AlphaEar DeepEar Lite

by RKiding

AlphaEar DeepEar Lite is a Data skill for Claude Code, published by RKiding in Awesome-finance-skills.

2.8K stars362 forkson RKiding/Awesome-finance-skillsAdded 2026/08/17Repository updated 2026/03/29

View source on GitHub Download repo ZIP

agentagent-skillsfinancesfintech

Install in seconds

Install AlphaEar DeepEar Lite

Copy AlphaEar DeepEar Lite into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/RKiding/Awesome-finance-skills/tree/main/skills/alphaear-deepear-lite ~/.claude/skills/alphaear-deepear-lite

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/RKiding/Awesome-finance-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/alphaear-deepear-lite/SKILL.md in RKiding/Awesome-finance-skills
Installs to: ~/.claude/skills/alphaear-deepear-lite
Collection: One of 10 skills cataloged from this repository
Category: Data — 668 skills

What AlphaEar DeepEar Lite does

AlphaEar DeepEar Lite fetches the latest financial signals and transmission-chain analyses from the DeepEar Lite dashboard. Use it when you need immediate insights into market trends and stock performance factors.

AlphaEar DeepEar Lite is cataloged under Data on DirSkills. AlphaEar DeepEar Lite comes from a repository tagged agent, agent-skills, finances and fintech.

Documentation

README

From the original repository

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

Frequently asked about AlphaEar DeepEar Lite

What else does RKiding publish alongside AlphaEar DeepEar Lite?
AlphaEar DeepEar Lite is one of 10 skills that DirSkills catalogs from RKiding/Awesome-finance-skills, the repository it ships in. Its siblings there include AlphaEar Logic Visualizer, AlphaEar News and AlphaEar Predictor. Each one is a separate skill with its own page in this directory, installs the same way AlphaEar DeepEar Lite does, and is maintained by RKiding in that same repository. The rest of the collection is listed on the RKiding/Awesome-finance-skills page.
How does AlphaEar DeepEar Lite compare to other Data skills?
AlphaEar DeepEar Lite ranks #288 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AlphaEar DeepEar Lite against them. Open each page to compare what they document and how they install.