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Using Llama for Trading: FX Macro Agents with REST and MCP
A practical guide to using Llama models in trading research without letting the model become the market-data source, covering REST, MCP, release-aware macro data, and risk controls.
FXMacroData vs OANDA Exchange Rates API: FX Rates vs FX Macro Drivers
A buyer-guide comparison of OANDA Exchange Rates API and FXMacroData for teams deciding between exchange-rate feeds and the macro release context that explains currency moves.
FXMacroData vs. Bloomberg: Terminal Breadth vs. Self-Serve FX Macro Data
A buyer-guide comparison of Bloomberg and FXMacroData for FX teams choosing between broad terminal workflows and self-serve, release-aware macro data for dashboards, APIs, notebooks, and AI agents.
Is Diffusiongemma Relevant For FXMacroData Users
Google's DiffusionGemma is not a better source of macro facts. Its value for FXMacroData users is faster local drafting, summarization, and AI-agent workflows around trusted economic data.
Use FXMacroData in ChatGPT: MCP Connections and the Custom GPT
Connect FXMacroData tools to ChatGPT or use the ready-made Custom GPT to produce a source-linked macro research brief.
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.
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.
The Last Mile Problem in Agentic AI: Why Context Abstraction Is the Next Developer Battleground
The biggest blocker for agentic AI is no longer model quality. It is context orchestration. Here is why protocol-first abstraction with MCP is replacing brittle API wrappers in production developer workflows.
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.