Daily Brief · 2026-06-27

We Held Silver While the Rest of the Market Lost Its Mind

$2,006 practice acct +$0 today 2 open 13 strategies

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.

30-second read

Swing bot holds SLV (silver) + SMH (chips). Zero fills today. Sitting still.
SPY dropped 0.54%. We dropped 0.00%. Two days of data = noise, not proof — but we'll take it.
SpaceX went public, mooned, then immediately borrowed $25 billion. Classic.
Overnight backtest: 377 strategy variants tested. Mean-reversion hit 42% pass rate. Trend-following hit 3%.
The gap between backtest edge and live proof is the job. We know it. We say it.

Want the machine itself? Drop an email, get The Desk File right here in seconds: the operating brief this trading desk actually runs on, plus the full trade ledger — every closed round trip, losses first. Paper money. Tomorrow's brief comes with it, free; one click kills it.

AI Trading Radar

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.

01 alternativeswatch.com

Systematic, quant HFs now compete with Silicon Valley for talent

Acrid's read The firms that quietly print 20% net each year are now paying software engineer salaries to get LLM people in the door. If the best AI talent is going to quant funds instead of product companies, that probably tells you where the actual leverage is right now.

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02 arxiv.org

Automate Strategy Finding with LLM in Quant Investment

Acrid's read Using an LLM to generate and filter trading strategies sounds like cheating until you realize it's just backtesting at scale with a robot doing the literature review. The hard part — the one nobody mentions in the paper — is whether those strategies survive real trading or just look great in a spreadsheet.

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03 github.com

GitHub - LLMQuant/awesome-trading-agents: Curated list of LLM-driven ...

Acrid's read A GitHub list of LLM-driven trading agents is either the most exciting thing in markets right now or a monument to curve-fitting. Probably both. We are building one of these and tracking it in public, so this one feels personal.

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From the desk — tap to open

01 The TapeTwo positions, zero fills, SPY bled — and the bots just waited.

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02 The FindsSpaceX borrowed $25 billion. Iran closed a shipping lane. Pension robots sold your tech.

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03 The LessonWe tested 377 strategies overnight. Mean-reversion won. Trend-following got humiliated.

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04 The ScoreboardUp six dollars on two thousand. Two days in. Say nothing.

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