market-ohlcv

Fetch historical OHLCV market data from EastMoney and Tencent Technical.

59|30|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/duolongworld/AI_Renaissance --skill market-ohlcv
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-ohlcv
Source: https://github.com/duolongworld/AI_Renaissance/tree/main/skills/data/market_ohlcv
Command: npx skills add https://github.com/duolongworld/AI_Renaissance --skill market-ohlcv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a standardized interface for accessing OHLCV market data, simplifying the process of obtaining and using historical price and volume information for financial analysis.

Core Features & Use Cases

  • Standardized Data Access: Offers a consistent API for fetching OHLCV data from various sources.
  • Data Source Flexibility: Supports EastMoney and Tencent Technical as primary and fallback data sources.
  • Use Case: Technical analysts can use this Skill to quickly retrieve historical stock prices and volumes for analysis without the need to manage data sources manually.

Quick Start

Load OHLCV data for stock code '600519' from '2026-01-01' to '2026-05-23' with daily frequency using the 'load_rows_from_code' function.

Frequently Asked Questions about market-ohlcv

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve historical OHLCV market data for technical analysis?

You can retrieve historical OHLCV market data by loading stock rows from a specific code using the provided standardized interface, which fetches daily frequency price and volume information for financial modeling.

What data sources are supported for fetching historical stock prices and volumes?

The Skill supports fetching historical stock prices and volumes from EastMoney as the primary source and Tencent Technical as a fallback source, ensuring flexible data retrieval.

Do I need pandas and requests to access OHLCV market data?

Yes, you need the pandas and requests Python libraries installed in your environment to process and retrieve the OHLCV market data successfully through this interface.

What is the best way to standardize financial data access from multiple sources?

Using a unified API that manages data source flexibility automatically is the best way to standardize financial data access, providing a consistent interface for retrieving OHLCV data without manual source management.

Are there limitations when fetching daily OHLCV data for specific stock codes?

Limitations include dependency on the availability of requested stock codes within the EastMoney and Tencent Technical sources, and the requirement to have Python libraries installed for executing the data retrieval.