Author

@PeterBerezinBCA PeterBerezinBCA

BCA macro strategist dissecting the AI capex boom with contrarian, base-rate rigor

Publishes original top-down macro research and second-order

trader score
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hit rate
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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 signals10receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-08-27·@PeterBerezinBCA·Sarcastically questions hyperscaler economics as depreciation approaches expected operating profits.·
2026-08-26·@PeterBerezinBCA·Argues weak real income and a stable saving rate would slow consumer spending·
2026-08-26·@PeterBerezinBCA·Reports OpenRouter data showing Chinese models now process more tokens than US models·
2026-08-23·@PeterBerezinBCA·Attributes rising bond yields to exploding federal interest costs and expectations of further increases.·
2026-08-22·@PeterBerezinBCA·Questions whether local models weaken the case for massive data centers·
2026-08-21·@PeterBerezinBCA·Argues AI may need up to $10 trillion in annual revenue to justify data-center capex.·
2026-08-20·@PeterBerezinBCA·Falling Chinese fiscal and credit impulse is presented as bearish for growth over the next year.·
2026-08-19·@PeterBerezinBCA·Questions whether AI efficiency gains could weaken the thesis that trillions in data-center spending are necessary.·
2026-08-19·@PeterBerezinBCA·Cites BLS data showing second-quarter productivity growth decelerated to barely above its long-term trend.·
2026-08-19·@PeterBerezinBCA·Reports that technology-sector credit spreads now exceed those of most sectors.·

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.