Netflix NFLX
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Netflix (NFLX) Business Model and Operations Summary
Netflix, Inc. provides entertainment services. It offers TV series, documentaries, feature films, and mobile games across various genres and languages. The company provides members the ability to receive streaming content through a host of internet-connected devices, including TVs, digital video players, television set-top boxes, and mobile devices. It also provides DVDs-by-mail membership services in the United States. The company has approximately 222 million paid members in 190 countries. Netflix, Inc. was incorporated in 1997 and is headquartered in Los Gatos, California.
Key Insights
Netflix (NFLX) Core Market Data and Business Metrics
Latest Closing Price
$1279.11Market Cap
$521.47 BillionAverage Trade Volume
4,587,730 SharesCEO
Mr. Theodore A. SarandosTotal Employees
14,000IPO Date
May 23, 2002SIC Description
Services-video Tape RentalPrimary Exchange
NASDAQHeadquarters
121 Albright Way, Los Gatos, CA, 95032
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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