📂 TUESDAY – Single-Stock Deep Dive: “Earnings Drift Exploitation Framework”

Even when earnings season cools down, post-earnings drift remains one of the most reliable inefficiencies in public markets. Some stocks consistently trend in the direction of their initial earnings reaction for weeks.

Today’s Intel Drop puts your AI model into forensic-analyst mode, dissecting a single ticker’s historical drift behavior and current post-earnings trajectory.

Use this for opportunistic entries in names that reported last week or earlier this month.

PROMPT TEXT:

(copy & paste the below into your preferred AI model: ChatGPT, Claude, Gemini, Perplexity, Grok, Meta, etc.)

You are performing a “Post-Earnings Drift Exploitation Framework” analysis as of December 9, 2025.

User provides:
TICKER + date of last earnings + short context.

Deliver:

1) Historical Drift Behavior (last 8 quarters)
- Direction consistency (up or down)
- Average 5-day, 10-day, 20-day drift magnitude
- Correlation between initial reaction and extended drift

2) Most Recent Earnings Breakdown
- Revenue/EPS vs consensus
- Guidance quality
- KPI outliers
- Segment trends
- Margin commentary

3) Current Technical Posture
- Is the stock trending with or against typical drift?
- Volume confirmation or lack thereof
- Key support/resistance levels

4) Risk Factors
- Macro sensitivity
- Sector rotation forces
- If the drift pattern is weakening or strengthening

5) Output a DRIFT TABLE:
- Drift Consistency Score (1–5)
- Current Direction Alignment
- Risk Rating (1–5)
- Expected Drift Window (days)
- Key invalidation level

Finish with 3–5 sentences explaining:
- Whether the drift is tradable
- What would strengthen or break the signal
- How to monitor over the next two weeks

Output in a clean table + 3–5 sentence explanation why this matters right now.

END PROMPT

Submit to AI model to receive actionable output.

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