Day trading / fundamentals
Earnings Analyst
Reads earnings reports and sums up what changed.
Pulls XBRL facts from SEC EDGAR and summarizes quarters, revenue growth, EPS and the changes that matter before an earnings-day trade.
- Source
- EDGAR
- Data
- XBRL
- Metrics
- Revenue, EPS
- Auth
- User agent
Live scene
Earnings Analyst
git clone https://github.com/Jakeschincariol/day-trader-skill.gitMITOverview
What Earnings Analyst actually does
The Earnings Analyst reads structured XBRL facts from SEC EDGAR and lays out the quarters in order. It shows revenue, growth and EPS so you can see what changed instead of reading a press release once.
It asks you to identify yourself with a user agent, respects SEC rate limits and treats the numbers as public facts, not as a recommendation.
Capabilities
What it helps your agent ship
Pull quarterly XBRL facts from SEC EDGAR.
Show revenue and growth quarter over quarter.
Show EPS and the direction of change.
Compare recent quarters side by side.
Identify yourself with a configurable user agent.
Keep earnings context beside the news and scanner skills.
Workflow
The process the skill follows
A repeatable sequence keeps the agent from jumping straight into edits before it understands the job.
- 01
Identify yourself
Set a user agent in config or the environment before calling EDGAR.
- 02
Pick the ticker
Pass a symbol to the facts tool.
- 03
Pull the facts
Read XBRL company facts from SEC EDGAR.
- 04
Order the quarters
Put revenue and EPS into time order.
- 05
Summarize the change
State what improved, what slowed and what to watch next.
Inside the pack
References and modules
These are the load-on-demand files or command groups that make the skill useful beyond a single prompt.
facts.py TSLA
Quarters, growth and EPS.
metrics.example.json
Example metric preferences.
XBRL company facts
Structured SEC data.
Quarter ordering
Recent periods first.
Growth summary
Revenue and EPS direction.
SEC user agent
Required identification for EDGAR.
Use cases
Where it earns its place
Earnings-week check
Know the trend before a report instead of after the gap.
Post-report read
See which line changed after the release.
Watchlist context
Add fundamentals to a technical setup.
Prompt starters
Try one of these first
Copy a prompt into your agent. Replace the example URL with your own project or page.
Pull TSLA quarterly facts and tell me what changed.
Show revenue growth and EPS for the last four quarters.
Is this company improving or slowing into earnings?
Keep exploring
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