Global Trading Data Engine
Supplies latest prices, candlestick data, and historical records for Forex and cryptocurrencies across multiple timeframes via dedicated API tools. Enables programmatic retrieval for backtesting trading strategies and market analysis. Developers building AI trading systems and quantitative analysts use it to feed models with structured financial datasets.
Overview
The Global Trading Data Engine MCP server provides direct API access to Forex and cryptocurrency market data, including real-time latest prices, OHLC candlestick data, and historical records spanning multiple timeframes. It supports AI-driven trading analysis by delivering raw, structured data suitable for machine learning models, backtesting, and algorithmic strategy development.
Key Capabilities
- get_forex_latest: Retrieves the most recent Forex pair prices, including bid/ask and last trade values.
- get_crypto_latest: Fetches current cryptocurrency prices across major exchanges.
- get_forex_candle: Returns OHLC candlestick data for Forex pairs over specified timeframes (e.g., 1m, 5m, 1h, 1d).
- get_crypto_candle: Provides candlestick data for cryptocurrencies with customizable timeframes.
- get_forex_history: Downloads extended historical Forex data for backtesting and pattern analysis.
- get_crypto_history: Accesses historical cryptocurrency data for long-term trend evaluation.
Use Cases
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Backtesting Trading Strategies: Use get_forex_history and get_crypto_history to pull years of data, simulate trades, and evaluate strategy performance on historical Forex or crypto movements.
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Real-Time AI Signal Generation: Integrate get_forex_latest and get_crypto_candle into ML models to process live prices and 1-minute candles for generating buy/sell signals.
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Multi-Timeframe Analysis: Combine get_forex_candle (1h) with get_forex_candle (1d) to build indicators like moving averages across scales for Forex trend detection.
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Crypto Arbitrage Bots: Query get_crypto_latest across pairs to detect price discrepancies between exchanges and execute automated trades.
Who This Is For
Quantitative developers, AI/ML engineers specializing in finance, algorithmic traders, and data scientists analyzing market data. It targets users needing reliable, programmatic feeds for building trading bots, predictive models, or research pipelines without relying on paid data vendors.