Ticker brief
BBAR BBVA ARGENTINA SA-ADR
Financial · Banks
last close
$13.17
1 day
+5.4%
14 days
+4.1%
mkt cap
$4.0B
signals 14d
6
authors 14d
4
crowd 14d
+0.0σ
Options inteloptions-surface reads · latest available day per source
| metric | reading | context |
|---|---|---|
| IV — ATM 30d | 48% | IV/HV 1.17× (as of 2026-07-15) |
| Skew — 25Δ RR 30d | -0.067 | 25Δ call IV − put IV |
| Net dealer OI (NDOI) | +0.28 thin | 5-session Δ +0.17 (as of 2026-01-21) |
| OI alarm | quiet | last alarm 2026-06-08 (z=2.2) |
Sentiment — last 14 days
daily mean sentiment, 2026-10-05 → 2026-10-14 · now -0.23 (−1 bearish … +1 bullish)
Who spoke4
| author | grade | trader score | signals | mean sent |
|---|---|---|---|---|
| @robertojirusta | C | -0.38 | 3 | +0.23 |
| @jpmarino79 | C | -0.38 | 1 | +0.35 |
| @porquettfin | C | -1.14 | 1 | +0.55 |
| @tebb29 | C | +0.38 | 1 | -0.20 |
Recent signals6of 6 in 14d — receipts included
| date (PT) | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|
| 2026-10-14 | @robertojirusta | -0.25 | Links hot US CPI, high Treasury yields and Argentine rollover risk to local banks and bonds. | +5.3% | tweet ↗ |
| 2026-10-14 | @tebb29 | -0.20 | UBS cut targets on three Argentine banks while maintaining two Neutral ratings and one Buy. | +5.3% | tweet ↗ |
| 2026-10-07 | @robertojirusta | +0.40 | Analyst roundup reports Buy/Overweight ratings and targets across Argentine equities. | +1.5% | tweet ↗ |
| 2026-10-05 | @robertojirusta | +0.55 | Reports sizable gains for MELI and BBAR. | -0.8% | tweet ↗ |
| 2026-10-05 | @porquettfin | +0.55 | Frames synchronized regional gains as a repricing of Argentine and Brazilian risk. | -0.8% | tweet ↗ |
| 2026-10-05 | @jpmarino79 | +0.35 | Reports broad premarket gains of up to 8.4% across Argentine equities. | -0.8% | 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.