alphaear-signal-tracker

name	AlphaEar Signal Tracker
description	Track and update investment signal evolution — assess whether signals are Strengthened, Weakened, or Falsified based on new market data and news
category	trading/quantitative
tags	["signal-tracking","investment-signals","quantitative","ISQ"]

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 (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.

Dependencies

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

Ensure DatabaseManager is initialized correctly.