alphaear-signal-tracker

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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.

2installs

Sourcerkiding/awesome-finance-skills

Added on2026-02-13

NPX Install

npx skill4agent add rkiding/awesome-finance-skills alphaear-signal-tracker

SKILL.md Content

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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

1. Track Signal Evolution (Agentic Workflow)

YOU (the Agent) are the Tracker. Use the prompts in

references/PROMPTS.md

.

Workflow:

Research: Use FinResearcher Prompt to gather facts/price for a signal.
Analyze: Use FinAnalyst Prompt to generate the initial
```
InvestmentSignal
```
.
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.