This dataset consists of five CSV files that provide detailed data on a stock portfolio and related market performance over the last 5 years. It includes portfolio positions, stock prices, and major U.S. market indices (NASDAQ, S&P 500, and Dow Jones). The data is essential for conducting portfolio analysis, financial modeling, and performance tracking.

1. Portfolio

This file contains the portfolio composition with details about individual stock positions, including the quantity of shares, sector, and their respective weights in the portfolio. The data also includes the stock's closing price.

• Columns:
  • Ticker: The stock symbol (e.g., AAPL, TSLA)
  • Quantity: The number of shares in the portfolio
  • Sector: The sector the stock belongs to (e.g., Technology, Healthcare)
  • Close: The closing price of the stock
  • Weight: The weight of the stock in the portfolio (as a percentage of total portfolio)

2. Portfolio Prices

This file contains historical pricing data for the stocks in the portfolio. It includes daily open, high, low, close prices, adjusted close prices, returns, and volume of traded stocks.

• Columns:
  • Date: The date of the data point
  • Ticker: The stock symbol
  • Open: The opening price of the stock on that day
  • High: The highest price reached on that day
  • Low: The lowest price reached on that day
  • Close: The closing price of the stock
  • Adjusted: The adjusted closing price after stock splits and dividends
  • Returns: Daily percentage return based on close prices
  • Volume: The volume of shares traded that day

3. NASDAQ

This file contains historical pricing data for the NASDAQ Composite index, providing similar data as in the Portfolio Prices file, but for the NASDAQ market index.

• Columns:
  • Date: The date of the data point
  • Ticker: The stock symbol (for NASDAQ index, this will be "IXIC")
  • Open: The opening price of the index
  • High: The highest value reached on that day
  • Low: The lowest value reached on that day
  • Close: The closing value of the index
  • Adjusted: The adjusted closing value after any corporate actions
  • Returns: Daily percentage return based on close values
  • Volume: The volume of shares traded

4. S&P 500

This file contains similar historical pricing data, but for the S&P 500 index, providing insights into the performance of the top 500 U.S. companies.

• Columns:
  • Date: The date of the data point
  • Ticker: The stock symbol (for S&P 500 index, this will be "SPX")
  • Open: The opening price of the index
  • High: The highest value reached on that day
  • Low: The lowest value reached on that day
  • Close: The closing value of the index
  • Adjusted: The adjusted closing value after any corporate actions
  • Returns: Daily percentage return based on close values
  • Volume: The volume of shares traded

5. Dow Jones

This file contains similar historical pricing data for the Dow Jones Industrial Average, providing insights into one of the most widely followed stock market indices in the world.

• Columns:
  • Date: The date of the data point
  • Ticker: The stock symbol (for Dow Jones index, this will be "DJI")
  • Open: The opening price of the index
  • High: The highest value reached on that day
  • Low: The lowest value reached on that day
  • Close: The closing value of the index
  • Adjusted: The adjusted closing value after any corporate actions
  • Returns: Daily percentage return based on close values
  • Volume: The volume of shares traded

Personal Portfolio Data

This data is received using a custom framework that fetches real-time and historical stock data from Yahoo Finance. It provides the portfolio’s data based on user-specific stock holdings and performance, allowing for personalized analysis. The personal framework ensures the portfolio data is automatically retrieved and updated with the latest stock prices, returns, and performance metrics.

This part of the dataset would typically involve data specific to a particular user’s stock positions, weights, and performance, which can be integrated with the other files for portfolio performance analysis.

About the Google Stock Price Dataset

The Google Stock Price Dataset consists of two CSV (Comma Separated Values) files containing historical stock price data for training and evaluation. Each row in the dataset represents a trading day, and the columns provide various information related to Google's stock for that day.

Columns:

Date: The date of the trading day in the format "YYYY-MM-DD."

Open: The opening price of Google's stock on that trading day.

High: The highest price reached during the trading day.

Low: The lowest price reached during the trading day.

Close: The closing price of Google's stock on that trading day.

Adj Close: The adjusted closing price, accounting for any corporate actions (e.g., stock splits, dividends) that may affect the stock's value.

Volume: The trading volume, representing the number of shares traded on that trading day.

Time Period: The train dataset spans from January 1, 2010, to December 31, 2022, providing twelve years of daily stock price information for model training. The test dataset spans from January 1, 2023, to July 30, 2023, providing seven month of daily stock price data for model evaluation.

Data Source:

The dataset was collected from Yahoo Finance (finance.yahoo.com), a reputable and widely-used financial data platform.

Use Case:

The Google Stock Price Dataset can be utilized for various purposes, such as predicting future stock prices, analyzing historical stock trends, and building machine learning models for financial forecasting.

Potential Applications:

Time Series Analysis: Explore stock price patterns and seasonality. Financial Modeling: Develop predictive models to forecast stock prices. Algorithmic Trading: Create trading strategies based on historical stock data. Risk Management: Assess potential risks and volatilities in the stock market.

Citation:

If you use this dataset in your research or analysis, please provide proper attribution and citation to acknowledge the source.

License: This dataset is provided under the Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, making it freely available for use without any restrictions or attribution requirements.

Historical dataset of the Dow Jones Industrial Average (DJIA) stock market index for the last 100 years. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

Interactive chart illustrating the performance of the Dow Jones Industrial Average (DJIA) market index over the last ten years. Each point of the stock market graph is represented by the daily closing price for the DJIA. Historical data can be downloaded via the red button on the upper left corner of the chart.

The latest closing stock price for Alphabet as of May 27, 2025 is 172.90. An investor who bought $1,000 worth of Alphabet stock at the IPO in 2004 would have $68,190 today, roughly 68 times their original investment - a 22.35% compound annual growth rate over 21 years. The all-time high Alphabet stock closing price was 206.14 on February 04, 2025. The Alphabet 52-week high stock price is 207.05, which is 19.8% above the current share price. The Alphabet 52-week low stock price is 140.53, which is 18.7% below the current share price. The average Alphabet stock price for the last 52 weeks is 172.27. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

Dataset Information

This dataset includes daily price data for various stocks.

  Instruments Included

7000+ US Stocks

  Dataset Columns

symbol: The symbol of the stock. date: The date of the data. open: The opening price of the stock. high: The highest price of the stock. low: The lowest price of the stock. close: The closing price of the stock. volume: The volume of the stock. adj_close: The adjusted closing price of the stock.

  Data Splits

The… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Stocks-Daily-Price.

This scatter chart displays lowest price against closing price. The data is filtered where the stock is HCP and the date is the 11th of February 2025. The data is about stocks per day.

Historical dataset for the S&P 500 stock market index since 1927. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

The latest closing stock price for Microsoft as of May 27, 2025 is 460.69. An investor who bought $1,000 worth of Microsoft stock at the IPO in 1986 would have $7,728,698 today, roughly 7,729 times their original investment - a 25.80% compound annual growth rate over 39 years. The all-time high Microsoft stock closing price was 464.00 on July 05, 2024. The Microsoft 52-week high stock price is 468.35, which is 1.7% above the current share price. The Microsoft 52-week low stock price is 344.79, which is 25.2% below the current share price. The average Microsoft stock price for the last 52 weeks is 420.26. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

This scatter chart displays lowest price against closing price. The data is filtered where the stock is KW and the date is the 26th of March 2025. The data is about stocks per day.

This dataset is about stocks per day, has 9,765 rows. and is filtered where the stock is COST. It features 3 columns: date, stock, and closing price. The preview is ordered by date (descending).

This horizontal bar chart displays closing price by stock using the aggregation sum. The data is filtered where the stock is 9941.TW and the date is the 5th of May 2025. The data is about stocks per day.

This dataset is about stocks per day. It has 1 row and is filtered where the stock is LTJ.F and the date is the 2nd of May 2025. It features 4 columns: stock, opening price, and closing price.

This dataset is about stocks per day. It has 1 row and is filtered where the stock is KW and the date is the 26th of March 2025. It features 4 columns: stock, opening price, and closing price.

This dataset is about stocks per day. It has 1 row and is filtered where the stock is 9285.T and the date is the 15th of April 2025. It features 4 columns: stock, opening price, and closing price.

This dataset is about stocks per day, has 4,597 rows and is filtered where the stock is ISMEN.IS. It features 3 columns: date, stock, and closing price. The preview is ordered by date (descending).

This dataset is about stocks per day. It has 1 row and is filtered where the stock is GNE and the date is the 30th of April 2025. It features 3 columns: stock, and closing price.

This dataset is about stocks per day. It has 1 row and is filtered where the stock is LNN and the date is the 5th of May 2025. It features 3 columns: stock, and closing price.

This dataset is about stocks per day. It has 1 row and is filtered where the stock is 4923.T and the date is the 1st of April 2025. It features 4 columns: stock, highest price, and closing price.

This dataset is about stocks per day. It has 1 row and is filtered where the stock is SBES and the date is the 17th of April 2025. It features 3 columns: stock, and closing price.