alphaear-signal-tracker

# 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 framewo...