Author

@monetarycomm monetarycomm

Macro commentator who reads daily heatmaps into an AI-vs-cyclicals regime narrative

Posts near-daily US market recaps built from S&P heatmaps an

trader score
+0.89
hit rate
80%
mean α
+1.93%
signals 14d
8

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: 80% hit rate, +1.93% mean alpha, trader score +0.89. Their last-14d mentions, direction-adjusted, have moved +18.3% since posting (mean over 2 mentions with price data).

Recent signals8receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-10-16·@monetarycomm·Says current conditions support a market-breadth rebound already underway.·
2026-10-08CBOE@monetarycomm+0.50Expects conditions to remain favorable for CBOE.+15.8%
2026-10-08·@monetarycomm·Argues AI agents will accelerate capital flows, amplify liquidity shocks, and raise the value of patient capital.·
2026-10-08·@monetarycomm·Briefly characterizes labor conditions as full employment.·
2026-10-07CFG@monetarycomm+0.50Seasonality model flags historically positive windows for CBOE and CFG for further research.·
2026-10-07CBOE@monetarycomm+0.45Seasonality model flags historically positive windows for CBOE and CFG for further research.+20.9%
2026-10-07·@monetarycomm·BLS data show hiring fell sharply since 2022 while layoffs barely increased.·
2026-10-06·@monetarycomm·Explains how mortgage lock-in weakened housing transmission during the tightening cycle.·

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.