TER — Teradyne, Inc.

Is TER overbought or oversold? Here is the current MarketMoodz read.

Technology · Semiconductor Equipment & Materials

Overbought As of August 19, 2026

Teradyne, Inc. (TER) currently reads Overbought on the MarketMoodz overbought/oversold meter, as of August 19, 2026. The Technology name (Semiconductor Equipment & Materials) last closed at $404.29. The rating moved from Neutral to Overbought on August 12, 2026.

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AI analysis

Teradyne benefits from structural AI-led strength in semiconductor testing and a growing industrial-robotics franchise, supported by strong technology positioning and cash generation. Near-term upside is underpinned by constructive market sentiment toward AI/hardware names and potential order acceleration from hyperscalers and AI model providers. Key challenges include the semiconductor industry's cyclical ordering patterns, customer concentration, export-control uncertainties tied to China, and sensitivity to macro rates and geopolitical headlines. Monitor incoming earnings, order backlog trends, and commentary from major customers for confirmation of durable demand and margin sustainability.

Key factors

  • Direct exposure to semiconductor test equipment demand which benefits from increased AI/model training and hyperscaler capex
  • Market share and technical leadership in automated test equipment (ATE) supporting logic and memory vendors
  • Diversification into industrial automation (collaborative robots) adds a recurring, higher-margin growth leg
  • Constructive near-term market sentiment toward AI-hardware names and reduced hedging on social channels
  • Solid cash-generation profile historically, enabling R&D investment and selective M&A to sustain competitive edge

Risks

  • Pronounced semiconductor-cycle sensitivity; a downturn in fab spending would materially depress orders
  • Customer concentration and procurement timing from large foundries/hyperscalers can create lumpy revenue
  • Geopolitical and export-control developments (China access/workarounds) could disrupt end markets or limit sales
  • Valuation and stock sensitivity to moves in long-term yields and risk-on/risk-off sentiment
  • Execution risk integrating robotics assets and converting industrial pipeline into sustainable revenue
  • Near-term compute demand volatility from AI safety incidents or training pauses that temporarily reduce chip/test needs

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