Stock Price Prediction

Aim

To visualise and analyse the trend in the stocks and predict future stocks for short span and predict its trend for long span.

Dataset

https://www.kaggle.com/varpit94/goldman-sachs-stock-data-updated-till-1jul2021

Description of features in the dataset:

• Date: Date
• Open: Price from the first transaction of a trading day
• High: Maximum price in a trading day
• Low: Minimum price in a trading day
• Close: Price from the last transaction of a trading day
• Adjusted Close: Closing price adjusted to reflect the value after accounting for any corporate actions
• Volume: Number of units traded in a day

Data Visualization and Approach

Models

Libraries Needed

sklearn==0.0 seaborn==0.10.1 numpy==1.18.5 pandas==1.0.5 matplotlib==3.2.2 scipy==1.5.0 xgboost==1.4.2

Conclusion