Overview

This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.

It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.

Data Structure

The date for every symbol is saved in CSV format with common fields:

• Date - specifies trading date
• Open - opening price
• High - maximum price during the day
• Low - minimum price during the day
• Close - close price adjusted for splits
• Adj Close - adjusted close price adjusted for both dividends and splits.
• Volume - the number of shares that changed hands during a given day

All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv contains some additional metadata for each ticker such as full name.

Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is IPO. The data is about stocks per day.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is Q.MX. The data is about stocks per day.

In 2021, Class I railroad stock closing prices fluctuated, impacted by the COVID-19 pandemic and new policies from the Biden Administration. In July, an executive order (EO) on economic competition was put in place, including provisions requiring rights of way to passenger rail. The measure, with potential to interfere with functioning freight markets, led to a drop in stock prices for Norfolk Southern, CSX, Kansas City Southern, and Union Pacific.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is XHY.TO. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is USNA. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 7832.T. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 3741.T. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 3454.TW. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 2168.T. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 4112.T. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is SAM. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 4997.T. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 2103.TW. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 1514.T. The data is about stocks per day.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is 4243.T. The data is about stocks per day.