Can I use this for historical data analysis?

Absolutely. The skill retrieves historical OHLCV data and can return it in a Pandas DataFrame, making it ready for immediate technical analysis or backtesting.

Which Indian exchanges are supported by this skill?

It supports all major Indian exchanges including NSE, BSE, NFO (Options), and MCX (Commodities) through the OpenAlgo bridge.

Do I need a specific broker to use OpenAlgo Market Data?

OpenAlgo acts as a unified bridge that supports over 25 Indian brokers; as long as your broker is supported by OpenAlgo, this skill will work.

Does this skill support real-time data streaming?

Yes, the skill provides full support for WebSocket streaming, allowing you to subscribe to LTP, quotes, and market depth for low-latency monitoring.

What is the benefit of using this as a Claude Code Skill?

It allows Claude to autonomously write, test, and execute data retrieval scripts, drastically speeding up the development of trading bots and financial research tools.

OpenAlgo Market Data

Name: OpenAlgo Market Data
Author: marketcalls

bymarketcalls

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Data Science & ML

Retrieves real-time quotes, historical OHLCV data, and comprehensive option chains from 25+ Indian brokers using the OpenAlgo Python SDK.

About

This skill empowers Claude to interact with the OpenAlgo API, providing a unified interface for accessing Indian financial markets. It supports deep data retrieval including Level 2 market depth, historical candlestick data formatted for Pandas, and high-frequency WebSocket streaming. Designed for algorithmic traders and financial analysts, it simplifies complex tasks like symbol discovery across multiple exchanges (NSE, BSE, MCX) and monitoring live market movements, making it an essential tool for building and testing trading strategies directly within the Claude Code environment.

Key Features

Real-time market data streaming via high-frequency WebSockets
Historical OHLCV data retrieval with native Pandas DataFrame support
1 GitHub stars
Level 2 market depth access with 5-level bid/ask order books
Comprehensive option chain discovery with ATM strike and expiry tracking
Multi-exchange symbol search and instrument metadata retrieval

Use Cases

Automating the collection of market snapshots and daily performance reports
Developing and backtesting algorithmic trading strategies using historical data
Monitoring live option Greeks and market sentiment for intraday trading

About

Key Features

Real-time market data streaming via high-frequency WebSockets
Historical OHLCV data retrieval with native Pandas DataFrame support
1 GitHub stars
Level 2 market depth access with 5-level bid/ask order books
Comprehensive option chain discovery with ATM strike and expiry tracking
Multi-exchange symbol search and instrument metadata retrieval

Use Cases

Automating the collection of market snapshots and daily performance reports
Developing and backtesting algorithmic trading strategies using historical data
Monitoring live option Greeks and market sentiment for intraday trading