Alphaear Deepear Lite

Pulls real-time financial signals from the DeepEar Lite platform at deepear.vercel.app, giving you titles, sentiment scores, confidence metrics, and reasoning chains for market trends and stock movements. You'd use this when you need quick market intelligence without manually checking dashboards. It's straightforward: one function fetches the latest JSON feed and formats it into a readable report. The signals include summaries and source links, so you can dig deeper if needed. Worth noting that it's entirely dependent on DeepEar Lite's uptime and data quality, so you're trusting their analysis pipeline. Good for rapid market checks during development of financial tools or research workflows.

skills.sh installs: 337
GitHub stars: 3.1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add rkiding/awesome-finance-skills --skill alphaear-deepear-lite --agent claude-code

Installs into .claude/skills of the current project.

Files

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.