Stock Price Prediction Project

A data science project exploring time series prediction on Accenture stock prices using LSTM neural networks.

Overview

• Uses historical Accenture stock data from 2001-2021
• Uses historical Microsoft stock data from 1986-2021
• Implements LSTM neural networks for time series forecasting
• Focuses on predicting closing prices based on historical patterns

Technologies Used

• Python
• PyTorch/TensorFlow
• Pandas & NumPy for data manipulation
• Scikit-learn for preprocessing
• Matplotlib for visualization

Purpose

This is a personal project to experiment with different machine learning approaches for financial time series prediction. The goal is to explore and compare various algorithms rather than build a production trading system.

Status

Project is finished, here is an example of MSFT stocks versus predicted:

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Conclusion

SOMETIMES STOCK GO UP, SOMETIMES STOCK GO DOWN