Compare live cross-asset price changes and output anomalies as JSON.
npx skills add https://github.com/Eveyz/agentskills --skill correlation-anomaly
Please help me install this Agent Skill. Skill: correlation-anomaly Source: https://github.com/Eveyz/agentskills/tree/main/correlation-anomaly Command: npx skills add https://github.com/Eveyz/agentskills --skill correlation-anomaly
Detect unusual cross-asset correlation patterns, compare them with normal historical behavior, interpret what the break may signal, and return trade ideas as strict JSON.
Provide the latest price data and run the detector to produce the JSON output.
High-intent search queries and answers about installing and using this skill.
Cross-asset anomaly detection compares recent live price changes across stocks, gold, and bonds against historical norms to identify unusual correlation breaks. It assesses whether observed relationships signal liquidity stress or a regime shift, returning structured JSON output with interpretations and trade ideas.
A cross-asset correlation break indicates liquidity stress or a regime shift when recent price relationships across stocks, gold, and bonds diverge from historical norms. The anomaly detection interprets these unusual cross-asset moves to assess underlying market conditions and propose corresponding trade ideas.
To generate trade ideas, supply the latest live price data for stocks, gold, and bonds. The detector identifies current correlation anomalies, interprets the market signals, and outputs strict JSON that includes actionable trade ideas and cited sources based on the unusual cross-asset moves.
Yes, cross-asset anomaly detection returns strict JSON formatted according to a provided schema. The structured output includes identified anomalies, market interpretations, proposed trade ideas, and cited sources, ensuring programmatic integration for financial analysis workflows.
Yes, cross-asset correlation detection follows a three-source data validation policy. It enforces clear freshness and cache rules to validate live price data for stocks, gold, and bonds before assessing whether observed relationships match historical norms.
Use cross-asset anomaly detection when you need to identify unusual cross-asset moves that diverge from historical norms. It is designed to spot correlation breaks across stocks, gold, and bonds, interpret liquidity stress or regime shifts, and output actionable trade ideas as structured JSON.
desmondc9Automates asset analysis by coordinating six specialized agents to produce a Chinese report.
3172973615Parse scheduling constraints from email text into structured JSON.
alsk1992Retrieve real-time and historical market data from prediction market platforms via WebSocket and REST APIs.
nimadorostkarCharacterize financial market regimes by evaluating trend, volatility, and risk appetite.
