GitHub - Coop04/stock-movement-analysis-using-xgboost-and-rf: This repository contains machine learning models for analyzing stock market movement. Using historical NASDAQ data, it applies XGBoost and Random Forest classifiers to detect patterns and classify short-term price direction. The project serves as a baseline for trend classification and experimentation in financial prediction.

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This repository contains machine learning models for analyzing stock market movement. Using historical NASDAQ data, it applies XGBoost and Random Forest classifiers to detect patterns and classify short-term price direction. The project serves as a baseline for trend classification and experimentation in financial prediction.

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Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
PrepareData		PrepareData
docs		docs
sample-data		sample-data
stock-trend-analysis-nasdaq		stock-trend-analysis-nasdaq
tutorials		tutorials
.gitignore		.gitignore
requirements.txt		requirements.txt