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alphaear-deepear-lite

alphaear-deepear-lite

github.com/rkidingOther3.1k335 installsUpdated 30w ago
Repository

About alphaear-deepear-lite

alphaear-deepear-lite is a skill for fetching the latest high-frequency financial signals from the DeepEar Lite data source. It returns titles, sentiment and confidence metrics, summaries, reasoning and source links.

Key features

  1. 01Fetch the latest financial signals
  2. 02Provide sentiment and confidence metrics
  3. 03Include summaries, reasoning and source links

Use cases

  1. 01Review current financial signals
  2. 02Inspect signal sentiment and confidence
  3. 03Follow links to signal sources

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/rkiding/awesome-finance-skills --skill alphaear-deepear-lite

After installing, type/alphaear-deepear-litein Claude Code to confirm it loaded.

Bundled filesscripts/deepear_lite.py

Details

From the project README

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

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