🎙️Pre-Earnings Confidence Radar — Read Between the Lines of Company Leadership
Pre-Earnings Confidence Radar — Read Between the Lines of Company Leadership
Four times a year, company leadership sits down for an hour-long call with analysts to discuss performance and future plans — the earnings call. Most investors focus only on the headline numbers, but the real gold lies in how the leadership speaks, not just what they say. The Transcripts / Pre-Earnings Confidence Radar (/transcripts) tab extracts signals from call transcripts using AI, saving you from manually reading through hundreds of pages.
---
What is an earnings call and why is tone a signal
An earnings call is a quarterly call where the CEO and CFO provide commentary and then answer live questions from analysts without a rehearsed script. The prepared presentation is polished PR. But when an analyst presses on a weakening margin, the way the response is delivered reveals true confidence:
- Evasive, vague answers (“we’ll get back to that,” “I don’t want to predict”) = caution, possibly masking.
- Confident, specific outlook with numbers = leadership knows where they’re headed.
- Nervous hedging around a topic = a weakness the market hasn’t priced in yet.
- Change in tone between quarters — from enthusiasm to “calibrating expectations” = warning.
★ Insight: The tone of leadership is a “soft” signal that’s hard to fake over the long term. Numbers can be polished for a one-time shine, but consistent confidence (or lack thereof) in live responses is costly to pretend.
---
What AI extracts from the transcript
executive_confidence(0–100) — how confidently leadership speaks about the future.guidance_clarity(0–100) — how specific the outlook is. Note: clarity ≠ optimism (a company can clearly communicate a bad outlook).ai_sentiment(−1 to +1) — overall emotional tone.ceo_truthfulness— estimate of consistency (not a lie detector).risk_mentions/opportunity_mentions(counts) — shifts in the ratio between quarters are more interesting than absolute numbers.key_topics— main topics.
⚠️ WARNING about scales — don’t mix them.executive_confidenceandguidance_clarityare 0–100.ai_sentimentis −1 to +1. Confidence 78 and sentiment 0.4 are in two different worlds. Mixing them (e.g., ×100 on sentiment) results in nonsense.
---
Four Baskets
1. PEAD candidates — strong beat + high confidence + clear outlook.
2. Quality compounders — long-term high stable confidence across quarters.
3. Caution / Trim — drop in confidence, evasive outlook, increase in risks → yellow flag, investigate (not an automatic sell).
4. Recent beats — who just delivered.
★ Insight: Baskets are not recommendations — they are attention filters. The PEAD basket doesn’t say “buy,” it says “look at the fundamentals and catalyst calendar.” It narrows 500 companies down to 15.
---
What is PEAD and why the radar is based on it
PEAD = Post-Earnings Announcement Drift — after a strong surprise, the price “drifts” in that direction for weeks. The radar expands on this: a PEAD candidate with high confidence + clear outlook has a higher chance that the drift continues (confident management signals that the beat wasn’t a one-time fluke).
---
Radar NEVER solo — connect to fundamentals
Radar is context, not a standalone signal. Tone tells you how management perceives the situation. It doesn’t tell you if the company is cheap or generating cash. A confident CEO of an overpriced company burning cash is still the CEO of an overpriced company burning cash.
It serves best as the final layer of context over fundamentals: the company passes the filter (5 pillars) → radar tells if the call supported or questioned the thesis.
★ Insight: Soft signals are most valuable as a tiebreaker (two similar companies → tone decides) and as an early warning (drop in confidence + rise in risks = warning before it shows in the numbers).
---
Connection: Transcripts → ATS → Catalyst Calendar
Data feeds the ATS pillar (part of SENTIMENT) on the stock detail. The Catalyst Calendar shows upcoming earnings → together they form a loop (calendar = when reporting, radar = how it sounded).
---
Practical Steps
- Notice an interesting ATS score.
/transcripts— confidence, clarity, sentiment, basket.- Check fundamentals (5 pillars) — radar is context.
- Catalyst Calendar — when the next report is.
- Decision on confluence, not on one number.
Tips
- Watch the change, not the absolute value (confidence 70 after previous 85 is worse than a stable 65).
- The ratio of risk/opportunity mentions is a sensitive barometer.
- Caution/Trim = “investigate,” not “sell.”
- Combine clarity and sentiment (a clear outlook can be clearly bad).
- For PEAD candidates, verify the quality of the beat (one-time tax relief ≠ revenue growth).
Common Mistakes
Overvaluing a single call · ignoring fundamentals · mixing scales (0–100 vs −1..+1) · taking AI analysis as absolute truth · entering blindly before a report.
---
Summary
The Pre-Earnings Confidence Radar makes visible what analysts have been manually reading for years: how leadership truly perceives their future — confidence, clarity of outlook, sentiment in live responses. Its strength isn’t in telling you what to buy — it’s in adding a layer of context to fundamentals, feeding the ATS pillar, complementing the Catalyst Calendar, and serving as a tiebreaker and early warning. Solo is a trap; as the final layer of confluence, it’s a tool for institutions.
---
Analytical and educational description of the QMA tool, not an investment recommendation. AI analysis of transcripts may contain errors — it serves as one of the inputs, not a replacement for your own decision-making. Verify against fundamentals; consider consulting a licensed advisor.
Now try it live
Open this tab in the platform and apply what you just learned — step by step on real data.
Want to know more? Ask the QMA Research Assistant
The Research Assistant knows the whole platform and its data. If the answer is not in the QMA database, it looks it up and explains it in plain language. It is an analytical and educational tool, not investment advice.
Open the Research Assistant →Related articles
Jak QMA prochází tisíce akcií z amerických burz: data, 5 pilířů, známka A++ až F, QMA Brain a upozornění. Lidsky, krok za krokem, bez slibů výnosů.
4 minA rocket doesn't launch just because you want it to — it needs fuel, weather, and a crew. Brain is a multi-agent organism that assembles dozens of these variables into a single picture in a timeframe that a single human physically cannot manage.
6 minThe QMA screener holds thousands of stocks and dozens of columns — but once you know what each one means and why it matters, you can narrow the whole market to a handful of quality candidates in minutes. A practical, plain-language guide to every column plus a simple workflow.
6 minA screener is your intelligent sieve for the entire U.S. market. Learn to combine filters, read the Composite score, and track smart money so that you can extract only those stocks with the strongest setups from thousands.
15 minSee it live: QMA scores 17,000+ stocks for you
Full access to the 5-pillar analysis, smart-money data and the whole-market screener. No commitment, cancel anytime.
QMA Brain – free weekly recap
One email a week with a descriptive recap. Unsubscribe anytime.
7 days of Elite free, no card
The account is free to open and needs no card. For that time the account has full Elite access.
Create a free accountContent created by AI in collaboration with Jaroslav Vojtášek. Not investment advice. The author may hold the stocks mentioned. Investing involves risk of loss.
Operator: Jaroslav Vojtášek, Company ID (IČO) 48783447.