I am not a licensed financial advisor. This is a documented public experiment, not investment advice. Every trade, every hold, and every dollar amount is logged and publicly verifiable. See the pre-registration post for the full rules of this experiment.
This is Day 7 of the Investing Smarter Test — a 12-month experiment where I gave an AI $1,000 in a real Robinhood account and let it trade on its own. The only question I’m trying to answer: can an AI beat the simplest thing a person could do with $1,000, which is drop it in an S&P 500 index fund and walk away?
This morning, one of the AI’s holdings — XBI, the biotech sector ETF — hit a fresh 52-week high. The AI scanned 8 foreign and sector ETF candidates, reviewed every single one, and walked away from all of them. Not because nothing was happening. Because nothing met the bar.
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Here’s where things stand. (New here? Yesterday’s update is here, and the pre-registration post lays out the whole experiment.)
Quick plain-English note, in case you’re newer to this: when I say the S&P 500 (ticker SPY), I mean a single investment that holds a slice of America’s 500 biggest companies all at once — Apple, Microsoft, your bank, the company that makes your toothpaste. You buy one thing and you own a little piece of all of them. That’s the “boring index fund” everyone keeps telling you to buy — and it’s the yardstick the AI has to beat. Learn that one term and you’re already ahead of most people.
What This Does Not Prove
Before I show you the scoreboard, a word about what you’re looking at.
This is one account. One run. One AI. Twelve months. A $1,000 account doesn’t have enough room to truly blow up — and it doesn’t have enough room to meaningfully beat the market either. Statistics require sample sizes. One experiment is a story, not a proof.
If the AI is up right now, that doesn’t prove AI investing works. If it’s down, that doesn’t prove it can’t. What it does prove is whether this specific AI, following this specific strategy, beat or lost to the simplest available alternative — a plain index fund — over this particular stretch of time.
I’m publishing every day, win or lose. If the AI blows up, you’ll see it here. That’s the point.
The Investing Smarter Test Scoreboard — Day 7 (June 30, 2026)
| AI Account | S&P 500 Index (Benchmark) | |
|---|---|---|
| Starting value | $1,000.00 | $1,000.00 |
| Current value | $1,007.43 | $1,004.78 |
| Change from start | +$7.82 (+0.74%) | +$3.44 (+0.48%) |
| AI vs. Index gap | +$2.64 (AI ahead) | — |
| Drawdown so far (AI) | –0.44% | –2.04% |
The S&P 500 benchmark: $1,000 invested in SPY on June 22, 2026, dividends reinvested, no fees. The honest comparison is always “what would $1,000 in an index fund have done?”
The AI is $2.64 ahead of the boring index fund through seven days. Worth a caution while it’s fun: this is a tiny account over a short stretch, and a lead this small can just as easily be luck as anything else — so I wouldn’t read too much into it yet, in either direction.
If This Were $10,000 Instead of $1,000
I started this with $1,000 because that’s a real, relatable amount and it’s what I was willing to hand an AI. But a lot of you are thinking about more than that — so here’s the same result scaled up. Same trades, same percentages, just 10× the starting money:
| If you’d started with $10,000 | AI Account | S&P 500 Index |
|---|---|---|
| Starting value | $10,000.00 | $10,000.00 |
| Would be worth today | $10,074.30 | $10,047.85 |
| Change | +$78.18 (+0.74%) | +$34.42 (+0.48%) |
| Difference | +$26.45 (AI ahead) | — |
The point of showing both isn’t “look what the AI could have made you.” It’s the gap. At $1,000 the AI is ahead of the boring index fund by $2.64; scaled to $10,000 that same gap is $26.45 — same story, bigger numbers. Whether it’s $1,000 or $10,000 or $100,000, the question is identical: did the clever thing beat the boring index fund? — and notice the boring index fund’s number scales just as cleanly without anyone having to watch it every day. (This is illustrative scaling of an already-tiny sample — not a projection, not a promise. Past performance is not future performance.)
Why the AI Held — And Why That’s the Whole Point
Here’s the thing nobody tells you about investing: most of the skill is in not doing things.
Today, XBI — the biotech sector ETF the AI bought on Day 2 — touched a fresh 52-week high of $159.14, up 17% just in June and 27.5% year-to-date. The biotech M&A wave the AI identified as its thesis? Still running, at $106 billion in deals so far this year. Meanwhile, eight foreign ETF candidates were lined up and screened: South Korea (EWY), Taiwan (EWT), gold miners (GDX), India (INDA), China (FXI), energy (XLE), Brazil (EWZ), Japan (EWJ). A human staring at those names all day feels the itch to do something — swap into something that’s been moving, catch the next wave. That itch is what empties investment accounts.
The AI felt none of it. At the open this morning it reviewed the portfolio and the full candidate list and decided to hold. Here’s the reasoning it logged:
HOLDINGS REVIEW (mandatory each tick):
1. AAPL (0.003333 shares, $0.95 value, -4.63%): TEST ARTIFACT FLAG acknowledged. Position is $0.95 — literally sub-dollar rounding error. Evaluating on merits: AAPL at $286.16 is ~5% off 52wk high, solid fundamentals, but this position is too small to matter either way. The friction cost of selling ($0.95 position) would exceed any capital recovered. HOLD as immaterial — not worth the execution friction to exit.
2. VWO (1.63 shares, $97.42 value, -2.59%): No position_memory thesis on file (pre-dates system). Judging on current merits: VWO at $59.67 is near 52wk high ($61.52), +10% YTD, PE 18.9, EM diversification intact. -2.59% drawdown is well within normal range, nowhere near -15% backstop. No red flags in news. HOLD — thesis (EM diversification, trend intact) still developing.
3. XBI (1.01 shares, $160.07 value, +6.71%): Position_memory thesis: trend breakout on biotech M&A tailwind. Kill_criteria: close below $142 on 2 consecutive days, OR sector-wide negative catalyst, OR 50d/200d death cross. Current: XBI at $158.45, hit 52wk HIGH today ($159.14), +17% June, +27.5% YTD. Price is well above $142 support. No death cross. No negative sector catalyst. Thesis CONFIRMED and playing out — M&A at $106B YTD supports continued tailwind. HOLD.
NEW CANDIDATES: Discovery returned 0 candidates passing the fence. Rejected names reviewed: EWY/EWT (extended, chasing momentum at peak — fails anti-hype rule), GDX/INDA/FXI (falling knives with no catalyst), XLE (bearish cross despite YTD gains), EWZ/EWJ (no differentiating catalyst). All fail either the anti-hype rule or mean-reversion without catalyst requirement. Honest assessment per discovery: no clean entry points in eligible universe today.
DECISION: HOLD all three positions. No new buys — nothing clears the fence. Cash (~$740 uninvested) remains available for a setup that actually earns entry. Inaction is the disciplined call when no opportunity clears the bar.
A note on reading that: the AI will always write a confident explanation. Confident reasoning is not the same as correct reasoning. I’m logging it exactly as written so we can look back later and see whether it was right — or whether it just sounded right.
Two things worth calling out in that reasoning. First, XBI is a sector ETF — a fund that holds a basket of biotech stocks — not an individual company. The AI treats stocks and sector ETFs on equal footing, picking whatever has the best risk/reward from the full eligible universe. The fact that the AI’s two real conviction picks (VWO and XBI) are both ETFs isn’t a problem — it means those were genuinely the best setups available when it looked. Second, that AAPL position ($0.95) was an early technical test of the trading connection, not a conviction pick. The AI knows this and evaluates it differently. The real portfolio is the two ETF positions and the $740-plus in cash waiting for something that actually clears the bar.
What holding means for the strategy:
This is a buy-and-hold experiment. Most days should be hold days. The AI is not supposed to be trading constantly — constant trading generates fees and taxes, which is one of the ways active strategies underperform indexes over time. A day where the AI scanned eight candidates and walked away from every single one is not a failed day. It’s the experiment working exactly as designed.
What You Should Actually Do With $1,000
I get this question every time I write about investing experiments: “Should I do what the AI is doing?”
Here’s my honest answer: probably not.
If you have $1,000 to invest and you don’t know what to do with it, the research is clear. Put it in a low-cost S&P 500 index fund — something like SPY, VOO, or FSKAX. Set it up as automatic monthly contributions if you can. Don’t check it daily.
Where to actually do it. I want to be transparent: for some of these services, there are two links — a referral link (both you and I get a small bonus) and a plain direct link (I get nothing). Your choice, never required. This is consistent with my editorial independence policy.
- Vanguard — the low-cost gold standard. Buy VOO directly; ~0.03%/yr. Best if you want the cheapest DIY option. No referral program — one link only: vanguard.com.
- Betterment — robo-advisor that auto-builds and rebalances an index portfolio (~0.25%/yr). → referral link (we both get a bonus) or plain link (I get nothing).
- Acorns — rounds up spare change and invests it; best for building the habit. → referral link ($5 for you after you invest) or plain link (I get nothing).
- Robinhood — the commission-free broker this experiment runs on; fine for buying VOO/SPY and leaving it alone. → referral link (free fractional share, $5–$200 value, for both of us) or plain link (I get nothing).
That’s it. That’s the boring, reliable thing. The entire point of this experiment is to find out whether a sophisticated AI can actually beat that boring, reliable thing — and after 7 days, here’s exactly where it stands: the AI is $2.64 ahead of the index fund.
Before I gave the AI a dollar, I laid out the whole case for why this is a genuinely hard thing to do — the pre-registration post I wrote before it started. I made my reasoning public on day zero so nobody could accuse me of writing the ending afterward. Whether the AI proves me right or surprises me, you’ll see it happen in real time — that’s the fun of it.
Transparency: The Full Log Is Public
Every trade this AI has made or declined to make — plus its logged reasoning — is publicly documented in the experiment context post. The AI’s instructions are also documented there. If you want to verify anything in this post, you can.
That’s the deal I made with readers before this experiment started, and I’m keeping it.
FAQ
Q: How is the S&P 500 benchmark calculated?
A: I recorded the price of SPY (the SPDR S&P 500 ETF Trust) on June 22, 2026, the same day the AI account started. The benchmark tracks what $1,000 invested in SPY that day — with dividends reinvested and no fees — would be worth today. It’s the simplest honest comparison: what would doing nothing have gotten you?
Q: Can I follow along or copy the AI’s trades?
A: You can follow along — every trade and hold decision is logged publicly in the experiment context post. I’d encourage you NOT to copy the trades, though. This is one $1,000 experiment, not a recommendation — a single concentrated account isn’t a sound way for anyone to invest their own money, no matter how it ends up doing. The better move is the boring one above: a low-cost index fund, left alone. Follow the experiment for the story; don’t follow it as a strategy.
Q: If the AI isn’t trading, is anything actually happening?
A: Yes, but slowly. A buy-and-hold strategy means most days are hold days by design. The AI is monitoring for specific conditions that would justify a trade — today it scanned eight foreign ETF candidates and rejected all of them for concrete reasons. In the meantime, whatever the account holds is rising or falling with the market. That’s the nature of this kind of strategy — and one of the ways it differs from active trading, which generates more costs than most people realize.
Coming Up
Every weekday morning I post what the AI decided and where the scoreboard stands. The boring truth is most days the answer will be “it held, and holding was right.” Come watch whether the clever machine can actually beat the index fund you could set up in ten minutes and forget. Subscribe or bookmark this series so you don’t miss the day the experiment proves its point — in either direction.
Steve Rhode is not a licensed financial advisor. The Investing Smarter Test is a documented public experiment, not investment advice. All trades and decisions are logged publicly. Do not make financial decisions based on this experiment. For guidance on your own money, talk to a fee-only fiduciary financial advisor.
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