I have been following quantum computing since they moved from the theoretical to the practical about five years ago.
The reason is very simple. They promise to bring a 1 trillion-fold increase in computing power at zero cost, promising to solve in seconds some of the world’s most vexing problems.
They also have the potential to ramp the stock market up at least ten times over the next decade and bring on a new golden age. No kidding!
Last week an academic paper leaked and was quickly withdrawn suggesting that Google has accomplished a major breakthrough in the field.
Google claims to have built the first quantum computer that can carry out calculations beyond the ability of today’s most powerful supercomputers, a landmark moment that has been hotly anticipated by researchers.
A paper by Google’s researchers was briefly posted earlier this week on a NASA website before being removed, claiming that their processor was able to perform a calculation in three minutes and 20 seconds that would take today’s most advanced classical computer, known as Summit, approximately 10,000 years. Yikes!
The researchers said this meant “quantum supremacy” when quantum computers carry out calculations that had previously been impossible, had been achieved. This dramatic speed-up relative to all known classical algorithms provides an experimental realization of quantum supremacy on a computational task and heralds the advent of a much-anticipated computing paradigm. This experiment marks the first computation that can only be performed on a quantum processor.
The system can only perform a single, highly technical calculation, according to the researchers, and the use of quantum machines to solve practical problems is still years away. But the Google researchers called it “a milestone towards full-scale quantum computing”.
They also predicted that the power of quantum machines would expand at a “double exponential rate”, compared to the exponential rate of Moore’s Law, which has driven advances in silicon chips in the first era of computing. That means a potential doubling of computing power every nine months with a halving of cost.
While prototypes of so-called quantum computers do exist, developed by companies ranging from IBM (IBM) to start-ups such as Rigetti Computing, they can only perform the same limited tasks classical computers can, albeit quicker. There is also a huge problem accessing stored data. Quantum computers, if they can be built at scale, will harness properties that extend beyond the limits of classical physics to offer exponential gains in computing power.
A November 2018 report by the Boston Consulting Group said they could “change the game in such fields as cryptography and chemistry (and thus material science, agriculture, and pharmaceuticals) not to mention artificial intelligence and machine learning . . . logistics, manufacturing, finance, and energy”.
Unlike the basic binary elements of classical computers, or bits, which represent either zeros or ones, quantum bits, or “qubits”, can represent both at the same time. By stringing together qubits, the number of states they could represent rises exponentially, making it possible to compute millions of possibilities instantly.
Some researchers have warned against overhyping the quantum supremacy, arguing that it does not suggest that quantum machines will quickly overtake traditional computers and bring a revolution in computing. Led by John Martinis, an experimental physicist from the University of California, Santa Barbara, Google first predicted it would reach quantum supremacy by the end of 2017. But the system it built, linking together 72 qubits proved too difficult to control. It eventually revamped the system to create a 53-qubit design it codenamed Sycamore.
The system was given the task of proving that a random-number generator was truly random. Though that job has little practical application, the Google researchers said that “other initial uses for this computational capability” included machine learning, materials science, and chemistry.
“It’s a significant milestone, and the first time that somebody has shown that quantum computers could outperform classical computers at all,” said Steve Brierley, founder of quantum software start-up Riverlane, who has worked in the field for 20 years and is an adviser on quantum technologies to the UK government. “It’s an amazing achievement.”
To illustrate where we are with Quantum computers today, think of it as 1945, when only five mainframe computers existed in the world, all in the US and England. That’s when IBM founder Thomas Watson famously predicted that “The total market for computers is five.”
https://www.madhedgefundtrader.com/wp-content/uploads/2019/10/mainframes.png486864Mad Hedge Fund Traderhttps://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.pngMad Hedge Fund Trader2023-08-30 09:02:252023-08-30 14:58:26Google’s Major Breakthrough in Quantum Computing
When you think of the pioneering biotech, Moderna (MRNA), artificial intelligence (AI) and quantum computing might not be the first things that come to mind. Instead, you might associate Moderna more with its work in traditional laboratory research and as a leading coronavirus vaccine manufacturer.
However, Moderna has taken significant strides into the realm of AI. In fact, the biotech utilized AI during the early stages of developing its coronavirus vaccine and has also implemented the technology for other business purposes.
Now, Moderna is taking things a step further by partnering with International Business Machines (IBM) to explore the potential of AI and quantum computing in enhancing its messenger RNA research.
Needless to say, this innovative collaboration could potentially revolutionize the biotech industry.
To understand Moderna's recent developments in AI and quantum computing, it's important to first have a grasp of its mRNA technology.
Unlike traditional vaccine production that involves growing viruses in a lab, Moderna produces mRNA that provides the body with instructions to treat or prevent a particular illness. This innovative process is already faster than traditional vaccine production methods. But AI has played a significant role in making the process even faster.
Moderna has been able to leverage AI and automation to scale up mRNA production significantly. In fact, the company's mRNA production for experiments went from about 30 per month to 1,000 per month thanks to AI. Additionally, AI has contributed to the generation of more effective mRNA sequence designs, saving researchers considerable time.
Let's now take a closer look at the implications of Moderna's partnership with IBM.
One of the primary areas of focus is IBM's generative AI for therapeutics, which has the potential to provide Moderna researchers with a deeper understanding of molecular behavior, facilitating the development of new molecules for therapeutics.
Moreover, IBM's expertise in quantum computing could prove invaluable in speeding up the discovery of new treatments, enabling Moderna to push the boundaries of medical research and improve patient outcomes.
Quantum computing differs from traditional computing in its use of a system that allows for states beyond the binary 1s and 0s. Quantum computers can understand information as 1, 0 or something in-between, offering the potential for individual bits to be in multiple states at the same time. This characteristic may be beneficial in modeling the dynamic interactions among drugs, enzymes, cells, and proteins that are continuously changing.
The use of advanced systems in molecular modeling has been challenging for earlier generations of hardware. However, the incorporation of quantum computing could revolutionize the way biotech companies solve these complex problems.
As a starting point, Moderna will be part of IBM's enterprise accelerator program, which provides a platform for "quantum curious" companies to invest in building their expertise in emerging areas. This program gives access to IBM's network of computing systems and specialized training on the use of quantum computing for life sciences research.
As part of this collaboration, Moderna will gain access to MoLFormer, a powerful AI model that can accurately predict a molecule's properties. This tool will prove particularly valuable in Moderna's efforts to improve the lipid nanoparticles that encapsulate its mRNA treatments.
Additionally, the partnership includes investments in generative AI programs that will assist in the design of innovative mRNA-based treatments and vaccines, helping Moderna to further cement its position as a leader in the biotech industry.
IBM had previously attempted to make a name for itself in AI-powered drug discovery, offering services through its Watson platform.
However, these offerings were ultimately discontinued in 2019. Despite once partnering with major names in cancer research such as Pfizer (PFE), Novartis (NVS), Illumina (ILMN), as well as Teva (TEVA) for drug repurposing, IBM has shifted its focus to other areas of the life sciences industry.
As quantum computing technology continues to evolve, however, its potential applications have begun to attract some of the biggest names in biotech.
Companies like Novo Nordisk (NVO), Roche (RHHBY), and Boehringer Ingelheim have partnered with industry giants like Google (GOOGL) to explore the possibilities of this cutting-edge field, which is quickly moving from the realm of science fiction into a scientific reality.
As for the question of whether these moves can be a game-changer for Moderna, the answer is likely yes.
Moderna has already experienced significant benefits from AI in its processes, both in and out of the lab. With access to IBM's platforms, there is potential for further improvements in the company's research and development of new treatments and vaccines.
Efficiency, speed, and precision are crucial factors in drug and vaccine development, and any improvement in these areas could have a significant impact on Moderna's success. Although the results of the IBM partnership may not be immediately visible, Moderna's investments in AI and quantum computing could pay off in the long run.
With continuous innovation and portfolio expansion, Moderna is well-positioned to capitalize on market opportunities presented by mRNA technology and achieve substantial revenue growth in the years ahead.
Therefore, investors should not be overly concerned about short-term stock price fluctuations or declines in revenue from coronavirus vaccines. After all, Moderna has a robust pipeline and has demonstrated significant potential with promising clinical trial results.
Hence, investors should consider Moderna as a long-term investment opportunity, making it a valuable addition to any investment portfolio.
https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png00Mad Hedge Fund Traderhttps://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.pngMad Hedge Fund Trader2023-05-02 17:00:472023-06-07 00:31:33Quantum Computing in Biotech
In 2019, Google claimed that it had achieved what it called quantum supremacy. The company claimed to have built a computer with capabilities far beyond those of traditional computers.
In a report published in Nature, Google said its quantum computer managed to calculate something that would take a normal machine 10,000 years.
What practical applications Google's performance will have in the real world is still unclear. The initial computation was a demonstration of capability rather than a product that will have a significant commercial impact any time soon.
Having a horse in the race will also mean they can turn it up a notch once they receive more direction on where this might lead.
Like so many of its other companies, Alphabet invests heavily in the latest computer technology.
Many of these ventures probably won't bring in much money; others, on the other hand, will likely recoup the company's entire research budget and then some. And the good thing about Alphabet is that it's so busy that a single project, such as B. quantum computing, will not decide on the entire investment.
I am not going to sit here and say that Google is a quantum computing company because it’s not, but they are ready to pounce if the opportunity presents itself.
Quantum Computing (QUBT)
Quantum Computing is an innovative company focused on its namesake. It sees a market opportunity in the ability to create a service that coordinates computing needs.
There are providers of quantum computers, such as IonQ or Rigetti. Then there are customers in large companies, universities, or research laboratories. Quantum Computing sits in the middle, making software to help customers manage their quantum computing needs.
Currently, quantum computing has almost no revenue. Management acknowledges that the company is still in the early stages of market development and understanding customer use cases.
QUBT stock is highly speculative, as are most other companies in the sector. However, as the market for quantum computing vendors and customers grows, a brokerage service that connects the two could represent a fairly profitable niche.
IBM (IBM)
Tech analysts like to compare IBM to companies like Radio Shack and Eastman Kodak (KODK) as a dinosaur inevitably heading towards the dustbin of history.
However, the truth is much more nuanced.
IBM still achieves $60 billion a year in total revenue, and that number is actually on the rise again. They also have a PE ratio of 21 as its ongoing operations in consulting, services, and cloud, among others, are very profitable. And IBM continues to invest heavily in research and development, including quantum computing.
IBM's quantum computing division promises to unlock information beyond the reach of even the world's fastest supercomputers. The IBM partnership for quantum computing already involves 160 Fortune 500 companies as well as national laboratories and academic institutions. These partners work in areas such as finance, chemistry, and logistics.
Microsoft (MSFT)
Like IBM, Microsoft wants to take the lead in the emerging field of quantum computing. Microsoft has an inbuilt advantage, as its Azure cloud platform already has a massive installed base with a variety of Fortune 500 customers.
Now Microsoft is building its quantum computing capabilities directly into Azure. Microsoft describes this as “the world’s first full-featured, open cloud ecosystem for quantum computing.”
It makes a lot of sense that this would be offered as part of a cloud package. After all, most customers probably don't need their own supercomputer. Rather, they want the ability to buy that computing power only when they need it.
If Microsoft can seamlessly integrate this experience into its native Azure platform, it could be a major win, both for this product and for securing greater market share in cloud computing.
Applied Materials (AMAT)
Another approach to betting on quantum computing stocks is to be long on suppliers. Given that the technology is still very new, it can be difficult to determine which companies will ultimately be among the winners in this space. What is certain, however, is that if quantum computing catches on, we will need faster and more powerful semiconductors.
Applied Materials is one of the industry leaders in terms of patents and industry know-how when it comes to manufacturing chips that will be used in quantum computing hardware. During a gold rush, you want to be the one selling the shovels. Applied Materials should be the shovel dealer for the quantum computing industry.
In the meantime, Applied Materials' existing business is extremely profitable.
https://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.png00Mad Hedge Fund Traderhttps://madhedgefundtrader.com/wp-content/uploads/2019/05/cropped-mad-hedge-logo-transparent-192x192_f9578834168ba24df3eb53916a12c882.pngMad Hedge Fund Trader2023-02-24 16:02:212023-02-28 17:44:32Part 2: The Best of the Rest in Quantum Computing
MongoDB’s latest earnings’ results validate the concept open source software as a rival to the opposed closed-source software grid.
A keen rival of MongoDB’s RedHat was also acquired by IBM (IBM) a few years ago showing the vitality of the sub-sector.
Don’t sleep on these companies as another one Cloudera (CLDR) were taken private by private equity firms KKR and Clayton, Dubilier & Rice.
These are highly valuable assets and I’m not the only one shouting from the rooftops.
How did this all first start?
The first open-source projects were not really businesses, they were counter attacks against the unfair profits that closed-source software companies were reaping.
Microsoft (MSFT), Oracle (ORCL), SAP (SAP), to name a few, were enforcing monopoly-like “rents” for software that were substandard in quality.
The latest evolution of open source came when developers evolved the projects with two important elements.
The first is that the open-source software is now developed largely within the confines of businesses.
Often, more than 90% of the lines of code in these projects are written by the employees of the company that commercialized the software.
Second, these businesses offer their own software as a cloud service from inception.
In a sense, these are Open Core / Cloud service hybrid businesses that can obtain multiple pathways to monetize their product and that is exactly what MongoDB did.
By offering the products as SaaS, these businesses can interweave open-source software with commercial software so customers no longer have to worry about which license they should be taking.
MongoDB Atlas is a great example of this evolution and can become the dominant business model for software infrastructure.
This is their hottest product which is a fully-managed cloud database and Atlas handles all the complexity of deploying, managing, and healing deployments on the cloud service provider of your choice like Amazon or Google.
MongoDB changed how open-source software is licensed, and they introduced the new cloud service that required them and partners to compete with the largest cloud providers.
Looking quickly at second-quarter financial results, they generated revenue of $199 million, a 44% year-over-year increase and above the high-end of guidance. They grew subscription revenue 44% year over year.
Mongo Atlas revenue grew 83% year over year and now represents 56% of revenue, and they had another strong quarter of customer growth, ending the quarter with over 29,000 customers.
Businesses that can develop software faster are able to ultimately outgrow their competition.
MongoDB’s results are a clear indication that customers view MongoDB as a critical platform to accelerate their digital innovation agenda.
Customers of all types are choosing MongoDB because they can develop so much faster using this platform to build new applications and replatform legacy applications across a broad range of use cases to drive business forward.
Even though MongoDB open-source software is lower cost per unit, it makes up the total market size by leveraging the elasticity in the market. When something is cheaper, more people buy it. That’s why open-source companies have such massive and rapid adoption when they achieve product-market fit.
The model now is that companies are venturing as far as actually open sourcing all their software but applying a commercial license to parts of the software base. The premise being that real enterprise customers would pay whether the software is open or closed, and they are more incentivized to use commercial software if they can actually read the code.
Observing how airline JetBlue deployed MongoDB is how these new approaches and improved products manifest themselves in the topline revenue.
JetBlue came to the decision to overhaul their core e-commerce app, and JetBlue chose the MongoDB application data platform.
MongoDB's flexible data model allowed JetBlue to build a dynamic customer experience with modern ticketing applications, as well as predictive analytics in real-time.
An avalanche of firms is leveraging the tools of MongoDB tools to up their digital game.
Management has steered the narrative to include the ease of use and expanding the capabilities of the MongoDB platform to make it more compelling for customers to standardize on MongoDB.
For example, a serverless, customer can get started with MongoDB without having to pick a specific machine type or size. The application connects to Atlas, and they handle the elastic scaling of compute and storage seamlessly, whether an application scales fast or becomes popular. Customers no longer must do capacity planning or manual intervention to adjust the size of the deployment.
The verdict is in and deploying MongoDB to harness in-house developers to build unique commercial applications has been a winning formula.
Not only are they sheltered from rigid closed-source software, but customers can even integrate the code first, then pay later when it is deployed, and this licensing model has been extremely beneficial for developers who need to test out whether certain code is valuable or not.
Atlas is now the cash cow for MongoDB and forecasts predict acceleration in top-line growth.
Yes, this company is still small procuring revenue of just $166 million in 2018, but 2023 will see annual revenue surpass $1 billion which is why everyone wants to hop on MondoDB’s train.
I would consider any dips to deploy capital in MongoDB, I would call it a rising star of the software world, and a gem in the developers’ world.
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Below please find subscribers’ Q&A for the September 8 Mad Hedge Fund TraderGlobal Strategy Webinar broadcast from the safety of Silicon Valley.
Q: Do you think we’ll see the under $130 in the United States Treasury Bond Fund (TLT) before January 2022?
A: I don’t think so; I think we could go below $140, maybe below $135. But $130 would be a brand new low in the move and would be a stretch. We basically lost 4 months on this trade due to the countertrend rally, which just ended. I would come out of your (TLT) $130-$135 vertical bear put spreads right here while they still have time value, but keep the $135-$ 140s, the $140-$145’s, and especially the $150-$155’s. The idea was that you just keep averaging up and up until the market turns, and then you make back any loss. We move into accelerated time decay on those deep out of the money put spreads in December, so I would take the money and then offset it with the gains you made in those positions.
Q: Does Palantir (PLTR) look like it’ll hit $100 by year-end?
A: No, the stock has been dead, and management has not been doing anything to promote it. We did get a move up to $45 but it failed. It’s still a great long-term idea as they are growing at 50% a year. Also, they did buy $50 million worth of gold bars as a hedge. But as a short-term trader, Palantir isn’t working. If you have an options position on that I would probably get out of it or roll it forward to 2023.
Q: PayPal (PYPL) is fluctuating up and down with Bitcoin. Do you like PayPal?
A: Absolutely, but it obviously is being dragged down by Bitcoin. It is a temporary down move caused by a one-time-only event in El Salvador. Buy the dip in PayPal. It is a leader in the whole move into a digital financial system.
Q: When is Freeport McMoRan (FCX) likely to move up?
A: As soon as we shift out of the tech trade into the domestic recovery trade, which could be in weeks or months at the latest. We’ll switch from one side of the barbell to the other.
Q: Where do you see Tesla (TSLA)?
A: It keeps going up, so my guess is we top $800 by the end of the year, and maybe $850. The big news here is that Tesla has gone into the chip business, making its own chips in-house which is easy for them to do in Silicon Valley. But it does make them the first global car maker that is also a chip maker, and therefore the stock deserves a higher premium. The stock went up $30 on the news and is great for all Tesla holders. I hope you have the 2023 LEAPS.
Q: Too late to buy Tesla LEAPS?
A: Unless you’re really deep in the money, with something like a $600-$650; but the return on that will only be about 50% in 2 years.
Q: The Biden administration just set a goal of 45% solar by the end of 2050. Which solar stock should I buy here?
A: The problem with solar is as soon as Biden started winning primaries, every solar stock took off like a rocket, figuring he’d win, which he did. All of them went up 6-fold or more as a result of that, then gave up one-third of their gains and are now moving sideways. So if you look at the charts, the classic one to buy here is the Invesco Solar ETF (TAN), a basked of the top solar companies. All of these peaked in February and have been doing sideways “time” corrections since then, which means they eventually want to go higher. The other two that have charts that look like they’re finally starting to break out to the upside are First Solar (FSLR) and SunPower (SPWR) after 8 months of consolidation.
Q: Why is the second half of September almost always bad? Is it due to institutional repositioning?
A: Not really, the cash comes into the market at certain times of the year, like end of the year, beginning of the year, and end of each quarter. September seems like the month where they kind of just run out of money. But there's actually also a historical reason for that. For most of American history, we had an agricultural economy. Farmers were more than half the population, and the period of maximum distress for farmers is September, where they put all the money into seed and fertilizer and labor into the field, but they haven't harvested it yet. So, traditionally, they always did a lot of borrowing in September, which caused a cash squeeze and interest rate spike, and a stock market panic as a result. So that's the history behind weak Septembers and Octobers. Once the farmers get the crops in and sell them, that resolves the cash squeeze, interest rates fall, and it’s straight up for stocks for the rest of the year most of the time.
Q: SPACs (Special Purpose Acquisition Companies) seem to be losing interest. Do you recommend any or stay away?
A: Stay away—they’re all rip-offs and are simply a means by which managers can increase their fees from 2% to 20%. That's what they did with virtually all of them. This will end in tears.
Q: What's your feeling about satellite internet phone service replacing current internet cell service in the future?
A: It’s in the future, but it may be 10 years off in the future. If it happens sooner, it’s because Elon Musk was able to deliver cheap rocket service. He already has 20,000 satellites in the sky for his own Starlink global cell phone service for internet access.
Q: How does one buy a Bitcoin stock?
A: Well first of all, I highly recommend you buy the Mad Hedge Bitcoin Letter, which you can get in our store. But there's also the Greyscale Bitcoin Trust (GBTC) which allows you to buy a Bitcoin proxy very easily. I’ll even honor the discounted $995 price for my Bitcoin Letter for another day by clicking here.
Q: Is Warren Buffet and his value philosophy something I should be following, or is he outdated?
A: I have to say, buying stocks cheap with high cash flow will never go out of style. Currently, Warren’s big holdings are domestic industrials, banks, and Apple. All of those look like they will do well moving forward. Buffet’s Berkshire Hathaway (BRKB) has a built-in barbell element to it and is the subject of one of our LEAPS recommendations which has already been hugely successful.
Q: Is Home Depot (HD) at $330 a bargain?
A: Well, we just had a selloff and it bounced hard, and now we’re waiting for the domestic post delta recovery. It's hard to imagine both Home Depot and Lowes not doing well in this scenario.
Q: What will happen to tech when interest rates rise?
A: My bet is they go sideways to down small until you get another peak in interest rates (the next peak will be at 1.76% in the ten year US Treasury bond, the 2021 high) and once you hit that, then tech will take off like a rocket again, and in the meantime, you play the domestics while interest rates are rising. That is the game and will continue to be the game for a couple of years.
Q: Should I buy IBM (IBM) on a turnaround story?
A: No, I've been waiting for IBM to turn around for 10 years. They just don’t seem to get it. What they do is whenever a division starts to make money, they sell it and get cash like they did with the PC division and this year with its infrastructure business called Kyndryl. So, they’re not leaving any growth for the actual IBM holders.
Q: Do you like Square (SQ) at $256?
A: Yes, and that would be a great 2023 LEAPS candidate. All of the digital settlement payment systems are going to do well in the Bitcoin future. They also own quite a lot of Bitcoin. They are leading the charge into a digitized financial system.
Q: What’s a good Ethereum ETF?
A: The Greyscale Ethereum Trust (ETHE) is just the ticket.
Q: So you avoid energy, meaning oil and gas?
A: Yes, alternative energy we like, but it’s had an enormous run already so after a 7-month time correction it’s probably safe to get into solar. Traditional oil and gas (USO) is in a long-term secular bear market that started 13 years ago and will eventually go to zero. Last year’s visit to negative futures prices is just a start. Since 2020, the energy market weighting has gone from 15% to 2%.
Q: Is Natural Gas the only rational core fuel for the grid?
A: No, natural gas (UNG) still produces carbon even though it’s only half the amount of oil. This all gets replaced by solar in the next ten years. That’s why I tell people to stay away from energy like the plague. Would you rather buy natural gas at $4.50/btu or get solar electricity for free? Those are basically going to be the choices in ten years.
Q: Who is the biggest Aluminum producer?
A: Alcoa (AA) which we are a buyer on dips. By the way, if we do have to build 200,000 miles of long-distance transmission lines to cover the electrification of the US energy supply, all of that has to be made of aluminum. You don't use copper for long distances, you use aluminum (aluminum for you Brits).
Q: Would you buy Uber (UBER) at $40 today?
A: Probably, yes; it had a nice 40% correction. However, you are buying into the battle over gig workers—whether they should be treated as full-time or part-time workers. That is going to be a continuing drag on the stock until they win.
Q: What do you think of meme stocks?
A: You're better off buying a lottery ticket. Even with a low payoff, you get a 1:10 chance of winning on a $1 lottery ticket. Meme stocks could double or go to zero with no warning whatsoever—there’s no logic to this market at all.
Q: What do you think of Uranium?
A: Three words come to mind: Chernobyl, Fukushima, and Three Mile Island. I think uranium's time has passed, even though China is building a hundred nuclear power plants. It’s just too expensive to compete against solar on a large scale and impossible to insure. If you still like Uranium though, the Uranium Royalty Corp. (UROY) has had a nice pop recently. But the issue is that nuclear technologies can’t keep up with solar and digital. And they blow up.
To watch a replay of this webinar with all the charts, bells, whistles, and classic rock music, just log in to www.madhedgefundtrader.com, go to MY ACCOUNT, click on GLOBAL TRADING DISPATCH, then WEBINARS, and all the webinars from the last ten years are there in all their glory.
Good Luck and Stay Healthy.
John Thomas
CEO & Publisher
The Diary of a Mad Hedge Fund Trader
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