Visit the site at https://udhayashan1.github.io/forex-ml-exploration/#/
A step-by-step machine learning exploration of foreign exchange (forex) pairs.
This project explores different machine learning approaches for forex price prediction, uncovering key insights and common pitfalls along the way.
✅ 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.
✅ 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
Stay tuned as we refine our approach and explore more effective trading strategies with ML! 🚀📊