Everyone calls $TSLA a car company. Stop.
Tesla is an AI and robotics company that happens to make cars. The automotive business is the legacy revenue stream funding five simultaneous moonshots. That's like calling Amazon a bookstore in 2005 because books were still their biggest revenue line. Let me show you what you're actually buying — and what you're risking — at $418.
I've been staring at this stock for the better part of a decade. Argued about it on the desk during my banking days, watched it turn regular people into multi-millionaires, and watched a few of those same people give it all back because they couldn't size a position properly. Tesla does that to people. It makes you emotional. And emotional is how you lose money.
So I'm going to try to do something almost impossible today: give you a cold, rational breakdown of a company that nobody — nobody — talks about rationally. We'll go through the five S-curves one by one, stack them against the risks, and you can decide for yourself whether $418 is a screaming buy or a magnificent trap.
Quick personal aside before we dive in. My old roommate Danny — you might remember him from the GME deep dive — well, after his GameStop saga, he pivoted straight into TSLA LEAPs. I gave him endless grief about it. "Danny, you're going from one meme stock to another," I told him over beers. He just grinned. Those LEAPs are up 340% now. He sends me screenshots every Friday. At least this time there's a real business underneath the hype.
Full transparency: I hold TSLA January 2027 $350 calls (entered at ~$72/contract when TSLA was near $350 last summer) and I'm adding on dips. Total TSLA exposure is about 8% of my portfolio. I also carry a small put spread as a hedge. I am long-biased on Tesla. I've tried to present both bull and bear arguments fairly below, but you should know where I stand before reading my analysis. Do your own research.
Alright. Let's tear this thing apart.
To understand where Tesla's robotaxi business is headed, you first need to understand how the Model 3 ramp actually played out — because it's the same playbook, running on a different timeline.
Go back to Q3 2017. Tesla produced 260 Model 3s that entire quarter. Two hundred and sixty. The bears were circling. "Production hell" became the most-used phrase on FinTwit. CNBC ran segments every day about how Tesla was going bankrupt. Wall Street was writing obituaries.
Then something happened. By Q2 2018, Tesla hit a 5,000-per-week burst rate. That was the inflection point — the elbow of the S-curve. From there, the ramp went near-vertical: by 2020, Tesla delivered 365,240 units. Zero to half a million per year in roughly three years from the moment of inflection.
Now map that template onto the robotaxi program. Tesla launched in Austin in June 2025. Seven months later, on January 22, 2026, they crossed the most important threshold in autonomous driving history: fully unsupervised rides, no safety driver, paying customers. They now have an estimated 240-500 vehicles in the fleet (Tesla claims 500+, third-party counts are lower), have completed nearly 700,000 paid miles, and are actively expanding to seven additional cities in H1 2026.
700,000 paid miles and counting.
In Austin, they're operating fully driverless — no safety monitor in the vehicle. San Francisco still requires a safety driver. FSD v14 averages roughly 1,450 miles between critical disengagements based on crowdsourced data, though one owner recently completed a 12,961-mile coast-to-coast trip with zero interventions across 30 states — the first such feat ever recorded.
Here's the thing about S-curves: you can never see the inflection point until you've already passed it. With Model 3, the "260 units" quarter looked like abject failure. But it was actually the flat bottom of the S-curve — the quiet before the vertical. Robotaxi right now? 500 vehicles and 700K miles looks tiny compared to Waymo's 450K weekly rides. But this is Tesla's "Q3 2017 moment." The S-curve inflection is projected for late 2026 to mid-2027, and when it hits, the scaling advantage of a software-defined, camera-only system over a LiDAR-dependent fleet becomes overwhelming.
I get chills thinking about this. The Model 3 went from "production hell" to half a million units per year in three years from inflection. If the robotaxi follows even remotely the same trajectory, we're looking at millions of autonomous miles per day by 2028. That's not a car business anymore. That's a transportation utility. And here's what kills me — it's priced at exactly zero dollars in most sell-side analyst models. They literally don't model it.
While the existing Model 3/Y fleet handles robotaxi duty today, the real paradigm shift is the Cybercab: Tesla's purpose-built autonomous vehicle. No steering wheel. No pedals. No compromise. This isn't a car with self-driving bolted on — it's a robot designed from the ground up to move humans without human input.
Production starts April 2026 at Giga Texas, and the target price is under $30,000 per unit. Let that register for a moment. A fully autonomous vehicle, manufactured at scale by arguably the most efficient auto manufacturer on earth, for the price of a base-model Toyota Camry.
The regulatory landscape may be about to clear a massive hurdle. The SELF DRIVE Act of 2026 (H.R. 7390), introduced February 5 with bipartisan support, would create the first federal framework for autonomous vehicle safety and — crucially — establish federal preemption of state-level AV restrictions. If passed, Tesla could deploy robotaxis nationwide under a single regulatory regime instead of fighting city-by-city, state-by-state. It also explicitly allows "limited commercial operations" for autonomous vehicles under testing permits. This is the third attempt at this legislation (prior versions in 2017 and 2021 failed), but the political climate is more favorable now.
Those Austin unsupervised rides that started January 22nd? They're not just a PR stunt. Every single mile driven by the current fleet trains the neural network that the Cybercab will ship with on day one. Each ride generates training data that makes the next ride safer, smarter, and more efficient. It's a flywheel that compounds.
Tesla's target: $0.20 per mile. That's half of Waymo's estimated $0.40 per mile — and Waymo requires $100K+ in LiDAR and sensor hardware per vehicle. Tesla's vision-only approach has a structural cost advantage that compounds with every vehicle produced. Waymo is winning today's battle — and it's not close on the numbers:
| Waymo | Tesla Robotaxi | |
|---|---|---|
| Fleet Size | ~2,500 vehicles | ~240-500 |
| Cities | 5 (SF, LA, Phoenix, Austin, Atlanta) | 2 (Austin, SF Bay) |
| Weekly Rides | 400,000+ | Not disclosed |
| Lifetime Rides | 20+ million | ~700K miles |
| Safety Record | 88% fewer property claims (Swiss Re) | ~1 crash / 55K miles |
| Safety Driver | Fully driverless everywhere | Driverless Austin only |
| Cost/Mile | ~$0.40 (estimated) | $0.20 (target) |
| Hardware | $100K+ LiDAR suite per vehicle | Camera-only (~$1K) |
But here's Tesla's structural advantage: Waymo needs $100K+ in LiDAR hardware per vehicle. But Tesla is building to win the war. At $0.20/mile versus the average American's $0.60-0.70/mile total cost of car ownership, a robotaxi becomes a 70% cost reduction in personal transportation. At that price point, owning a car in a city becomes economically irrational.
This is where the Tesla bull case goes from "reasonable thesis with strong catalysts" to "science fiction with a price tag." I mean that in both the best and worst senses of the phrase.
Gen 3 Optimus mass production began in January 2026 at Fremont. The timing isn't coincidental. Tesla is winding down Model S and Model X production, and that freed-up factory capacity is being redirected entirely to humanoid robots. The stated targets are aggressive even by Musk's own standards:
- 100,000 units by late 2026
- 1 million per year at Fremont (full capacity)
- 10 million per year at Giga Texas (eventual ramp)
- Target unit price: $20,000 - $30,000
- Total addressable market: $10 trillion+
A $20K humanoid robot that can perform manual labor would fundamentally reshape the global economy. It would be the most transformative consumer product since electricity. The TAM isn't $10 trillion because of one application — it's because every industry on earth that uses human labor would be a potential customer. Warehousing, construction, agriculture, eldercare, manufacturing, retail, food service. All of it.
If Optimus works at scale, Tesla isn't a $1.3 trillion company. It's a $10 trillion company. That's the bull case in its purest form.
Now let me douse the hype with cold water, because somebody has to.
Musk himself admits that NO Optimus robots are currently doing "useful work" in Tesla factories. Those are his words, not a bear's spin. There are 1,000+ units deployed, but they're limited to controlled tasks in controlled environments. Pick-and-place operations in a structured setting. Not the kind of flexible, general-purpose labor that justifies a $10 trillion TAM.
The gap between press releases and production reality is classic Musk. Remember when Full Self-Driving was "coming next year" every year from 2016 to 2024? Eight years of "next year." The Optimus timeline could easily slip by 2-3 years, and 100K units by late 2026 requires a manufacturing ramp that makes the Model 3 production hell look like a Sunday picnic.
I'm not saying Optimus won't work. I'm saying the timeline is aspirational, not operational. And here's what really matters: on the Q4 2025 earnings call (January 28, 2026), Musk himself admitted that no Optimus robots are currently doing "useful work" at Tesla factories — contradicting earlier claims of 1,000+ units deployed. Over 1,000 robots exist in the factory, but their actual utility is still being proven. Price it accordingly. If you're putting money into TSLA because of Optimus alone, you're making a venture capital bet, not a stock investment.
While everyone is arguing about robotaxis and robots, Tesla quietly delivered on a promise that's been five years in the making. And almost nobody noticed.
Remember Battery Day, September 22, 2020? Musk stood on a stage and promised a revolutionary dry cathode manufacturing process for the new 4680 cell. The market yawned and then punished the stock — down 10% the next day. "Vaporware," the bears said. "He didn't even show working cells." And honestly? They were right to be skeptical at the time. Tesla's battery promises had a long history of delays.
But five years later, the dry cathode process is confirmed and in production. And the numbers are staggering:
- 50% smaller factory footprint (dramatically less capital per GWh of capacity)
- 90% less energy consumed in the coating process
- 30% cost reduction per cell vs. wet cathode methods
But Tesla didn't stop at proving the process works. They announced four new 4680 variants, each purpose-built for different applications:
- NC05 — The workhorse. High-volume, standard-range vehicles.
- NC20 — Optimized for SUVs, trucks, and larger platforms that need higher capacity.
- NC30 — The breakthrough cell: silicon anode technology. Silicon can theoretically deliver 2-3x the energy density of graphite, meaning longer range in a lighter, cheaper pack. However, Tesla has warned that US suppliers cannot yet produce battery-grade graphite at the required purity, creating a supply chain vulnerability as tariffs on Chinese graphite loom.
- NC50 — Ultrafast charging optimized for robotaxi and commercial fleet applications where uptime is everything.
The NC05 and NC20 are already shipping in the Cybertruck and the refreshed Model Y. The NC30 silicon anode variant is the one that makes battery engineers lose sleep — if Tesla cracks volume production on silicon anodes, they'll have a multi-year technology lead over every competitor in the industry.
This is the catalyst I'm most excited about — and the one nobody's talking about. Battery cost is the connective tissue that ties all five S-curves together. A 30% cost reduction per cell flows directly into: lower vehicle prices (more units sold), better robotaxi economics (higher margins per mile), cheaper Megapacks (energy storage growth), and lower Optimus unit costs (faster adoption). Every division benefits. Most analysts are barely covering it because batteries aren't sexy. But they're the foundation everything else is built on.
If I had to make a single bet on which Tesla division will deliver the biggest upside surprise in 2026, it's this one. The energy storage business is an absolute beast hiding in plain sight.
$12.8 billion in revenue, up 26.6% year-over-year. But here's the number that should make your ears perk up: 30% gross margins. That's the highest-margin division in all of Tesla. Higher than automotive. Higher than services. Higher than everything. Energy storage is a profit machine.
This division makes me want to pound the table. They deployed 46.7 GWh in 2025, up 49% year-over-year. And sitting quietly on the balance sheet is $4.96 billion in deferred revenue — contracted work that will flow through the P&L throughout 2026 — contracted work that will be recognized as revenue throughout 2026. It's basically a guaranteed growth catalyst that's already been booked but hasn't flowed through the P&L yet.
The product roadmap is equally impressive:
- Megapack 3 — Next-generation utility-scale storage with higher energy density and lower per-kWh cost
- Megablock — A massive 20 MWh modular unit designed for rapid deployment at grid scale
- Houston Megafactory — 50 GWh/year of production capacity, bringing Tesla's total to a staggering 133 GWh
Here's what I love about the energy business: it doesn't require robotaxis to work, it doesn't need Optimus to succeed, and it doesn't depend on Elon's Twitter behavior or whether he's on the phone with a foreign head of state. It's a high-margin, high-growth business selling into a structural tailwind (global energy transition) with $5B of contracted revenue already on the books. If you strip energy storage out as a standalone company, you'd value it at $80-100B minimum — comparable to Enphase, First Solar, and NextEra combined. Right now? The market is giving it to you for free inside a $1.3 trillion market cap. That's the hidden gem in this whole story.
Tesla's 2026 capital expenditure budget: $20 billion. That's up from $8.5 billion in 2025. A 135% increase in a single year. This is what an AI company looks like when it's scaling — and why comparing Tesla's P/E to Ford's is like comparing Nvidia's P/E to Intel's. Let me put that in perspective.
Where is all of it going? Everywhere. All at once.
- Cybercab factory buildout at Giga Texas
- Semi factory — finally moving to volume production
- Optimus manufacturing lines at Fremont
- Houston Megafactory for energy storage
- LFP battery plant (lithium iron phosphate — cheaper chemistry for mass market)
- Lithium refinery (full vertical integration from raw material to finished cell)
- AI compute infrastructure for FSD and Optimus training
Oh, and one interesting footnote: Dojo, Tesla's custom AI training supercomputer that was shelved in 2025, was reportedly restarted in early 2026. The compute demands of training FSD and Optimus neural networks simultaneously appear to have exceeded what Nvidia GPUs alone could handle cost-effectively.
Twenty billion dollars. That's not a capex budget — that's a declaration of war. Tesla is simultaneously building out capacity for autonomous vehicles, humanoid robots, utility-scale energy storage, next-gen battery cells, lithium processing, and AI training supercomputers. Either Tesla is building the future, or they're burning cash at a rate that would make WeWork blush. There is genuinely no middle ground here. For context: Ford spent ~$8B on capex in 2025. GM spent ~$9B. Tesla is outspending both of them combined, and Tesla's revenue is smaller than either one.
JPMorgan expects zero free cash flow in 2026 and 2027 because of this spending spree. Tesla has $44 billion in cash to fund it, but if multiple bets don't pay off quickly, the cash burn becomes a real vulnerability. Model S and Model X production is ending to redirect capacity — that's how all-in this bet is.
This one isn't directly about Tesla's fundamentals, but it might be the single biggest near-term catalyst for the stock price in 2026.
SpaceX has confirmed plans for an IPO targeting mid-2026, with a targeted valuation of $1.5 trillion — which would make it the largest IPO in history, surpassing Saudi Aramco. And this isn't speculation: Musk called Bloomberg's report "accurate" in December 2025.
Even bigger: in early February 2026, SpaceX completed its acquisition of xAI — the largest merger in history, creating a combined AI + aerospace entity valued at $1.25 trillion. The structure was a share exchange (1 xAI share = 0.1433 SpaceX shares), and the stated rationale is building "orbital data centers" — SpaceX launches the infrastructure, xAI's models run on it.
Here's where it gets directly relevant for TSLA shareholders:
- Musk owns 13% of Tesla and 43% of SpaceX
- Tesla has invested $2 billion in xAI, giving TSLA shareholders indirect exposure to the SpaceX ecosystem through the merger
- Musk has publicly stated he wants to give priority SpaceX IPO allocation to Tesla shareholders (though the regulatory and legal complexity of this is enormous)
If that priority access materializes — and it's a big "if" given the regulatory and legal complexity — it would create a one-time demand shock for TSLA stock. Everyone would want to own TSLA before the SpaceX IPO to get their allocation. It could also dramatically reduce Musk's need to sell TSLA shares to fund his other ventures, removing a persistent selling pressure overhang.
A SpaceX IPO is a catalyst for Musk's net worth, not necessarily for Tesla's business fundamentals. Yes, it could create a halo effect and drive TSLA sentiment higher. But some analysts worry that a SpaceX IPO gives Musk even more reasons to split his attention across too many companies — Tesla, SpaceX, xAI, X, Neuralink, The Boring Company. That's six companies for one human, even a maximally caffeinated one.
And the xAI merger — now completed — comes with baggage. Seeking Alpha's analysis called it potentially "value-destructive" for SpaceX shareholders, combining a profitable space company with a cash-hungry AI startup. xAI faces regulatory probes in Europe, Asia, and the US, and bankers are already working to trim xAI's accumulated debt post-merger. Key co-founders have departed. Don't buy TSLA purely as a SpaceX proxy. That's not an investment thesis — it's hope.
Let's talk about what the options flow is telling us, because this is where my background on the trading desk kicks in. The flow doesn't lie. People can say whatever they want on TV — the money tells you what they actually believe.
Over the past few weeks, we've tracked massive institutional LEAP accumulation on $TSLA. One alert stood out: a $14.7 million call sweep — 25,005 contracts at the $550 strike, with 73% executing above the ask. When institutional money pays above the asking price to get filled, that's not casual positioning. That's urgency. That scored 8.5 out of 10 on our unusual activity detector.
We're also tracking significant accumulation of deep ITM January 2027 LEAP calls — the kind of positioning sophisticated institutional money uses to create synthetic leveraged long exposure with defined risk.
The strike selection is what tells the real story. These are deep ITM LEAPs at strikes like $250 and $300 on a $418 stock — 25-40% below the current price. That's not a speculative gamble — that's synthetic stock with leverage. The buyer is effectively creating a leveraged long position with defined risk, which is exactly what sophisticated institutional money does when they have high conviction but want to cap their downside. Meanwhile, we're also seeing aggressive accumulation of slightly OTM $450 and $500 calls for January 2027, which represent pure directional bets on higher prices. You don't spend $15M on a single LEAP ticket unless you've done serious homework.
A January 2027 $300 call at ~$150-160 gives you roughly a $450-460 breakeven at expiration. That means you need about 8-10% upside over the next 11 months to break even. If Cybercab production ramps on schedule, robotaxi expands to 7+ cities, and energy storage has another blowout year, that target is very achievable. And if multiple catalysts hit simultaneously, the leverage on a LEAP this deep ITM could easily return 2-3x your investment.
The risk? If Tesla's growth story stalls — if robotaxi expansion hits regulatory snags, if Cybercab production gets delayed, if the auto business keeps declining — the P/E could compress violently. A stock trading at 389x earnings has a long way to fall if the growth premium evaporates. Your entire premium is at risk.
When I see millions in institutional LEAP flow concentrated at the 2027 expiry, 73% executing above the ask, my first question is always: "What do they know that I don't?" And the answer, honestly, is probably: "The same things you know — they just have the conviction and the capital to size up." Cybercab production in April. Robotaxi expanding to nine cities. Energy storage printing $12.8B with 28.7% margins. 4680 dry cathode finally cracked. The catalysts are identifiable. The timelines are known. The question isn't "what" — it's "will they execute?"
Bias check: I'm long TSLA LEAPs and my read of the flow data is naturally colored by that position. The flow is bullish, but confirmation bias is real. Do your own analysis.
I'm long TSLA and I'm biased — I told you that upfront. So let me steelman the bear case as hard as I can, because if you're going to invest at these valuations, you need to understand what could go wrong. The first 20% drawdown will shake out anyone who hasn't stress-tested their thesis.
Let's start with Europe and the auto business, because that's where bears have the strongest case right now.
Tesla's European numbers took a hit in 2025 — mostly political, partly competitive.
- Full-year 2025 EU registrations: -28%
- January 2026 alone: -44% year-over-year
- Norway: -88% (largely due to EV incentive expiration Jan 1 — not a Tesla-specific issue)
- France: -42% (just 661 cars — a 3-year low)
A Yale study found that 2025 Tesla sales would have been 67-83% higher without political backlash against Musk. That was the bottom. The boycott narrative peaked in late 2025, and while European numbers are still down year-over-year in early 2026 (legacy comparison effects), the sentiment is stabilizing. Musk has stepped back from the most controversial political commentary, and the product pipeline (Cybercab, refreshed Model Y) is shifting the conversation back to technology.
The $7,500 US EV tax credit phased out in September 2025 — which hit deliveries hard in Q4. But here's the bull read: Tesla's vehicles are now competing without subsidies and still selling. That's a stronger long-term position than relying on government handouts that can be revoked at any time.
Now let's talk about the valuation, because this is where the conversation gets genuinely uncomfortable for bulls.
389 times trailing earnings. Let that number sit in your brain for a second. The auto industry trades at 0.6x price-to-sales. Tesla trades at 16.5x. Bears will tell you that's a 27.5x premium to the auto peer group. But here's my pushback: Tesla's peer group isn't automakers. If you comp Tesla against AI infrastructure companies — Nvidia, Palantir, even Google's Waymo division — the premium looks far more rational. The question isn't whether the multiple is high. It's whether you believe the AI thesis. If you do, 389x trailing earnings on a company about to inflect is actually not that different from Nvidia at 60x earnings before the AI boom took off. If you don't believe the AI thesis, then yes, that is a valuation that demands perfection.
The competitive landscape is shifting fast. Wall Street loves comparing BYD unit volume to Tesla's — and yes, BYD shipped more pure-BEV units in 2025 (2.25M vs 1.64M). But that comparison misses the forest for the trees. Tesla generates $94.8 billion in revenue vs BYD's ~$85B, commands far higher margins per vehicle, and operates the most valuable EV software ecosystem on the planet. BYD sells cheap cars. Tesla sells AI-powered platforms that happen to have wheels. The unit volume gap says more about Tesla's pricing strategy and aging Model 3/Y lineup than about competitive positioning — especially as Cybercab and next-gen vehicles enter production.
And the headline numbers are sobering:
- Auto revenue declined: $94.8B total, down -2.93% from 2024's $97.7B — but energy storage surged +27% to $12.77B, now the most profitable division
- Auto deliveries down 8.6%: 1.64M units — transitional pain as Tesla pivots R&D spend toward robotaxi, Optimus, and energy
- Robotaxi crash rate: At least 8 crashes over ~500,000 miles in Austin (July-November 2025), roughly 1 per 55,000 miles vs. the human average of 1 per 500,000 miles — that's 9 times worse. Meanwhile, Waymo's Swiss Re study shows 88% fewer property damage claims than human drivers
That crash rate matters enormously. Waymo has 2,500 vehicles across 5 cities doing 400,000+ rides per week with dramatically better safety data. If Tesla's crash rate doesn't improve before Cybercab launches at scale, regulators could pump the brakes on the entire program. Safety isn't a feature you iterate on post-launch when you're talking about 3,000-pound vehicles carrying fare-paying passengers at highway speeds. And all Austin crash narratives in the NHTSA database are redacted — we literally can't analyze what went wrong.
Bull Case
- Robotaxi S-curve inflection late 2026
- Cybercab under $30K disrupts transport
- Energy: 30% margins, $5B deferred rev
- 4680 dry cathode = 30% cell cost cut
- Optimus $10T TAM if it works
- SpaceX IPO halo + reduced selling
- Massive institutional LEAP accumulation (73% above ask)
- SELF DRIVE Act: federal AV preemption
- AI/FSD data moat: billions of miles
Bear Case
- 389x P/E with declining revenue
- Europe headwinds (stabilizing) (-44% Jan 2026)
- BYD passed Tesla in global volume
- Robotaxi crash rate 8x human average
- Optimus: zero useful factory tasks
- $20B capex burn — cash destruction risk
- Musk attention split across 6 companies
- Political brand damage (Yale: 67-83%)
- First revenue decline ever (-2.93%)
So where does all of this leave us?
Jay's Conviction Level
I've spent two weeks pulling apart every thread of this story. Talked to three people who work at Giga Texas (off the record, obviously). Read every earnings transcript, every 10-K footnote, every patent filing related to the Cybercab and Optimus. Studied the options flow until my eyes bled. And here's my honest — but admittedly long-biased — verdict.
Jay's Verdict
You're not buying a car company at 389x earnings — and that's the whole point. Tesla is an AI company. Full-self driving is an AI problem. Optimus is an AI problem. Energy grid optimization is an AI problem. The $20B capex isn't building car factories — it's building AI infrastructure. You're buying a call option on five simultaneous S-curves — robotaxi, Optimus, energy, batteries, and the SpaceX-xAI ecosystem. If even two of them hit their inflection points, this stock is worth $1,000+. If none of them do, you're holding a $95 billion revenue company at a $1.3 trillion market cap where the auto business is shrinking. That's a $200 stock on traditional metrics. There is no middle ground.
The energy business alone justifies significant exposure. The battery breakthroughs provide the foundation for everything. Robotaxi and Cybercab are the swing factors that could take this to $2 trillion. And Optimus? That's the free lottery ticket inside the package — it's either worth zero or it's worth more than everything else combined.
Size accordingly. This is not a stock you go all-in on at 389x earnings, and it's not a stock you can afford to ignore when five S-curves are converging. It's a stock you position-size based on your conviction in the catalysts and your ability to stomach 40% drawdowns while the thesis plays out. Because those drawdowns will come. They always do with Tesla.
My personal positioning? I own TSLA LEAPs (January 2027 $350 calls, entered at ~$72/contract when TSLA was trading near $350 last summer) and I'm adding on dips to the $380-390 range. I also carry a small put spread as a hedge against a broader market selloff dragging the multiple down. Total TSLA exposure is about 8% of my portfolio. Not nothing, not everything. Danny thinks I'm being a coward. Danny also thought GME was going to $1,000 in 2021, so take his opinions with the appropriate amount of salt.
Happy Valentine's Day. May your portfolio be less volatile than your love life.
Stay sharp out there.
— Jay