VANG US MID C ETF U A (VRME:NASDAQ)
$1.65 -0.16 (-8.8398%)
Analysed VANG US MID C ETF U A (VRME:NASDAQ) News Sources
Society Pass Incorporated (SOPA) Reports Q3 Loss, Lags Revenue Estimates
14-11-2025
yahoo.com
VerifyMe, Inc. (VRME) Reports Q3 Loss, Tops Revenue Estimates
14-11-2025
yahoo.com
Dave Stock Soars 127% in YTD: Is This the Right Time to Invest?
11-12-2025
yahoo.com
Top Midday Gainers
05-01-2026
yahoo.com
Open World and VerifyMe Sign Merger Agreement
12-02-2026
yahoo.com
PeriShip Weather Forecasting Reduces Risk for Parcel Shippers of Perishable Goods During Summer Heat
25-06-2026
yahoo.com
VerifyMe Reports Second Quarter 2026 Financial Results
14-08-2026
yahoo.com
VerifyMe Urges Shareholders to Vote "For" Proposal 6 to Advance Proposed Figure OPEN Listing
17-09-2026
yahoo.com
VerifyMe Declares Special Dividend
18-09-2026
yahoo.com
VerifyMe Announces Reverse Stock Split of the Company’s Common Stock
25-09-2026
yahoo.com
What is the current price of VANG US MID C ETF U A (VRME:NASDAQ)?
The current price of VANG US MID C ETF U A (VRME:NASDAQ) is $1.65.
VANG US MID C ETF U A (VRME:NASDAQ) absolute price change since previous trading day?
The absolute price change of VANG US MID C ETF U A (VRME:NASDAQ) since the previous trading day is $-0.16.
VANG US MID C ETF U A (VRME:NASDAQ) percentage price change since previous trading day?
The percentage price change of VANG US MID C ETF U A (VRME:NASDAQ) since the previous trading day is -8.8398%.
What is the most recent average sentiment score for VANG US MID C ETF U A (VRME:NASDAQ)?
The most recent average sentiment score for VANG US MID C ETF U A (VRME:NASDAQ) is 37 out of 100.
What is the most recent average sentiment for VANG US MID C ETF U A (VRME:NASDAQ)?
The most recent sentiment for VANG US MID C ETF U A (VRME:NASDAQ) is .
SEC-8K** Filing Available For VANG US MID C ETF U A (VRME:NASDAQ)
** material developments that could impact a company's financial condition or stock price.
Author: MattELab
MattELab is the founder and lead developer of SentientMerchant. With a Computer Science and Quantitative Finance background from a T10 university, he brings over 6 years of expertise in NLP, programmatic SEO, and full-stack development to build highly scalable AI and FinTech solutions.