💱Forex ML Exploration 💹

Visit the site at https://udhayashan1.github.io/forex-ml-exploration/#/

A step-by-step machine learning exploration of foreign exchange (forex) pairs.

🚀 Overview

This project explores different machine learning approaches for forex price prediction, uncovering key insights and common pitfalls along the way.

1. Introduction

✅ The Misleading Accuracy of Regression Models

• Why naive regression models fail in forex prediction
• How models can produce "good-looking" but useless predictions
• The issue of predicting past prices instead of future trends

✅ The Case for Classification

• Why classification is a better target than regression for our models
• Predicting price direction (up/down) is more actionable than predicting exact values.

2. Naive Models

✅ Introduction to Logistic Regression

• How logistic regression is used for forex prediction
• The sigmoid function and its role in probability-based predictions
• Decision boundary and how it determines buy/sell signals
• Play Around with Logistic Regression with built-in logistic calculator! It is kind of fun

🔜 Logistic Regression Code and Results

Stay tuned as we refine our approach and explore more effective trading strategies with ML! 🚀📊