Ticker brief
A AGILENT TECHNOLOGIES INC
Consumer, Non-cyclical · Healthcare-Products
last close
$173.07
1 day
-0.5%
14 days
+1.5%
mkt cap
$36.9B
signals 14d
5
authors 14d
4
crowd 14d
+0.7σ
Options inteloptions-surface reads · latest available day per source
| metric | reading | context |
|---|---|---|
| IV — ATM 30d | 38% rich · 93 pctile own 1y | IV/HV 1.27× (as of 2026-10-22) |
| Skew — 25Δ RR 30d | -0.020 74 pctile own 1y | balanced vs own range |
| Net dealer OI (NDOI) | +0.13 normal | 5-session Δ -0.08 (as of 2026-07-06) |
| OI alarm | quiet | last alarm 2026-05-29 (z=2.8) |
Sentiment — last 14 days
daily mean sentiment, 2026-10-05 → 2026-10-14 · now +0.10 (−1 bearish … +1 bullish)
Who spoke4
| author | grade | trader score | signals | mean sent |
|---|---|---|---|---|
| @TheLAPurchaser | A | +0.30 | 2 | +0.65 |
| @benitoz | B | -2.30 | 1 | +0.55 |
| @artinmemes | C | +1.04 | 1 | +0.35 |
| @FXCMOfficial | C | -2.08 | 1 | +0.10 |
Recent signals5of 5 in 14d — receipts included
| date (PT) | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|
| 2026-10-14 | @FXCMOfficial | +0.10 | Names three hot stocks selected from a combined ratings and signals score. | -0.5% | tweet ↗ |
| 2026-10-08 | @artinmemes | +0.35 | The author presents a bullish basket of life-science suppliers positioned around the AI-drug-discovery bottleneck. | +2.9% | tweet ↗ |
| 2026-10-06 | @TheLAPurchaser | +0.60 | Relays Goldman's view that Agilent is well positioned for autonomous-lab adoption. | +2.2% | tweet ↗ |
| 2026-10-06 | @TheLAPurchaser | +0.70 | Names Agilent as the author's favorite nonspeculative AI beneficiary and supplies a segment thesis. | +2.2% | tweet ↗ |
| 2026-10-05 | @benitoz | +0.55 | Presents a 20-name AI-biology research basket; ticker cap preserves input order. | +1.0% | tweet ↗ |
“Since then” = price move from the close on the signal's date (PT) to the latest close — what happened after they said it, not a backtest. A — means no trading session has closed since the signal yet. Sentiment is our extracted per-tweet score, −1…+1.