CYAB:NASDAQ, Cyabra Inc.
Why CYAB stock fell on November 5
Cyabra Inc. fell 10.0%
on Thursday, November 5, 2026, on 1,179,800 shares.
No headline about CYAB came out that day or the day before in the news feeds we follow, so the move may come from news we don't track, the sector or trading alone.
CYAB stock overview
Cyabra Inc. (CYAB:NASDAQ) closed at $0.080 on November 11, 2026,
down 4.76% on the day.
It is trading at its 52-week low of $0.080.
Over the past year, it lost 97.7%.
Cyabra Inc. is part of the Technology sector.
Key figures
- Price
- $0.080
- Day change
- -4.76%
- Volume
- 304,078
- Average volume
- 7,755,470
- Market cap
- 2M+
- 52-week range
- $0.080 – $6.20
- 50-day average
- $0.212
- 200-day average
- $0.533
Price action over the past year
In 157 trading sessions since March 30, 2026, CYAB closed higher on 46 days (29%).
Its best day was August 28, 2026 (+45.16%) and its worst was March 30, 2026 (-35.23%).
The stock moved 10% or more in a single session 29 times.
It opened at least 5% above the previous day's high 2 times.
Recent signals
CYAB news
-
Nov 6, 2026:
Cyabra Secures Six-Figure Agreement with Major Media Company to Detect Coordinated Online Manipulation
-
Nov 2, 2026:
Cyabra Secures Six-Figure Southeast Asian Government Contract for AI Intelligence Platform
-
Nov 2, 2026:
Cyabra Secures Six-Figure Contract with Leading Southeast Asian National Investigative Agency, Expanding Asia-Pacific Government Footprint
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Oct 29, 2026:
Cyabra Co-Founder and Chief Executive Officer Dan Brahmy Featured on "The Big Biz Show"
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Oct 29, 2026:
Cyabra Co-Founder and Chief Executive Officer Dan Brahmy Featured on “The Big Biz Show”
-
Oct 28, 2026:
Cyabra Finds Coordinated Inauthentic Activity in Five of Six Competitive Midterm Races, Affecting Candidates from Both Parties
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Oct 21, 2026:
Cyabra Named a Sample Vendor in 10 Gartner Hype Cycle Reports
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Oct 21, 2026:
Cyabra Named a Sample Vendor in 10 Gartner® Hype Cycle™ Reports
About Cyabra Inc.
Cyabra is an AI-powered SaaS company that detects and analyzes online disinformation. Its platform uses machine learning to monitor social media and news data in real time, identify fake accounts and harmful narratives, and assess content authenticity and sentiment.
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Based on end-of-day data. For information only, not investment advice.