Author
@macrotradecn macrotradecn
grade Ax.com/macrotradecn ↗
Anonymous flow-driven macro trader fluent in the AI compute supply chain across Asia and the US
Publishes original macro and thematic frameworks centered on
trader score
-0.32
hit rate
40%
mean α
-0.16%
signals 14d
58
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 20 scored bets: 40% hit rate, -0.16% mean alpha, trader score -0.32. Their last-14d mentions, direction-adjusted, have moved -5.2% since posting (mean over 6 mentions with price data).
Recent signals15receipts included
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-10-16 | · | @macrotradecn | · | Observes synchronized peaks and similar declines in an A-share index and lithium carbonate. | · | tweet ↗ |
| 2026-10-16 | · | @macrotradecn | · | Reports extreme panic readings in Chinese growth boards at the zero percentile. | · | tweet ↗ |
| 2026-10-15 | · | @macrotradecn | · | Compares Indonesia's 10% index decline to a debt-crisis rehearsal. | · | tweet ↗ |
| 2026-10-15 | · | @macrotradecn | · | Characterizes A-share speculation as shifting from Nvidia-linked themes to Musk-linked themes. | · | tweet ↗ |
| 2026-10-15 | · | @macrotradecn | · | Compares a prior post-holiday market high with today's nearly identical low. | · | tweet ↗ |
| 2026-10-14 | · | @macrotradecn | · | Blames a 90% collapse in Korean retail trading activity on constrained liquidity. | · | tweet ↗ |
| 2026-10-14 | · | @macrotradecn | · | Lists several unnamed thematic factors as rising or falling. | · | tweet ↗ |
| 2026-10-14 | · | @macrotradecn | · | Bullish wordplay celebrates a 110% one-year rise in Myanmar equities. | · | tweet ↗ |
| 2026-10-12 | · | @macrotradecn | · | Frames China A-shares as liquidity- and counterparty-driven, with scarce state monopolies the only value candidates. | · | tweet ↗ |
| 2026-10-12 | · | @macrotradecn | · | Uses account-participation figures to characterize A-shares as highly retail-driven and speculative. | · | tweet ↗ |
| 2026-10-12 | SPX | @macrotradecn | -0.20 | Notes narrow breadth and minimal hedge-fund longs despite the S&P 500 being at a record. | · | tweet ↗ |
| 2026-10-12 | · | @macrotradecn | · | Sarcastically disputes an AI bubble by noting limited gains in China's STAR 50 index. | · | tweet ↗ |
| 2026-10-12 | · | @macrotradecn | · | Cites broker research that insurance and fixed-income redemptions are key sellers with 20%-30% tech exposure unresolved. | · | tweet ↗ |
| 2026-10-11 | · | @macrotradecn | · | Argues dividend stocks, not technology, are driving the bull market. | · | tweet ↗ |
| 2026-10-11 | SPX | @macrotradecn | -0.15 | Reports that 45% of S&P 500 constituents have negative beta, an unprecedented divergence. | · | tweet ↗ |
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.