Research Hub
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A focused FXMacroData research hub organized by market, release type, and workflow.
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Best Economic Indicator Feeds for Algo Trading in 2026
A practical ranking of the best economic indicator feeds for algorithmic trading, comparing FXMacroData, FRED, Trading Economics, EODHD, Finnhub, Alpha Vantage, Polygon.io, and QuantConnect by use case, latency, pricing, and workflow fit.
FXMacroData Joins the Google for Startups Cloud Program
FXMacroData has joined the Google for Startups Cloud Program, adding support behind the infrastructure, documentation, and product work driving the next phase of the platform.
How To Build An MCP Client For FXMacroData
Build a Python MCP client that connects to the FXMacroData remote server, lists tools, calls live macro data endpoints, and then extends into an LLM-powered chat workflow.
Bank of Canada Business Outlook Survey: What It Measures and Why It Matters for CAD
A practical guide to the Bank of Canada Business Outlook Survey, what it measures, how traders interpret it, and how FXMacroData uses it as official CAD business confidence coverage.
Introducing FXMacroData MCP Apps
FXMacroData MCP now goes beyond raw tool calls with interactive app surfaces for indicator charts, pair comparison, macro heatmaps, scenario testing, war-room workflows, event replay, and quant stress analysis inside compatible AI hosts.
How To Build A Public Macro Monitor With Plotly Dash
Build a production-style Plotly Dash macro monitor with FXMacroData, including normalized API data, explicit-axis heatmaps, drill-down charts, caching, and safe API-key handling.
MCP Connection Models for Real Systems: STDIO, Streaming, HTTP, and Security Patterns on FXMacroData
A practical guide to MCP transport choices (STDIO, streaming, HTTP), local vs online connection patterns, and API key versus OAuth security models when integrating with FXMacroData.
Introducing MCP Tasks on FXMacroData
FXMacroData MCP now supports asynchronous task execution, starting with macro briefings that combine indicator coverage, policy rates, GDP, and upcoming releases into one tracked background workflow.
The Best Prompt Architecture for FX Bots in 2026
A practical prompt blueprint for FX agent systems: state layer, rules layer, risk layer, and output contract design that reduces hallucinations and improves deterministic behavior under live market stress.
Backtest Your Agent Logic Not Just Your Strategy
Traditional backtests miss a critical layer in AI trading systems: the agent decision process itself. Learn how to replay historical macro context and score reasoning quality, schema stability, and risk-policy compliance before trusting live automation.
Kill Switch Framework For AI FX Bots
A practical risk-engineering blueprint for AI FX systems: layered kill switches that halt trading on data drift, model instability, volatility shocks, and execution anomalies before damage compounds.
Build a Two-Agent FX Stack: Research Agent + Execution Gatekeeper
Design a safer AI FX workflow by splitting analysis from execution approval: one agent researches macro setups, a second gatekeeper enforces risk rules and blocks unsafe trades before they reach your broker.
