Track investment signals, the evidence behind an investment idea, as news and prices change. Compare new information with the existing thesis, classify its impact, and update the signal’s confidence and strength.
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.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
This skill provides logic to track and update investment signals. It assesses how new market information impacts existing signals (Strengthened, Weakened, Falsified, or Unchanged).
YOU (the Agent) are the Tracker. Use the prompts in references/PROMPTS.md.
Workflow:
InvestmentSignal.Tools:
alphaear-search and alphaear-stock skills to gather the necessary data.scripts/fin_agent.py helper _sanitize_signal_output if needing to clean JSON.Key Logic:
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.
agno (Agent framework)sqlite3 (built-in)Ensure DatabaseManager is initialized correctly.
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