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Media Giant Netflix Stock Performance Record
Stock & Market Data
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About
Historical daily stock price data for Netflix, Inc. (NFLX) traded on the Nasdaq. The data spans a significant period, detailing the performance of the American media company from 23 May 2002 through to 25 February 2025. Netflix, founded in 1997, operates a leading over-the-top subscription video on-demand service globally, delivering digital content to a wide array of electronic devices. This highly detailed dataset supports analysis of market trends and the financial evolution of a pivotal streaming giant.
Columns
- Date: The specific calendar date of the trading activity.
- Open: The starting price of the stock on the trading day.
- High: The highest price reached by the stock during the trading day.
- Low: The lowest price reached by the stock during the trading day.
- Close: The final recorded price of the stock at the close of the trading day.
- Adj Close: The closing price adjusted for corporate actions such as dividends and stock splits.
- Volume: The total number of shares traded during the day.
Distribution
The primary data file is presented in a standard format, typically CSV. The structure includes 7 distinct columns. The data set contains 5,729 valid records for the Date attribute, providing a rich time series for analysis. The quantity of records for price and volume attributes is 5,727.
Usage
This resource is ideally suited for quantitative analysis, financial modelling, and predictive forecasting within the finance sector. It enables users to backtest various investment strategies against real-world market volatility and long-term trends. It is valuable for academic studies examining the growth and market performance of the digital streaming media industry.
Coverage
The data covers daily stock trading activities on the Nasdaq exchange. The time span starts on 23 May 2002 and concludes on 25 February 2025. This allows for detailed study of over two decades of financial history for Netflix Inc.
License
CC0: Public Domain
Who Can Use It
- Investment Managers: For evaluating risk, portfolio allocation, and benchmarking strategies.
- Data Scientists and Machine Learning Practitioners: For developing and training sophisticated time-series models focused on stock price prediction.
- Financial Journalists and Economists: For reporting on long-term market trends and corporate financial history.
Dataset Name Suggestions
- Netflix Daily Stock Price History 2002-2025
- NFLX Historical Trading Data Nasdaq
- Media Giant Netflix Stock Performance Record
Attributes
Original Data Source: Media Giant Netflix Stock Performance Record
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