Title: Stock Prices of 500 Biggest Companies by Market Cap (Last 5 Years)

Description: This dataset comprises historical stock market data extracted from Yahoo Finance, spanning a period of five years. It includes daily records of stock performance metrics for the top 500 companies based on market capitalization.

Attributes: 1. Date: The date corresponding to the recorded stock market data. 2. Open: The opening price of the stock on a given date. 3. High: The highest price of the stock reached during the trading day. 4. Low: The lowest price of the stock observed during the trading day. 5. Close: The closing price of the stock on a specific date. 6. Volume: The volume of shares traded on the given date. 7. Dividends: Any dividend payments made by the company on that date (if applicable). 8. Stock Splits: Information regarding any stock splits occurring on that date. 9. Company: Ticker symbol or identifier representing the respective company.

Usefulness: - Investors and analysts can leverage this dataset to conduct various analyses such as trend analysis, volatility assessment, and predictive modeling. - Researchers can explore correlations between stock prices of different companies, sector-wise performance, and market trends over the specified duration. - Machine learning enthusiasts can employ this dataset for developing predictive models for stock price forecasting or anomaly detection.

Note: Prior to using this dataset, it's recommended to perform data cleaning, handling missing values, and verifying the consistency of data across companies and time periods.

License: The dataset is sourced from Yahoo Finance and is provided for analytical purposes. Refer to Yahoo Finance's terms of use for further details on data usage and licensing.

The "yahoo_finance_dataset(2018-2023)" dataset is a financial dataset containing daily stock market data for multiple assets such as equities, ETFs, and indexes. It spans from April 1, 2018 to March 31, 2023, and contains 1257 rows and 7 columns. The data was sourced from Yahoo Finance, and the purpose of the dataset is to provide researchers, analysts, and investors with a comprehensive dataset that they can use to analyze stock market trends, identify patterns, and develop investment strategies. The dataset can be used for various tasks, including stock price prediction, trend analysis, portfolio optimization, and risk management. The dataset is provided in XLSX format, which makes it easy to import into various data analysis tools, including Python, R, and Excel.

The dataset includes the following columns:

Date: The date on which the stock market data was recorded. Open: The opening price of the asset on the given date. High: The highest price of the asset on the given date. Low: The lowest price of the asset on the given date. Close*: The closing price of the asset on the given date. Note that this price does not take into account any after-hours trading that may have occurred after the market officially closed. Adj Close**: The adjusted closing price of the asset on the given date. This price takes into account any dividends, stock splits, or other corporate actions that may have occurred, which can affect the stock price. Volume: The total number of shares of the asset that were traded on the given date.

Yahoo Finance dataset provides information on top traded companies. It contains financial information on each company including stock ticker and risk scores and general company information such as company location and industry. Each record in the dataset is a unique stock, where multiple stocks can be related to the same company. Yahoo Finance dataset attributes include: company name, company ID, entity type, summary, stock ticker, currency, earnings, exchange, closing price, previous close, open, bid, ask, day range, week range, volume, and much more.

Amazon inc and Intel inc.

Dataset

This dataset was created by Yasir Hussein Shakir

Contents

1) name - The full name of the company or stock listed in the dataset.Example: NVIDIA Corporation. dtype -- object

2) symbol - The stock ticker symbol, which is a unique identifier for the company in the stock exchange. Example: NVDA (NVIDIA). dtype -- object

3) price - The current trading price of the stock in USD.Example: 131.29. dtype -- float64

4) change - The net change in the stock price during the last trading session, expressed in USD. Positive values indicate an increase, while negative values indicate a decrease in price. Example: -1.54. dtype -- flaot64

5) volume - The total number of shares traded for the stock during the trading session.Represented in millions (e.g., 197.102M = 197,102,000 shares). Example: 197.102M. dtype -- object

6) market_cap - The market capitalization of the company, calculated as the total number of outstanding shares multiplied by the stock's price.Represented in trillions (T), billions (B), or other notations.Example: 3.202T. dtype -- object

7) pe_ratio - The Price-to-Earnings ratio, a financial metric to evaluate a company's profitability relative to its stock price.A value of -- indicates that the P/E ratio is unavailable, often because the company is not profitable.Example: 44.66. dtype -- float

The Yahoo finance stock price prediction dataset contains various financial metrics.

A collective dataset derived from Yahoo Finance for:

1. Stock prices
2. Raw material prices
3. Volatility indices

For multiple historical scenarios.

Monthly Trending Stocks Dataset

A ranked dataset of the most trending stocks on Yahoo Finance from July 2024 to October 2025, based on weighted scoring of their monthly trending appearances in Yahoo Finance.

  📊 Dataset Overview

Total Entries: 7,993 ranked stocks Time Period: July 2024 - October 2025 (16 months) Source: Wayback Machine snapshots of Yahoo Finance Trending Stocks Data Granularity: Monthly rankings Data Order: Sorted by month (descending: Oct 2025 → July… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/trending-stocks-yahoo-finance.

Dataset

This dataset was created by Maimona Musad

Contents

This dataset contains CSV files of all tickers available via the Yahoo Finance API (stocks, currencies, cryptocurrencies, ETFs, etc.) and their associated name, performance, volume and market cap over the past 5/10 years. The 10_year_results.csv and 5_year_results.csv are filtered for assets with current market cap $1B+, decade-old volume $1K+, current volume $100K+, and sorted by top performance.

Explore how Yahoo Finance serves as a key resource for tracking soybeans, offering real-time analytics, historical insights, and expert commentary on the global soybean market's trends, supply chain dynamics, and economic impact.

Explore the intricacies of wheat as a global commodity on Yahoo Finance, offering live price updates, historical data, and market insights. Discover how geopolitical events, weather conditions, and supply chain logistics influence wheat prices and affect various economic sectors. Stay informed with expert analyses and community discussions, providing comprehensive resources for both novice and seasoned investors in the agricultural markets.

The file contains 24,821 Mutual Funds and 1,680 ETFs with general aspects (as Total Net Assets, management company and size), portfolio indicators (as cash, stocks, bonds, and sectors), returns (as yeartodate, 2020-11) and financial ratios (as price/earning, Treynor and Sharpe ratios, alpha, and beta). The data set is 1.7 GB large.

Explore wheat prices on Yahoo Finance and understand the various factors influencing market trends, from global demand and weather conditions to government policies and financial analysis tools. Discover real-time data and insightful charting on the commodity's performance.

Dataset

This dataset was created by Ghazouani Ahmed

Contents

Use this Data set for sentiment analysis from news articles and predict whether the stock price goes up or not. Use features like Title and content for NLP and label as target column. This is time series data. The stock price was scraped via Yahoo Finance and news data was scraped via dataset from Kaggle. The label is created as " 1 " if the close price is greater than the open price else it is " 0 ".

A survey conducted between 2022 and 2024 among consumers in the United States found that most of Yahoo! users visit the platform every day. In 2024, over 20 percent of respondents reported accessing Yahoo! services such as Yahoo Mail and Yahoo Finance daily. This represents a marginal increase compared to the usage recorded in the previous years. While approximately 40 percent of respondents reporting to have never used Yahoo! websites, daily and weekly usage remained more common than monthly access.

This is the name of the 38 global main stock indexes in the world. We collected from Yahoo! Finance. For the convenience of expression and computation later, we numbered it. For each item, the front is its serial number, followed by the corresponding stock index.

This statistic gives information on Yahoo!'s net income from 2004 to 2016. In the last reported year, the internet company's GAAP net loss was *** million US dollars, down from a net income of *** billion US dollars in 2014.

Yahoo has had its share of financial troubles, in part due to Google’s almost complete domination of market sectors where Yahoo used to be an important player, such as the search engine market. For example, as of April 2015, just under * percent of worldwide internet users search the web using Yahoo’s service, while more than ** percent use Google Search. But despite its ups and downs, the company has remained one of the most relevant multinational technology companies in the world. In 2014, Yahoo’s net income was a reported *** billion U.S. dollars, up from *** billion in the previous year. That same year, the company’s yearly revenue however was the second-lowest in the past decade – *** billion U.S. dollars. Especially the second quarter of 2014 displays lower than ever revenues for the company, as compared to previous years – just slightly over * billion U.S. dollars. According to the most recent report regarding Yahoo’s quarterly net income, the company generated a **** billion U.S. dollars profit in the third quarter of 2014, as a result the company's sale of Alibaba shares, but also a net loss of ***** million U.S. dollars in the second quarter of 2015. Yahoo was founded in the mid ***** in California, in the midst of the Silicon Valley technological boom. It is mostly known for its search engine, Yahoo Search, and the Yahoo web portal, featuring such services as Yahoo Finance, Yahoo News, Yahoo Answers and most notably Yahoo Mail. The company, which has made a lot of acquisitions since its modest beginnings, also provides advertising services, online mapping and video sharing. Since it acquired Tumblr in 2013, the company has also started to move into the social media sector. As of 2015, Yahoo is the second-most popular website in the United States, after Google, with more than *** million unique visitors per month on all of its properties combined.