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financial-data

Fetch real-time and historical market data via the Massive Python SDK.

1|Updated Mar 24, 2026
Search Tags:#market-data#crypto#financial-analysis#forex#stock-prices#massive-sdk
One-click install
npx skills add https://github.com/EternisAI/agent-sandbox --skill financial-data-eternisai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: financial-data
Source: https://github.com/EternisAI/agent-sandbox/tree/main/skills/financial-data
Command: npx skills add https://github.com/EternisAI/agent-sandbox --skill financial-data-eternisai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires massive, and includes scripts (resource) components.

What problem does it solve?

This Skill enables automated access to a wide range of financial market data (stocks, options, crypto, forex, and economy) via the Massive Python SDK, reducing manual data gathering and integration effort.

Core Features & Use Cases

  • Unified data access: retrieve current prices, daily aggregates, snapshots, and fundamentals across asset classes using a single SDK.
  • Analytic-ready data: obtain OHLCV bars, indicators, and market status for analytics, dashboards, or model inputs.
  • Use Case: Example: fetch AAPL daily closes for the last 30 days and compute simple performance metrics for a backtest or dashboard.

Quick Start

Instantiate the Massive RESTClient with a proxied API key and fetch the latest price or a short sequence of OHLCV bars for a ticker.

Frequently Asked Questions about financial-data

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

FAQPage Schema
How do I fetch real-time stock prices and historical OHLCV data using Python?▼

You can retrieve real-time stock prices and historical OHLCV data programmatically using the Massive Python SDK, which provides a unified RESTClient to query aggregates, snapshots, and indicators across multiple asset classes.

Can I get forex and crypto market data from a single Python SDK?▼

Yes, you can retrieve forex and crypto market data alongside stocks and options from a single Python SDK. The Massive SDK offers unified access to current prices, daily aggregates, and fundamentals across these asset classes.

What is the best way to programmatically access financial market data without exposing raw API keys?▼

The best way to access financial market data safely is by instantiating the Massive RESTClient with a proxied API key. This approach enforces safe practices like rate-limiting and avoids hardcoding raw API keys directly in your analytics workflows.

Does the Massive SDK support fetching technical indicators and macro data for backtesting?▼

Yes, the Massive SDK supports fetching technical indicators and macro data suitable for backtesting. You can obtain analytic-ready OHLCV bars, market status, and fundamentals to serve as inputs for financial models and dashboards.

How do I rate-limit requests when pulling daily aggregates for multiple tickers?▼

You can rate-limit requests when pulling daily aggregates by leveraging the backend RESTClient provided by the Massive SDK, which includes built-in safe practices to manage query frequencies and prevent exceeding API thresholds.

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