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The Anatomy of a Tesla ($TSLA) Trader Analyst

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Hi, my name is …

Marco Papa. I am a techie by trade and very much a product of the first dot com boom (and bust) of the 90’s. I originally came to this country from Italy to pursue a PhD in computer science at USC, back in 1981.  I worked for 6 different dot-coms in the span of 10 years, starting as software developer, then system architect all the way to several CTO positions. All these companies, except one, no longer exist: they either were sold, or went bankrupt.  But in the process I learned a lot about company valuations, private placements, and raising tens of millions of dollars from VCs, banks and brokerage houses. And yes, like many other Internet executives of the time, I owned a Ferrari 355 spider convertible. I’ll come back later to the Ferrari.

After 10 years of high-stress jobs, I decided to move to slower-paced “environments”:  for the past 14 years I have held a daytime job working for state government and a nighttime job teaching Web Technologies at USC.

“Buy what you know”

But it is during the dot-com era that I started tinkering with Mutual Funds and stocks. For the initial 15 years I was an “investor”.  I would purchase mutual funds and stocks and hold them for a minimum of a year. Then in 2005 something changed: I consolidated all my retirement funds from the various companies I had worked for into a single SEP-IRA at E-Trade and strangely enough, after answering a simple questionnaire, E-Trade gave me access to Level 2 Options trading. I did not know much about options then, so I subscribed to a service called the Options Oracle from The Market Guys (http://www.themarketguys.com), which recommends entry and exit points for options trades for a fee. I learned a lot, but I felt frustrated that I was trading options of companies I knew nothing about. So I decided to follow an investment method that I had learned when I used to hold shares in Fidelity Magellan Fund (https://en.wikipedia.org/wiki/Magellan_Fund), a fund with $20B of stock investments, and the best performing one between 1977 and 1990, averaging over a 29% annual return. Peter Lynch, Magellan fund manager at that time, created the investment method commonly referred to as “Buy What You Know”: invest in businesses that you understand “personally”, especially if you buy and own their products. Since that time, I have tried to follow the “Buy What You Know” method in all my investments and trades.

Interestingly it is at that time that I started making my “switch” from Windows to the Mac. My first Apple purchase was an iPod; I subsequently trashed a ThinkPad and bought a MacBook, and finally trashed an HP desktop and bought a Mac Pro. Today I own probably close to 25 Apple devices, once I count all the iPhones, iPads, Apple Extremes, Apple TVs, and Apple Watches my wife and I use daily. In 2006 I started “investing” in Apple stock. After the stock market crash of 2007, I started “trading” Apple options. Between 2006 and 2014 I made more money trading AAPL than any other stock.  During that time, I added a few more stocks to my trading pattern: Netflix (NFLX), Amazon (AMZN), Google (GOOG), Facebook (FB), Starbucks (SBUX) and more recently Tesla Motors (TSLA). These are all companies that qualify for the “Buy What You Know” mantra: I either buy their products regularly or use them in my daily life.

$TSLA to P90D

I started reading about Elon Musk since he founded PayPal. I read about his promotion of sustainable energy as a way to save our planet. In 2012 I installed solar panels in my house in Redondo Beach, CA. In 2013 I replaced my energy-hog 2007-vintage Mac Pro with a low-energy Mac Pro (a.k.a. the “can”). In 2014 I switched all light bulbs in my house (over 300 of them) from incandescent to low-energy LEDs. And in 2015 I bought a red Tesla Model S P90D (a.k.a. Red Five X-wing). By now my carbon footprint is in pretty good shape.

I started trading TSLA options in early 2014. By summer of 2015 I had enough profits from option trades in TSLA, AAPL and SCO to pay in cash 2/3 of the price of my P90D.

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After trading TSLA for over two years I have a few opinions on how to invest or trade it. A stock for me is a good “investment” if it can be held for about 5 years, and provide annual stock gains of 5-10% per year. If you had purchased TSLA stock at the IPO in 2010 at about $19, you would be sitting pretty at a 10-bagger at $250, 6 years later. But if you had purchased it in March 2014 at $265 you’d be about even, two years later.  Twice in the past couple of years TSLA stock raised to $275, while slamming back to $140-180 in just 6 months, both times. Tesla in my opinion is not yet a good long term investment.

Part of the reasons is that good long term investments are based on “fundamental” analysis of stocks. Fundamental analysis is based on analyzing the characteristics of a company in order to estimate its “value:” high earnings, income, high profit margins, and small debt are what investors are looking for. According to a recent thestreet.com article, “Tesla Motors has a ‘sell’ rating and a letter grade of D+ at TheStreet Ratings because of the company’s deteriorating net income, generally high debt management risk, disappointing return on equity, poor profit margins and feeble earnings per share growth.”

So if I would not recommend TSLA stock as an investment, why would I even consider TSLA for my trades? Because TSLA is a wonderful stock to trade, not on the basis of “fundamental” analysis, but on the basis of “technical” analysis. In finance, technical analysis is a security analysis methodology for forecasting the direction of prices through the study of past market data, primarily price and volume. The “value” of the company does not matter. Even just 10 years ago, trading on the basis of technical analysis was only for the pros: brokerage houses, money managers and hedge fund managers. Today individuals have access to tools, indicators, and “conditional” trades that make trading, and especially options trading, much easier and safer.

I consider myself a “swing” trader: I normally enter an option trade when at least 3 indicators are firing on all cylinders; I put conditional stops to lower my losses when the market goes against my trade, and get out of trades when indicators are turning negative.

Coming up

It turns out that TSLA is a fairly good “swing” stock, where the above methodology has worked well in the past. In the next few weeks, while covering the news about the company that can affect its stock price, I will introduce some of the tools, indicators and techniques that any trader can use to profit on TSLA. You’ll hear names like moving averages, pay-day cycles, MACD indicator, Heikin-Ashi charts, support and resistance lines. You will see that none of these are rocket science.

I will write a column, a couple of times a week, providing TSLA stock analysis, information on investing and trading TSLA stock and options, and covering TSLA earnings and all rumors and news that can affect the stock.

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Now back to the Ferrari. The F355 Spider that I purchased in 1996 was priced at $137,000, had a top speed of 183mph, 375hp, 268lb-ft torque, and performed 0-60mph in 4.5s and the quarter mile in 12.9s.

The Tesla Model S P90D (Insane) I purchased in 2015 has a very similar price, $142,000, but with a top speed of 155mph, 691hp, 713lb-ft torque, and performs 0-60mph in 3.1s and the quarter mile in 11.7s. The Tesla sedan beats the Ferrari in all but the top speed rating.

But while you needed a Formula 1 driver to obtain those numbers in the Ferrari, mainly to change the gears at the exact right time, effectively anyone can get the Tesla numbers just by flooring the accelerator.  The only thing I miss from the Ferrari is the “roar” of the engine; for everything else the Tesla is so much more fun.

Disclosure: I currently have no positions in any stocks mentioned, but I may plan to initiate positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Teslarati). I have no business relationship with any company whose stock is mentioned in this article.

 

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Investor's Corner

SpaceX reveals how its 1 Million AI satellite network will work and prevent space collisions

SpaceX reveals plans for one million Starmind AI satellites and calls out operators hiding maneuvers.

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Concept rendering of SpaceX Starmind constellation via Grok
Concept rendering of SpaceX Starmind constellation via Grok

SpaceX has put the largest satellite count it has ever published into writing, and it says that plan only works if every other operator in orbit starts sharing what it knows.

In a new Space Safety page highlighted Tuesday morning by Sawyer Merritt on X, SpaceX said it “plans to operate up to 100,000 Starlink satellites and up to 1 million Starmind AI satellites to meet the growing demand for broadband and supercompute.” Starlink has a little over 11,000 satellites in orbit today, so the target alone implies roughly a ninefold expansion of the broadband network.

Starmind is SpaceX’s orbital AI compute constellation. Elon Musk confirmed the Starmind name in June after an xAI trademark filing surfaced, and in August SpaceX said it was working with Nvidia on the compute payload. The FCC accepted the filing for up to one million satellites back in February.

FCC accepts SpaceX filing for 1 million orbital data center plan

SpaceX also released a new render of what a full Starmind constellation could look like. Alongside it, SpaceX VP Michael Nicolls explained why the satellites will not operate on their own. “We need to operate clusters of satellites in tight formation to get enough coherent compute to run AI models efficiently,” Nicolls said. “A cluster will be 10-ish satellites connected with 10 terabits or so of bandwidth between them, and interconnected to the broader constellation.”

That is the most specific detail SpaceX has given on how Starmind will be built. Instead of a million independent servers, the network would work as tightly packed groups of about 10 satellites acting as one compute unit, with Starlink’s laser links carrying results back to Earth.

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Packing satellites that close together, at that scale, makes collision avoidance the central problem, and most of the Space Safety page is aimed at other operators. SpaceX said Starlink encountered collision risks with about 650 unique maneuvering third party satellites in 2026, and only about half of them shared data. Over six months, Starlink recorded roughly 164,000 more collision risks where the closest approach came within four hours of an unannounced maneuver.

Some operators keep maneuver plans private over proprietary concerns, while others cannot get government permission to share them. SpaceX called those policies “counterproductive,” saying they “largely only serve to create preventable collision risk between satellites.” Starlink is also offering a free ephemeris sharing and screening platform that returns risk results within a minute, backed by its Stargaze network of 30,000 optical sensors.

The push comes as the Starmind application draws opposition from astronomers and environmental groups. In a September filing with the FCC, SpaceX said each Starmind satellite could weigh up to 4,000 kg, nearly seven times the mass of a Starlink V2 Mini. Musk has brushed off crowding concerns before, telling viewers in June that “space is enormous” and that SpaceX already knows how to run very large constellations safely.

SpaceX’s Starmind page says its Gigasat factory in Bastrop, Texas, is designed to produce AI satellites at scale, with deployment of thousands of units starting as soon as late 2027.

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Investor's Corner

Tesla deliveries best Wall Street guesses alongside second-best energy quarter

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Credit: Tesla Europe & Middle East | X

Tesla (NASDAQ: TSLA) reported strong delivery figures that beat Wall Street guesses, and they were revealed alongside the company’s second-best quarter in terms of energy deployments ever.

Tesla announced this morning that it delivered 486,532 cars in Q3, while producing 464,391, exceeding analyst consensus, which sat around 462,000 units.

Meanwhile, Tesla reported 13.7 GWh of energy storage deployed for the quarter. That’s the second-best quarter Tesla has ever reported on that side of things.

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Vehicle Deliveries

Deliveries were strong, and it was another quarter when Tesla had the opportunity to outshine the Wall Street pundits who are quick to criticize and slow to give credit. Tesla saw a slight decrease in deliveries compared to Q3 2025, but Tesla still had the $7,500 EV Tax Credit to use to help incentivize consumers to pick an EV.

A small decrease of 2.1 percent is pretty telling because it shows Tesla does not need massive federal credits to convince consumers to purchase its vehicles.

It was also the company’s third-best performance all-time in terms of deliveries, trailing that of Q3 2025 with 497,099 deliveries and Q4 2024, when the company handed over 495,570 cars.

We reported several days ago that Tesla Showrooms across the United States were completely bare of inventory or unclaimed units. Many locations also removed Demo Drive units, which had been bought by customers looking to take delivery sooner.

Tesla showrooms picked clean ahead of Q3 end as demand looks strong

Energy Generation

Tesla’s Energy Generation performance in Q3 was also very strong, as the company deployed 13.7 GWh of energy storage over the past three months. The only quarter when Tesla reported stronger energy deployment figures was Q4 2025, when 14.2 GWh of energy storage was deployed.

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Tesla’s Q3 performance in energy generation has continued to grow each quarter, with the company increasing its deployments by ten-fold since Q3 2021, when just 1.3 GWh was deployed.

It is also nearly double what it was in Q3 2024, when the company reported 6.9 GWh. This is one of Tesla’s quickest-growing divisions, and it flies under the radar with fans and analysts, as many are focused on self-driving or the vehicles themselves.

Tesla Stock

Shares rose 5.07 percent to $372.06 at just after 10 a.m. on the East Coast. This is a rarity for Tesla after a strong delivery report, as positive news usually brings the stock down. Many quarters with extremely robust delivery reports have not been as kind to the Teslanaires of the world.

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Elon Musk and Trump are closer than ever, and Tesla could be the big winner

Elon Musk sat beside Trump as AI leaders signed a voluntary White House safety accord.

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Elon Musk had the seat right next to President Donald Trump on Tuesday as the White House hosted the leaders of America’s biggest artificial intelligence companies for a lunch that ended with a voluntary industry accord on AI safety.

A seating chart Trump posted on Truth Social placed Musk at the president’s left in the East Room, with Nvidia CEO Jensen Huang on his right, according to an Associated Press reporter. Anthropic CEO Dario Amodei, OpenAI President Greg Brockman, Meta’s Mark Zuckerberg, Google’s Sundar Pichai, Microsoft’s Satya Nadella and Amazon founder Jeff Bezos also attended, along with Vice President JD Vance and House Speaker Mike Johnson.

After the lunch, Trump told reporters outside the West Wing that the executives had signed “The White House Accord on Superintelligence: A Joint Commitment on Frontier SI Responsibilities.” Johnson described it as a voluntary statement of principles built on “robust internal controls and layers of internal and external review,” while Zuckerberg said company boards would independently review reports from outside auditors. Trump called the document “morally binding,” said he would name a new AI czar within days, and signed an executive order formally renaming artificial intelligence “super intelligence,” CNBC reported.

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Musk was not in the room for Tesla alone. Since SpaceX absorbed xAI, he runs the company behind Grok and one of the largest AI training operations anywhere. On September 25, he said another 220,000 Nvidia GB300 chips would come online at Colossus 2 within a week, with more expected in November and December.

SpaceX confirms third massive compute deal at Colossus data center

 

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Musk also used the trip to restate his energy ambitions. “SpaceX is aiming together with Tesla to do 200 gigawatts of solar production per year,” he said at an event in Washington. It is the same combined target he laid out that feeds directly into Terafab, the Tesla and SpaceX chip venture that will need enormous amounts of power.

The showing between Musk and Trump has come a long way, since the two had the very public split in mid 2025 after Musk opposed the “Big Beautiful Bill” and left DOGE. They reconciled at Charlie Kirk’s memorial that September, and Trump later called their relationship “good”. Since then, Musk has joined Trump’s China delegation in May and attended last week’s White House state dinner for Chinese President Xi Jinping.

For Tesla, that access to government official could pay dividends. As Teslarati noted in January, federal autonomy rules, NHTSA oversight and a single national standard for driverless vehicles all run through an administration Musk can more easily reach directly as Tesla works to scale Robotaxi and Cybercab beyond Texas.

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