2️⃣ Open FactSet / Morningstar to see historical data and valuations 3️⃣ Cut Edgar to check the SEC announcement 4️⃣ Mining the history of the intranet memo and research report 5️⃣ Then make tables, draw pictures, and write memos This operation takes at least 4~5 hours, and it takes several systems to be manually cut, and the information is inconsistent and prone to errors. 💡 At this time, #Claude appeared, it really felt like I had an extra super analyst assistant: Directly give #Claude instructions: "Help me comprehensively analyze Velocity Athletic's financial report performance, whether the stock price change is reasonable, and issue an investment memo." ” 🔍 1️⃣Multi-platform synchronous pulling data + semantic understanding Claude doesn't simply crawl data, it understands the context I need: · Extract key information from S&P Global to extract key information, such as the CFO's mention in a Q&A that "margins fell by 400 basis points due to tariffs"; · Pull out historical data and opponent comparisons from Morningstar; I found the Velocity analysis framework that I had written about in the past from our company's internal documentation (box); · Scrape 8 quarters of financial data from Delupa to create trend charts directly; · All content is marked with the source, and you can click in at any time for secondary confirmation, which greatly improves compliance and trust. 📊 2️⃣ Generate visual charts + core models Q#Claude: "Help me make an annotated price chart, peer valuation comparison table, and DCF model." ” It implements step by step: · Stock price charts marking events (showing CFO reductions, emergency board meetings, financial report release times, etc.); · A clear comps table: Velocity's EV/EBITDA is 21 times, the industry average is only 16 times, and the valuation is high; · A complete DCF model: clear assumptions, freely switching scenarios, even WACC calculations are standard. · The reasonable stock price calculated by the model: $54, far lower than the current $71, indicating that the current rise is optimistic and the bubble component is large. 📝 3️⃣ Automatically generate institutional-grade investment memos Finally, I said, "Use our fund's internal template to make a memo for PM's reference." ” Claude directly calls the memo template on the intranet and automatically populates with the following: Recommended conclusion: It is recommended to sell at a high point to make a profit, and wait for the price to pull back before opening a position; Logical support: quantitative support from financial fundamentals, market reactions, industry comparisons, valuation deviations and other dimensions; Potential risks: For example, if tariffs are eased in the future and CFOs reduce their holdings for other reasons, it may lead to further fluctuations in stock prices; Clear citations: All data with links to the original source for PM or legal review. Watching the entire video demo, I think #Claude is completely the "#AI nuclear weapon" of financial report analysis, and there are still relatively few API data interfaces supported by encrypted data, which can become the killer feature of #Web3 investment research if it is improved in the later stage. If we used to do project analysis to "fly with ten fingers + nine screens to check data + use five heads together", now with #Claude, it is like having a gold medal analyst who does not go offline 24 hours a day, and does not shout overtime, and efficiency takes off 📈!