How To Build A Public Macro Monitor With Plotly Dash
Build a production-style Plotly Dash macro monitor with FXMacroData, including a heatmap, drill-down views, and safe API-key handling.
Implementation
Step-by-step setup guides for authentication, endpoint usage, and production integrations.
Subscribe to How-To Guides RSSBuild a production-style Plotly Dash macro monitor with FXMacroData, including a heatmap, drill-down views, and safe API-key handling.
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.
Replace 45 minutes of manual pre-market prep with an always-on AI agent that scans the FXMacroData release calendar, ranks today's events by market impact, and delivers a structured briefing before London open.
Build a practical FX trading bot with a Hermes model and FXMacroData. Learn how to wire macro releases, spot FX data, and rule-based risk filters into an automated signal loop you can run locally.
Run an always-on, sandboxed FX trading agent using NVIDIA NemoClaw and OpenClaw. Connect FXMacroData's macro API to a secure Nemotron-backed agent that monitors inflation prints, policy decisions, and release calendars — and alerts you on Telegram when macro surprises hit your thresholds.
Learn how to use Google's Gemini Spark with FXMacroData to receive real-time macroeconomic news and indicator alerts for global currencies.
Wire OpenAI Codex into FXMacroData so the agent can pull live policy rates, inflation prints, COT positioning and FX spot — and then write the trading scripts for you. Covers both the direct REST API and the MCP server connection.
Step-by-step guide to connecting FXMacroData macro announcements, consensus forecasts, and COT positioning data to prediction market contracts on Kalshi and Polymarket — with working Python code.
A step-by-step guide to building a working SSE subscriber that listens for new FXMacroData release events in real time, filters for the currencies and indicators you care about, and pulls the full indicator payload from the REST API.
Step-by-step guide to connecting FXMacroData to Claude Desktop via the Model Context Protocol (MCP). Ask live macro questions — policy rates, CPI, COT positioning, FX spot rates — directly inside Claude conversations.
Connect FXMacroData to the Cline AI extension in VS Code via MCP and query live macro announcements, release calendars, COT data, and FX rates from inside your editor — in plain English.
Connect FXMacroData to Windsurf AI via MCP and query live macro announcements, release calendars, and COT data from inside Cascade — in natural language.
Step-by-step guide to pulling live macroeconomic data from FXMacroData into Excel via Power Query or VBA, and into Google Sheets via Apps Script — with automatic refresh and clean row formatting.
Connect FXMacroData to Cursor AI via MCP and query live macro announcements, release calendars, COT data, and FX spot rates from inside your editor — in natural language.
A step-by-step guide to calling the FXMacroData REST API from Go — covering net/http client setup, query-parameter authentication, JSON decoding, and reusable helpers for announcements, the release calendar, and FX spot rates.
Pull live macroeconomic announcement data from FXMacroData directly into Google Sheets using Apps Script — with rate-limit handling, automatic refresh triggers, and clean row normalization for multi-indicator dashboards.
Step-by-step guide to wiring FXMacroData into a ChatGPT Custom GPT using OpenAPI Actions so your GPT can answer live macro questions out of the box.
Build automated macro data pipelines in n8n — fetch FXMacroData indicators on a schedule, filter by release calendar events, and route results to Slack, Google Sheets, or any webhook — all without writing server infrastructure.
Connect FXMacroData to the Continue.dev VS Code extension via MCP and query live macro announcements, release calendars, and COT data from inside your editor — in natural language.
Build a production-ready Dagster data pipeline that pulls macro indicators from FXMacroData on a schedule, stores results in a local database, and surfaces release calendar events for smarter execution timing.
Build a reliable macro alert system using FXMacroData polling and webhook delivery. This guide shows you how to detect new indicator releases and push instant notifications to Slack, Discord, or any HTTP endpoint — in Python.
Build a macro-driven FX algorithmic trading system in Python: fetch policy rates, inflation, employment, and bond yields from FXMacroData, compose a regime score, schedule entries around the release calendar, and manage risk automatically.
A step-by-step guide to overlaying FXMacroData macro announcements, policy rates, and COT positioning onto TradingView charts using a Python code generator and Pine Script v5.
A systematic backtest of the gold macro scorecard signal against daily LBMA gold prices — measuring whether real yield, breakeven inflation, Fed policy, money supply, and the trade-weighted dollar actually predict gold's direction.
Step-by-step guide to pulling CFTC Commitments of Traders positioning data from the FXMacroData API, computing net positioning metrics, and building a directional filter that aligns trade entries with institutional flow.
Paste a single iframe snippet into WordPress, Notion, Ghost, or any blog platform and serve real-time FXMacroData indicator charts that update automatically with every new release — no backend required.
Build a Python bot that polls the FXMacroData release calendar, fires second-precise alerts to Telegram or Discord before each high-impact macro announcement, and keeps your trading desk ahead of every data release.
A complete Python walkthrough for building a rule-based FX strategy driven by government bond yield differentials — from fetching 10-year yields via the FXMacroData API to backtesting spread signals on EUR/USD.
Give your OpenClaw AI agent live access to macro announcements, release calendars, COT reports, and forex data across 18 currencies — via MCP or REST API — and automate pre-session briefings from any chat app.
Build a macro-signal-driven Bitcoin trading bot in Python: pull USD policy rate, inflation, breakeven, and gold data from FXMacroData, compose a regime score, schedule around FOMC and CPI releases, and submit BTC-USD orders on Coinbase Advanced Trade automatically.
Build a macro-driven crypto trading bot for Kraken in Python: pull EUR and USD policy rate, inflation, and forex divergence data from FXMacroData, combine them into a regime score, schedule execution around ECB and Fed releases, and submit BTC/USD orders on Kraken automatically.
Build a macro-signal-driven Bitcoin trading bot in Python: pull USD policy rate, inflation, breakeven, and gold data from FXMacroData, compose a regime score, schedule around FOMC and CPI releases, and submit BTC/USDT orders on Binance automatically.
Gold is driven by real interest rates, inflation expectations, dollar strength, and central bank balance sheets — all measurable via API. This guide shows how to pull the key macro series from FXMacroData and build a composite gold signal scorecard in Python.
A step-by-step guide to using FXMacroData central-bank announcement data to build a synthetic carry-spread index and backtest a GBP/USD carry strategy with backtesting.py — no external price provider required.
A step-by-step walkthrough of every public endpoint in the FXMacroData API — from announcement series and release calendar to COT positioning, commodities, forex rates, and GraphQL batching.
Batch multiple indicator queries, discover the full data catalogue, and retrieve release calendars in a single HTTP round-trip using the FXMacroData GraphQL endpoint — with Python and JavaScript examples.
A practical end-to-end guide to authenticating with FXMacroData, choosing the right endpoint families, and building a production-ready macro data workflow.
Stop polling every endpoint on a timer. Learn how to query the FXMacroData release calendar to find the exact announcement time for any indicator, then schedule a single targeted API call for that moment — in Python and JavaScript.