HowTo
2026-04-12 11:00 UTC
Algo-Trading on Kraken with FXMacroData EUR/USD Macro Signals
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.
HowTo
2026-04-12 08:00 UTC
Algo-Trading Bitcoin on Binance with FXMacroData Macro Signals
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.
HowTo
2026-04-10 10:00 UTC
Predicting Gold Prices Using Macro Data: A Step-by-Step Framework
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.
HowTo
Backtesting
2026-04-06 12:00 UTC
How To Backtest FX Macro Strategies With Backtesting Py
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.
HowTo
2026-03-30 08:55 UTC
How to Use All FXMacroData API Endpoints: A Complete Guide
A step-by-step guide to every FXMacroData API endpoint family, from macro announcements, release calendars and forecasts to COT, commodities, FX rates, curves, market sessions and real-time release delivery, with real sample responses.
HowTo
2026-03-30 08:52 UTC
How To Query FXMacroData Via GraphQL
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.
HowTo
2025-11-26 12:45 UTC
Use the FXMacroData Python SDK for a Reproducible Macro Brief
Build a policy-rate research input with the published Python client, then choose synchronous or asynchronous requests without losing series context.