---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/stock-market/use-cases/analyze-price-history
---
# Analyze Price History

Understanding how a stock has performed over time is fundamental to making informed investment decisions. Historical price data reveals trends, volatility patterns, support and resistance levels, and the overall trajectory of a company's market valuation. Without this context, current prices are just numbers without meaning.

The price_history skill retrieves daily, weekly, or monthly price data for any time range. The agent can then analyze this data to calculate returns over specific periods, identify significant price movements, compare performance against benchmarks, and spot patterns that might inform future expectations.

This serves technical analysts looking for chart patterns, fundamental investors evaluating long-term performance, portfolio managers calculating risk metrics, and financial researchers studying market behavior. The conversational interface means you can explore the data interactively -- ask about specific date ranges, compare periods, or drill into anomalies.

**Tool:** [Stock Market](https://toolrouter.com/tools/stock-market)
**Skills:** price_history

## Agent Guides

- [How to Analyze Price History with Claude](https://toolrouter.com/tools/stock-market/use-cases/analyze-price-history/claude): Guide for Claude
- [How to Analyze Price History with ChatGPT](https://toolrouter.com/tools/stock-market/use-cases/analyze-price-history/chatgpt): Guide for ChatGPT
- [How to Analyze Price History with Copilot](https://toolrouter.com/tools/stock-market/use-cases/analyze-price-history/copilot): Guide for Copilot
- [How to Analyze Price History with OpenClaw](https://toolrouter.com/tools/stock-market/use-cases/analyze-price-history/openclaw): Guide for OpenClaw
