Netflix Stock Price Time Series Dataset
Stock & Market Data
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About
This dataset provides historical daily stock price data for Netflix (NFLX), spanning a five-year period from 5th February 2018 to 5th February 2022. It is particularly valuable for time series analysis and forecasting stock market trends, a challenging yet highly sought-after area for investors and analysts. The dataset aims to support the development of effective prediction systems, offering crucial insights into the future direction of the stock market to aid investment decisions.
Columns
- Date: The daily trading date.
- Open: The price at which the stock opened on a given day.
- High: The highest price the stock reached on a given day.
- Low: The lowest price the stock reached on a given day.
- Close: The closing price of the stock, adjusted for splits.
- Adj Close: The adjusted closing price, which accounts for splits, dividends, and capital gain distributions.
- Volume: The total volume of stocks traded on a given day.
Distribution
The dataset is provided in a CSV file format and is approximately 74.93 KB in size. It contains 7 columns and comprises 1009 records, representing daily stock prices over the specified period.
Usage
This dataset is ideally suited for:
- Developing and testing stock price prediction models, particularly using time series analysis techniques like LSTM.
- Financial market research and academic studies on stock market behaviour.
- Investment analysis, helping traders and investors forecast future stock market situations.
- Building decision support systems for investment strategies.
Coverage
The dataset covers a time range from 5th February 2018 to 5th February 2022. There is no specific geographic or demographic scope mentioned, as it pertains to the stock of a single company, Netflix.
License
CC0: Public Domain.
Who Can Use It
- Financial analysts and researchers interested in developing and validating stock market prediction models.
- Investors and traders seeking data to inform their investment strategies and understand market trends.
- Data scientists and machine learning practitioners focusing on time series forecasting and financial data analysis.
Dataset Name Suggestions
- Netflix Historical Stock Prices 2018-2022
- Netflix Daily Stock Data (NFLX)
- Netflix Stock Price Time Series Dataset
- NFLX Stock Market Data (2018-2022)
Attributes
Original Data Source: Netflix Stock Price Time Series Dataset