Since October 2022, the Fed and Treasury seem to be cooperating behind the scenes - easing quantitatively while raising rates to keep inflation under 3% without impacting people. The Fed cutting its MBS holdings, Treasury issuing short-term debt frequently. Congress smoothly raised the debt ceiling, government increased spending. The close coordination between Fed and Treasury helped the US avoid high unemployment and wage declines for now, but long-term effects of inflation remain to be seen. Copy

自去年十月開始,聯儲局和財政部似乎暗中協調,一邊進行量化寬松,一邊提高利率,力圖在不影響百姓的情況下將通貨膨脹壓至3%以下。聯儲局缩表减持抵押基金,而財政部則頻發短期国債并提高政府預算開支。同時國會又順利提高債務上限。這種聯儲局與財政部的緊密配合,使美國避免了高失業和工資下降等后果,可以視為一場典雅的雙人舞,但通脹的長期影響仍需拭目以待。

Word is China's been banning iPhones everywhere - nuclear power plants, hospitals in Inner Mongolia, you name it. Employees are saying it's to stop U.S. spying through iOS security holes. These informal bans go back years for some agencies. It's Beijing's way of telling $AAPL and other American companies that tech restrictions are getting real intense real fast amid the sour relations with Washington. For Apple, it's gotta be pretty concerning given China's like 15% of their revenue. With how things are going between the superpowers, $AAPL's gonna have a heck of a time thriving in that vital market. As tensions rise, the iPhone maker faces new hurdles to keep growing in China. What's next?

Here's a 560 character tweet incorporating $AAPL and more conversational language: Word is China's been banning iPhones everywhere - nuclear power plants, hospitals in Inner Mongolia, you name it. Employees are saying it's to stop U.S. spying through iOS security holes. These informal bans go back years for some agencies. It's Beijing's way of telling $AAPL and other American companies that tech restrictions are getting real intense real fast amid the sour relations with Washington. For Apple, it's gotta be pretty concerning given China's like 15% of their revenue. With how things are going between the superpowers, $AAPL's gonna have a heck of a time thriving in that vital market. As tensions rise, the iPhone maker faces new hurdles to keep growing in China. What's next?

Rate cuts alone won't grow more crops faster. It can't fix the supply problems. Don't expect miracles from the Fed lowering rates. Subsequent inflation will surely chip away real purchasing power despite higher nominal incomes. #wage #monetarypolicy #foodprice #foodcrisis

Rate cuts alone can't fix the supply problems. Don't expect miracles from the Fed lowering rates. It won't grow more crops and faster. However, inflation will surely chip away real purchasing power despite higher nominal incomes. #wage #monetarypolicy #foodprice #foodcrisis

Crisis to Innovation: My First AI Trading Strategy Addresses Food Costs Flextiger / 摺叠虎 In the vast universe of investing, the initial step often poses a significant challenge. As one might hesitate before writing the first sentence of an email, designing an investment strategy can be daunting. While many may relate, especially when using tools like Composer, there’s good news. I leveraged my economic and investment knowledge to design an algorithmic strategy with AI help. The Collaboration: Our journey began by coaching the AI through examples and feedback to grasp nuances of Composer’s coding language. My core thesis was to benefit from rising food prices in late 2023–2024. The strategy pivoted investments to food stocks when they outperformed QQQ, an ETF tracking the tech-heavy Nasdaq-100. If QQQ performed better, it reverted investments there. The initial generated code had errors. Rigorous backtesting revealed flaws, so the AI and I refined the strategy. Subsequent backtests were promising. The Final Strategy: A Dynamic Food vs. Tech Approach With global food costs rising, this strategy capitalizes on anticipated price surges. It compares food-related assets to the Nasdaq-100 index (QQQ ETF) and allocates funds accordingly. When food stocks show strength, it seizes the opportunity. Underperformance triggers a pivot back to QQQ for broader resilience. Key Backtest Results: Annualized Return: 56.4% Max Drawdown: 7.2% Sharpe Ratio: 2.73 (Generated via simulation. Not indicative of actual performance.) Reflections on Human vs. AI Collaboration: In algorithmic strategy design, AI like Composer offers undeniable efficiency. However, human expertise remains irreplaceable. A strategy stems from understanding economics, portfolio theory, and risk preferences — insights an AI alone cannot replicate. The AI acts as an able driver to efficiently translate our vision into rigorously tested code. But human knowledge provides the strategic roadmap and navigation. Together, we accomplish more than either could alone. This proves investing still requires human intuition. As AI capabilities grow, remembering the value of human intellect will be critical. For now, and likely the future, investment strategies will thrive on human guidance and knowledge. If you are interested in trying my Food Price vs. QQQ Strategy, here is the link to it (

Composer – Automated trading platform.

Composer allows you to build a portfolio of hedge-fund like strategies. In a snap.

Here is the logic behind the strategy. If this glimpse into creating an AI-assisted trading strategy was intriguing, I encourage you to try Composer using my referral code zpxGrUX-TRADE to register and trade. By signing up and trading through this link, you can help support my work in writing more fascinating articles like this one. Composer makes it easy for anyone to develop algorithms — whether you’re an experienced quant or just starting out. The intuitive interface translates ideas into profitable automated strategies. An AI can even learn the ropes with some guidance! My LN Address: flextiger@getalby.com My Nostr: npub1gu5m9syh529vkw4ncq688cevd8ye3ux5ke70lv30w0dywcr5kj5smavf6c LinkedIn: https://www.linkedin.com/in/flex-tiger-23b930229/ Medium: Flextiger Twitter: FlextigerA Composer Algorithmic Trading Ai Trading Stock Trading Chatgpt Trading

$AAPL and Orange #Deflationary #inflation

You are better off buying Orange Juice than Chips.

Israel Ministry of Health orders all hospitals to conduct PCR Covid tests for all admitted patients. $TDOC $ZM Let's see.

Huawei's New 7nm Chip Raises Eyebrows Industry insiders are scratching their heads over Huawei's new Mate 60 smartphone featuring advanced 7nm chips seemingly built by Chinese firm SMIC. Here's the twist: US sanctions strictly prohibit SMIC from providing these leading-edge semiconductors to Huawei. So how did Huawei obtain these chips? Some theorize SMIC may be covertly violating US export controls. Others float wild conspiracies wondering if China secretly acquired advanced Dutch lithography equipment. In reality, Huawei likely customized the Mate 60's chip design to avoid issues holding back SMIC's 7nm production. While flashy, the phone's limited launch suggests more hype than genuine progress, as China still lacks key semiconductor ingredients. But with national pride at stake, might Beijing turn a blind eye to sanctions skirting? For now, the Mate 60's murky origins remain a perplexing mystery. This latest twist will further escalate tensions in the US-China chip war. Semiconductors are the “oil of the 21st century,” and the stakes couldn't be higher. If China can somehow access advanced chips despite US sanctions, Silicon Valley giants like Nvidia, Qualcomm and Intel would seem vulnerable. Apple’s iPhone sales in China may also take a hit if Huawei regains its edge in 5G and mobile processor technology. $NDVA $TSM $APPL $QCOM

Dig into countries' Gold Reserves and notice the major changes started after the GFC, the start of the Fourth Turning.

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Explore top LinkedIn content from members on a range of professional topics.

Outsourcing Layer 2: From Asia to AI

普通民眾在1980年代還有搭乘超音速飛機(協和飛機)的技術和選擇,但到了2023年這個選擇已經不存在了,這似乎是一個奇怪的現象。但是,這也引出一個問題——我們是否真的有必要進行高速的物理旅行,將肉體運來運去?在2023年,AI和AR技術已經可以即時繪製出一個超越現實的世界,只要意識可以想像,視覺可以實現,感受就可以到達。同樣,人類在1960至1972年登月之後,50年都沒有再次登月,我們是否真的有必要親身去某個地方踩點?是否只要意識能量可以到達某個地方,我們就已經控制住了那個地方? 因此,我們的關注似乎變得更加精神化和內在化,會質疑高速的物理運動是否被更高層次的精神力量所替代。過去需要親身到達的目的地,現在可能通過意識和想像就能實現。如果我們能夠充分利用這種精神力量,也許可以做到更多過去依靠操控物質無法實現的事情,因為物質資源始終有限,物理機制也有其極限。感覺被困於物質世界的局限之中掙扎是否真的就是一個初級文明該有的狀態,這值得我們反思。

Outsourcing Layer 2: From Asia to AI The manufacturing shift of the 1970s was transformative. From the precision-driven workshops in Japan to the effervescent factories of Taiwan, transitioning through the vibrant ports of Hong Kong, the expansive terrains of China, and presently, the dynamic hubs in Vietnam — outsourcing redefined cost efficiency in manufacturing. Today, the world stands at the cusp of another outsourcing upheaval. It’s no longer just about geography; it’s digital, it’s instantaneous, and its driving force? Artificial Intelligence (AI). AI’s Deflationary Impact on SaaS Drawing parallels from the past, just as outsourcing molded manufacturing, AI is reshaping the SaaS landscape. Historically, companies that run on SaaS have been laden with overheads: human management, software asset management, periodic upgrades, and maintenance. But AI-driven platforms are rapidly eradicating these operational expenditures. While the initial capital investment remains significant, the subsequent costs are spiraling down to near nothingness. Picture this: SaaS platforms that self-update not in weeks or days, but in real-time, all powered by AI. The age-old norm of manual intervention for updates, maintenance, and troubleshooting is fast becoming archaic. The result? Cutting-edge, nearly instantaneous solutions that set a new gold standard in software efficiency. For corporations, this evolution is a paradigm shift. AI-empowered SaaS solutions can be utilized at nearly zero costs, rendering expensive subscriptions and update fees obsolete. The landscape is reminiscent of an endless, free gateway to bleeding-edge technology. But AI’s influence doesn’t stop at optimization. Take a case of cybersecurity where AI systems can self-evolve through relentless iterations, achieving hacking proficiencies that far exceed human capabilities. If such AI were to be open-sourced, the implications for security systems designed by humans could be monumental. Physical Goods Face Persistent Inflation While AI drives efficiency improvements in the digital realm, the physical world operates on a different timeline. While the digital realm undergoes a rapid transformation driven by AI, the tangible world lingers in its immutable rhythm, resisting dramatic change. Here’s why: Firstly, the tangible world is intertwined with intricate biological, geological, and physical processes. Consider the time it takes for crops to grow: regardless of how sophisticated AI systems become in predicting the best planting times, optimizing irrigation, or identifying potential diseases, the wheat still requires its season to mature, and the grapevine its cycles to yield fruit. Similarly, the human body, a masterpiece of nature, follows its own pace. We might employ AI to predict injuries or illnesses with unprecedented accuracy, but the time it takes for a wound to heal or for a broken bone to mend remains relatively constant. And in the realm of livestock? Whether it’s the incubation period for chickens or the biological clock governing when cows produce milk, these processes are, by large, fixed in their timelines. Even with AI-enhanced feed optimization, a cow can’t digest food and convert it to proteins, like meat and milk, any faster than nature allows. Processes like irrigation, pivotal for agriculture, can be enhanced using AI to predict weather patterns and allocate water resources more effectively, but the fundamental principles of redirecting and using water remain untouched. Outsourcing Layer 2 Outsourcing has evolved from a geographic shift towards Asia to a digital transformation steered by AI. This metamorphosis, reminiscent of the ’70s manufacturing wave, has ushered in AI-optimized SaaS platforms with unprecedented operational efficiency. Corporations will enjoy almost free, cutting-edge technology, while AI’s prowess could revolutionize cybersecurity. However, the physical world, including agriculture and human physiology, still adheres to nature’s timeline despite AI’s enhancements. Intriguingly, as AI reduces digital costs, the value of tangible goods and manual tasks becomes pronounced. Thus, professions tied to the physical world gain prominence in our AI-integrated future, suggesting a horizon rich in opportunities and challenges.

No bubble. Nothing to see here.

What do you see? CoreWeave: Is backed by $NVDA. Buys $2.3 billion worth of NVIDIA chips. This purchase is financed by a $2.3 billion line of credit (LOC) from Blackrock. The NVIDIA chips are used as collateral for this loan. Blackrock: Owns 182 million shares of NVIDIA. Is a significant investor in the $2.3 billion line of credit provided to CoreWeave. NVIDIA: Has a "data center beat" worth $2.3 billion. Its stock price increased by 11% in after-hours trading (AH) but then dropped during regular trading hours (RTH).

I use AI to co-pilot my blog writing. My thought is that the core ideas and human creativity are most important. Machines can then translate those ideas into digestible formats using words. Words are just vehicles to convey the meaning envisioned by the human mind, whether they are in English, Tagalog, Python, or any language The key is ensuring humans drive innovation while leveraging machines for communication. Prioritizing ideation while using all tools available to share the ideas.

Way to go!!!

Re-publish my June 28's article about a hypothetical merger between Nvidia and Snowflake and its impact on Databricks.

Yakihonne

AI Titans’ Tango: Is a Snowflake-Nvidia Merger on the Horizon and What Could it Mean for Databricks?

A potential mega-merger between cloud data leader Snowflake and AI giant Nvidia could create an unstoppable AI powerhouse. This deal could have big...