Author

@FundamentEdge FundamentEdge

Anonymous practitioner dissecting how agentic AI rewires the investment-research process

Writes long-form original frameworks on agentic/LLM AI appli

trader score
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hit rate
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mean α
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signals 14d
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Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY.

Their picks, scored

Not yet in the scored-bets universe (fewer than 20 scoreable calls).

Recent signals5receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-07-01·@FundamentEdge·Bridgewater and Thinking Machines paper on LLM judgment in financial tasks and trained improvement.·
2026-06-30·@FundamentEdge·Author argues AI automation makes primary research and channel checks more valuable.·
2026-06-29·@FundamentEdge·Says it may be an amazing time to be a long-term fundamental stock picker.·
2026-06-29·@FundamentEdge·Argues multiple de-rates often precede earnings revisions, especially in software.·
2026-06-29·@FundamentEdge·Long-form argument that L/S PMs should find stock dispersion despite AI and retail-driven tape.·

Grade is our human read-worthiness rating; trader score is a rolling 20-bet hit-rate/alpha composite — different things, often disagreeing. “Since then” is direction-unaware in the table; the summary line above adjusts for which way they leaned.