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.

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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):

# 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.

majiayu000/claude-skill-registry-data/tree/main/domains/alphaear-signal-tracker commit 4dd677515c

Frequently asked questions

npx skillmds add majiayu000/alphaear-signal-tracker