Author
@hughesanalytics hughesanalytics
grade Ax.com/hughesanalytics ↗
Quant trader narrating a self-built ML long/short basket with AI-hardware depth
Runs and live-narrates an ML-driven multi-sector long/short
trader score
-0.80
hit rate
50%
mean α
-0.22%
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: 50% hit rate, -0.22% mean alpha, trader score -0.80. Their last-14d mentions, direction-adjusted, have moved +0.5% since posting (mean over 42 mentions with price data).
Recent signals15receipts included
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-08-27 | NVDA | @hughesanalytics | +0.00 | References an NVDA balance point visible only in the attached chart. | -4.6% | tweet ↗ |
| 2026-08-27 | MS | @hughesanalytics | -0.15 | Mocks the quality of estimates produced by someone employed at Morgan Stanley. | -0.0% | tweet ↗ |
| 2026-08-24 | · | @hughesanalytics | · | Author argues trader-focused SaaS has weak defensibility unless its technical moat is deep. | · | tweet ↗ |
| 2026-08-21 | SPY | @hughesanalytics | +0.30 | Neural-net signal flipped SPY from mildly bearish to mildly bullish and tagged it oversold. | +0.5% | tweet ↗ |
| 2026-08-20 | HON | @hughesanalytics | +0.00 | HON stands out in an industrials screen, but direction requires the chart. | -0.4% | tweet ↗ |
| 2026-08-20 | · | @hughesanalytics | · | Sector model improves for communications, staples and healthcare but worsens elsewhere. | · | tweet ↗ |
| 2026-08-20 | TLT | @hughesanalytics | +0.00 | ETF algorithm is focusing on GDX and TLT, but direction is only visible in the chart. | +0.7% | tweet ↗ |
| 2026-08-20 | GDX | @hughesanalytics | +0.00 | ETF algorithm is focusing on GDX and TLT, but direction is only visible in the chart. | -0.2% | tweet ↗ |
| 2026-08-20 | · | @hughesanalytics | · | Gold miners, healthcare and energy are leading an active session. | · | tweet ↗ |
| 2026-08-20 | DE | @hughesanalytics | +0.00 | Flags large opposite-direction anomalies in WMT and DE without specifying which is positive. | +1.5% | tweet ↗ |
| 2026-08-20 | WMT | @hughesanalytics | +0.00 | Flags large opposite-direction anomalies in WMT and DE without specifying which is positive. | -0.7% | tweet ↗ |
| 2026-08-20 | · | @hughesanalytics | · | Announces an incoming, less technology-heavy and more balanced model. | · | tweet ↗ |
| 2026-08-20 | ES_F | @hughesanalytics | -0.60 | Reports deeper downside trading and identifies support at 7631. | · | tweet ↗ |
| 2026-08-20 | · | @hughesanalytics | · | Reports a model running at about 70 tokens/sec on two R9700 GPUs and outperforming Qwen 3.6-35B Q8. | · | tweet ↗ |
| 2026-08-20 | MRK | @hughesanalytics | -0.30 | Says MRK is near a cycle high with multiple cycle peaks expected by the weekend. | -0.4% | 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.