Ticker brief
DLTR DOLLAR TREE INC
Consumer, Cyclical · Retail
last close
$125.31
1 day
-4.4%
14 days
+5.6%
mkt cap
$23.8B
signals 14d
5
authors 14d
5
crowd 14d
+1.5σ
Options inteloptions-surface reads · latest available day per source
| metric | reading | context |
|---|---|---|
| IV — ATM 30d | 38% mid · 39 pctile own 1y | IV/HV 1.14× (as of 2026-10-16) |
| Skew — 25Δ RR 30d | -0.004 89 pctile own 1y | calls bid vs puts (call skew rich) |
| Net dealer OI (NDOI) | +1.41 elevated | 5-session Δ +0.45 (as of 2026-07-16) |
| OI alarm | quiet | last alarm 2025-10-09 (z=2.5) |
Sentiment — last 14 days
daily mean sentiment, 2026-10-03 → 2026-10-14 · now +0.30 (−1 bearish … +1 bullish)
Who spoke5
| author | grade | trader score | signals | mean sent |
|---|---|---|---|---|
| @TradewithJade1 | C | -0.81 | 1 | +0.45 |
| @financespotnews | C | +0.40 | 1 | +0.50 |
| @ElliottWaveSage | C | +0.28 | 1 | +0.05 |
| @StockWorthyApp | C | -0.77 | 1 | +0.30 |
| @AryaFintech | C | -1.41 | 1 | +0.35 |
Recent signals5of 5 in 14d — receipts included
| date (PT) | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|
| 2026-10-14 | @AryaFintech | +0.35 | Lists the five largest S&P 500 gainers and their daily advances. | +2.9% | tweet ↗ |
| 2026-10-14 | @StockWorthyApp | +0.30 | Lists the day's most-searched gainers and decliners with percentage moves. | +2.9% | tweet ↗ |
| 2026-10-14 | @ElliottWaveSage | +0.05 | Quantified daily-movers roundup; Dell includes a Reuters-reported Barclays downgrade. | +2.9% | tweet ↗ |
| 2026-10-14 | @financespotnews | +0.50 | Dollar Tree leads the S&P after forecasting FY2026 profit above estimates. | +2.9% | tweet ↗ |
| 2026-10-03 | @TradewithJade1 | +0.45 | Provides a potential DLTR objective range of $150–$155 without stating an entry action. | +11.7% | 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.