<?xml version="1.0" encoding="UTF-8"?>
		<www.jsetms.com>
		<Title>FOREIGN EXCHANGE MARKET STRATEGIES</Title>
		<Author>K.Subash, R.Gowthami</Author>
		<Volume>02</Volume>
		<Issue>06</Issue>
		<Abstract>The foreign exchange forex or FX market being the worlds largest and most liquid financial marketplace plays a pivotal role in global economic stability and investment activity With the daily trading volume exceeding 6 trillion understanding forex market strategies is crucial for investors institutions and policymakers This research delves into traditional and modern forex strategiestechnical analysis fundamental analysis carry trade momentumbased tradingand integrates these with cuttingedge machine learning ML and deep learning DL models to enhance predictability and decisionmaking The paper explores the evolution of forex strategies highlights the impact of AIpowered forecasting models and investigates the role of macroeconomic factors geopolitical events and investor sentiment in shaping currency fluctuations Utilizing realtime data neural networks and sentiment analysis tools this study bridges finance and software intelligence to create a robust decisionsupport framework The findings provide a strategic roadmap for leveraging algorithmic and AIdriven methods to manage risks and capitalize on opportunities in volatile currency markets</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jsetms.com>
		