The FX Market Data RFP Evaluation Checklist (2026 Edition)
Evaluate FX data vendors with this 2026 RFP checklist: 5 pass/fail gates, a 100-point scorecard, DORA Art. 30 terms and cloud p99 latency. Free Excel template.
Announcements and Learning Resources
Latest updates and articles to enhance market data cognizance
What 200+ Startups Got Wrong About Buying Market Data
Recent enquiries from 200+ startups: why price is the wrong first question, how brand trust relies on clean data, and what to send a data vendor.
What are Tier 1 FX Rates: Aggregated vs. Single-Source Feeds
Tier 1 FX rates represent top-of-book prices from major banks, market makers, and venues. Compare aggregated vs. single-source FX feeds.
Beyond 99.9% Uptime: The True SLA Test for Market Data
Discover why standard 99.9% uptime SLAs fall short for market data. Learn how architecture, latency, data validation, and clear response times protect your platform.
FX Data Quality Compared: TraderMade vs. Reuters, EBS, and Bloomberg
How does TraderMade's FX data compare to Refinitiv (Reuters), EBS, and Bloomberg? A dimension-by-dimension comparison of rate quality, market depth, onboarding speed, licensing flexibility, and fully-loaded cost.
The Hidden TCO of Sub-Standard Market Data Feeds
What is the true cost of a market data feed? Calculate your 3-year market data total cost of ownership (TCO) across hidden engineering, DevOps, data quality, and compliance taxes.
Latest Features And Updates May 2026
Explore TraderMade’s latest changes: WebSocket V2 with 40% lower latency, weekend crypto data, MCP Server for AI workflows, and a new business signup experience.
Beyond the API Key: 5 Pillars of Institutional FX Data Infrastructure
Discover the five core pillars that separate institutional FX market data infrastructure from retail feeds, covering source aggregation, timestamp integrity, failover architecture, symbology, and operational visibility.
Introducing the TraderMade MCP Server: FX & Stock Market Data for AI Agents
A high-level look at the TraderMade MCP Server, built with Python and FastMCP to bring live market data, historical analysis, SQL querying, and technical indicators into MCP-capable AI workflows.
Introducing the All-New WebSocket: Faster, Reliable, and Rebuilt from the Ground Up
Discover TraderMade's newly redesigned WebSocket infrastructure featuring 40% lower latency, an event-driven architecture, market depth ladder support, and more.
AI & LLMs in Finance: Beyond the Hype
AI and LLM alone won't give you an edge in finance. Discover why clean, deep market data is the real competitive advantage — and how 10 years of tick-level history changes what's possible.
The Price of Precision: Navigating the Shift from Startup to Enterprise Fintech
Market data isn't just a checkbox; it's infrastructure. Learn how to navigate the architectural risks of scaling from startup to enterprise-grade fintech.