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alphaear-signal-tracker

Track finance investment signal evolution and update logic based on new finance market information.

Skill by RKiding

IndexedApache-2.0★ 3,084
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/rkiding-alphaear-signal-tracker

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.

Use cases: finance

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 9

  • api.z.ai · found in code
  • arxiv.org · found in code
  • codeload.github.com · found in install command
  • dashscope.aliyuncs.com · found in code
  • gamma-api.polymarket.com · found in code
  • gist.github.com · found in code
  • newsnow.busiyi.world · found in code
  • r.jina.ai · found in code
  • s.jina.ai · found in code

Files it touches

  • ~/.claude/skills/alphaear-signal-tracker

What's inside

Skill name
alphaear-signal-tracker
Description
Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.
License
Apache-2.0
Instructions
48 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (36)

  • SKILL.md
  • PROMPTS.md · references/
  • __init__.py · scripts/
  • fin_agent.py · scripts/
  • fin_agent.py · scripts/prompts/
  • forecast_analyst.py · scripts/prompts/
  • intent_agent.py · scripts/prompts/
  • isq_prompt_generator.py · scripts/prompts/
  • report_agent.py · scripts/prompts/
  • trend_agent.py · scripts/prompts/
  • visualizer.py · scripts/prompts/
  • isq_template.py · scripts/schema/
  • models.py · scripts/schema/
  • __init__.py · scripts/tools/
  • toolkits.py · scripts/tools/
  • __init__.py · scripts/utils/
  • content_extractor.py · scripts/utils/
  • database_manager.py · scripts/utils/
  • hybrid_search.py · scripts/utils/
  • json_utils.py · scripts/utils/
  • capability.py · scripts/utils/llm/
  • factory.py · scripts/utils/llm/
  • router.py · scripts/utils/llm/
  • logging_setup.py · scripts/utils/
  • md_to_html.py · scripts/utils/
  • news_tools.py · scripts/utils/
  • evaluation.py · scripts/utils/predictor/
  • kline_generate.py · scripts/utils/predictor/
  • __init__.py · scripts/utils/predictor/model/
  • kronos.py · scripts/utils/predictor/model/
  • module.py · scripts/utils/predictor/model/
  • training.py · scripts/utils/predictor/
  • search_tools.py · scripts/utils/
  • sentiment_tools.py · scripts/utils/
  • stock_tools.py · scripts/utils/
  • test_tracker.py · tests/

SKILL.md (first lines)

# 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.

**Tools:**
- Use `alphaear-search` and `alphaear-stock` skills to gather the necessary data.
- Use `scripts/fin_agent.py` helper `_sanitize_signal_output` if needing to clean JSON.

**Key Logic:**

-   **Input**: Existing Signal State + New Information (News/Price).
-   **Process**:
    1.  Compare new info with signal thesis.
    2.  Determine impact direction (Positive/Negative/Neutral).
    3.  Update confidence and intensity.
-   **Output**: Updated Signal.

**Example Usage (Conceptual):**

```python
# This skill is currently a pattern extracted from FinAgent.
# In a future refactor, it should be a standalone utility class.
# For now, refer to `scripts/fin_agent.py`'s `track_signal` method implementation.
```

## Dependencies

-   `agno` (Agent framework)
-   `sqlite3` (built-in)

Ensure `DatabaseManager` is initialized correctly.

From RKiding/Awesome-finance-skills, Apache-2.0.

More from RKiding/Awesome-finance-skills

Signals

Stars
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Forks
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Last commit (this folder)
Feb 3, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
Repository
github.com/RKiding/Awesome-finance-skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

alphaear-signal-tracker skill. Agent Mart. https://agentmart.dev/skills/rkiding-alphaear-signal-tracker (last updated 2026-10-24)