Ticker brief
AIG
last close
·
1 day
·
14 days
·
mkt cap
·
signals 14d
7
authors 14d
6
crowd 14d
-0.7σ
No price history on file for this name (likely non-equity or unlisted) — the “since then” column below stays blank.
Sentiment — last 14 days
daily mean sentiment, 2026-10-05 → 2026-10-16 · now +0.10 (−1 bearish … +1 bullish)
Who spoke6
| author | grade | trader score | signals | mean sent |
|---|---|---|---|---|
| @InvestiBrew | A | -0.45 | 2 | -0.47 |
| @EricBalchunas | A | +0.31 | 1 | +0.25 |
| @VladBastion | B | -0.16 | 1 | -0.25 |
| @SpecialSitsNews | B | -2.08 | 1 | -0.50 |
| @RobertDurant7 | C | -2.88 | 1 | -0.20 |
| @d_pavlos | C | -0.43 | 1 | +0.10 |
Recent signals7of 7 in 14d — receipts included
| date (PT) | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|
| 2026-10-16 | @d_pavlos | +0.10 | Identifies resistance, pullback and breakout levels while remaining cautious at the old ceiling. | · | tweet ↗ |
| 2026-10-14 | @RobertDurant7 | -0.20 | Compares current AI-related companies with major failures from the financial crisis to argue severe downside. | · | tweet ↗ |
| 2026-10-13 | @SpecialSitsNews | -0.50 | Breadth data show 134 S&P 500 constituents are in drawdowns of at least 40%. | · | tweet ↗ |
| 2026-10-09 | @VladBastion | -0.25 | Notes AIG remains below its 2000 peak after substantial share dilution. | · | tweet ↗ |
| 2026-10-06 | @InvestiBrew | -0.30 | Warns that global GPU financing and rapid chip depreciation could resemble subprime systemic risk. | · | tweet ↗ |
| 2026-10-05 | @EricBalchunas | +0.25 | Notes AIG ranks second and has attracted multiple legacy value managers. | · | tweet ↗ |
| 2026-10-05 | @InvestiBrew | -0.65 | Warns AI-financing stress could produce roughly $9.25T of risk and spread into the financial system. | · | 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.