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Anomaly Detection on Historical Stock Prices of FAANG+2 Companies

Overview

This repository houses the code and resources for a data analysis project aimed at detecting anomalies in historical stock prices of FAANG+2 companies. The FAANG+2 group comprises Facebook, Apple, Amazon, Netflix, Google,Microsoft and Walmart, chosen for their market significance.

Project Objectives

Our project objectives include:

Data Collection: Gathering historical stock price data for the selected FAANG+2 companies. Data Preprocessing: Cleaning and preparing the data for analysis. Anomaly Detection: Employing advanced time series analysis and machine learning techniques to identify unusual patterns or anomalies in stock prices. Visualization: Creating meaningful visualizations to illustrate detected anomalies. Insight Generation: Providing insights and interpretations of the anomalies, potentially offering valuable information for investors and financial analysts.

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