Advanced Energy Industries AEIS
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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
Advanced Energy Industries (AEIS) Business Model and Operations Summary
Advanced Energy Industries, Inc. designs, manufactures, sells, and supports precision power conversion, measurement, and control solutions worldwide. It offers plasma power solutions, including direct current (DC), pulsed DC, low frequency alternating current, high voltage, and radio frequency (RF) power supplies, as well as RF power supplies, RF matching networks, and RF instrumentation products; and remote plasma sources for reactive gas applications. The company also provides power control modules and thermal instrumentation products for rapid thermal processing, chemical vapor deposition, epitaxy, crystal growing, and chemical processing, as well as metal, carbon fiber, and glass manufacturing and other industrial power applications; high voltage DC-DC products for semiconductor wafer processing and metrology, electrostatic clamping of substrates, scientific instrumentation, mass spectrometry, and X-ray systems for industrial and analytical applications; and low voltage DC-DC board mounted solutions for use in healthcare, telecommunications, test and measurement, instrumentation, and industrial equipment applications, as well as distributed power in server and storage systems. In addition, it offers gas sensing and monitoring products for the energy market, air quality monitoring, and automobile emission monitoring and testing; and embedded power products for medical equipment or IEC 60950-1 for information technology equipment. Further, it offers conversions, upgrades, and refurbishments and used equipment to companies, as well as repair services. The company provides its products through a direct sales force, independent sales representatives, channel partners, and distributors. Advanced Energy Industries, Inc. was incorporated in 1981 and is headquartered in Denver, Colorado.
Key Insights
Advanced Energy Industries (AEIS) Core Market Data and Business Metrics
Latest Closing Price
$115.94Market Cap
$4.47 BillionAverage Trade Volume
364,963 SharesTotal Outstanding Shares
37.66 Million SharesCEO
Mr. Stephen D. Kelley J.D.Total Employees
10,000IPO Date
November 17, 1995SIC Description
Electronic Components, NecPrimary Exchange
NASDAQHeadquarters
Attn: Paul Oldham, Denver, CO, 80202
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
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
Execution Date | Split Amount |
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