58f9380ec4
- alphaear-deepear-lite: DeepEar Lite API integration - alphaear-logic-visualizer: Draw.io XML finance diagrams - alphaear-news: Real-time finance news (10+ sources) - alphaear-predictor: Kronos time-series forecasting - alphaear-reporter: Professional financial reports - alphaear-search: Web search + local RAG - alphaear-sentiment: FinBERT/LLM sentiment analysis - alphaear-signal-tracker: Signal evolution tracking - alphaear-stock: A-Share/HK/US stock data Updates: - All scripts updated to use universal .env path - Added JINA_API_KEY, LLM_*, DEEPSEEK_API_KEY to .env.example - Updated load_dotenv() to use ~/.config/opencode/.env
33 lines
1.0 KiB
Markdown
33 lines
1.0 KiB
Markdown
---
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name: alphaear-deepear-lite
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description: Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
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---
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# DeepEar Lite Skill
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## Overview
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Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.
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## Capabilities
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### 1. Fetch Latest Financial Signals
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Use `scripts/deepear_lite.py` via `DeepEarLiteTools`.
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- **Fetch Signals**: `fetch_latest_signals()`
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- Retrieves all latest signals from `https://deepear.vercel.app/latest.json`.
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- Returns a formatted report of signal titles, sentiment/confidence metrics, summaries, and source links.
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## Dependencies
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- `requests`, `loguru`
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- No local database required for this skill.
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## Testing
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Run the test script to verify the connection and data fetching:
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```bash
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python scripts/deepear_lite.py
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```
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