Files

Kunthawat Greethong 58f9380ec4 Import 9 alphaear finance skills

- 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

2026-03-27 10:11:37 +07:00

1.0 KiB

Raw Blame History

name, description

name	description
alphaear-deepear-lite	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.

DeepEar Lite Skill

Overview

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

1.0 KiB Raw Blame History