Name: Historical Stock Price Dataset
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Historical Stock Price Dataset

Dataset Description:

This dataset provides historical stock price data for selected ticker symbols ['AAPL', 'MSFT', 'JPM', 'GS', 'AMZN', 'PG', 'KO', 'JNJ', 'XOM', 'CAT'] from January 1, 2014, to December 31, 2023. It contains the daily opening, highest, lowest, closing, adjusted closing prices, and trading volume for each trading day. These tickers represent a diverse range of sectors to allow comprehensive financial analysis.

Purpose and Use Case:

This dataset is ideal for financial analysis, market trend assessments, and investment decision-making. Analysts and researchers can use this dataset to:

Analyze price and market trends.
Evaluate volatility by analyzing price fluctuations and trading volume.
Use historical price movements to forecast and predict future trends.
Assess investment opportunities and portfolio performance.

Acknowledgments:

Data was collected using Python and Yahoo Finance. This dataset supports visualization, exploratory data analysis (EDA), and in-depth analysis to develop a predictive model for forecasting stock prices, aiming to gain insights, identify patterns, and improve prediction accuracy.

Potential Research Questions and Inspiration:

What is the correlation between stock prices and trading volume over time?
How do corporate actions and adjustments affect adjusted closing prices?
How does volatility vary across different stocks and sectors?
What key factors influence stock price dynamics, such as earnings reports, industry news, regulatory changes, or global economic trends?

Tables

Stockpricedataset

@kaggle.anitarostami_historical_stock_price_dataset.stockpricedataset

952.58 kB
25,160 rows
8 columns

CREATE TABLE stockpricedataset (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "ticker" VARCHAR
);