Stock price prediction using LSTM

Built a predictive model based on LSTM neural networks to forecast stock prices for major tech companies (Apple, Google, Microsoft, Amazon, Tesla) based on historical data.

Coding Language and Library Used

About

Collected and processed over 5 years of daily stock data (~6,300 records per company) using the Yahoo Finance API and performed data cleaning and feature engineering for time-series analysis.

Evaluated model performance using metrics such as Mean Squared Error (MSE) and conducted back testing to validate the model's predictive capabilities.