History · 3 years
Overview · Sentiment index · updated daily
About the TSMC Earnings Sentiment
Machine-learning signal tracking TSMC earnings sentiment and semiconductor foundry demand - measuring advanced node capacity commentary, geopolitical risk narratives, and AI chip production forecasts.
Equity sentiment readings are most actionable at the extremes and around earnings cycles. Awareness surges that are not matched by Sentiment moves often precede sharp directional breaks. Single-stock indicators are best read in conjunction with the broader S&P 500 Sentiment to isolate idiosyncratic versus macro-driven moves.
Key drivers
- Earnings estimates and revision trends
- VIX and options skew
- Sector rotation and fund flow data
- Macro data beats / misses relative to consensus
- Short interest and positioning reports
Reading the Sentiment scale
- 0-20Extreme BearishCoverage dominated by risk-aversion signals; narrative heavily skewed toward bearish conditions.
- 21-40BearishBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60NeutralBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80Now · 67BullishPositive momentum building in the narrative; coverage tilting toward bullish catalysts and upside scenarios.
- 81-100Extreme BullishElevated risk of mean-reversion. Watch for sentiment exhaustion signals and divergence from the Awareness score.
How to use this index
- Use the Sentiment score to gauge the prevailing narrative bias for TSMC at a glance.
- The Awareness score flags unusual spikes in coverage - early-warning signals that often precede price moves.
- Extreme readings (0-20 or 81-100) historically mark periods of heightened volatility and potential reversals.
- Compare across related topics to find cross-asset divergences and correlation breakdowns.
- Pro subscribers can view 3 years of history to calibrate thresholds against past market regimes.
This index is frequently referenced alongside tsmc earnings sentiment, semiconductor supply chain, ai chip manufacturing sentiment, internet earnings analysis, alternative data equities - helping traders and analysts track TSMC sentiment shifts in real time.
Latest news
TSMC in the news
The headlines feeding this index, newest first.
Intel Foundry Pricing Strategy and Customer Gains
Intel is suddenly trading like a company that may have found a customer before the foundry market found it.
Read moreSamsung, TSMC Expand Advanced Packaging in Japan
Samsung Electronics and Taiwan Semiconductor Manufacturing Co. are deepening their bets on Japan because the next bottleneck in AI chips is no longer just making smaller transistors — it is how to package and connect them, and Japan controls much of the materials and equipment needed to do it.
Read moreSamsung Foundry Push Gains as TSMC Capacity Tightens
Samsung Electronics is leaning harder into the one opportunity that could reshape the chipmaking hierarchy for years: TSMC’s inability to satisfy booming demand for leading-edge wafers fast enough.
Read moreTSMC Revenue Rises on AI Chip Demand
Taiwan Semiconductor Manufacturing Co. is positioned to keep compounding investor gains as artificial intelligence spending from the biggest technology companies feeds demand for the advanced chips it makes.
Read moreMeta plans custom AI chip for 2027 deployment
Meta Platforms is aiming to start deploying a new AI chip made by Taiwan Semiconductor Manufacturing Co. in the first half of 2027, a move that could help the social media giant trim its ballooning infrastructure bill and reduce reliance on Nvidia’s costly processors.
Read moreChina Growth Outpaces FXI and MCHI Equities
China’s economy is still expanding at a pace that would make most developed markets envious, but the investment case for Chinese equities remains far less compelling than the country’s long arc of economic ascent suggests.
Read moreGoogle Tensor G6 Heads for TSMC 3nm
Google’s new Tensor G6 appears to be headed for TSMC’s 3nm manufacturing process rather than the more advanced 2nm node that rumors had suggested, a reminder that in semiconductors, execution and yield still matter more than marketing buzz.
Read moreTSMC August revenue hits record on AI demand
Taiwan Semiconductor Manufacturing Co. said August revenue rose to a record on strong demand for AI chips and smartphones, underscoring that the world’s largest contract chipmaker is still benefiting from the spending cycle that has powered the semiconductor rally.
Read moreTSMC Advances Next Node as AI Demand Stays Strong
TSMC is moving its next flagship manufacturing node forward, a sign the AI chip boom is pulling the world’s most important foundry into an even faster investment cycle just as demand for advanced semiconductors keeps outrunning supply.
Read moreTSMC August revenue jumps 53.3% on AI demand
Taiwan Semiconductor Manufacturing Co. posted a 53.3% surge in August revenue from a year earlier, underscoring that artificial intelligence spending is still translating into heavy foundry demand even as the broader chip cycle remains uneven.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the TSMC index?
Machine-learning signal tracking TSMC earnings sentiment and semiconductor foundry demand - measuring advanced node capacity commentary, geopolitical risk narratives, and AI chip production forecasts.
How is the TSMC index calculated?
The TSMC index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Extreme Bearish) to 100 (Extreme Bullish), where 50 represents neutral conditions. Awareness scores capture the volume and breadth of coverage for this topic across the media landscape.
How often is the TSMC index updated?
The underlying data pipeline runs once per day. However, the gauge and score displayed on this page reflect a processed snapshot that may be 3–24 hours behind real-time, depending on the topic's update cadence and how quickly new data clears the processing pipeline. The exact timestamp of the data shown is visible in the gauge footer - hover the info icon to see it in your local time.
Why does the gauge show data from a few hours ago?
The gauge reflects a processed data snapshot, not a live feed. Depending on the topic, displayed values can be 3–24 hours behind real-time - fast-moving topics (crypto, equities) update more frequently, while slower-cycle topics (macro, real estate, geopolitics) may have a longer lag. The precise data timestamp is always visible in the gauge footer: hover the info icon to see it in your local time.
Why use sentiment analysis?
Sentiment uses natural language processing to analyze and quantify investors' opinions, which is different from traditional indicators like volatility (VIX), volume, or price trends. This gives you an edge over others who rely solely on price-based data.
How to interpret the figures?
The gauges show the latest indicator percentiles for the last two quarters. Values above 50 mean an upward trend, while below 50 means a downward trend. A reading above 70% signals greed, and below 30% signals fear. When price and sentiment trends diverge, it's a strong sign the trend will continue.
What does awareness represent?
Besides sentiment, we also provide a measurement of awareness - an indicator of media activity expressed as a ratio of topic-dedicated data compared to the total. Values over 50 indicate an increasing media trend and growing investors' interest; less than 50 signals decreasing attention.
What is sentiment analysis and why measure it?
Sentiment analysis is a way to determine whether a piece of text is positive, negative, or neutral. It helps understand how people feel about a topic or product, which is very important for investment, revenue management, and gauging public opinion. It adds important data points to the decision process and is valuable input for many statistical and AI models.
What are some of the key data characteristics?
Raw signals are gathered from proprietary sources covering over 50,000 outlets and ingested every 15 minutes. Processed gauge readings are derived from these signals but are displayed with a delay of 3–24 hours depending on the topic - the exact data timestamp is always shown in the gauge footer. The platform includes 5 years of history, supports 72 languages, and processes over 1 million unique entries daily. Adalytica maintains over 99.5% uptime across all products and data services.
Who benefits the most from the sentiment data?
The products are widely used across various industries, including finance, real estate, cryptocurrency, commodities, and government. They provide tailored insights for tasks like tracking voter sentiment, optimizing investment strategies, or monitoring brand perception. We offer products that are tailored for both beginners and advanced data professionals.