Building a Low-Frequency Quantitative FX Strategy Using Python(USD/JPY &EUR/JPY)Here’s A Complete Guide with EUR/JPY & USD/JPYIntroductionLow-frequ
Building a Low-Frequency Quantitative FX Strategy Using Python(USD/JPY &EUR/JPY) Here’s A Complete Guide with EUR/JPY & USD/JPY Introduction Low-frequency quantitative trading in foreign exchange (FX) markets sits at the intersection of macroeconomics, technical structure, market microstructure, and statistical pattern recognition. Unlike high-frequency or ultra-fast execution models, low-frequency FX strategies rely on slower-moving macro drivers, regime shifts, volatility cycles, and technical confirmation. In this article, we design a complete and production-ready Python framework for a low-frequency trading strategy focused on EUR/JPY and USD/JPY — two of the most structurally unique currency pairs in the global financial system. We will explore: Why JPY-based crosses behave structurally differently The economic and liquidity mechanisms driving both pairs The core indicators behind a robust low-frequency model How to combine carry, volatility regimes, and price structure A complete Python architecture (data, signals, backtest, execution) This approach is designed for weekly or daily bars with position holding periods of 2–20 days , suitable for swing-level macro tr
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