Mad Hedge Biotech and Healthcare Letter
August 27, 2024
Fiat Lux
Featured Trade:
(NOT ALL THAT GLITTERS IS LILLY)
(JNJ), (LLY), (CRSP), (ISRG)

Mad Hedge Biotech and Healthcare Letter
August 27, 2024
Fiat Lux
Featured Trade:
(NOT ALL THAT GLITTERS IS LILLY)
(JNJ), (LLY), (CRSP), (ISRG)

I've been so busy chasing after Eli Lilly (LLY) and its trillion-dollar dreams that I nearly overlooked a gem in the making.
While everyone's obsessing over LLY's march towards that coveted $1 trillion market cap, there's another pharma giant that's been quietly chugging along, building value like it has for over a century.
I'm talking about Johnson & Johnson (JNJ). You know, that little company that's only been around for 138 years.
I understand that JNJ isn’t as exciting as the likes of Crispr Therapeutics (CRSP) with their fancy gene editing therapies, or Intuitive Surgical (ISRG) with their robotic surgeons, but, let me tell you, sometimes boring is beautiful – especially when it comes with a 3% dividend yield and a rock-solid business model.
Let's break it down, shall we?
First off, JNJ isn't sitting on its laurels. Just last week, they dropped $1.7 billion to snatch up a private heart-device company. That's not chump change, even for a behemoth like JNJ.
And speaking of big moves, the FDA just gave them the green light for a chemotherapy-free lung cancer treatment.
We're talking about Rybrevant plus Lazcluze, which showed a 30% reduction in the risk of disease progression or death compared to AstraZeneca's (AZN) offering.
That's not just incremental progress – that's potentially life-changing stuff for patients.
But they’re not stopping there. They're also shelling out $600 million upfront (with potential milestone payments up to $1.1 billion) for V-Wave, a company making shunts for heart failure patients.
This deal's expected to close before the year's out, beefing up JNJ's already impressive MedTech division.
Now, let's talk numbers. JNJ's current market cap is sitting pretty at just under $400 billion. Sure, it's not in Lilly's $850 billion stratosphere, but remember – slow and steady wins the race.
And speaking of winning races, JNJ was the global leader in pharmaceutical sales last year, raking in $85 billion. That's a cool 30% higher than their closest competitor, Roche (RHHBY).
But here's where it gets interesting for value hunters. JNJ's currently trading at an enterprise value of 12.8 times forward EBITDA. In English? It's reasonably priced compared to its peers.
Even better, it's trading near the bottom of its five-year range for forward P/E ratio, EV-to-EBITDA, and price-to-free cash flow. Translation: This stock's on sale, folks.
Now, I know what some of you are thinking. "But what about those talcum powder lawsuits?" Fair question.
JNJ's looking at potentially settling around $6.5 billion worth of claims. That's not a small amount, even for these guys.
But here's the kicker – they've got over $25 billion in cash on hand and generated about $19 billion in free cash flow over the last 12 months. They can take the hit and keep on ticking.
Let's talk products. Stelara, Tremfya, Darzalex, Erleada – these aren't just random drug names. They're cash cows for JNJ. And with a diverse portfolio where no single drug accounts for more than 13% of total sales, they're not putting all their eggs in one basket.
Still, I'm not saying JNJ is going to double overnight. This isn't some flashy tech stock riding the AI hype wave.
But for those of us with a long-term horizon and a love for steady income, JNJ looks mighty attractive.
Think about it – they've raised their dividend for over six decades straight. That's longer than some of you reading this have been alive.
And with a 77% payout ratio, they've got room to keep that streak going.
Sure, over the past decade, JNJ's total return of 106% might not set your hair on fire. It lags behind the S&P 500's 234% and even the Health Care Select Sector SPDR Fund ETF's (XLV) 189%.
But remember, past performance doesn't always guarantee future results.
Here's my take: JNJ isn't for the get-rich-quick crowd. It's for investors who appreciate a good night's sleep knowing their money's in a company that's weathered world wars, depressions, and yes, even lawsuits.
Will JNJ hit that trillion-dollar mark? I'd bet my last bottle of Tylenol on it. It might take a decade, but hey, good things come to those who wait.

Global Market Comments
August 27, 2024
Fiat Lux
Featured Trade:
(WHY YOU MUST AVOID ALL EV PLAYS EXCEPT TESLA),
(TSLA), (GM), (F), (RIVN), (NKLA), (F-SRNQ)

Markets live on fads.
Once a certain investment theme takes hold, the imitators start coming out of the woodwork in droves.
In 1989, all of the largest Japanese banks stampeded issuing naked short put options on the Nikkei Average by the billions of dollars when the index was at an all-time high. The Nikkei then fell by 85% causing tens of billions worth of losses.
I remember signing the paperwork on a $3 billion deal for the Industrial Bank of Japan on behalf of Morgan Stanley. It’s been 35 years, and I’m still waiting for those investors to come after me.
Then there was the peak of the Dotcom Bubble in 2000 and no less than five online pet food delivery companies raised billions. (remember Webvan and those cute sock puppets?) Every one of them went under.
So, what has been one of the biggest fads of 2024?
That would be electric vehicles.
You no longer have to wear Birkenstocks, grow your hair long, and smoke pot to drive an electric car. They have become a major part of the American economy. According to Adam Jonas at Morgan Stanley, EVs account for 8% of the total car market today and will grow to 10% by 2025 and 25% by 2030.
I have been involved with Tesla (TSLA) since its earliest days way back in 2003. Then it was one rich man’s hobby, with technology that was a reach at best, and unlikely to ever see the light of day as a public company. There it remained for seven years.
Then Tesla brought out the Model S in 2010, which I snapped up as fast as I could, picking up chassis no. 125 at the Fremont factory. My signature is still on the wall there as are those for all of the first 125 buyers. Every time I pick up a new Tesla I check if it is still there.
If the Model S worked it had the potential to be a real car. If it didn’t, I would wind up with $100,000 worth of inert aluminum, steel, silicon, rubber, lithium, and copper with only scrap metal value.
The trials were then only just beginning for Musk. He faced nervous breakdowns, sleeping in factories, and SEC prosecutions. After a decade of abuse, suddenly everything clicked. Total Tesla production is now running at a 1.7 million vehicle annual rate. The shares leaped 180-fold to a split-adjusted $425 from their post-IPO low of $2.40. That move financed a lot of retirements among my readers.
I remember what Steve Jobs once told me; “Like many overnight successes, this one took decades to pull off.”
Suddenly, making electric cars looked easy. Raising money to finance them looked even easier.
The problem is that all the new EV entrants now have a hyper-aggressive Tesla to compete against. Tesla has already locked up long-term supplies of crucial commodities essential for EV production, like copper, lithium, and chromium for stainless steel.
It has a 66% market share. It was a lock on experienced EV engineering talent. It has a near monopoly with a 48,000-strong national charging network which Ford (F) had no choice but to sign up for.
The best competitors can hope for is to peel off experienced employees from Tesla at inflated salaries, and then get sued by Tesla.
Enter the hoards, which I list below, a roll call of the shameless:
Nikola Badger (NKLA) – Has a hydrogen fuel cell power source that hasn’t a hope in hell of ever becoming economic. As I never tire of explaining to investors, while electric power is digital and infinitely scalable, hydrogen is analog and isn’t. Maybe that’s why the stock has been a disaster. Too many unbelievable promises and no actual functioning model. Gravity was their only actual power source. It just announced a recall of its electric trucks because of a coolant leak in the battery that caused fires.
Fisker (F-SRNQ) – If at first, you don’t succeed, why not fail again? This VEHICLE had double the number of parts of a conventional international combustion engine. Its chief claim to fame was that it got a free factory from the government in Joe Biden’s home state and the fact that Justin Bieber drove one. More flailing at the wind. It recently went bankrupt….again.
Aspark Owl – A $3.2 niche supercar with an appeal to maybe three car-collecting Saudi princes.
Bollinger B1 – Is a $125,000 SUV expected from a Michigan startup with only a 200-mile range. Why not pay nearly double the cost of a Tesla Model X and get half the performance?
The Byton M-Byte – Is a $45,000 crossover car from a Chinese start-up. China has actually been building electric cars longer than Tesla, but they have a tendency to break down or catch on fire. Quality and safety problems have until now kept them out of the US, and probably always will.
Genesis Essentia – A Croatian-based start-up with a major investment from South Korea’s Hyundai. It will most likely never get off the drawing board. The last time Croatia built cars was for the Austria-Hungarian Empire during WWI.
Rivian R1T (RIVN) – A start-up with a reasonably priced truck and up to 400 miles of range that will only make it because they have a 100,000-unit order from the largest shareholder, Amazon (AMZN). It’s perfect for local deliveries. The cars are beautiful and there is a two-year waiting list for the $80,000 list price vehicles. (RIVN) is the only alternative EV maker that will probably make it.
By now, virtually every major car manufacturer has or is about to roll out its entry in the electric car race. I list them below, skipping those that are more than two years out over the horizon. Notice the profusion of the letter “e” in the names. In fact, there are an astonishing 527 EVs either on, or about to hit the market.
They include the Porsche Taycan, Audi eTron, Jaguar I-Pace, Austin Mini Electric, Fiat 500e, Kia Niro EV, BMW i3, Chevy Bolt EV, Hyundai Kona Electric, and the Hyundai Ioniq Electric, Ford F-150 Electric, Ford Mustang Mach-E, and Nissan Ariya.
Not one of these comes even close to the price/performance and battery density of the Tesla cars. Tesla is a decade ahead of the competition and is accelerating its lead. At best, they will sell a few electric cars to those who are intensely loyal to their brands and lose money doing it.
In the meantime, Tesla hasn’t been sitting on its hands. Elon Musk plans to bring out a $25,000 model in two years that will bar entry to the field from any other competitor. It has its own $250,000 supercar, the Tesla Plaid, which will go zero to 60 MPH in 1.9 seconds and has a 600-mile range. The Tesla Cyber Truck at $60,000 has the specs to take on the enormous US pickup market. Did I mention that the company is on the verge of developing technology that will improve battery performance by a staggering 20-fold?
So Tesla is branching out to suck up every profit in every branch of the entire global auto industry.
And this is what most traders, especially the short sellers, got wrong about Tesla. The data is worth more than the car. The miles driven provide a springboard from which the company can offer very high value-added and profitable services, like autonomous driving. Not even Alphabet (GOOGL) can replicate this.
When I bought my first Tesla more than a decade ago, I knew I was betting on the company. The big risk was that General Motors (GM) would step in with their own cheap electric car and drive Tesla out of business.
In the end (GM) did that, but too little, too late. Its Chevy Bolt EV didn’t hit the market until the end of 2016. Today it offers a boring design, lacks autonomous driving, possesses only a 259-mile range for $36,620, and is subject to recall, thanks to recurring battery fires (click here for the link).
The quality is, well, Chevy quality. The company has already announced it will discontinue production.
Tesla is approaching 2 million. It’s too late to close the barn door after the horse has “bolted,” as GM is earning. Over the past decade, Tesla shares were up 180 times at the high. GM shares are nearly unchanged during the greatest bull market of all time.
It is competing against Teslas that are 20 years from the future, are fully autonomous, go to street-autonomous driving next year, and upgrade itself once or twice a month.
Make mine Tesla, please, which will soon become the world’s first trillion-dollar car company. Don’t waste your time or money on the others, either as a driver or investor.






I’ll Go with Tesla
The classroom, once a static space defined by chalkboards and textbooks, is on the cusp of a profound transformation. Artificial Intelligence (AI), once the realm of science fiction, is rapidly becoming an integral part of education, promising to reshape the learning experience for both students and teachers. As we embark on this journey into the AI-enhanced classroom of the future, it is essential to explore the potential benefits, challenges, and ethical considerations that lie ahead.
Personalized Learning: Empowering Every Student
One of the most exciting prospects of AI in education is the potential for truly personalized learning experiences. Traditional classrooms often struggle to cater to the diverse needs and learning styles of every student. AI has the power to change that.
Imagine a classroom where each student has an AI-powered learning companion, tailoring lessons and activities to their individual strengths, weaknesses, and interests. Struggling students could receive additional support and practice, while advanced learners could be challenged with more complex material. AI could also provide real-time feedback, helping students identify areas for improvement and track their progress over time.
Several educational platforms are already experimenting with personalized learning. For example, DreamBox Learning uses AI to adapt math lessons to individual students, providing personalized instruction and feedback. Carnegie Learning's MATHia platform uses AI to identify student misconceptions and provide targeted interventions.
Intelligent Tutoring: Expanding Access to Support
AI-powered tutoring systems hold the promise of providing personalized support to students beyond the classroom. These systems could be available 24/7, offering students help with homework, test preparation, and concept clarification whenever they need it.
AI tutors could also leverage natural language processing and machine learning to understand student questions and provide relevant explanations. They could adapt their teaching styles to individual students, offering different approaches to explain complex concepts.
Several AI tutoring systems are already in use. For example, Khan Academy offers free online courses and personalized practice exercises. Carnegie Learning's Mika platform provides personalized tutoring and feedback to students.
Automated Grading and Feedback: Freeing Up Teacher Time
Grading assignments and providing feedback can be a time-consuming task for teachers. AI has the potential to automate many of these routine tasks, freeing up teachers to focus on more meaningful interactions with students.
AI-powered grading systems can analyze student work, provide feedback on grammar and mechanics, and even assess higher-order thinking skills. This could allow teachers to spend more time providing individualized support to students, designing engaging lessons, and collaborating with colleagues.
Several tools are already available to help teachers with automated grading and feedback. For example, Gradescope uses AI to help grade assignments and provide feedback to students. Turnitin uses AI to check for plagiarism and provide feedback on originality.
Data-Driven Insights: Informing Instruction and Decision-Making
AI can also help teachers and administrators gain valuable insights into student learning. By analyzing data on student performance, engagement, and behavior, AI can help identify students who may be struggling or at risk of falling behind. This information can be used to provide targeted interventions and support to those students.
AI can also help teachers identify areas where their instruction may be ineffective or where students are struggling to grasp key concepts. This information can be used to adjust lesson plans, provide additional support, and ensure that all students are on track to succeed.
Several learning analytics platforms are already available to help teachers and administrators gain insights into student learning. For example, Google Classroom provides teachers with data on student engagement and performance. Microsoft Teams for Education offers similar features, as well as tools for collaboration and communication.
Immersive Learning Experiences: Engaging and Inspiring Students
AI has the potential to create immersive and engaging learning experiences that go beyond the traditional classroom. Virtual reality (VR) and augmented reality (AR) technologies can transport students to different times and places, allowing them to explore historical events, scientific phenomena, and cultural landmarks in a whole new way.
AI-powered simulations and games can provide students with hands-on experiences that would be impossible or impractical in a traditional classroom. These experiences can help students develop problem-solving skills, critical thinking, and creativity.
Several companies are already developing immersive learning experiences using AI and VR/AR technologies. For example, Google Expeditions allows students to take virtual field trips to different parts of the world. Labster offers virtual science labs where students can conduct experiments and explore scientific concepts.
Challenges and Ethical Considerations
While the potential benefits of AI in education are significant, there are also challenges and ethical considerations that must be addressed.
One of the main challenges is ensuring that AI is used equitably and does not exacerbate existing educational disparities. It is important to ensure that all students have access to AI-powered tools and resources, regardless of their socioeconomic background or location.
Another challenge is ensuring that AI is used ethically and responsibly. It is important to ensure that AI algorithms are transparent and unbiased, and that student data is protected and used appropriately.
Finally, it is important to ensure that AI does not replace the human connection in education. While AI can provide valuable support and insights, it is essential that teachers remain at the heart of the learning experience. AI should be used to enhance, not replace, the role of teachers in inspiring and guiding students.
The Road Ahead
The future of the AI-enhanced classroom is full of possibilities. AI has the potential to transform the way students learn, teachers teach, and schools operate. By embracing AI and addressing the challenges and ethical considerations, we can create a future where all students have the opportunity to reach their full potential.
As we move forward, it is important to continue researching and developing AI-powered educational tools and resources. We must also ensure that teachers and administrators are trained in the effective use of AI in the classroom. By working together, we can create a future where AI empowers every student to learn, grow, and succeed.
Mad Hedge Technology Letter
August 26, 2024
Fiat Lux
Featured Trade:
(LET IT SNOW)
(SNOW), (NVDA)

Some might believe that there are no more growth companies out there in the tech sector.
Innovation has been dragging its heels for quite some time.
Shouldn’t we have put someone on Jupiter yet?
Tech is still very much in the software revolution.
Screens and iPads have been the devices that have allowed software companies to print money.
Then came the monopolistic stranglehold of big tech like Google and Amazon that has really crushed the small guy.
However, there is still room to flourish for smaller companies that are punching above its weight like Snowflake (SNOW), a software company, renowned for its data cloud platform which houses a global network designed to maximize its cloud potential.
This platform allows thousands of organizations to manage their data concurrently, providing both scale and performance.
Snowflake’s unique platform allows thousands of organizations to manage their data with extensive storage and computing power.
Key features of the platform include data storage, processing, and analytic solutions that run faster than traditional systems.
SNOW disappointed in its sales outlook which is why the stock cratered in the short-term, but I do believe this is a buy-the-dip opportunity for the objective investor.
It assured investors that results weren't affected by AT&T's recent data breach or the Crowdstrike outage.
Deceleration is never a term shareholders want to hear from a public company.
The reason for the slowdown is that other companies are beginning to pull back their budgets.
Snowflake’s data warehouse also competes with platforms operated by larger technology giants such as Amazon’s (AMZN) Redshift and Alphabet’s (GOOGL) BigQuery.
These companies could challenge Snowflake’s unique usage-based pricing model as compared to traditional subscription-based pricing.
Lastly, the company still has not turned profitable, leading investors to question the sustainability of the company’s business model.
The company is actively expanding its capabilities in new ways.
Snowflake has developed its own Large Language Model (LLM) called Arctic, which has outperformed other LLM models in various benchmarks, such as Meta Platforms’s (META) Llama.
Furthermore, the company is also enhancing its capabilities through a strategic partnership with Nvidia (NVDA) which aims to provide its customers with a platform designed to boost AI productivity, thereby enhancing business performance.
These 10 new features will provide new revenue streams and more users, re-accelerating Snowflake’s year-on-year revenue growth.
Snowflake’s focus on ramping up its AI offerings displays its commitment to maintaining its leadership in the data warehousing sector.
I do believe that SNOW is worth a look.
It’s true that competition will be a rough ride with the likes of big tech looking to outmuscle SNOW.
That is a serious risk to the long-term viability of the business model and I am not downplaying this risk.
At a $40 billion market cap, the stock definitely screams small company.
However, I do believe there is more room to run to the upside, but the growth is definitely limited.
I think at $115 per share, it is worth a trade and the next pop would be a great time to take profits.
Much of the rate hikes have been discounted into the price of shares so I do believe they will need to show us more than just give them the benefit of the doubt.

“Price is what you pay, value is what you get.” – Said Investor Warren Buffett


(WILL NVIDIA’S EARNINGS JUICE THE MARKET, PUT IT TO SLEEP OR TANK IT?)
August 26, 2024
Hello everyone
Week ahead calendar
Monday Aug. 26
8:30 a.m. Durable Orders (July)
Previous: -6.6%
Forecast: 4%
10:30 a.m. Dallas Fed Index (August)
Tuesday Aug. 27
9:00 a.m. FHFA Home Price Index (June)
9:00 a.m. S&P500 /Case Shiller Home Price Indices (June)
10:00 a.m. Consumer Confidence (August)
10:00 a.m. Richmond Fed Index (August)
9:30 p.m. Australia CPI Indicator
Previous: 3.8%
Forecast: 3.4%
Wednesday Aug. 28
No notable economic data.
Earnings: Nvidia, Bath & Body Works, J.M. Smucker, Salesforce, CrowdStrike, NetApp, HP
Thursday Aug. 29
8:30 a.m. Continuing Jobless Claims (08/17)
8:30 a.m. GDP second preliminary (Q2)
8:30 a.m. Initial Claims (08/24)
8:30 a.m. Wholesale Inventories preliminary (July)
10:00 a.m. Pending Home Sales Index (July)
Earnings: Campbell Soup, Best Buy, Dollar General, Autodesk, Ulta Beauty, Lululemon Athletica
Friday Aug. 30
8:30 a.m. PCE Deflator (July)
8:30 a.m. Personal Consumption Expenditure (July)
Previous: 2.6%
Forecast: 2.6%
8:30 a.m. Personal Income (July)
9:45 a.m. Chicago PMI (August)
10:00 a.m. Michigan Sentiment final (August)
This week is dominated by Nvidia earnings which are out Wednesday.
They will be closely watched as a guide to the direction of the whole sector, and the market as a whole.
On Aug. 5 we saw Nvidia shares fall as low as $90.69 per share amid a broader market sell-off, as well as reports of delays on its Blackwell chips. (Here, I told everyone to add weight). Now, they’ve surged more than 40%, to about $125 per share currently, as traders rushed to buy the dip.
CEO, Jensen Huang has revealed that the newest generation of its chips cost around $10 billion in research and development. Now, that is a huge barrier to entry for any competitor.
There are high expectations ahead of these results, so there is a possibility that the stock and the market could either act benignly to Nvidia’s numbers or dive.
Also noteworthy of attention this week is the July personal consumption expenditures price index (PCE). The numbers here could show that the Federal Reserve is well on its way to its 2% inflation objective, as the central bank prepares to cut rates in September – an action that Chair Jerome Powell last Friday indicated in his Jackson Hole speech.
“The time has come for policy to adjust…the direction of travel is clear, and the timing and pace of rate cuts will depend on incoming data, the evolving outlook, and the balance of risks.”
A softer inflation print implies investors can turn their attention to the labour market – next month’s job’s report, which could determine whether the Fed lowers rates by a quarter or half-percentage point in September.
Markets are currently pricing in the likelihood the key overnight lending rate will fall one percentage point by the end of the year to a range 4.25% - 4.5%.
Wall Street is bullish. But the journey from now until the end of the year may be fraught with turbulence, and high drama. Don’t forget we are in a seasonally weak period for stocks, and we are also heading into the U.S. presidential election. Add to that the ongoing geopolitical risks around the globe.
By and large, Wall Street is still shrugging its shoulders at world events and mapping out its own path.
But black swans are always lurking: what if the Fed back peddles on a 50pt rate cut, and what if the conflicts around the world escalate? And what if we are blindsided by something that is totally out of left field?
As I highlighted in an earlier post from a piece entitled – think backwards: think what can go wrong and then take steps to shore up your world against sudden shocks. Even more importantly, check your behaviour, and know what action to take after a shock takes place.
MARKET UPDATE
S&P500
We are still in an uptrend, but exhaustion is approaching. In the short term, the market’s strong rally from its 5,119 corrective Wave 4 low of October 5 is nearing completion and could well peak in the short term.
Then we are at a juncture. Either the market will correct to a Wave ii of Wave 5, enabling this final fifth wave advance to subdivide and extend considerably further over coming weeks/months before the bull market is exhausted, or it will mark the completion of Wave 5 itself, ushering in a bear market.
I am inclined to favour the former and am looking for the market to reach our H & S target of 5,735 or even rally towards 6,000 before exhaustion.
GOLD
The yellow metal continues in an uptrend after it showed a sustained break through the $2,500 level.
Support = $2,470/$2,500
Targets = mid $2,500’s and then on to $2,670.
BITCOIN
It’s possible to interpret a completed corrective structure here, which should enable the resumption of the coin’s uptrend.
Support= around $62,700/$61,500
Next Resistance = around $69,300
QI CORNER

PSYCHOLOGY CORNER
If It Fits, Take It
Take every setup that fits your system when it crosses your path. No amount of over-analysis will tell whether it really will work or not, but as long as it fits your setup, it’s good to take. When we over-scrutinize well-fitting setups, we create tension and anxiety. Take every opportunity that fits and allows you to trade in harmony with the market and put your faith in your setup, not your overly critical mind.
Know When to Cash Out
Regardless of whether you have a great analysis of what you think the market is going to do, you must develop a clear plan for exiting a trade a winner. Without a clear trigger, many traders will hold on, expecting (and hoping) the market will move in the direction their analysis indicated. The problem is the market doesn’t always go in the way well-thought-out analysis said it would. Have a trigger in place to take your profits rather than let the market deliver a clear exit sign.
HISTORY CORNER

A period of Great Inflation lasted from 1965-1982.
Over the nearly two decades it lasted, the global monetary system established during World War II was abandoned, there were four economic recessions, two severe energy shortages, and the unprecedented peacetime implementation of wage and price controls. Siegel saw it as “the greatest failure of American macroeconomic policy in the postwar period.”
But out of failure can also come change, and that became evident in macroeconomic theory, and the rules that today guide the monetary policies of the Federal Reserve and other central banks around the world. If the Great Inflation was a consequence of a great failure of American macroeconomic policy, its conquest should be counted as a triumph.




SOMETHING TO THINK ABOUT
“He who buys what he does not need steals from himself.” – Swedish Proverb

Cheers
Jacquie
When John identifies a strategic exit point, he will send you an alert with specific trade information as to what security to sell, when to sell it, and at what price. Most often, it will be to TAKE PROFITS, but, on rare occasions, it will be to exercise a STOP LOSS at a predetermined price to adhere to strict risk management discipline. Read more
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