*** HOT LIST *** (10)

Quick honesty note before the numbers: this is our real life, not financial advice. Every figure below comes from two months of our own bank exports — June 2026 (a full month) and July 2026 (through the 28th, so a few late-month charges are still missing). It’s one household account, and I’ve rounded our income. Tax rates and fees change; I’ve flagged the ones worth verifying yourself.

We don’t live in Seattle

Every “cost of living in Seattle” article you’ve read was written about a neighborhood we can’t afford. Capitol Hill, Ballard, a Craftsman with a view — sure, if you want to hand your whole paycheck to a landlord.

We live south of the city, in the Auburn area. It’s the part of the map where a software salary and a mortgage can actually coexist, where families quietly move when the “Seattle dream” runs into the Seattle price tag. Longer commute, smaller zip-code clout, an actual yard. That trade is the whole story, and nobody writes it down with real numbers.

So I did. I exported two months of transactions and I’m going to walk you through the big rocks — no hype, just math.

The mortgage that eats first

Everything starts here: $4,347 a month to house mortgage, same to the penny both months.

That’s the number that makes or breaks a household budget down here, and it’s the honest reason we’re in Auburn and not King County’s trendier corners. On roughly $8,000/month coming into the account, the mortgage alone is more than half of it before we’ve bought a single grocery. When people ask why we didn’t stretch for something closer in, this is the answer — a bigger number here would’ve owned us instead of the other way around.

(If you want to see what a payment does to your own budget, I lean on our mortgage calculator constantly — it’s the tool I wish I’d used before we bought, not after.)

The bills nobody warns transplants about

Here’s the recurring utility stack, and a couple of these surprised me when we moved:

• Puget Sound Energy (electric + gas): $236–$254/month. One provider for both, and in winter it climbs.
• Two separate city utility bills. We sit right on a city line, so we get billed by two municipalities — one runs about $116/month, the other about $65. Water, sewer, and the stuff you never think about until you own the pipes.
• Comcast (internet): $50/month, and I fight to keep it there.

Call the recurring core about $466/month. But utilities have a nasty habit of ambushing you: in June a garbage bill of about $116 and a $275 insurance premium landed on top, and suddenly the “boring” category wasn’t boring. That’s the real lesson — the monthly number lies a little, because the quarterly and annual stuff hides inside it.

Feeding four humans: about $1,000 a month

Groceries were $956 in June and $1,016 in July — call it a grand a month, and no, I’m not proud of it, but I’m not going to pretend it’s $500 either.

The receipts tell you exactly who we are: Costco for the big hauls, then H Mart, Uwajimaya, and Trader Joe’s for everything Costco doesn’t do.

We know we could shave this down. We mostly don’t. When you both work and there are small kids, some of that grocery bill is buying back time, and I’ve made peace with that trade even though the spreadsheet side of my brain twitches.

The cars: the mortgage’s quiet sidekick

One car loan: $436/month, steady. That part’s simple.

The part that isn’t simple — and the one that gets every Washington transplant — is the annual tab renewal. In June, the WA Department of Licensing took $752 in one hit for registration. That’s not a monthly line you can plan around; it’s a once-a-year gut-punch that shows up and wrecks whatever cushion you thought you had. Nobody tells you about it before you move here. Now someone has.

Add gas — $220 in June, mostly Costco Gas, with July still filling in — and transportation is the second-biggest category in our life after the roof.

(Thinking about a car payment? Run it through the car-payment calculator before the dealer runs it through you.)

The “savings” line that’s actually insurance — and why I keep it that way

Here’s where a finance blogger is supposed to flinch, so let me get ahead of it: the biggest thing I’d call “savings” in these two months isn’t a brokerage deposit. It’s $594/month to New York Life — whole life insurance.

I know the internet’s verdict on whole life. “Buy term, invest the difference” is practically a commandment in personal finance, and honestly, the pure-math case for it is strong — a purist would tell me to swap this for cheap term and dump the rest into an index fund. Reasonable people land there, and I won’t pretend they’re wrong on the returns.

But I count this as savings on purpose, and here’s my reasoning: it does two jobs at once. There’s cash value building inside it that I can actually borrow against if we’re ever underwater — a floor under the family that a term policy doesn’t give me. And if I’m gone, it covers the people I’d be leaving behind.

(If you want to read more about life insurance? Check out this article)

Meanwhile the “real” investing was thin and honest: $600 per month That’s the confession — the guy who writes about options trading put more into a life-insurance premium than into the market these two months. I’d rather tell you that than perform a portfolio I didn’t fund.

The Washington tax twist (the part that ties back to my trading)

The bumper-sticker version of moving to Washington is no state income tax, and that part’s real — my salary and my wife’s owe the state nothing on the income line. That’s a genuine advantage, especially against California.

But the state gets its money elsewhere, and you feel it at the register: Auburn’s combined sales tax is about 10.4% as of 2026 — among the highest in the state. (Verify the current rate for your exact address before quoting it; it drifts.) Every non-grocery purchase quietly pays that. One kind mercy: groceries are exempt from Washington sales tax, which softens that thousand-dollar food bill a little.

And because I trade on the side, people ask about the Washington capital gains tax. Yes, it exists — 7% on long-term gains, but only on gains above roughly $260,000 in a single year (the exact threshold is inflation-adjusted and worth checking — sources disagree on the 2026 figure). For a side-trader doing cash-secured puts on a software salary, it’s not in the picture. It’s a high-net-worth tax dressed up as something scarier. Worth knowing exists; not worth losing sleep over unless you’re selling a company.

Adding it up — with the caveats up front

The non-negotiable core — mortgage, car, recurring utilities, groceries, gas, and the insurance-savings line — runs right around $7,000 a month. On ~$8,000 of household income into this account, that leaves maybe a thousand dollars for dining out, the kids’ stuff, personal care, and everything else life invoices you for. In a month where a $752 tab bill or a $275 insurance premium lands, that cushion is just gone.

Now the honesty section, because a budget without caveats is a lie:

• This is very close to AVG per month.
• It’s one household account. If your picture of a family’s finances requires every last dollar across every account, this isn’t that — it’s the shared-bills reality, which is the part most people actually want to compare against.
• The income number is rounded. I’m showing you every expense in real dollars; I’m keeping the paycheck fuzzy on purpose.

So is south-of-Seattle “affordable”? Compared to a house closer in, absolutely — that mortgage would be a different animal ten miles north. Compared to most of the country, we’re paying a Seattle-area premium for a not-Seattle zip code. That’s the honest trade: we bought breathing room with a commute and a longer drive to the fun stuff, and for a family at this stage, I’d make the deal again.

If you’re eyeing the move down here, budget for the tab renewal, the two city bills, and a grocery run that costs more than you think. The rest, you can live with.

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This is our real household, not a recommendation for yours — and definitely not financial advice. Numbers are pulled from two months of our own transactions, income rounded, single account. Tax rates, fees, and offers change; verify anything time-sensitive before you act on it. If whole life vs. term is your question, that’s a real debate with smart people on both sides — do your own math with your own family in the picture.

Every few weeks the AI trade throws out a phrase that makes old finance people flinch, and lately the phrase is vendor financing. If you’ve been around markets long enough — or you’ve read enough dot-com post-mortems — that phrase comes with a scar attached, and the scar is named Cisco.

So let’s do the Hebojago thing: no hype, just math. What is vendor financing, what actually happened to Cisco in 2000, what is Nvidia doing with OpenAI right now, and are they the same movie? Short version: the shape rhymes, the scale is bananas, and the details are different in ways that matter in both directions.

One honest note up front: a lot of the biggest 2026 numbers in this story are reported, not confirmed. I’ve flagged every one. Nvidia and OpenAI have not confirmed the headline figures, and people close to the talks say the deal could still fall apart. Treat the rumored numbers as rumored.

What “vendor financing” even means

Strip out the jargon: vendor financing is when the company selling you something also lends you the money to buy it.

That’s it. A chip company helps its customer pay for the chips. A network-gear company floats a loan to the startup buying routers. On the way up it looks like genius — your sales explode, because you’ve removed the one thing stopping customers from buying (they’re broke). The catch is that you’ve quietly turned a chunk of your “revenue” into loans you’re hoping get paid back.

The uncomfortable question is always the same: are people actually demanding your product, or are they buying it with your own money? If it’s the second one, your revenue growth and the customer’s “demand” are the same dollar, counted twice.

Cisco, 2000: how this ended last time

Rewind to the peak of the dot-com and telecom boom. Equipment makers — Cisco, Lucent, Nortel — were extending billions in loans to cash-strapped internet providers and “CLECs” (competitive local phone carriers) so those startups could buy networking gear. Per the historical record: Lucent committed around $8.1B in vendor financing, Nortel extended roughly $3.1B, and Cisco promised about $2.4B in customer loans. By 2000, an estimated ~10% of Cisco’s ~$20B in revenue was tied to this kind of financing.

For a while it was magic. Cisco’s market cap hit roughly $450 billion in March 2000, briefly making it the most valuable company on earth, at something like 165x earnings.

Then the customers — companies with big dreams and no profits — couldn’t generate enough revenue to pay the loans back. Between 2000 and 2003, dozens of CLECs went bankrupt (Covad, NorthPoint, Focal, and 40-plus others). Cisco wrote off close to $900 million in bad customer loans by 2001. The stock fell more than 89% from its peak — and here’s the part that should stick with you: even growing earnings many times over in the two decades since, Cisco’s stock spent an astonishingly long time never getting back to its 2000 high.

The lesson wasn’t “vendor financing is fraud.” Most of it wasn’t. The lesson was: when you finance your own demand, you don’t find out it was fake until the loans come due.

Nvidia + OpenAI, 2025–2026: the same skeleton, way more zeros

Here’s the timeline, cleaned up:

• September 2025 — Nvidia and OpenAI announce a letter of intent for Nvidia to invest up to $100 billion in OpenAI as it deploys 10 gigawatts of Nvidia systems. Analysts immediately call it “circular.” (Bernstein’s Stacy Rasgon flagged it the day it dropped.)
• February 2026 — That $100B number quietly collapses. Instead, Nvidia takes a roughly $30 billion equity stake in OpenAI’s funding round (reported valuation in the $850B range). CEO Jensen Huang later reframes the original $100B as “never a commitment.”
• July 2026 (reported, not confirmed) — Nvidia is said to be in talks to guarantee ~$250 billion in data-center lease payments for a giant 10-GW OpenAI site in Ohio (developed by SoftBank’s SB Energy), plus separately finance up to ~$350 billion in chip purchases tied to the same site. Total project cost reportedly north of $500B — which would make it the largest data center ever proposed.

The structure is the tell. That Ohio backstop reportedly lets the developer borrow against Nvidia’s balance sheet rather than OpenAI’s — because OpenAI still doesn’t carry an investment-grade credit rating. So Nvidia’s financial strength becomes the collateral that lets a customer buy… Nvidia chips.

That’s the circle. Money leaves Nvidia (as an investment, a guarantee, or a backstop), and comes back as GPU revenue. Nvidia has consistently said it does not contractually require partners to spend the money on its chips — worth stating plainly and fairly. But critics like Michael Burry aren’t buying the spirit of it; Burry summed up the loop as “around and around we go.”

The differences that actually matter

This is where lazy takes go one of two ways — “it’s exactly Cisco, sell everything” or “it’s totally different, nothing to see here.” Both are wrong. Here’s the honest side-by-side.

1. Scale is not comparable — it’s a different planet. Cisco committed ~$2.4B against ~$20B of revenue. The Nvidia figures being floated ($250B guarantee, $350B chip financing) are two orders of magnitude larger. And here’s the number almost nobody quotes: Nvidia’s own Q1 FY2027 10-Q caps its total lease-guarantee exposure at just $3.5 billion. A $250B commitment would be roughly 71x its currently disclosed guarantee book. That gap is either “the filings will catch up to the ambition” or “the ambition is mostly a press release.” I genuinely don’t know which yet — and neither does anyone tweeting confidently about it.

2. The customer is not a no-name CLEC. Cisco lent to startups with dreams and no revenue. OpenAI reportedly generates around $2 billion a month. That’s real. That’s the strongest point for the bulls. The asterisk: OpenAI also runs enormous operating losses, and $2B/month of revenue does not cover a $500B+ buildout. Real revenue, still-negative math.

3. Cisco mostly lent. Nvidia has shape-shifted. Watch how Nvidia’s exposure keeps changing costume — equity stake, then loan guarantee, then lease backstop. Each version moves the risk around without removing it. That’s more sophisticated than Cisco’s straight customer loans. Whether “more sophisticated” means “safer” or just “harder to see on the balance sheet” is the whole debate.

4. Nvidia is absurdly healthy; Cisco’s customers weren’t the only fragile ones. Nvidia runs monster margins and a ~$5T-ish market cap. It can eat losses Cisco couldn’t dream of. The counterpoint: Cisco was also healthy relative to its customers in 1999, and still got dragged down 89% when the customers cracked. Being the strong one in a circle doesn’t save you if the circle breaks.

5. The bull’s ace: the infrastructure might be durable. The dot-com telecom bust laid a trillion dollars of “wasted” fiber that later became the literal backbone of the cloud boom. If AI compute turns out to be similarly durable and useful, a shakeout in who owns it doesn’t mean the stuff was worthless. Bubbles can vaporize equity and still leave useful pipe in the ground.

My take — I’m long, and I’m not going to pretend I’m not

Full disclosure, because that’s the whole point of this blog: I hold NVDA, and it’s about 50% of my stock portfolio. That’s a big, concentrated bet and I’m not going to dress it up as anything else — one name, half the book. If you’ve read my other stuff, you know where I land: I don’t think AI is a fad, I think it’s the biggest platform shift of my working life, and I’d rather own the company selling the shovels than try to guess which miner strikes gold. So my plan is simple and I’ll say it out loud — I keep buying NVDA on dips, with money I can actually afford to invest, whenever I’ve got cash to put to work.

So does the “circular financing” story change that? Honestly, no — but it sharpened what I’m watching. Here’s the distinction I keep coming back to: “circular financing” is a real risk, not a reason to panic-sell. It’s the bear case that could actually bite, which is exactly why I’d rather understand it than flinch at the word. Cisco taught me the word isn’t the danger — the loans coming due is the danger. So I watch the tells below, not the headlines.

Now the catch, and I have to say it to myself as much as to you, because it’s the same lesson as my leveraged-ETF panic piece: 50% in one stock is aggressive, and my conviction doesn’t make it diversified. If the AI trade takes a Cisco-style haircut, I take it too — no thesis talks you out of an 89% chart. I’m comfortable with that risk with my money and my timeline. You might not be, and you shouldn’t inherit my risk tolerance just because you like my writing. “Buy the dip” is a great slogan and a terrible reason to overextend — I only do it with money I won’t need, never borrowed, never a dip I feel like I have to catch. Know what you actually own and why, so a scary headline doesn’t get to make the decision for you.

What I’m actually watching (so I don’t have to guess)

Three concrete tells, in plain English:

1. Does the $250B show up in a filing? Rumors are rumors until they’re in a 10-Q or an 8-K. If the disclosed guarantee book jumps from $3.5B toward the reported figure, the story got real. If it doesn’t, a lot of this was vibes.
2. Can OpenAI (and peers) start paying with their own cash? The tell for “real demand” is customers funding purchases from operating cash flow, not from vendor-backed debt. Watch the mix.
3. Does anyone break the circle first? In 2000, it only took a few CLEC bankruptcies to expose the whole structure. Today’s circle has more players (Microsoft, AMD, SoftBank, CoreWeave, and more). More nodes = more resilient, or more places for a crack to start. Both are true until one wins.

None of this tells you what the stock does next quarter. It tells you what to watch so you’re reacting to the balance sheet instead of the headline.

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Not financial advice — I’m a software developer who trades on the side, not a professional analyst. Full disclosure: I’m long NVDA and it’s a large, concentrated position (see my take above), so read my read with that bias in mind. The 2026 Nvidia–OpenAI figures ($250B guarantee, $350B chip financing, $500B+ project) are reported and unconfirmed as of publication and the deal may change or collapse; verify current terms before acting on anything. Historical Cisco/telecom figures are drawn from the public record and widely cited post-mortems. This is my read on public information, not a recommendation to buy or sell anything.

Hebojago is my journey to financial freedom, recorded live — real experiments, real numbers, wins and mistakes. Follow along here.

Not financial advice — this is my own morning prep, shared. Numbers are as of Monday’s close / this morning ET and move fast. Verify before acting.

The one-minute read

The FOMC’s two-day meeting begins today with a decision due tomorrow — markets lean toward a hold at 3.50%–3.75%, but odds have shifted noticeably in recent days. Meanwhile, Nvidia’s ~3.5% drop dragged the Nasdaq lower Monday, and Microsoft, Meta, Apple, and Amazon all report earnings this week, making it a pivotal stretch for the AI trade.

Overnight & pre-market

• S&P 500: 7,413.18 (+0.02%)
• Nasdaq Composite: 24,932.08 (−0.18%)
• Dow Jones: 52,210.08 (+0.51%)
• 10-yr Treasury yield: ~4.64%
• Fed Funds target range: 3.50%–3.75%
• 30-yr mortgage avg: 6.58%, trending up (from 6.55% last week)
• 15-yr mortgage avg: 5.96%, trending up (from 5.93% last week)

Movers worth noting

• NVDA −3.46% — semiconductor weakness and questions over AI infrastructure spending and valuations, amid reports of a large financing guarantee tied to OpenAI’s Ohio data center and a $500B SK Group deal.
• SAP +7.4% — extended gains after beating earnings expectations.
• RTX +2.61% — strong Q2 earnings.

Today’s economic calendar (ET)

• FOMC two-day meeting begins today (decision tomorrow, July 29, 2:00 p.m. ET)
• On the radar: FOMC rate decision Wed 7/29; Q2 GDP advance estimate and June PCE inflation Thu 7/30 — the Fed’s preferred inflation gauge lands the day after the decision.

On my watchlist

Whether the Fed signals a hold-with-optionality tomorrow, and whether Big Tech earnings (MSFT, META, AAPL, AMZN) validate elevated AI capex — Nvidia’s Monday slide suggests the market is getting pickier about AI spending.

Bottom line

Cautiously neutral into the Fed decision and mega-cap earnings. A hawkish surprise Wednesday or weak capex guidance from Big Tech would pressure the AI-heavy indexes; a hold plus solid earnings likely keeps the risk-on tone intact. Mortgage rates ticking up two straight weeks is worth watching if the 10-year stays near 4.64%.

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Numbers above were accurate as of publish time and are illustrative of my own process, not a recommendation. Markets involve real risk.

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Sources: Washington Post · Freddie Mac PMMS · Trading Economics — 10-yr yield · FRED — Fed Funds Target · Kiplinger — This Week’s Economic Calendar · Federal Reserve — FOMC Calendar · Motley Fool — Market July 27 · TradingKey — NVDA · EconCurrents — July 27 Market Close

Not financial advice — this is my own morning prep, shared. Numbers are as of Friday’s close ET and move fast. Verify before acting.

The one-minute read

It’s Fed week: the FOMC meets Tuesday–Wednesday with a decision at 2 PM ET Wednesday, and markets expect a hold at 3.50%–3.75%. Stocks closed Friday mixed — tech sold off on AI-spending worries while the Dow rose — so the tone this week hinges on the Fed’s language and the next batch of megacap earnings.

Overnight & pre-market

• S&P 500: 7,411.98 (+0.05%)
• Nasdaq Composite: 24,975.82 (−0.64%)
• Dow Jones: 51,947.25 (+0.46%)
• 10-yr Treasury yield: 4.69%
• Fed Funds target range: 3.50%–3.75%
• 30-yr mortgage avg: 6.58%, trending up (from 6.55% last week)
• 15-yr mortgage avg: 5.96%, trending up (from 5.93% last week)

Movers worth noting

• INTC −7.9% — Fell despite beating Q2 estimates ($0.42 EPS vs. $0.21 expected) and raising its profit forecast, caught in the broader AI-capex selloff.
• AAPL +3.5% — Jumped Friday, lifting the Dow ahead of megacap earnings week.
• MNST — Announced a 2-for-1 stock split (its sixth since 2005), effective August 11.

Today’s economic calendar (ET)

• 8:30 AM — Durable goods orders (June, advance report)
• On the radar: FOMC decision Wednesday, July 29 at 2 PM ET (hold expected; watch the statement and presser for rate-path signals). Next jobs report Friday, August 7; next CPI mid-August.

On my watchlist

Whether the AI-capex anxiety that hit chips and megacap tech Friday extends into earnings week, and whether the 10-year holds near 4.69% into Wednesday’s Fed decision — mortgage rates are already at their highest since August 2025.

Bottom line

Cautiously neutral into the Fed. A hold is priced in, so the risk is in the messaging: hawkish inflation language (with Middle East tension pushing oil and rates) would pressure the tech recovery, while a dovish tilt plus solid megacap earnings could stabilize the Nasdaq. Durable goods this morning is a minor input; Wednesday is the main event.

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Numbers above were accurate as of publish time and are illustrative of my own process, not a recommendation. Markets involve real risk.

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Sources: Yahoo Finance – Stock market today, July 24 · Yahoo Finance – Stock Market News for July 27 · Freddie Mac PMMS – Mortgage Rates Average 6.58% · Advisor Perspectives – Treasury Yields Snapshot, July 24 · Federal Reserve – July 2026 events · Kiplinger – This Week’s Economic Calendar (July 27–31) · Census – Advance Durable Goods Report · CNBC – Stock market news, July 24

My mom has never bought a single share of stock in her life. And when I asked her why, her answer was basically a highlight reel of the scariest headlines she’d ever seen: people losing everything, people going bankrupt, people who “played the stock market” and ended up worse than broke.

The line that stuck with me most: she genuinely believed you could lose more money than you put in. Like, invest $1,000 and somehow end up owing $3,000.

And here’s the thing — she’s not dumb, and she’s not alone. That fear is incredibly common. It’s just aimed at the wrong target. So let me do what I always try to do here: no hype, just math.

First, the big one: you (almost certainly) can’t lose more than you invest

When you buy a normal share of a stock — or a fund like an S&P 500 ETF — with your own cash, the absolute worst case is that it goes to zero. You lose 100% of what you put in. That’s genuinely bad! But it’s not “you now owe the broker money.” The floor is your investment. Full stop.

What my mom was describing — losing more than you invested — is a real thing, but it’s a different, more dangerous game:

• Margin — borrowing money from your broker to buy more stock than you can afford. Now you can owe.
• Options and futures written the risky way — selling naked calls, that kind of thing.
• Leverage in general — anything where you’re playing with borrowed money.

That’s the world where the horror stories come from. And here’s the honest part: I do trade options (cash-secured puts, mostly) and I’ve held leveraged positions, so I’m not going to pretend that corner of the market doesn’t exist. But that’s the deep end of the pool. Buying VOO with your own money is the shallow end, and the shallow end does not have an “owe money” trap door.

Nobody explained that distinction to my mom. The news definitely didn’t.

The news only shows you the car crashes

Think about how financial media works. “Retiree calmly bought an index fund and it slowly went up over 20 years” is not a headline. It’s not a story. Nobody clicks it.

“Trader loses life savings on meme stock” — that’s a story. So is the bankruptcy, the crypto blowup, the guy who bet everything on options and lost. The extreme cases get 100% of the airtime, which quietly teaches people that the extreme case is investing.

It’s survivorship bias in reverse. You’re only shown the disasters, so you conclude the whole thing is a disaster. Meanwhile the boring, math-y version that actually builds most people’s retirement never makes the screen.

The risk nobody puts on the news: doing nothing

Here’s the part that flips the whole fear on its head.

Everyone treats cash in the bank as the “safe” choice. And in the short term, sure — the number in your account doesn’t drop. But there’s a silent leak: inflation.

As of the last reading, inflation (CPI) was running about 3.5% over the past year. That means the same groceries, gas, and rent cost ~3.5% more than they did a year ago. Your dollar buys less. Every year. Guaranteed.

So the real question isn’t “is investing risky?” It’s “is my money keeping up with inflation, or quietly bleeding buying power?” And for a lot of people, the honest answer is: it’s bleeding.

”But the bank is safe, right?” — yes and no

I want to be fair here, because “the bank” isn’t one thing.

If your money is sitting in a big brick-and-mortar bank’s savings account, you’re probably earning something like 0.01% APY. That is not a typo. On the big national banks, $1,000 parked for a year earns you about a dime. Against 3.5% inflation, that’s a straight-up loss of buying power — you’re paying the bank for the privilege of watching your money shrink.

But — and I’d be a hypocrite not to say this — there’s a better version of “the bank”: a high-yield savings account (HYSA). Right now the best ones pay around 4% APY. That actually beats the current 3.5% inflation. So if you’re sitting on an emergency fund or cash you’ll need soon, moving it from a 0.01% account to a ~4% HYSA is one of the easiest wins in personal finance, and I’d tell anyone to do that first.

So why invest at all, if a HYSA beats inflation today? Two reasons:

1. HYSA rates are temporary. They float with the Fed. A few years ago they were near zero, and they’ll come back down. Inflation doesn’t ask permission.
2. Beating inflation by a hair isn’t building wealth. It’s treading water. Growing your money — actually multiplying it — is a different job, and that’s the job stocks have historically done.

So what does “investing” actually look like for a normal person?

Not options. Not day-trading. Not the stuff on the news. For most people it’s shockingly boring:

Buy a low-cost fund that owns a slice of the 500 biggest U.S. companies — something like VOO — and just… hold it. When you own VOO, you’re not betting on one company surviving. You own a piece of all of them at once. For that fund to go to zero, all 500 of America’s largest companies would have to be worth nothing simultaneously — at which point, honestly, we’d all have much bigger problems than our brokerage balance.

How’s it done? VOO is up about +8.95% so far in 2026 (through late July, dividends reinvested). That’s comfortably ahead of the 3.5% inflation rate — so this year, holding it protected your buying power and grew it.

Zoom out and the long-run number people usually cite for the S&P 500 is roughly 10% per year on average (nominal). That “average” is doing a lot of work, though, which brings me to the caveats — because there’s always a catch.

The honest downsides (there’s always a catch)

I’m not here to sell you a fantasy. Investing in stocks is genuinely risky, and anyone who tells you otherwise is selling something:

• It does not go up in a straight line. VOO was down about 18% in 2022. If you’d put money in at the start of that year, you’d have watched a chunk of it vanish on paper for months. Even right now, VOO is sitting a couple percent below its high from earlier this summer. Green years and red years are both part of the deal.
• “Average 10%” is not “10% every year.” Some years are +25%, some are −18%. The average only shows up if you stay in through the ugly ones — which is exactly when panic makes people sell.
• Past performance doesn’t guarantee anything. Everything above is history. History rhymes; it doesn’t promise.
• You can absolutely lose money, especially over short windows. The one thing that has historically bailed people out is time — long holding periods have smoothed out most of the rough patches. Money you need next year should not be in stocks.

The point isn’t “stocks are safe.” It’s that there’s a risk on both sides — the visible risk of investing, and the invisible risk of letting cash rot. Well-informed people don’t avoid risk; they pick which risk they’re taking on purpose.

How I’d actually start (small and boring on purpose)

If I were walking my mom into this, it wouldn’t be “put your savings in the market tomorrow.” It’d be:

1. Emergency fund first, in a ~4% HYSA. Not invested. Untouchable.
2. Then a small, automatic, boring amount into a broad index fund every month — an amount that wouldn’t ruin your week if it dropped 20%.
3. Don’t watch it daily. Daily watching is how you turn a 30-year plan into a 30-day panic.

Related reading on Hebojago: (https://hebojago.com/post/stay-calm-market-crash/).

Let’s make $millions$ (the unsexy way)

Okay, the fun part. Here’s why I get genuinely excited about this instead of scared:

Put $500 a month into a broad index fund and let it compound at that long-run ~10% average, and after 30 years you’d have somewhere around $1 million. (Illustrative — it assumes a steady historical average that real markets will never actually deliver in a straight line. Reality will be lumpier. But the ballpark is real.)

That’s not a lottery ticket. It’s not a hot stock tip. It’s boring money, added consistently, left alone, doing the one thing cash in a near-zero account can never do: outrunning inflation and multiplying.

My mom spent decades believing investing was the risky choice. The quiet truth is that not investing — letting inflation nibble her savings year after year — was its own kind of risk the whole time. Nobody put that on the news.

So consider this your invitation. Learn the difference between the shallow end and the deep end. Start small. Stay boring. Let’s go make some $millions$ — slowly, on purpose, with the math on our side.

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Not financial advice — I’m a software developer who invests and trades on the side, not a licensed advisor, and this is my experience and my math, not a recommendation for your situation. Returns, inflation, and savings rates cited here (VOO +8.95% YTD, CPI 3.5%, ~4% HYSA, ~0.01% big-bank savings) were accurate as of late July 2026 and change constantly — verify current numbers before you act on them. All future/compounding figures are illustrative; past performance doesn’t guarantee future results, and you can lose money investing.

Hebojago is my journey to financial freedom, recorded live — real experiments, real numbers, wins and mistakes. Follow along here.

Not financial advice — this is my own morning prep, shared. Numbers are as of Wednesday’s close / this morning ET and move fast. Verify before acting.

The one-minute read

Big Tech earnings are the story: Alphabet grew revenue 24% (cloud +81%) but flagged $45B in quarterly capex, while Tesla missed on EPS despite 26% revenue growth. With oil up ~3.4% to a one-month high and the 10-yr yield at a two-month high, markets head into next week’s FOMC meeting (July 28–29) leaning cautious.

Overnight & pre-market

• S&P 500: 7,498.96 (-0.14%)
• Nasdaq Composite: 25,690.90 (-0.57%)
• Dow Jones: 52,218.58 (-0.01%)
• 10-yr Treasury yield: ~4.67% (two-month high)
• Fed Funds target range: 3.50%–3.75%
• 30-yr mortgage avg: 6.58%, trending up
• 15-yr mortgage avg: 5.93%, trending up

Movers worth noting

• TSLA — Q2 revenue rose 26% but adjusted EPS came in well below expectations, pressuring shares after hours.
• GOOGL — Sales grew 24% with cloud revenue up 81%, but free cash flow turned negative on $45B in quarterly capex.
• SMCI +17% (pre-market) — Reported over $60B in new Q4 orders and plans to build an AI data center with SpaceX.

Today’s economic calendar (ET)

• Initial jobless claims, 8:30 a.m. (last reading was the lowest since mid-May); existing home sales also due
• On the radar: FOMC meeting July 28–29 (decision Wed 2:00 p.m., ~83% odds of a hold per CME FedWatch); jobs report Fri, Aug 7; CPI Wed, Aug 12

On my watchlist

Whether the Tesla/Alphabet reaction spills into the rest of Mag 7 earnings, and whether oil’s push toward $95 Brent keeps yields elevated — the 10-yr at 4.67% and mortgage rates grinding up to 6.58% are quietly tightening conditions.

Bottom line

Cautious. Rising oil, rising yields, and a soft start to Big Tech earnings argue against chasing risk into next week’s Fed meeting. Strong prints from the remaining mega-cap reporters or a dovish-leaning FOMC statement would change the tone; an oil spike above $95 sustained would worsen it.

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Numbers above were accurate as of publish time and are illustrative of my own process, not a recommendation. Markets involve real risk.

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Sources: Yahoo Finance · CNBC · Freddie Mac PMMS · Money.com mortgage rates · GlobeNewswire (Freddie Mac) · Fed H.15 · CME FedWatch via centralbank.watch · FedRateCalc FOMC schedule · Kiplinger economic calendar · Motley Fool

In 2015 I built a desktop PC from parts. Not a pre-built — I bought every component separately, spread them across the dining table, and assembled the thing myself. Motherboard, PSU, RAM, case fans, cable management I was weirdly proud of.

There was exactly one part I wasn’t willing to compromise on: the graphics card. It had to be Nvidia.

I’d used their cards. I knew the drivers. I knew what the frame rates felt like. The idea of building a machine around somebody else’s GPU just felt wrong to me. That wasn’t a financial decision — it was a taste decision, the same way some people won’t buy a non-Toyota.

Around that same time I was starting to poke at the stock market. I was a software developer with a brokerage account and more curiosity than knowledge. And at some point it occurred to me that the company making the one part I refused to substitute was, itself, publicly traded.

NVDA. So I bought some.

I want to be honest about what my research process was: I liked the product. That was it. No DCF model, no channel checks, no reading the 10-K. Back then, if you weren’t a PC gamer, you had probably never heard of Nvidia. This was years before “AI” meant anything to a normal person.

Then came the crypto mining boom, which made GPUs briefly impossible to buy. Then — the one that actually mattered — AI infrastructure. And now Nvidia is the most valuable company in the world.

The numbers, because no hype, just math

All of these are split-adjusted, which matters a lot here. Nvidia split 4-for-1 in 2021 and 10-for-1 in 2024, so one share from 2015 is 40 shares today.

• Dec 31, 2015 close: $0.80 split-adjusted (the raw price that day was $32.96)
• July 2026: around $205
• That’s roughly 250x from the end of 2015

Put a number on it: $1,000 invested at the end of 2015 would be somewhere around $250,000 today. That figure is illustrative — it ignores taxes, fees, and the fact that almost nobody actually buys at year-end close and never touches it again. But the order of magnitude is real.

I did not have $1,000 in NVDA in 2015. I bought a couple hundred dollars’ worth, because I wasn’t making much money back then and a couple hundred dollars was what I could spare.

A few years later I got married, and my wife and I wanted to buy a home. So I did the thing every investing article tells you never to do: I sold my entire stock portfolio. All of it, Nvidia included.

I don’t regret it even a little. Without the Nvidia gain, we couldn’t have covered the down payment on our first house. That’s what the position actually turned into — not a screenshot of a 250x, but a roof.

Right after the house closed, I started over from zero. Every time I had extra cash, I put it back into Nvidia. My portfolio still isn’t big, but NVDA is now more than 50% of it.

The principle, stated plainly

Here’s the rule I took away from it, and I still use it:

If you use a product, you genuinely can’t live without it, and the company that makes it is publicly traded — buy the stock and hold it for a long time. In the short term the price will do whatever it wants. In the long term, if the product is good and enough other people also can’t live without it, the company eventually pays you back.

This isn’t original to me. Peter Lynch built a career on some version of it — “invest in what you know” — and it’s folk wisdom on every investing forum on the internet. But most people quote the slogan and skip the part where Lynch said the product is where your research starts, not where it ends.

Why it works at all

The reason this isn’t just feel-good nonsense: as a customer, you see demand before it shows up in an earnings report.

Wall Street analysts read filings. You were standing in Micro Center watching the Nvidia shelf get cleared out while the AMD cards sat there. That’s real information, and you get it months before it becomes a revenue line.

You also, crucially, understand why people pay up. I didn’t need a research note to explain Nvidia’s moat to me — I was living it. CUDA, drivers that worked, an ecosystem everything was built around. I couldn’t have told you that would matter for AI training clusters. But I knew the lock-in was real, because I was locked in.

That’s the honest version of the edge: you’re not smarter than the market about the numbers. You’re earlier than the market about the demand.

Where this principle breaks — read this part twice

If I published the story above and stopped there, I’d be doing the thing I started this blog specifically to not do. So here are the four ways “buy what you love” goes wrong, and every one of them has bodies on the floor.

1. Survivorship bias, and it’s massive. I’m telling you the Nvidia story because it worked. I’m not telling you about every product I loved whose stock went nowhere. Think about the products people were obsessed with over the last decade: GoPro, Peloton, Beyond Meat, Under Armour, Fitbit. Beloved products. Devoted users. Shareholders got destroyed. Nobody writes the blog post about those, which is exactly why the strategy sounds better than it is.

2. A great product isn’t a great business. Loving something tells you it’s good. It tells you nothing about margins, competition, capital intensity, or whether the company can stop a competitor from doing the same thing cheaper next year. Plenty of wonderful products are made by companies that can’t make money on them.

3. A great business isn’t a good price. This is the one that gets people hurt today. Whatever you love in 2026, everyone else has probably already noticed. Buying a fantastic company at a ridiculous valuation is a great way to be right about the business and still lose money for five years.

4. The product you loved might not be the product that pays. This is the uncomfortable one for my own story. I bought Nvidia because of GeForce graphics cards. GeForce is not what made Nvidia a $4-trillion-plus company — data center and AI did. My thesis was correct about the company and mostly wrong about the reason. I got paid for a business line I wasn’t even thinking about.

I’d rather tell you that than let it sound like I saw the AI boom coming from a dining-room table in 2015. I didn’t. Nobody did.

The part nobody puts in the story: holding

The 250x number is meaningless without this section, because it quietly assumes you sat still. Almost nobody sits still.

Here’s what “just hold it” actually meant, using the same split-adjusted prices:

• Late 2018: NVDA went from $7.23 in October to $3.17 in December. That’s −56% in about two months, when the crypto mining bust wiped out GPU demand. It took roughly 16 months to make a new high.
• 2020 COVID crash: $8.54 down to $5.33. −38%, in a few weeks.
• Nov 2021 to Oct 2022: $33.38 down to $11.23. −66%, over most of a year, while every headline explained in detail why semiconductors were finished.

Sixty-six percent. If you had $30,000 in it, you watched $20,000 evaporate over eleven months, and the smart-sounding people on TV were telling you it was going lower. That’s the actual cost of the 250x. The math is easy. The stomach is the hard part.

So did I sit through all of that? Not the way the story usually gets told. I have to be straight with you: I am not the guy who bought in 2015 and held for eleven years. I sold every share to buy a house, and I’d make that trade again.

When I came back into the market, it was volatile and semiconductors were getting hit hard. Which, honestly, is what made it easy for me. I knew what Nvidia was doing — I’d been watching the product for years by then — so a falling price didn’t read as danger to me. It read as a discount. I kept buying the dips.

That worked out. I want to be careful about how I say that, though, because “I bought the dip in a stock I believed in” is the exact sentence people say right before they describe a disaster. It worked because Nvidia recovered. It worked because I was buying with spare cash I didn’t need. Change either of those and it’s a very different post.

I’ll also point at my own recent behavior here: I wrote a whole piece about panicking during the 2026 semiconductor selloff — same industry, same lesson, and I still felt it in my chest. Knowing the principle and executing the principle are different skills.

How I actually use the rule now

I still believe in it. I just don’t treat it as a buy signal anymore. It’s an idea generator, and then four questions have to pass:

1. Can I actually not live without it? Not “I like it.” Would I be annoyed if it disappeared tomorrow? Do I re-buy it without shopping around?
2. Is the thing I love actually where the money comes from? Check the revenue breakdown in the 10-K. If you love the app but 90% of revenue is something else, you don’t have the thesis you think you have.
3. Is it public and is it pure? Lots of great products are owned by conglomerates where the product you love is a rounding error.
4. Am I paying a sane price, and can I size it so a −60% year doesn’t change my life? If a two-thirds drawdown would force me to sell, the position is too big — no matter how right I am.

If it passes all four, I buy and I set a horizon measured in years, not quarters. If it only passes the first one, it goes on a watchlist, and I’ve saved myself a lot of money that way.

And since I just gave you rule number four, I should admit I’m breaking it. NVDA is over 50% of my portfolio. That is not a position size I would recommend to anyone, and it didn’t happen because I decided it should — it happened because I kept adding to a winner and never trimmed. If Nvidia has another 2022, I lose a third of everything I have in the market. I know that. I’m telling you so you don’t read “50% in one stock” as the lesson of this article, because it isn’t. It’s the part of my own portfolio I’m least comfortable defending.

My take

The thing I’d want someone to take from this: the reason the rule works isn’t that loving a product is a valuation model. It’s that loving a product gives you a reason to act when the price is telling you to run.

When I came back into the market and semis were getting hammered, the only thing I had that a chart-watcher didn’t was a machine under my desk with an Nvidia card in it that still did exactly what I wanted it to do. That’s not analysis. But it was enough to make me a buyer instead of a spectator, and being a buyer during the ugly stretches is where the entire return came from.

And the best thing that position ever did wasn’t the 250x anybody screenshots. It was becoming a down payment.

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Numbers in this post verified July 22, 2026 and subject to change — Nvidia’s share price, market cap, and standing move constantly, so check current data before acting on anything here. I hold NVDA and other semiconductor exposure, so read this with your skeptic hat on. I’m a software developer who invests on the side, not a financial advisor, and none of this is financial advice. Past returns of one stock tell you nothing about your future returns, and the 250x figure above is illustrative — it excludes taxes and fees and assumes a hold almost nobody achieves.

Not financial advice — this is my own morning prep, shared. Numbers are as of Tuesday’s close / this morning ET and move fast. Verify before acting.

The one-minute read

Chip stocks did the heavy lifting Tuesday — the SOX index soared 5% on strong Taiwan/South Korea export data — pushing the Nasdaq up 1.3% and the S&P 500 up 0.9% despite rising oil prices tied to the Iran conflict. Earnings season is running hot (~88% of S&P 500 reporters beating estimates), and the FOMC decision lands next Wednesday with rates expected to hold at 3.50–3.75%.

Overnight & pre-market

• S&P 500: 7,509.20 (+0.89%)
• Nasdaq Composite: 25,837.21 (+1.29%)
• Dow Jones: 52,224.64 (+0.74%)
• 10-yr Treasury yield: ~4.60%
• Fed Funds target range: 3.50%–3.75%
• 30-yr mortgage avg: 6.55% (Freddie Mac weekly), trending up
• 15-yr mortgage avg: 5.93% (Freddie Mac weekly), trending up

Movers worth noting

• MMM +7% — 3M’s Q2 earnings beat expectations.
• GM +5% — General Motors beat on both top and bottom lines for Q2.
• MU +12% — Micron (with Western Digital WDC and Seagate STX) rode the memory-chip rally; the SOX chip index jumped 5%.
• EFX −7% — Equifax’s Q3 guidance ($2.15–$2.25 adj. EPS) disappointed Wall Street.

Today’s economic calendar (ET)

• No major scheduled release today; earnings are the main event, with Alphabet (GOOGL), Tesla (TSLA), and IBM (IBM) reporting this week.
• On the radar: FOMC decision Wed, July 29 (2:00 PM ET) — rates expected to hold at 3.50%–3.75%, but markets price ~68% odds of a hike in September, so the statement’s tone matters. Jobs report Fri, Aug 7; CPI Wed, Aug 12.

On my watchlist

Whether the semiconductor rebound holds a second day, and oil prices — crude jumped Tuesday on Middle East tensions, which feeds directly into the inflation picture the Fed weighs next week. Mega-cap earnings (Alphabet, Tesla) will test whether the rally has support beyond chips.

Bottom line

Risk-on for now: broad earnings beats and the chip recovery are carrying the tape, and the Fed is expected to stay on hold next week. What would change the view — an oil spike from Iran-war escalation, a mega-cap earnings miss, or a hawkish FOMC statement that firms up September hike odds.

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Numbers above were accurate as of publish time and are illustrative of my own process, not a recommendation. Markets involve real risk.

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Sources: Trading Economics · CNBC · Yahoo Finance · Freddie Mac PMMS · US News – Mortgage Rates · Federal Reserve H.15 · Federal Reserve FOMC Statement · TheStreet · BLS/NAR release schedules via Trading Economics

The semiconductor sector officially entered a bear market — down more than 20% from its June peak (SOXX, the iShares Semiconductor ETF, fell from around $655 to the low-$520s). Every time chips drop this hard, the same two sentences show up together: “It’s a buying opportunity.” and “Not yet.”

I felt the same itch you probably did — open the account, see red, want to average down, and somehow the finger won’t click. Turns out Wall Street was frozen in the exact same spot. Now they’ve answered — and they gave three different answers. Here’s the map.

Semiconductor stocks just entered a bear market — how it happened

No single crash. Just one brick pulled out of the wall every few days:

• A class-action lawsuit accused Samsung, SK Hynix and Micron of throttling DRAM supply to prop up prices — putting “memory prices aren’t normal” on the record.
• Cerebras got attention for building AI chips on SRAM instead of HBM — a hint that the HBM chokehold isn’t permanent.
• Meta was reported to be weighing renting out spare data-center capacity — read by the market as a whiff of over-investment.
• Raymond James and Evercore ISI both warned memory prices may be near a cycle peak. That’s the scary one: memory makers’ profits jumped mostly because prices rose. Peak price = peak profit. Not “earnings get bad” — just “earnings can’t get better.” Markets hate that even more.
• SK Hynix reportedly considered slowing HBM expansion — i.e., building less of the priciest product.
• Then a macro punch: Middle East tension pushed oil up, which revived inflation fears, which killed rate-cut hopes. The 2-year Treasury yield hit ~4.2%, its highest since February 2025. Rising rates hit long-duration “pay now, profit later” stocks first — chips sat right in the blast radius.

Korea got it worse: SK Hynix fell as much as ~43% intraday from its high — 2022-crash territory.

The part almost nobody notices: who was actually selling

Here’s the weird bit. In July, SOXX had one of its worst months in years — and yet billions flowed into the ETF the same month (around $6.1B, its biggest monthly inflow since 2018, with one single day near $5.4B). Sister fund SMH saw big inflows too.

So money’s pouring in… and the price still drops? Think of the price as the water level in a tub:

• The faucet = money flowing into ETFs. This is mostly unborrowed money — pensions, 401(k) contributions, retail. Nobody can force it to sell. When price drops, it actually flows harder, because things got cheaper.
• The drain = hedge funds, which had been pulling money out at a record pace. Goldman’s prime-brokerage desk (which sees what hedge funds trade in real time) flagged signs of capitulation — the last holders finally giving up.

And why do they give up? Not impatience — leverage. Hedge funds run on borrowed money against collateral. Price falls → collateral falls → they’re forced to sell to shrink the position. They’d love to buy the dip; the margin math won’t let them.

The drain was bigger than the faucet, so the water level dropped. But the two flows are completely different animals: one is forced, one is free.

The three Wall Street scenarios

① The bottom is already in — JP Morgan. Buyers’ money is locked in; supply can’t grow for years. Hyperscalers (Google, Microsoft, Amazon, Meta) have pledged roughly $725B to AI infrastructure — reportedly up ~77% year-over-year, and nobody’s cut. New fabs started today don’t ship until ~2028. No new supply + committed demand = little reason for prices to fall. JPM even raised its memory-market-size estimate and told clients to re-enter chips this summer. → If true: today’s screen is the cheapest you’ll see for a while.

② A bounce comes, but the leadership doesn’t — Morgan Stanley (Mike Wilson). Expect a rebound, but don’t count on chips leading the market again in the back half of the year. The AI capex cycle isn’t over, but spending has outrun revenue — and credit and CDS spreads are widening, the bond market flashing caution while stocks still party. → If true: your exit plan matters more than your entry. Ride the bounce, but decide in advance where you get off.

③ The bottom isn’t here yet — Evercore ISI. This is a mid-cycle correction, not the end of the run. Across the last 25 years, all six chip upcycles saw a correction within ~4 months of the revenue-growth peak (Evercore pegs this cycle’s peak at Q3 2026). Those corrections historically ran ~13% and ~6–7 weeks, and bottomed when chip valuations matched the S&P 500 — right now chips are still ~10% more expensive. So: maybe 2–3 more weeks and another 10–15% down (roughly SOXX $450–475). The kicker: after these corrections ended, chips historically rebounded ~36% over ~20 weeks, and the hardest-hit names led — Evercore flagged Micron, ARM, and Intel. → If true: don’t fire all your cash at once — there may be a cheaper window in a few weeks.

The thing all three agree on: none of them thinks the AI cycle is over. The fight isn’t buy vs. don’t — it’s when. And all three are staring at the same number: hyperscaler data-center spending. This earnings season (Alphabet kicks it off) settles who’s right.

⚠️ Very important to know before you touch this

This is the part I’d tell a friend, no hype:

1. “Down 20%” is not the same as “cheap.” By Evercore’s yardstick, chips were still ~10% more expensive than the S&P 500 at the lows. Fell a lot ≠ good value.
2. Forced selling ≠ your selling. Hedge funds sold because leverage made them. You (probably) have no margin call. Copying a forced seller with free money is a totally different decision that just looks the same.
3. Money flowing in doesn’t mean up — yet. The drain can outrun the faucet for a while. But leveraged sellers eventually run out of things to sell.
4. You’re not going to miss it by a day. Historical rebounds averaged ~20 weeks. This isn’t a lottery ticket you miss by sleeping in.
5. Two things to actually watch: (a) the data-center capex line in Big Tech earnings — held = bullish, trimmed = the ②/③ worry gets real; (b) whether DRAM/NAND selling prices actually roll over, or it’s just talk.
6. The real edge isn’t timing — it’s staying power. When someone else is forced to sell and your hand is free, the same drop is their problem and your opportunity. Only deploy money you can sit on.

My take

In my previous articles, I’ve been saying AI is still in early development and this is just a correction along the way. Even the U.S. government is backing it — they can’t afford to lose this AI race to other countries. My position hasn’t changed: wait patiently for the moment, and buy the dip on semiconductors — not all at once, just cost-average in, always.

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Not financial advice — my read on someone else’s analysis plus my own, for a family software dev who trades on the side, not a professional. Semiconductor stocks can swing 10–20% in a single session; figures here reflect mid-July 2026 and change fast. Do your own homework and only risk money you can hold through the drop.

Hebojago is my journey to financial freedom, recorded live — real experiments, real numbers, wins and mistakes.

I want to be honest about something before I give any advice: staying calm in a crash is hard, and anyone who tells you it’s easy is either lying or isn’t actually in the trade. I’m in the trade. And the last few weeks have not been fun.

So this isn’t a “just relax and think long term 😌” post. This is what actually happened to my nervous system, what I got wrong about my own numbers, and the reframe that finally brought my heart rate down.

Let me start with my own greed

I bought SOXL — the Direxion 3x leveraged semiconductor ETF — below $100. A few weeks ago it was around $300.

I’d tripled my money, and I’ll tell you exactly what I was thinking, because it’s the sentence that should have warned me: this is going to the moon. Not “this is a good position.” To the moon.

Then July arrived and it fell off a cliff. And the same brain that had been planning the moon landing was suddenly screaming at me to sell everything before I lost it all.

I didn’t sell. Here’s the thinking that got me there — including the part where I realized my panic was doing arithmetic from the wrong number entirely.

What actually happened to semis

For the first half of 2026, semiconductors were untouchable. The Philadelphia Semiconductor Index (the SOX) was up roughly 65% in six months and posted what was, by most accounts, its best quarter on record. If you owned chips, you were a genius. Everyone was a genius.

Then the music stopped:

• The SOX has shed more than 20% from its June peak in about three weeks.
• Early data suggests July alone erased roughly 35% of the sector’s entire 2026 gain.
• Micron is down around 17% from its peak. Intel fell 21% in seven trading days. SK Hynix had its biggest single-day drop on record.
• Investors pulled roughly $7 billion out of growth funds in a single week, rotating into value.

The cause isn’t chip demand collapsing. It’s a valuation reset: Wall Street questioning whether the enormous AI infrastructure spending pays off, reports of SK Hynix slowing its high-bandwidth memory expansion, and a more hawkish Fed under new Chairman Kevin Warsh.

A 20% drop after a record quarter is not the same event as a business breaking. Those two things feel identical at 2am and are completely different in reality.

Why your brain is screaming (and why that’s normal)

Here’s the part the “stay calm” gurus skip: your panic is not a character flaw. It’s wiring.

Loss aversion means a dollar lost hurts roughly twice as much as a dollar gained feels good. So when a position I was up big on gives back a chunk, my brain doesn’t process it as “still up a lot.” It processes it as pain, right now, make it stop. That’s not weakness. That’s a 200,000-year-old survival circuit doing its job in an environment it was never built for.

Knowing that doesn’t make the feeling go away. But it does something useful: it lets me treat the urge to sell as information about my emotional state, not as information about my investment. Those are two different data streams, and the entire game is not confusing one for the other.

The $300 that was never mine

Here’s the trick my brain played on me, and I think it plays it on almost everyone.

I bought below $100. Even after this crash, I’m still up. I have not lost a single dollar of the money I put in. By any honest accounting, this is a winning position.

So why did it feel like a catastrophe?

Because the moment SOXL touched $300, my brain silently moved the goalposts. $300 became the new baseline — the “real” number, the money I had — and everything after felt like theft. But I never sold at $300. That number was never in my bank account. It was a screenshot, not a paycheck.

Panic usually isn’t caused by losing money. It’s caused by measuring from the peak.

Once I recalculated from my actual cost basis instead of my highest-ever screenshot, my heart rate dropped without me doing anything else. Same position, same market, completely different feeling. The only thing that changed was where I put the zero.

That’s not a trick to make yourself feel better about a bad position — if I were underwater on my cost basis, this section would say something very different. It’s about making sure the number you’re panicking about is a real one.

The honest part: I don’t own semiconductors

Now the section that costs me something to write.

I keep saying “AI is still growing, this is just noise,” and I believe that. But I have to be careful, because that’s a thesis about semiconductors, and I don’t own semiconductors. I own SOXL.

SOXL is built to deliver 3x the daily move of a semiconductor index — and it resets that leverage every single day. This selloff showed exactly what that means:

• On June 23, SOXL fell 23% in one session while unleveraged semi ETFs fell about 8%.
• On July 1, it dropped 16.4% — from $266.71 to $223.01 — while the underlying index fell 5.68%.
• Over the past month it’s down roughly 30%.

And the amplification isn’t the sneaky part. The daily reset is. In a choppy market, rebalancing every day bleeds value even if the index ends up back where it started — volatility decay, and it’s structural, not a fee line. The fund also carries billions in notional swap exposure whose financing costs erode value every trading day, up or down.

The long-run receipts are humbling: over the past five years SOXL returned roughly 479% while the unleveraged SMH returned about 404%. Three times the daily risk. Barely any extra return.

So here’s the thing I’d want you to take from this post more than anything else: with a normal chip ETF, being right about the destination is enough. With a 3x daily-reset product, the path can beat you even when you’re completely right. A long, choppy, violent, sideways stretch — which is exactly what a valuation reset often looks like — is the specific weather this product handles worst.

Being right slowly is a losing trade in this thing. That’s not a reason to panic. It is a reason my sell trigger can’t be vibes.

My rules (decided before, not during)

The most calming thing I do has nothing to do with the crash. It’s that I made my decisions in advance, while calm, so the terrified 2am version of me doesn’t get a vote.

1. With leverage, position sizing isn’t “how much can I lose” — it’s “how much volatility can I emotionally survive.” A 7% day for the sector is a 20%+ day for me. The right question was never just about the downside number; it’s whether I can watch that number and still behave like an adult.

2. I stopped checking hourly. Watching a leveraged position tick red all day is self-harm with extra steps. The information value of an intraday chart is roughly zero; the emotional damage is not.

3. I separate “the thesis broke” from “the price dropped.” Price dropping is noise. Thesis breaking — demand actually falling off a cliff, the story I bought being wrong — is the only valid reason to sell. But per the section above, for a leveraged product I need a second trigger too.

4. I keep cash on the sidelines on purpose. Not because I can time bottoms — I can’t — but because dry powder turns a scary red day from a pure threat into a possible opportunity. That reframe is worth more than the returns.

The trader’s trick that turns fear into getting paid to wait

Quick one, because it’s genuinely calming: I sell cash-secured puts.

Stripped of jargon, a cash-secured put is a way of saying “I’d happily buy this at a lower price, and I’ll take a premium today for committing to that.” When markets fall and everyone’s scared, those premiums fatten. So a crash flips, mechanically, from “the thing hurting me” into “the thing paying me to name my buy price.”

I’m not telling you to go trade options — done wrong they will hurt you, and this isn’t a how-to. [ADD INTERNAL LINK — your cash-secured puts explainer, e.g. /post/cash-secured-puts-explained/] The point here is psychological: owning a mechanism that gets better when things get scarier is the most effective anti-panic tool I have.

When “staying calm” is actually denial

A calm post that only says “hold” is a dangerous post, so here’s the counterweight.

Calm is a virtue right up until it becomes an excuse to ignore reality. Diamond-handing something whose story has genuinely fallen apart isn’t discipline — it’s the sunk-cost fallacy in a motivational t-shirt. Sometimes the disciplined, unemotional move is to sell.

The test I use: Am I holding because the thesis is intact, or because selling would mean admitting I was wrong? If it’s the second one, that’s not calm. That’s fear wearing a better outfit.

Before you copy me: please read this

I know how this post could be misread. “Guy turned <$100 into $300 on SOXL” is exactly the kind of sentence that makes people open a brokerage app and skip everything else.

So, plainly: 3x leveraged ETFs are not buy-and-hold investments. Direxion itself says these products aren’t suitable for all investors and are meant for people who understand leverage risk and actively manage their positions. They’re built as short-term tactical tools. I bought early into a historic run and got a big move in my favor — that outcome says more about timing and luck than about skill, and the same product on a different path could have cut my money in half instead.

If you want exposure to the AI/semiconductor story without the daily-reset decay, unleveraged funds exist and track the same companies. That’s not a recommendation — it’s just the part of the menu people skip when they’re excited.

What I’m actually doing

The boring truth is that most of “staying calm” is infrastructure you build before the storm: right position size, rules written down, cash set aside, the discipline to check less — and knowing precisely what you own, not the thing you wish you owned.

Do that work in the sunshine, and a crash becomes something you sit through instead of something that happens to you.

I’ll keep updating this as it plays out. That’s the whole point of doing this in public.

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This is my personal experience and my own math, not financial advice, and I’m not a financial advisor. I hold a position in SOXL, so read me with a skeptic’s eye. Leveraged ETFs carry substantial risk including rapid and permanent loss; they are designed for daily exposure, not long-term holding, and are not suitable for every investor. Nothing here is a recommendation to buy or sell any security. All market figures cited were accurate around mid-to-late July 2026 and change constantly — verify current numbers and read the fund prospectus before acting on anything.

Hebojago is my journey to financial freedom, recorded live — real experiments, real numbers, wins and mistakes. Follow along here.