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Risk Disclosure: Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. This content is provided for informational purposes only and does not constitute financial advice.

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Blog

Engineering deep dives, developer guides, and product updates from the RealMarketAPI team.

Introducing RealMarketAPI

Introducing RealMarketAPI

RealMarketAPI is a project built with a simple goal: make real-time market data easier to access, easier to use, and easier to build on.

March 17, 20261 min read→
1…1213

Engineering guides and tutorials for financial data APIs

The RealMarketAPI blog publishes technical guides, integration walkthroughs, and platform announcements for developers working with real-time and historical financial market data. Articles cover the full stack β€” from authenticating with your API key and crafting your first REST request, through to running persistent WebSocket connections for sub-second OHLCV feeds, computing technical indicators server-side, and wiring the MCP server to Claude or GPT-4o for AI-driven market analysis.

Every post is written by the engineering team that builds and operates the platform. Code samples are runnable and tested against the live API β€” available in Python, JavaScript/TypeScript, and cURL. Where a guide covers a specific endpoint, it links directly to the interactive API Playground so you can execute requests immediately. Data examples use production symbols: XAUUSD (spot gold), BTCUSD, EURUSD, US500, USOIL, and other commonly traded instruments.

Recurring series include: WebSocket integration patterns for live charting and price alerting bots; technical indicator guides for RSI, MACD, Bollinger Bands, ATR, and Stochastic Oscillator; historical OHLC data use cases from backtesting to machine learning feature pipelines; and MCP server tutorials for building autonomous market-aware AI agents. Platform update posts cover new endpoint releases, symbol additions, latency improvements, and SDK updates.

Topics covered

  • REST & WebSocket API integration
  • RSI, MACD, Bollinger Bands, ATR
  • Historical OHLC data & backtesting
  • MCP server & AI agent integration
  • Forex, metals, crypto & indices
  • Dashboard & charting integration
  • Platform updates & new features
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MCP for AI agents β†’
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