Earnings Analysis
by HHFinAi · productivity · python, go, react, api, skill
Institutional-quality earnings analysis for public equities. Parses 10-Qs, earnings releases, and call transcripts into a 4-layer framework (Parse → Compare → Diagnose → Decide), runs a mechanical scoring engine that produces a composite verdict across beat quality, operational health, and management signals, and outputs a one-page earnings sheet, full memo (Word doc), risk map, or trade note. Use when asked to analyse earnings, review quarterly results, parse a 10-Q, summarise an earnings ca...
Source: https://github.com/HHFinAi/claude-equity-research-skills
Install
git clone https://github.com/HHFinAi/claude-equity-research-skillsTags: python, go, react, api, skill
⭐ 4 GitHub stars · Source: skillsdirectory
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Frequently asked questions
How do I install Earnings Analysis?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Earnings Analysis?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Earnings Analysis free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.