alphaear-signal-tracker
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.
By rkiding · 538 installs
npx skills add rkiding/awesome-finance-skills --skill alphaear-signal-tracker
Source repository · Upstream listing
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):
Dependencies
agno (Agent framework)
sqlite3 (built in)
Ensure DatabaseManager is initialized correctly.