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DataPython

AlphaEar Signal Tracker

by RKiding

AlphaEar Signal Tracker 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
agentagent-skillsfinancesfintech
Install in seconds
Install AlphaEar Signal Tracker
Copy AlphaEar Signal Tracker 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-signal-tracker ~/.claude/skills/alphaear-signal-tracker

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-signal-tracker/SKILL.md in RKiding/Awesome-finance-skills
Installs to
~/.claude/skills/alphaear-signal-tracker
Collection
One of 10 skills cataloged from this repository
Category
Data668 skills

What AlphaEar Signal Tracker does

AlphaEar Signal Tracker tracks the evolution of finance investment signals by assessing new market information to determine if a signal is strengthened, weakened, falsified, or unchanged. Use it when monitoring finance signals and updating their logic based on new market data.

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

Documentation

README

AlphaEar Signal Tracker Skill

Overview

This skill provides logic to track and update investment signals. It assesses how new market information impacts existing signals (Strengthened, Weakened, Falsified, or Unchanged).

Capabilities

1. Track Signal Evolution

1. Track Signal Evolution (Agentic Workflow)

YOU (the Agent) are the Tracker. Use the prompts in references/PROMPTS.md.

Workflow:

  1. Research: Use FinResearcher Prompt to gather facts/price for a signal.
  2. Analyze: Use FinAnalyst Prompt to generate the initial InvestmentSignal.
  3. Track: For existing signals, use Signal Tracking Prompt to assess evolution (Strengthened/Weakened/Falsified) based on new info.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about AlphaEar Signal Tracker

  • What else does RKiding publish alongside AlphaEar Signal Tracker?

    AlphaEar Signal Tracker is one of 10 skills that DirSkills catalogs from RKiding/Awesome-finance-skills, the repository it ships in. Its siblings there include AlphaEar DeepEar Lite, AlphaEar Logic Visualizer and AlphaEar News. Each one is a separate skill with its own page in this directory, installs the same way AlphaEar Signal Tracker 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 Signal Tracker compare to other Data skills?

    AlphaEar Signal Tracker ranks #293 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 Signal Tracker against them. Open each page to compare what they document and how they install.

More from RKiding/Awesome-finance-skills

AlphaEar Signal Tracker is one of 10 skills cataloged on DirSkills from RKiding/Awesome-finance-skills.

See all 10 skills