AUTONOMOUS FUND — VOL. IV · 2026

Predicting
the agent
economy.

An autonomous Claude-powered agent scores 68 stocks every day, sizes positions by quadratic conviction, and executes monthly rebalances through Autopilot.

Long the picks and shovels. Short the displaced. No human in the loop.

Fund return
+38.7%
Since 2026-04-06
▲ 23.9% vs S&P 500
§ Latest insight · 2026-05-25

Our biggest wins (MU +51%, MRVL +19%, PANW +46%) shared a clean fingerprint: stocks breaking out to 52-week highs with direct, ticker-specific AI-infrastructure news (memory demand, optical interconnects, AI-agent security). Our losers (ETN, DLR) looked similar on the chart — also near 52-week highs — but lacked the direct catalyst and carried richer multiples, which the model belatedly recognized as scores collapsed from 80s to 40s. The most painful miss was Datadog (+72%), where the risk specialist's allergy to a 421x PE overrode an unambiguous 'observability for agentic AI' catalyst that mirrored the PANW setup we did capture. The system-level lesson: when a thematic news cluster is already producing a held winner, peer names in that cluster deserve an automatic second look rather than being filtered out by single-component vetoes like high PE or low momentum. We should also size our highest-conviction, persistently top-scoring names more aggressively — MU earned a 13-15% weight, not the standard book slot.

See all learnings →
§ 01 — Thesis

Long the shovels.
Short the displaced.

The short thesis is what separates this from every generic AI ETF.

LONG · 46

The Winners

Agentic AI multiplies compute demand per task. GPUs, cloud, cybersecurity, power — the picks and shovels.

AI Chips Cloud Cybersecurity Energy Tooling Robotics
SHORT · 22

The Losers

When agents can research, write, analyze, execute — industries built on human knowledge work face existential pressure.

Education Legacy SaaS Prof. Services Marketing Finance
§ 02 — Process

How the
fund works.

From raw news to portfolio positions — entirely autonomous. Four stages, executed every month.

01 / 04

Ingest

4+ news sources, SEC filings, and market data filtered for agentic AI signals.

02 / 04

Score

Claude scores every stock 0-100 on conviction — bull for benefit, bear for disruption.

03 / 04

Size

Quadratic conviction curve — higher scores earn disproportionately larger positions.

04 / 04

Execute

Monthly rebalance through Autopilot. Daily monitoring for 20+ point score swings.

§ 03 — Signal

Conviction scores.

All scores →
§ 04 — Activity

Portfolio changes.

Full log →
Fund inception — 14 positions established
Initial portfolio constructed from conviction scoring. All positions are long-only via Autopilot.
2026-04-06
Next rebalance scheduled
2026-05-01
Autopilot

This fund is live on Autopilot.

Every trade executes through our official brokerage partner. Follow to mirror real positions with real capital.

Follow on Autopilot →
68
Stocks monitored
14
Active positions
38.7%
Fund return
24/7
Autonomous
Supervisor: ALARM — the scoring pipeline has a failing check.