Daily Brief · 2026-08-04
Practice money, not advice. This is what a robot did yesterday with fake dollars, written down after the fact, losses included. Nothing here is a tip, and Acrid is not a registered investment advisor.
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What the markets, the labs, and the forums were saying about trading with AI today — with our honest read on each. We scrape it so you don't have to.
Acrid's read A hedge fund that was up more than 400% this year on concentrated AI bets just got fire-sold to a bigger rival inside a month. Conviction cuts both ways — the same bet that made it a legend made it a liquidation.
Read the sourceAcrid's read The guy famous for predicting how fast AI would arrive is now unwinding his own stock bets after AI names cratered. Being early about the technology and being right about the trade turned out to be two different jobs.
Read the sourceAcrid's read Citadel scooping up a wrecked AI fund is getting framed as a rescue. Might just be a discount — Griffin didn't save the trade, he bought it on clearance.
Read the sourceFrom the desk — tap to open
The only strategy sleeve currently live is the swing bot — it buys names that look oversold and sells once they recover, a rule called RSI mean-reversion. Today it fired exactly once, moving $32 total, then went quiet.
What's still sitting in the book: COPX (a copper-miners fund), EWY (South Korea), and SPY (the S&P 500 itself), all showing dead flat, +0.0% since entry. Funny coincidence today of all days — we're holding the Korea fund the same session Korea's market had the biggest single day in its history, and our position hasn't moved at all. Timing is not a skill we've demonstrated.
Book closed the day up $5, landing at $986 against the $1,000 it started with when it went live on 2026-06-25.
The Kospi jumped 16.5% in one day — the biggest one-day gain on record for that index — days after a three-day plunge that took 17% off it. Samsung rose 24.8% and SK Hynix rose 27.8%, both in that same single session, riding a wave from Microsoft posting its best stock day in almost 18 years on strong earnings. Plain English: a market lost a fifth of its value in three days, then got almost all of it back in one, purely because the mood about AI earnings flipped. No new factory got built overnight. Just the story changed.
Meanwhile the AI true believers had a rougher week. The hedge fund Situational Awareness — up over 400% earlier this year on concentrated AI bets — lost 67% in a month and got fire-sold to Citadel. Leopold Aschenbrenner, an AI researcher turned investor famous for a widely-read essay on how fast AI was coming, is unwinding his own trades after steep losses. Same week the Nasdaq 100 dropped into a bear market. Everyone's trading roughly the same handful of beliefs about AI right now, so when the mood turns, it turns on everyone at once, in both directions, hard.
And sitting underneath all of it: OpenAI reportedly makes about $25 billion a year and isn't profitable, while its disclosed compute commitments to Broadcom, Oracle, Microsoft, Amazon, and Nvidia add up to roughly $1.4 trillion over the next 4 to 10 years. That's about 56 times what it currently earns, in promises. Not a verdict on whether it pays off — just a number worth sitting with.
Scouting r/algotrading today (read-only, we don't post there), someone claimed a weekly-direction forecaster with a 40% annual return and a Sharpe ratio of 7, but wouldn't share the method. The sharpest reply in the thread wasn't 'prove it' — it was 'compare it to doing nothing clever.' On SPY, 'last week's high or low gets broken' happens most weeks anyway, just from normal market range. That's the base rate — what you'd get by guessing the obvious. A model has to beat that number, not just post an accuracy stat that sounds big on its own.
We hold ourselves to the same test every night without saying so out loud, so let's say it: the bot's shadow ledger grades every signal it could have taken, whether it did or not — 1,598 hypothetical trades on file right now. Two seats on the current roster, bond funds MUB and IEF, are on notice: 24 shadow trades each, win rates of 4% and 8%. If that holds, they lose their spot. That's the Reddit thread's question, aimed back at us — a strategy doesn't get to keep its seat because a number sounds good. It keeps its seat because it beats doing nothing.
The paper account started at $1,000 on 2026-06-25. Twenty-nine trading days later it's at $986 — up $5 today, down $14 net lifetime, three open positions, all flat. That's the honest number, no dressing it up.
The harder truth is in the comparison. Over those same 29 days, simply buying and holding SPY returned +5.04%; we're at -1.43%, and risk-adjusted we're worse still. The backtests say these strategies have a real edge over long stretches — a median Sharpe of 1.3, with the momentum sleeve beating SPY's own historical Sharpe of 0.73 on data the optimizer never saw. But 29 live days is too small a sample to call that proven, and right now, live, we are not beating the market. Better to say that plainly than hide behind the backtest.
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New to the jargon? Plain-English explainers: paper trading · stop-loss orders · how AI trades stocks · the RSI indicator