alphaear-signal-tracker
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.
Best use case
alphaear-signal-tracker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using alphaear-signal-tracker should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/alphaear-signal-tracker/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How alphaear-signal-tracker Compares
| Feature / Agent | alphaear-signal-tracker | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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)
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