Compute price correlation matrix between multiple symbols. Useful for portfolio diversification analysis. Args: symbols: Comma-separated ticker symbols (minimum 2) period: Historical period (1mo, 3mo, 6mo, 1y)
AI agents call price_correlation to retrieve information from Trading Skills without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes historical price data to compute correlations—a pure read operation with no side effects. It queries existing market data without creating, modifying, deleting, or executing external operations. The parameters (symbols, period) are inputs for filtering/analyzing data, not triggering actions.
From the tool's definition Tool 'compute price correlation matrix' between symbols using historical data; takes ticker symbols and period as arguments; explicitly described as 'useful for portfolio diversification analysis' with no mutation or execution capabilities.
Documented attack patterns abuse exactly the kind of access price_correlation gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Trading Skills, and nothing reaches the server without passing your rules. This is the rule we recommend for price_correlation:
{
"version": "1",
"default": "deny",
"tools": {
"price_correlation": {}
}
}price_correlation is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Compute price correlation matrix between multiple symbols. Useful for portfolio diversification analysis. Args: symbols: Comma-separated ticker symbols (minimum 2) period: Historical period (1mo, 3mo, 6mo, 1y). It is categorised as a Read tool in the Trading Skills MCP Server, which means it retrieves data without modifying state.
Register the Trading Skills MCP server in PolicyLayer and add a rule for price_correlation: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Trading Skills. Nothing to install.
price_correlation is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the price_correlation rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for price_correlation. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
price_correlation is provided by the Trading Skills MCP server (staskh/trading_skills). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 35 Trading Skills tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
35 Trading Skills tools catalogued and risk-classified — across an index of 42,500+ MCP servers.