Bentley Systems BSY
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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
Bentley Systems (BSY) Business Model and Operations Summary
Bentley Systems is a software vendor that caters to engineers, architects, constructors, and geospatial professionals by enabling design, modeling, simulation, project management, and data management of infrastructure assets. The firm delivers solutions via the cloud, desktop, and hybrid environments. While Bentley is relatively small in comparison with peers like Autodesk, it shines in core specialty areas, like bridge or rail design, as opposed to being more broad-based in its applications. Bentley's largest end market is the public works and utilities sector, which represents approximately two thirds of revenue.
Key Insights
Bentley Systems (BSY) Core Market Data and Business Metrics
Latest Closing Price
$47.73Market Cap
$14.67 BillionTotal Outstanding Shares
291.84 Million SharesTotal Employees
5,500IPO Date
September 23, 2020SIC Description
Services-prepackaged SoftwarePrimary Exchange
NASDAQHeadquarters
685 Stockton Drive, Exton, PA, 19341
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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