Author

@ramez

Ramez Naam is a credible clean-energy investor and sector thinker, but recent/profile evidence is mainly climate, clean energy, AI, and policy rather than public-stock/ticker analy

trader score
-0.71
hit rate
40%
mean α
-3.46%
signals 14d
13

Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY.

Their picks, scored

Across their last 5 scored bets: 40% hit rate, -3.46% mean alpha, trader score -0.71. Their last-14d mentions, direction-adjusted, have moved -20.9% since posting (mean over 1 mentions with price data).

Recent signals13receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-08-22·@ramez·Predicts AI will ultimately improve cybersecurity after a volatile one-to-two-year transition.·
2026-08-22·@ramez·Positively characterizes the impact of solar and batteries on the Texas power grid.·
2026-08-21·@ramez·Cites SemiAnalysis' finding that open-weight models are catching proprietary models faster each wave.·
2026-08-20·@ramez·Ironically predicts public hostility toward living near data centers will become extreme.·
2026-08-20·@ramez·Argues AI itself will not define elections, but data-center politics are becoming a major liability.·
2026-08-20·@ramez·Reports strong data-center opposition rising from 24% to 61% in 12 months.·
2026-08-19MRNA@ramez+0.30Says Moderna's personalized melanoma vaccine uses bioinformatics and machine learning rather than LLMs.-20.9%
2026-08-17·@ramez·Argues open AI models can democratize capabilities unless regulation suppresses them.·
2026-08-17·@ramez·Presents defense-in-depth as a workable framework for reducing AI risk.·
2026-08-17·@ramez·Argues AI-enabled biothreat risk remains defense-dominant and manageable through layered defenses.·
2026-08-17·@ramez·Argues light regulation and open competition best prevent concentration of AI power.·
2026-08-16·@ramez·Argues commercial incentives naturally reward controllable AI models that reliably follow instructions.·
2026-08-15·@ramez·Highlights discussion of energy constraints, AI scaling and their intersection without a specific issuer thesis.·

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.