# Alphaear Signal Tracker

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

- Skill: `majiayu000/alphaear-signal-tracker` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/alphaear-signal-tracker`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/alphaear-signal-tracker/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/alphaear-signal-tracker

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# 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

Use `scripts/fin_agent.py` logic (referencing the `track_signal` method pattern) to update signals.

**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.