stock catalyst research coach
by nowrich
Transform corporate events and filings into structured bull, bear, and uncertainty catalyst briefs.
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Works with the AI tools you already use
See it in action
You say
Build a catalyst brief for $TSLA after the latest earnings report where they missed on revenue but beat on margins and announced a new low-cost model.
Your agent does
Catalyst Brief: TSLA — Q3 Earnings
Catalyst Type: Earnings/Product News What Happened
- Revenue miss of 4% vs consensus.
- Gross margins improved to 19.2% due to cost reductions.
- Confirmed low-cost model production for 2025. Bottom Line: Margin resilience offsets revenue softeness.
What you get
About this skill
The problem
Investment research is often slowed down by fragmented data and biased news headlines. Traders and analysts struggle to quickly weigh conflicting signals from earnings, filings, and macro events without falling into confirmation bias.
What it does
- Synthesizes earnings releases, SEC filings, and news into structured briefs.
- Extracts quantitative data like margins, growth rates, and guidance changes.
- Generates balanced bull, bear, and uncertainty cases for any stock event.
- Assigns evidence-based likelihoods to different market scenarios.
- Identifies the key variables that will determine future price direction.
Why this beats prompting it yourself
This skill enforces a rigorous analytical framework that prevents one-sided analysis. It mandates the inclusion of an uncertainty case and specific market implications that generic prompts often overlook, ensuring a professional-grade research output every time.
Use cases
- Pre-market preparation for earnings releases or guidance updates.
- Assessing the impact of unexpected CEO changes or regulatory filings.
- Analyzing competitor product launches and sector-wide macro shifts.
- Evaluating analyst upgrades and downgrades against underlying fundamentals.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Frequently Asked Questions
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