Baidu BIDU
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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
Baidu (BIDU) Business Model and Operations Summary
Baidu, Inc. provides online marketing and cloud services through an internet platform in the People's Republic of China. It operates in two segments, Baidu Core and iQIYI. The Baidu Core segment offers search-based, feed-based, and other online marketing services; cloud services; and products and other services from AI initiatives. This segment also operates Haokan, a user generated and professionally produced short videos platform. The iQIYI segment operates an online entertainment video platform that offers original, professionally produced, and partner-generated content. The company was incorporated in 2000 and is headquartered in Beijing, the People's Republic of China.
Key Insights
Baidu (BIDU) Core Market Data and Business Metrics
Latest Closing Price
$81.9Market Cap
$28.85 BillionAverage Trade Volume
4,734,395 SharesTotal Outstanding Shares
2.23 Billion SharesCEO
Mr. Yanhong LiTotal Employees
45,500IPO Date
August 5, 2005Primary Exchange
NASDAQ
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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