This repository implements an ARIMA model for predicting financial prices such as stocks, currencies, and cryptocurrencies. It focuses on time series forecasting to capture temporal dependencies and improve prediction accuracy across different financial datasets.

Forecasting USD/TRY exchange rates using LSTM (Deep Learning) and XGBoost (Machine Learning). Trained on historical Yahoo Finance data (2018–2024) to predict the next day’s closing rate.

Real-time Nigerian Naira (NGN) exchange rate tracker and ML-powered predictor. Compares official CBN rates vs market rates with trend forecasting and alerts. Built with Python, scikit-learn, and Streamlit.