Adaptive Forex Forecast This project provides a machine learning-based approach to forecast foreign exchange rates. It leverages adaptive models and algorithms to analyze and predict future currency trends based on historical data.

Features Forex Data Analysis: Extract and preprocess historical exchange rate data. Adaptive Forecasting Models: Uses advanced algorithms (e.g., Least Mean Squares, regression) to predict future forex rates. Visualization: Graphical representation of predicted vs. actual values for better interpretation. Modular Code: Easy to modify and adapt for new datasets and forecasting techniques.