Diebold Nixdorf DBD
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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
Diebold Nixdorf (DBD) Business Model and Operations Summary
Diebold Nixdorf Inc is engaged in providing software and hardware services for financial and retail industries. The customer segments of the company are Banking, which offers integrated solutions for financial institutions, and Retail, which offers solutions, software, and services that improve the checkout process for retailers. A majority of its revenue is generated from the Banking segment. Geographically, the company generates maximum revenue from Europe, Middle East, and Africa (EMEA), followed by the Americas and the Asia-Pacific region.
Key Insights
Diebold Nixdorf (DBD) Core Market Data and Business Metrics
Latest Closing Price
$48.17Market Cap
$1.82 BillionTotal Outstanding Shares
37.26 Million SharesTotal Employees
21,000IPO Date
August 14, 2023SIC Description
Calculating & Accounting Machines (no Electronic Computers)Primary Exchange
New York Stock ExchangeHeadquarters
350 Orchard Ave Ne, North Canton, OH, 44720
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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