Tuesday, September 1, 2026

CBOE Over 15% Up In The Last 21 Sessions

ViaNews Editorial Team

August 23, 2023

CBOE Over 15% Up In The Last 21 Sessions

(VIANEWS) - CBOE (VIX) has been up by 15.3% for the last 21 sessions. At 17:08 EST on Wednesday, 23 August, CBOE (VIX) is $15.98.

Concerning CBOE's yearly highs and lows, it's 2.9% up from its 52-week low and 54.41% down from its 52-week high.

Volatility

CBOE's last week, last month's, and last quarter's current intraday variation average was 0.32%, 1.08%, and 4.00%, respectively.

CBOE's highest amplitude of average volatility was 2.99% (last week), 4.37% (last month), and 4.00% (last quarter), respectively.

Index Price Classification

According to the stochastic oscillator, a useful indicator of overbought and oversold conditions, CBOE's is considered to be overbought (>=80).

News about

  • According to FXStreet on Monday, 21 August, "Stock Market Report: Trading NASDAQ Stocks: Apple (AAPL),Tesla (TSLA), Amazon (AMZN), Nvidia (NVDA), Microsoft MSFT, Meta Platforms, Netflix (NFLX), Alphabet GOOGL. ", "00:00 NASDAQ 100 04:33 Apple (AAPL) 11:00 Amazon (AMZN) 13:04 NVIDIA (NVDA) 15:53 Meta Platforms (META) 20:19 Netflix (NFLX) 23:19 Alphabet (GOOGL) 26:23 Microsoft MSFT 29:25 Tesla (TSLA)"

More news about CBOE (VIX).

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ViaNews Editorial Team

Via News Editorial Team delivers comprehensive financial news coverage and market analysis from journalists around the world. Our team specializes in data journalism and in-depth reporting on stock markets, business developments, and economic trends.

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AI Capital Surge: Late-August 2026 Funding Wave Spans Fintech, Enterprise Agents, and Robotics
A dense cluster of funding rounds landing on 2026-08-28 — from identity/fraud fintech player Socure ($156M plus its acquisition of Fravity) to enterprise AI agent startups (Instinct, Generalist AI, Owner), model infrastructure (Stability AI, Emerald AI), and autonomous logistics/aerospace (Gatik, Regent Craft) — signals investors are rotating aggressively into AI-native companies with demonstrable ROI, especially in financial risk/compliance and back-office automation. Parallel signals (Multiverse Computing's compression benchmarks cutting inference cost/latency, and Arkestro/CloneOps.ai publishing hard savings and labor-displacement figures) suggest the funding is chasing efficiency and measurable economic impact rather than pure model scale.
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