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Finage
Real-time API platform for stock, forex, and crypto data
APIFintechDeveloper Tools
2025-06-09
63 likes

Product Introduction

  1. Finage is a financial market data platform that provides real-time and historical stock, forex, cryptocurrency, CFD, and DEX data through high-performance APIs and WebSocket streams. It caters to developers, fintech platforms, and enterprises requiring scalable, low-latency market data integration. The platform offers a developer-first experience with comprehensive documentation, customizable widgets, and tools like QuerySeed for API testing.
  2. The core value of Finage lies in delivering ultra-fast, reliable, and wide-ranging financial data to power applications across trading systems, analytics tools, and compliance solutions. It simplifies access to global market data with sub-millisecond latency, supporting over 300,000 tickers and processing 600 million API calls daily.

Main Features

  1. Finage provides real-time and historical market data APIs for equities, forex, cryptocurrencies, CFDs, and decentralized exchanges (DEX), covering 300,000+ instruments across 50+ global markets. Data includes tick-level accuracy for crypto, spike detection for DEX feeds, and fundamental metrics like company financial statements.
  2. The platform offers WebSocket integration with sub-1ms latency for live data streaming, enabling developers to subscribe to symbols like AAPL or BTC-USD and receive JSON-formatted updates instantly. Code examples in multiple languages and detailed API documentation streamline integration.
  3. Customizable financial widgets (charts, tickers, converters) and prebuilt endpoints for technical indicators allow users to embed real-time data visualizations directly into applications. The QuerySeed playground provides a sandbox environment for testing API endpoints without live data costs.

Problems Solved

  1. Finage addresses the complexity of sourcing and integrating high-quality, real-time financial data from fragmented global markets, which often involves high costs, latency issues, and unreliable vendors.
  2. The platform targets developers building trading algorithms, fintech applications, portfolio management tools, and compliance systems, as well as enterprises needing scalable market data infrastructure.
  3. Typical use cases include powering algorithmic trading signals, backtesting historical strategies, embedding live price charts in dashboards, and monitoring regulatory compliance through real-time trade surveillance.

Unique Advantages

  1. Unlike competitors, Finage combines ultra-low latency WebSocket delivery (<1ms) with aggregated data from 100+ crypto exchanges and 50+ DEX platforms, ensuring comprehensive coverage and clean pricing.
  2. Innovative features like spike detection for decentralized exchange data, pre-filtered liquidity metrics for forex, and granular fundamental datasets (e.g., 40+ financial ratios) enable niche use cases in DeFi and quantitative analysis.
  3. Competitive advantages include a developer-first UX with code playgrounds, tiered pricing for startups to enterprises, and infrastructure optimized for 600M+ daily API calls without rate limiting bottlenecks.

Frequently Asked Questions (FAQ)

  1. Is Finage’s data suitable for live trading decisions? Finage explicitly states that its data is for informational purposes only and not guaranteed to be real-time or accurate for trading. Users must independently verify data before making financial decisions.
  2. How does Finage ensure data accuracy for cryptocurrencies? The platform aggregates crypto prices from 100+ centralized and decentralized exchanges, applying tick-level validation and liquidity-based weighting to minimize anomalies.
  3. What rate limits apply to API usage? Rate limits vary by subscription tier, with enterprise plans offering customizable thresholds. Detailed guidance is provided in the technical documentation to optimize query efficiency.
  4. Can historical data be backtested with Finage? Yes, historical endpoints provide OHLCV, order book snapshots, and corporate action data, compatible with backtesting frameworks like Python’s Pandas or proprietary systems.
  5. Is redistribution of Finage data permitted? Redistribution of raw or derived data is strictly prohibited under Finage’s terms of service, except for visualizations rendered through approved widgets.

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