Ticker brief
VIG
last close
·
1 day
·
14 days
·
mkt cap
·
signals 14d
7
authors 14d
7
crowd 14d
-2.2σ
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, 2026-08-16 → 2026-08-24 · now +0.12 (−1 bearish … +1 bullish)
Who spoke7
| author | grade | trader score | signals | mean sent |
|---|---|---|---|---|
| @bugra_kurtoglu | C | +1.08 | 1 | -0.55 |
| @IncomeETFDaily | C | -1.20 | 1 | +0.00 |
| @rklb_invest | B | +2.29 | 1 | -0.25 |
| @WallStDiaries | C | -0.20 | 1 | +0.25 |
| @Benzinga | C | +0.89 | 1 | -0.30 |
| @Maggie191919 | B | +0.55 | 1 | -0.10 |
| @cnfinancewatch | B | -1.92 | 1 | +0.75 |
Recent signals7of 7 in 14d — receipts included
| date (PT) | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|
| 2026-08-24 | @cnfinancewatch | +0.75 | Presents VIG as a defensive 5-10 year core holding with dividend growth and low fees. | · | tweet ↗ |
| 2026-08-24 | @Maggie191919 | -0.10 | Reports Trump's filing showing repeated PLTR trades and reduced VIG exposure | · | tweet ↗ |
| 2026-08-24 | @Benzinga | -0.30 | Trump's disclosed accounts bought four equities and sold a large VIG stake. | · | tweet ↗ |
| 2026-08-23 | @WallStDiaries | +0.25 | Reports Trump made over 1,000 transactions and centered his portfolio on dividend-growth ETF VIG. | · | tweet ↗ |
| 2026-08-22 | @rklb_invest | -0.25 | Reconstructs Trump's June trades as a rotation from dividends and energy toward Treasuries, rate-sensitive stocks and AI infrastructure. | · | tweet ↗ |
| 2026-08-21 | @IncomeETFDaily | +0.00 | Lists VIG's largest holdings and their portfolio weights. | · | tweet ↗ |
| 2026-08-16 | @bugra_kurtoglu | -0.55 | Calls DGRO a second favorite and explicitly dislikes VIG. | · | 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.