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Market Snapshot
Headline Takeaway:
(TER) is seeing strong fundamentals but weak technicals, with an internal diagnostic score of 3.39 suggesting caution for short-term traders.
News Highlights
Recent news from the semiconductor industry highlights both challenges and opportunities for Teradyne:
- India's semiconductor market is expected to grow two-fold to $100-110 billion by 2030, driven by government initiatives and global demand. This could benefit global semiconductor companies, including Teradyne.
- TSMC, the world's largest chipmaker, recently fired two employees for suspected theft of trade secrets. This reinforces the growing focus on IP security and could increase demand for advanced manufacturing equipment.
- U.S. tariffs on semiconductors under potential Trump proposals could impact Taiwan's economy and indirectly affect global chipmakers, including Teradyne.
Analyst Views & Fundamentals
Average Rating Score: 3.80 (simple mean)
Weighted Rating Score: 3.81 (performance-weighted)
Rating Consistency: Consistent, with 3 “Neutral” and 2 “Strong Buy” ratings in the last 20 days. This suggests cautious optimism in the broader market.
How This Aligns with Price Trend: The stock is currently in an upward price trend (14.94%), matching the relatively neutral to bullish ratings. However, the high number of bearish technical indicators (5 vs. 2 bullish) may limit upside potential near-term.
Key Fundamental Factor Values (with internal diagnostic scores):
- Gross Profit Margin (GPM): 58.94% – internal diagnostic score 3
- Operating Cash Flow per Share (YoY growth): 21.18% – internal diagnostic score 1
- Net Profit Margin: 100.00% – internal diagnostic score 1
- Cost of Sales Ratio: 41.06% – internal diagnostic score 1
- Interest Coverage Ratio (EBIT/Interest Expense): -86.75% – internal diagnostic score 2
Money-Flow Trends
Money-flow data indicates mixed behavior across investor segments:
- Big-money (block) inflow ratio: 39.77% – trending negative
- Medium inflow ratio: 50.46% – trending positive
- Overall inflow ratio: 41.15% – trending negative
With a fund-flow score of 6.79 (rated “good”), there's divergence between large institutional and retail investor behavior. Large investors are pulling back, while medium-sized investors continue to show cautious optimism.
Key Technical Signals
Technical indicators suggest caution for short-term traders, with more bearish than bullish signals:
- RSI Overbought: internal diagnostic score 1 – historically associated with negative returns.
- Long Lower Shadow: internal diagnostic score 1 – bearish candlestick pattern.
- MACD Golden Cross: internal diagnostic score 1 – typically a bullish signal, but performing negatively historically in this context.
- Bullish Engulfing: internal diagnostic score 7.89 – strong positive candlestick pattern.
- Earnings Release Date: internal diagnostic score 8.13 – historically associated with strong price performance post-earnings.
Recent Chart Patterns (July 30–August 4):
- July 30: WR Overbought, Long Lower Shadow, RSI Overbought, MACD Golden Cross, and Earnings Release Date were all flagged — suggesting a complex mix of bearish and bullish signals.
- July 31: Long Upper Shadow, RSI Overbought, and Shooting Star added to the bearish momentum.
- July 17: A Bullish Engulfing pattern was noted — a positive sign for short-term traders.
Key Insight: The technical analysis suggests a weak trend with bearish indicators dominating (5 vs. 2 bullish), and market sentiment appears to be in a neutral to bearish range.
Conclusion
Teradyne is in a tricky situation: fundamentals are strong with an internal diagnostic score of 6.9, while technicals are weak with a score of 3.39. The earnings event on July 30 may have provided a short-term boost, but the recent bearish candlestick patterns and mixed money-flow signals suggest traders should remain cautious.
Actionable Takeaway: Consider waiting for a pull-back after the next earnings release before committing to a long position. For now, monitor the RSI and MACD indicators for potential reversal signals.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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