Tuesday, September 1, 2026

USD/JPY Bullish By 3% In The Last 10 Sessions

USD/JPY Bullish By 3% In The Last 10 Sessions

(VIANEWS) - USD/JPY (USDJPY) has been up by 3.13% for the last 10 sessions. At 17:06 EST on Sunday, 24 March, USD/JPY (USDJPY) is $151.37.

USD/JPY's yearly highs and lows, it's 16.037% up from its 52-week low and 0.354% down from its 52-week high.

Volatility

USD/JPY's last week, last month's, and last quarter's current intraday variation average was 0.42%, 0.01%, and 0.36%, respectively.

USD/JPY's highest amplitude of average volatility was 0.51% (last week), 0.34% (last month), and 0.36% (last quarter), respectively.

Forex Price Classification

According to the stochastic oscillator, a useful indicator of overbought and oversold conditions, USD/JPY's Forex is considered to be oversold (<=20).

Previous days news about USD/JPY (USDJPY)

  • It is only a matter of time before usd/jpy makes new cyclical highs – BBH. According to FXStreet on Friday, 22 March, "Bottom line: we think it's only a matter of time before USD/JPY makes new cyclical highs."

More news about USD/JPY (USDJPY).

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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