Ticker brief
AAON AAON INC
Industrial · Building Materials
last close
$107.62
1 day
-7.6%
14 days
-21.3%
mkt cap
$8.8B
signals 14d
8
authors 14d
7
Sentiment — last 14 days
daily mean sentiment, 2026-06-21 → 2026-07-03 · now +0.25 (−1 bearish … +1 bullish)
Who spoke7
| author | grade | trader score | signals | mean sent |
|---|---|---|---|---|
| @Markadiusz45 | C | -2.90 | 2 | +0.40 |
| @equitydd | C | +0.19 | 1 | +0.50 |
| @OptionsFlowBoss | C | · | 1 | +0.35 |
| @cfromhertz | B | +0.07 | 1 | +0.35 |
| @spluscollective | C | -2.80 | 1 | +0.35 |
| @Venu_7_ | B | -0.45 | 1 | +0.80 |
| @fj_nextstage | C | +1.07 | 1 | -0.15 |
Recent signals8of 8 in 14d — receipts included
| date (PT) | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|
| 2026-07-03 | @Markadiusz45 | +0.25 | Says AAON looks good, likely chart-based, but no trade intent is given. | — | tweet ↗ |
| 2026-07-01 | @fj_nextstage | -0.15 | CAN-SLIM screen added SNOW and removed AAON, COHR, TSM. | -7.6% | tweet ↗ |
| 2026-07-01 | @Markadiusz45 | +0.55 | AAON earnings winner touched 50SMA and printed tight inside day; looks good. | -7.6% | tweet ↗ |
| 2026-06-30 | @Venu_7_ | +0.80 | Bullish AAON AI data-center cooling thesis with beats, raised guidance, backlog and technical strength. | -15.2% | tweet ↗ |
| 2026-06-27 | @spluscollective | +0.35 | Bullet news summary mentions AAON data-center cooling growth and PNC record high. | -15.1% | tweet ↗ |
| 2026-06-25 | @cfromhertz | +0.35 | Industrial ETF AIRR breaking higher with components listed. | -19.2% | tweet ↗ |
| 2026-06-22 | @OptionsFlowBoss | +0.35 | Reports $195K call buyer in AAON options flow. | -21.0% | tweet ↗ |
| 2026-06-21 | @equitydd | +0.50 | Bullish thematic basket of construction, HVAC, infrastructure, and specialty materials stocks. | -21.3% | 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.