Wall Street’s biggest week of the quarter kicks off tomorrow, and if you haven’t looked at bank stocks recently, you might be leaving money on the table. Goldman Sachs reports Monday morning, followed by JPMorgan Chase, Citigroup, and Wells Fargo on Tuesday, with Bank of America and Morgan Stanley rounding it out Wednesday. That’s six of the largest U.S. banks in three days — and heading into this earnings parade, every one of them is trading at a lower forward price-to-earnings multiple than they were at the end of 2025.

Here’s the kicker: earnings estimates for all six have actually gone up over that same period. That’s the classic setup value investors dream about — lower price, higher expected earnings. The gap between sentiment and fundamentals is exactly the kind of mispricing that tends to correct, loudly, during earnings season.

Why are banks cheap right now? It’s a combination of macro anxiety and the overhang from the Iran war and oil shock. Higher energy prices create inflation fears, which muddy the rate-cut narrative, which makes bank net interest margin forecasting harder. When models get harder, institutional money goes defensive. Banks got lumped in with the “avoid” pile even as their balance sheets and earnings power quietly improved. The market has been pricing in a worst-case scenario that the underlying numbers simply don’t support.

The trade here isn’t blind optimism — it’s math. Goldman Sachs (GS) is sitting near its lowest P/E relative to earnings expectations in two years. JPMorgan (JPM), which has never stopped compounding through cycles, is priced like the economy is already in recession. Bank of America (BAC) offers a dividend yield above 3% on a stock that’s been hammered by rate fears that are starting to look overblown, especially with the Fed’s posture softening.

The three banking analysts MarketWatch interviewed this week all said the same thing: the selloff is divorced from fundamentals, and long-term investors sitting out this earnings season may look back and wish they hadn’t.

One caveat worth naming: guidance matters more than results this week. Banks know their numbers; the market wants to hear what they think is coming. If CEOs strike a cautious tone on loan demand or credit quality, the “bargain” thesis gets more complicated. But if Jamie Dimon steps to the mic Tuesday and sounds anything other than apocalyptic, you could see a sharp re-rating happen fast.

This is earnings season as opportunity. The clock starts Monday.

When five major Wall Street firms downgrade your stock in the same week, you don’t get to call it a bump in the road. Nike ($NKE) just hit its lowest price in 12 years — under $43 per share — and the analysts who once championed the Swoosh are quietly putting down their pom-poms.

The numbers behind the selloff are ugly. Nike’s fiscal Q3 2026 earnings missed on both revenue and earnings, with Greater China sales continuing to slide and gross margins squeezed by tariff headwinds. The stock has fallen more than 76% from its all-time high. Goldman Sachs cut its target from $76 to $52 and went from “Buy” to “Neutral.” JPMorgan did the same — slashing its target from $86 to $52. Piper Sandler, Citi, and Bank of America all followed suit with fresh downgrades this week. The message from the Street is unusually consistent: the turnaround isn’t happening fast enough.

CEO Elliott Hill — who came out of retirement to rescue the brand he helped build over four decades — has acknowledged the slow pace himself, telling investors that “the comeback is taking longer than I would like.” That kind of candor is refreshing. But Piper Sandler flagged something more uncomfortable: nearly all of Hill’s new leadership hires are Nike lifers with 20+ years at the company. The thesis is that you can’t change a culture with the same culture. If the turnaround needs a jolt, it might need outside blood first.

What’s actually broken? Nike lost its grip on the innovation narrative. It leaned too hard on legacy franchises (Air Force 1, Dunks) while competitors like On Running, HOKA, and New Balance grabbed the performance and lifestyle categories. In China, local brands like Anta and Li-Ning ate market share during the post-COVID boom and haven’t given it back. Meanwhile, Nike’s direct-to-consumer pivot — which was supposed to protect margins — is stalling just as wholesale partners are regaining leverage.

The contrarian case is real: Nike at $42 is trading at roughly 22x forward earnings — not a distressed valuation, but not the 35x premium it commanded at the peak either. The dividend yield is sitting above 4% for the first time in years. Long-term investors who believe in brand equity, global scale, and Hill’s ability to eventually right the ship can find a real argument here. But the catalyst for a reversal isn’t visible yet, and with earnings reports this week from the big banks setting the tone for market sentiment, volatility isn’t going away.

For traders, $NKE is either a slow-burn recovery story or a value trap. The difference depends entirely on whether Hill can bring in fresh thinking before the brand loses another lap. At these prices, that question has never been more worth asking.

Forget Boeing. Forget AT&T. If you want to understand how Wall Street is pricing the SpaceX IPO — potentially the largest in history — you need to think Palantir, GE Vernova, and Vertiv. That’s the unusual comp set that major institutional investors are using to justify a $1.75 trillion valuation for Elon Musk’s rocket and satellite company, ahead of an analyst day scheduled for April 21.

The logic is deliberate, not desperate. SpaceX has no true public-market peers. Its launch business competes with Boeing’s United Launch Alliance, sure — but Boeing’s stock has been a cautionary tale, not a benchmark anyone wants to reference. Its Starlink satellite internet service does what AT&T and Verizon do, technically — but legacy telecom is saddled with aging infrastructure, saturated markets, and decade-low growth rates. SpaceX CFO Bret Johnsen told IPO bankers this week that Starlink’s total addressable market is $1.6 trillion, and that SpaceX is selling into “the largest total addressable market in human history” — a $370 billion space economy. You don’t price that like a cable company.

Instead, the smart-money framework treats SpaceX like an AI infrastructure play — a high-growth, secular-trend company with compounding moats and a founder premium baked in. The same investor logic that rewarded Palantir and Vertiv with eye-popping multiples is being applied here. SpaceX has already filed confidentially for a U.S. IPO and is reportedly targeting $75 billion in proceeds. For context, Saudi Aramco’s 2019 offering — the previous record — raised $25.6 billion.

Here’s the catch that every investor should sit with: SpaceX is notoriously secretive about its financials. Even sophisticated institutional holders admit they “can only get so much” in terms of hard numbers. That opacity is a feature in private markets, where big names signal credibility. In public markets, it tends to become a liability — fast — the first time a quarter disappoints. The bet on SpaceX is ultimately a bet on Musk’s ability to keep delivering improbable outcomes on schedule. Tesla investors know exactly how that movie plays out: thrillingly, until it doesn’t. Whether $1.75 trillion is the price of genius or the price of hype is the question traders will be debating all year.

Everyone’s debating which AI chip company will win the arms race. Meanwhile, the smart money quietly moved next door — into the boring, beautiful world of power grid infrastructure — and it’s printing returns without the volatility hangover.

Here’s the setup: U.S. data centers already consume 4.4% of the nation’s electricity. By 2028, that number could hit 12%. AI workloads are power-hungry in a way that traditional computing never was — a single GPU cluster can draw as much electricity as a small city block. The problem isn’t generating the power. It’s getting that power to where it needs to go. And that means the physical grid itself — transformers, transmission lines, substations, switchgear — is the actual bottleneck.

Institutional investors have figured this out. A quiet capital rotation is underway, away from high-multiple semiconductor bets and toward infrastructure plays with predictable cash flows and fat order backlogs. Global grid investment is projected to reach $5.8 trillion between 2026 and 2035, with the U.S. alone expecting roughly $1 trillion in grid upgrades over the next decade. That’s not a theme. That’s a structural supercycle.

So who wins? A few names keep showing up on institutional radars. Quanta Services (PWR) is the backbone contractor — it builds high-voltage transmission lines and upgrades substations, and its backlog has ballooned as utilities scramble to catch up. Eaton (ETN) makes the electrical distribution equipment that every data center and utility upgrade requires. GE Vernova (GEV), freshly spun off from General Electric, is laser-focused on grid modernization and power generation technology. Vertiv (VRT) handles critical power and cooling inside the data center walls. And Comfort Systems USA (FIX) — one of the more under-the-radar names — provides mechanical and electrical services for data center builds, and its backlog has surged to record highs.

The beauty of this trade is the risk profile. Unlike betting on which AI model wins or which chip architecture dominates, grid infrastructure benefits no matter who wins the AI race. Every hyperscaler — Microsoft, Amazon, Google, Meta — needs more power, and they all need it now. Grid connection delays in the U.S. can stretch up to five years, creating a bottleneck that turns every transmission contractor and switchgear manufacturer into a gatekeeper. That’s pricing power most tech stocks would kill for.

Electricity demand globally is growing at a 3.6% CAGR through 2030 — 50% faster than the prior decade. The grid hasn’t been expanded meaningfully since the 1980s. AI just handed it its first real stress test, and the infrastructure is creaking. The companies fixing that problem don’t need a bull market in AI hype. They need contracts — and those are already signed.

The obvious trade was always semiconductors and cloud. The smarter trade was always the wire carrying the power to run them.

For years, quantum computing was the tech sector’s most elaborate vaporware story — all promise, no paycheck. That’s starting to change. And the investors who get in before Wall Street prices it in could be sitting on the next decade’s biggest trade.

Here’s the number that should stop you in your tracks: Google’s Willow quantum chip completed a benchmark calculation in five minutes that would take the world’s fastest classical supercomputer 10 septillion years. That’s 10 followed by 24 zeros — longer than the universe has existed. Three times over. When a single chip collapses a computation like that, you’re not looking at an incremental improvement. You’re looking at a different category of machine entirely.

The market opportunity is enormous and still early. McKinsey projects quantum technologies hitting $97 billion in annual revenue by 2035. Boston Consulting Group sees $170 billion by 2040. Jefferies goes wider at $198 billion. The verticals are everywhere: pharma companies could slash drug discovery timelines from a decade to months; financial firms could run risk models at speeds that make today’s quant shops look like calculators; defense, logistics, energy optimization — there’s no major industry that doesn’t get disrupted if this delivers.

The pure-play public names are where the action is right now. IonQ (IONQ) just posted $130 million in full-year 2025 revenue — up 202% year-over-year — and is guiding for $225-245 million in 2026. D-Wave Quantum (QBTS) is already generating revenue from over 135 customers including Fortune 100 companies running real production workloads today. Not pilots. Production. Rigetti (RGTI) controls its own chip fab, which is a rare edge in this space, and its CEO openly admits true quantum advantage is “roughly three years away” — a level of candor in tech that is, paradoxically, one of the most bullish things you can hear.

On the big-tech side, IBM has the most aggressive roadmap in the industry — targeting verified quantum advantage by end of 2026 and a fault-tolerant system by 2029. Google’s Willow chip already achieved “below threshold” error correction, meaning adding qubits now reduces errors rather than increasing them. That’s the technical breakthrough the entire field has been chasing. Microsoft is betting on topological qubits, a fundamentally different architecture that most experts think is either the long-term winner or a $10 billion science experiment.

The honest take: this isn’t a 2026 trade, it’s a 2027-2030 story for most of these names. The pure-plays are burning cash and the timelines are real. But the commercial traction is showing up in the numbers now, and the next 18 months — as IBM and Google push toward claimed quantum advantage — could be the catalyst window. If you’re building a position, the picks-and-shovels angle (quantum hardware components, error correction software) is less sexy but far more predictable than betting the whole stack on one pure-play. Either way, the era of quantum as a punchline is over.