Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.
Capabilities
1. Fetch Latest Financial Signals
Use scripts/deepear_lite.py via DeepEarLiteTools.
Fetch Signals: fetch_latest_signals()
Retrieves all latest signals from https://deepear.vercel.app/latest.json.
Returns a formatted report of signal titles, sentiment/confidence metrics, summaries, and source links.
Dependencies
requests, loguru
No local database required for this skill.
Testing
Run the test script to verify the connection and data fetching:
python scripts/deepear_lite.py
1---2name: alphaear-deepear-lite3description: DeepEar Lite Skill4---5# DeepEar Lite Skill67## Overview89Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.1011## Capabilities1213### 1. Fetch Latest Financial Signals1415Use `scripts/deepear_lite.py` via `DeepEarLiteTools`.1617- **Fetch Signals**: `fetch_latest_signals()`18 - Retrieves all latest signals from `https://deepear.vercel.app/latest.json`.19 - Returns a formatted report of signal titles, sentiment/confidence metrics, summaries, and source links.2021## Dependencies2223- `requests`, `loguru`24- No local database required for this skill.2526## Testing2728Run the test script to verify the connection and data fetching:29```bash30python scripts/deepear_lite.py31```
Run npx skillmds@latest add comeonoliver/alphaear-deepear-lite in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
DeepEar Lite Skill It is listed under Coding & Dev Tools on SkillMD.
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ComeOnOliver (@comeonoliver) published this skill. Their other Agent Skills are listed on their SkillMD profile.