Documentation for a stock price analysis project using time-series techniques and Evolutionary Algorithms.

A time-series ML project predicting monthly TSLA closing prices. Includes historical financial data ingestion, trend decomposition, feature engineering, and baseline forecasting models.

This repository contains an implementation of a Gradient Boosting Regressor model for predicting prices of financial instruments, such as currencies, stocks, and cryptocurrencies. The model uses gradient boosting techniques to capture patterns in price movements and improve prediction accuracy.