Newsletter Subject

What a Taiwan “Invasion” Would Mean for Markets

From

brownstoneresearch.com

Email Address

feedback@e.brownstoneresearch.com

Sent On

Fri, Jan 20, 2023 09:02 PM

Email Preheader Text

- Why I don?t own my recommendations? - How would markets respond to a Taiwan invasion? - Can AI

[The Bleeding Edge]( - Why I don’t own my recommendations… - How would markets respond to a Taiwan invasion? - Can AI solve this “grand challenge”? --------------------------------------------------------------- Dear Reader, Welcome to our weekly mailbag edition of The Bleeding Edge. All week, you submitted your questions about the biggest trends in tech and biotech. Today, I’ll do my best to answer them. If you have a question you’d like answered next week, be sure you submit it [right here](mailto:feedback@brownstoneresearch.com?subject=The%20Bleeding%20Edge%20question&body=). I always enjoy hearing from you. Recommended Link [“Gas stations will run dry.”]( [image]( In order to prevent catastrophe… Washington is throwing half a TRILLION dollars into one sector of the economy. [Click here to see the #1 stock set to benefit.]( -- Why I don’t recommend stocks I own… Jeff, I appreciate all the information and data that comes through your service. It is eye opening to look at your thoughts. I do notice that every so often you make it a point to state that you do not invest in the recommendations you make. Why is that? One part of me understands why. Another part of me says: Why invest if Jeff is not? What is he investing in? I’d like to invest in that instead. Anyways, any response would be appreciated. Keep up the good work. - Alessio D. Hi, Alessio. Thanks for being a reader. It’s a fair question. And I’d be happy to answer it. As readers know, as a matter of our conflict-free policy, I do not purchase stock in anything that I recommend, and I do not recommend anything that I already own. When I look at Wall Street, I see conflicts of interest everywhere, and I want to make sure we’re the exact opposite of that. My subscribers are my priority, and it is critical that I maintain objectivity. This is the best way that I know how to do this. I’ve seen these conflicts happen all the time on Wall Street. For example, an investment bank puts all its most valuable clients into a stock first. And then in the weeks/months that follow, the investment bank talks up the stock on CNBC, at conferences, etc. This drives retail investor buying. Then, the high-net-worth clients take their profits off the table. If I were to purchase stock and then recommend that same stock to my subscribers, it would be natural to question my motivation for recommending the stock. Does Jeff really believe in this company? Or is he simply trying to artificially boost the value of the stock for his own gain? I’m sure many of us have seen pump and dump schemes. That’s a classic example of a major conflict of interest designed to benefit a small number of people at the expense of a large number of normal investors. This is exactly the kind of thing that I want all of my subscribers to avoid. [Controversial: Brace now]( The best operating principle that I know to avoid any concerns is to simply avoid the situation altogether. That’s why we have our policy in place. It’s my way of demonstrating that my only motivation is to find investments that exclusively benefit my readers. Now, that isn’t to say that I wouldn’t want to own the stocks that I recommend. Were I to build my own large-capitalization portfolio, it would look exactly like The Near Future Report. And if I wanted to build a portfolio of small-capitalization growth companies, it would be identical to Exponential Tech Investor. In fact, there are several occasions when I will pass on an investment that I would love to own precisely so I can recommend it to readers. My latest recommendation in Day One Investor is a perfect example. Out of respect to paying subscribers, I won’t name the company here. But I can say it is a private investment for a fabulous company operating in the entertainment/gaming industry. It’s very rare to find a private investment of this caliber. Were I permitted to invest, it would likely be the largest holding in my private investment portfolio. But I wanted subscribers to have that opportunity. To answer your question about ‘what is he investing in’? Because of this policy I actually hold a very limited number of publicly traded stocks. That’s because the ones that I would want to own are the ones that are in my model portfolios. I invest most heavily in private investments and real estate because there are no conflicts of interest. These types of investments are not generally available to retail investors, and they typically have limited allocation, which means I would never be able to recommend them to my subscribers anyway – there’s not enough to go around. I don’t view my investment recommendations as a zero sum game. Some take the mindset that if they can’t invest in a certain stock that they love, they are losing. I don’t think that way. I believe that I “win” when my subscribers win. If I can bring great risk/reward investment opportunities to my subscribers that have a large enough allocation for many to participate, then my subscribers always get priority. And I can allocate my own capital into smaller investments that aren’t suitable for a large retail investor audience. And even with Day One Investor, I don’t view my giving up the ability to invest in my private investment recommendations as a loss. Some private investment opportunities are really small, there might only be $100K allocation. That’s too small for my subscribers. So when I find a great company looking to raise $5 million, the first thing I think about is my subscribers, not my own portfolio. Nothing makes me happier than when my subscribers win on investments. And I never want that to be tainted or questioned with any conflicts of interest. This really means a lot to me and how I manage my business. Recommended Link [Bear or bull market, this highly successful trader has shocking new forecast]( [image]( Nobody believed Larry Benedict’s prediction in February 2020. The DOW plunged 3.5%, and he told CNBC, “It seems like there’s much more to come.” Within a month, the market plummeted 34%. Then, nobody believed Larry at the start of last year, either. He predicted that “all the indexes will be negative for the year,” with the Nasdaq leading the way. Once again, he was spot-on. Anybody who followed his recommendations could be well in the black. Now, for the first time, Larry’s coming forward to share a brand-new forecast. [Click here to watch his interview right now.]( -- What does a Taiwan “invasion” mean for markets? Hi Jeff, I always enjoy your work in The Bleeding Edge! I have a question about China’s potential takeover of Taiwan. From what you’ve said, it sounds like it’s inevitably going to happen, so how do you think it will affect the markets, if at all? - Matthew L. Hi, Matthew. Thanks for your question. And yes, based on my analysis, I believe a “takeover” of Taiwan by China is inevitable and arguably imminent. Recently, Xi Jinping got himself reelected for a third term as Chairman of the Chinese Communist Party. Historically, China had the same two-term limits as the U.S. Xi had to overcome critics with some key commitments if he were to be allowed to serve a third five-year term, and probably the largest commitment of all was to reunify Taiwan with the mainland. Xi will not lose on this point. He will not lose face. He will find a way to deliver on this promise. And I am confident that his plans have already been well in place for years. But to be clear, this doesn’t necessarily mean a military invasion of the island. [The #1 Stock of 2023 (Trader Makes Fortune During 2008, 2020, 2022)]( China doesn’t have to invade Taiwan with its military. It’s a possibility. But it’s not the most likely outcome. I lived and worked in Asia for decades as a technology executive. I’ve probably been to Taiwan a hundred times. And the reality is that China has been in Taiwan for years. Very slowly, they’ve been asserting administrative control, placing “their people” in positions of influence and power. This is exactly what happened with Hong Kong. One moment, Hong Kong appeared a semi-autonomous city, at least to the Western world. Then, it felt like all the sudden it very clearly falls under the heel of Beijing. I believe the same thing will happen to Taiwan. What does this mean for markets? Unfortunately, it’s not as easy as simply diversifying away from companies with connections to Taiwan. That’s a start, but the impact of this would be far-reaching. As readers know, Taiwan is home to TSMC, the world’s largest semiconductor fabrication facility. In a real sense, TSMC is the “heart” of global semiconductor manufacturing. If China is in control of Taiwan’s economic resources, it literally means that it has the power to hold the global economy hostage. Taiwan is that strategically important to the world. The company has rapidly been diversifying manufacturing capabilities outside of Taiwan, but the majority of manufacturing for semiconductors—and all of the manufacturing for bleeding edge semiconductors—still happen on the island. I do expect markets would react negatively to a “soft invasion,” but I don’t believe it would be world-ending. My prediction is that China will allow Taiwan’s industries to operate—more or less— as they had before. However, I do expect the Chinese government will use their effective occupation of the island to extract concessions from the United States. I expect a lot of posturing from the U.S. government. I predict we’ll hear plenty of speeches about how “unacceptable” it is. But the Chinese position will be that it’s a Chinese matter. It’s none of America’s business. And if TSMC is allowed to operate more or less normally, then the U.S. will back down. China is not Russia. The U.S. government may be willing to wage a proxy war with Putin, but it won’t pull the same thing with Xi. The reality is that too much of the American supply chain is still dependent on China-based manufacturing. And China has certainly spent decades buying influence in the U.S., as well as supplanting its agents across the country. Most people don’t even know this, but it’s widely known in government and intelligence circles that China has police stations on U.S. soil to police its own citizens in the U.S. It will likely be a tense few years, but longer term, this will be a good thing for U.S. manufacturing. It was a difficult lesson to learn. But the Western world has finally realized that the security of critical manufacturing capacity is a matter of national security. Plenty of executives in the industry have been warning about this for years (so have I). But it took the lockdowns, the shortages, and now this standoff between China and Taiwan for the world to finally realize it. Better late than never? The result of all this is that advanced manufacturing for our most critical industries will be coming back onshore. This is “The Great Recalibration” that I have been writing about. Intel recently announced a $100 billion investment into Ohio – the heartland. It wants to build the world’s largest semiconductor manufacturing facility right next to cornfields. The company also announced a $20 billion investment into an Arizona facility. This is the most exciting thing I’ve seen from Intel in decades. And it’s not happening in Silicon Valley. It’s extraordinary. Samsung plans to spend $17 billion on a chip plant in Texas. And TSMC is spending $12 billion in Arizona. It needs to diversify its supply chain. Micron is looking to spend as much as $40 billion – maybe in Arizona, maybe in Texas. On Semiconductors – another favorite of mine – has committed $720 million to take over and expand a GlobalFoundries fab. And GlobalFoundries – a smaller competitor to TSMC – wants to spend billions on a new facility in upstate New York. The future of high-tech manufacturing is taking shape before our eyes. And I’ll of course update readers as this trend plays out. Recommended Link [Discover how to profit from fast-growing companies formerly off-limits to the average investor]( [image]( Until now, the fastest-growing companies in America have been off-limits to the average investor. But after discovering 77% of these fast-growing companies come from just one tiny sector of the economy, Brad Thomas, former real estate mogul turned investor, discovered a back-door strategy to profit from them all. All it takes is one ticker to collect $3,173 a month, depending on your investment size. And if you haven’t heard about them yet… [Watch his latest video here now.]( -- The intersection of AI and nuclear fusion… Jeff, Why can’t they use AI to solve the nuclear fusion problem? - Edward R. Hi, Edward. I believe the “problem” with nuclear fusion you’re referring to is the ability to create and maintain a stable fusion reaction. It’s a good question. As a reminder to readers, nuclear fusion is different from nuclear fission. Fission is the “nuclear power” we’re familiar with today. It’s still a remarkably safe and environmentally friendly form of power, especially when compared to other sources of energy like coal. However, nuclear fission does create radioactive waste, which does have to be dealt with. And while public opinion has been changing in recent years, nuclear fission technology unfortunately has a negative reputation. It is not deserved, and certain organizations have gone to great lengths to create vast misunderstandings about how nuclear waste can be safely managed and stored. Nuclear fusion, on the other hand, is the power of the sun. It produces very little and in some cases no radioactive waste. And, done at scale, the technology promises to deliver nearly limitless, clean, cheap energy for the world. In other words, it’s the holy grail of energy production. There was a recent breakthrough with this technology and the end of last year. Researchers at the Lawrence Livermore National Laboratory (LLNL) announced that they had achieved “ignition” and achieved net-energy production via a fusion reaction. On December 5, the National Ignition Facility (NIF) produced 3.15 megajoules of output from just 2.05 megajoules required to achieve ignition. This was a major milestone for the technology, and something I predicted all the way back in 2019. The plasma that the experiment created was only a tenth of a millimeter in diameter. It was about 10 times hotter than the sun and only lasted for a few billionths of a second. To commercialize this technology, the industry needs to find a way to produce, and maintain, a stable fusion reaction. That’s easier said that done. In most fusion reactors, the plasma is maintained using magnetic fields. And in order to maintain the reaction, thousands of variables have to be considered in real-time. That’s not a task for a human, but it could be one for an AI. And I’m not the only one who sees that. Back in 2016, a nuclear fusion company called TAE Technologies held a venture capital funding round, raising $375 million. But what was interesting is that Alphabet (Google) was the largest investor. On the surface, that doesn’t seem to make sense. Why is Google—a search and advertising company—investing in a nuclear fusion startup? That answer is that Google is one of the most advanced artificial intelligence companies in the world. And the company has been investing heavily in quantum computing in recent years. Google was the first to demonstrate “quantum supremacy”—the moment when a quantum computer outperforms a classical supercomputer—back in 2019. This is why Google’s investment into TAE is so critical, and so strategic. TAE is one of the most promising companies in the world working on nuclear fusion. It could take investment money from many different places. But TAE’s biggest challenge is using technology to maintain that optimal plasma condition. As I said, there are thousands of variables that need to be analyzed, optimized, and controlled in real-time to make that happen. And that is exactly where artificial intelligence comes into play. Advanced machine learning applications are highly applicable to managing a fusion reaction in real-time. To answer your question, Matthew, artificial intelligence can solve this problem with nuclear fusion. In fact, I would argue that it will be necessary to sustain these fusion reactions. Right now, the nuclear fusion industry is building the hardware for five or six promising approaches to nuclear fusion energy. And in parallel, these companies are working on the software to manage and maintain the fusion plasmas. We’re getting very close. What happens between now and 2025 will be incredible. In five or ten years, we’ll be looking back at these years and remember “that’s when it all happened, that was the beginning, the breakthroughs, that led to limitless, clean, and inexpensive energy for the world.” I also think that the world will reflect back and realize how much destruction was caused through mining for “clean energy” metals and minerals for batteries, solar panels, and wind farms. The environmental damage, and unrecyclable waste has already become a massive problem, and the world is still producing its baseload electricity from fossil fuels. We’ve been focused on the wrong thing all along. Nuclear fusion is the answer to clean energy. It can solve the baseload power “problem” for clean energy and ensure that all electricity produced is indeed green. No other single technology could have a greater impact on reducinsg carbon emissions and reducing pollution than nuclear fusion. Thanks again for the question. Jeff Brown Editor, The Bleeding Edge --------------------------------------------------------------- Like what you’re reading? Send your thoughts to feedback@brownstoneresearch.com. --------------------------------------------------------------- IN CASE YOU MISSED IT… [Millionaire Trader Drops Bombshell… “The Only Trade You Will Ever Need”]( Silicon Valley trading millionaire says… “FORGET 99% of the Stock Market… Trade ONE Stock… ONCE Per Month – Over and Over Again!” He’s recommended REAL gains of 100%, 228%, and [373% in just 8-days – in any market condition.]( Leveraging a trading secret he’s used for years… helping over 171,000 regular people… It’s called: The [“One Stock Retirement”]( – a trading breakthrough to help anyone collect triple-digit profits regardless of trading experience, location, starting capital, or market condition. [Click here, it’s all revealed in this exclusive interview…]( [image]( Get Instant Access Click to read these free reports and automatically sign up for daily research. [The Trader’s Guide to Technical Analysis]( [The Ultimate Guide to Taking Back Your Privacy]( [The 101 Guide to Pre-IPO Investing]( [Brownstone Research]( Brownstone Research 55 NE 5th Avenue, Delray Beach, FL 33483 [www.brownstoneresearch.com]( To ensure our emails continue reaching your inbox, please [add our email address]( to your address book. This editorial email containing advertisements was sent to {EMAIL} because you subscribed to this service. To stop receiving these emails, click [here](. Brownstone Research welcomes your feedback and questions. But please note: The law prohibits us from giving personalized advice. To contact Customer Service, call toll free Domestic/International: 1-888-512-0726, Mon–Fri, 9am–7pm ET, or email us [here](mailto:memberservices@brownstoneresearch.com). © 2023 Brownstone Research. All rights reserved. Any reproduction, copying, or redistribution of our content, in whole or in part, is prohibited without written permission from Brownstone Research. [Privacy Policy]( | [Terms of Use](

EDM Keywords (353)

years year xi writing would world working worked work words win willing whole well week way watch warning wants wanted want wage view variables value used use us understands unacceptable typically types tsmc trader trade took today time thousands thoughts think thing texas tenth tense technology tech task takes takeover take taiwan tainted tae table sustain surface sure supplanting sun suitable sudden subscribers subscribed submitted submit stocks stock still state start standoff spot spend speeches sources something solve soil software small slowly shortages share service serve sent semiconductors sees seen seem see security second search scale says say said russia right revealed result respect reminder remember referring reelected redistribution recommending recommendations recommend realize reality readers reader read rare rapidly questions questioned question putin pull promise profits profit produces produce problem probably privacy priority prediction predicted predict precisely power posturing possibility positions portfolio policy police point plasma plans place permitted people pass participate part parallel output order opportunity operate ones one ohio often notice none never negative needs need necessary natural name much motivation month moment missed mining minerals mine mindset millimeter military might means mean matter markets many manufacturing managing manage make majority maintain love lot loss losing lose looking look lockdowns lived little limits likely like less led least learn lasted know kind jeff island investments investment investing invest intersection interesting interest intel information influence inevitable industry industries indexes incredible impact identical human however home hold heel heavily heartland heart heard hardware happy happier happens happening happened happen hand guide government google gone globalfoundries giving getting gain future followed follow focused five first find feedback familiar fact eyes expense expect expand executives example exactly every even ensure enough end easy done diversify different diameter deserved demonstrating deliver decades dealt data critical create country could cornfields controlled control content considered connections conflicts confident concerns compared company companies commercialize comes cnbc close clear citizens china changing chairman caused cases case capital called caliber business building build breakthroughs black billionths best benefit believe beijing beginning back avoid asia arizona appreciate anything anybody answer analysis america already allowed allocate ai affect able ability 373 2025 2019 2016

Marketing emails from brownstoneresearch.com

View More
Sent On

08/12/2024

Sent On

07/12/2024

Sent On

06/12/2024

Sent On

06/12/2024

Sent On

05/12/2024

Sent On

05/12/2024

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.