TSEM
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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
undefined (TSEM) Business Model and Operations Summary
Tower Semiconductor Ltd., an independent semiconductor foundry, manufactures and markets analog intensive mixed-signal semiconductor devices in the United States, Japan, other Asia countries, and Europe. It provides various customizable process technologies, including SiGe, BiCMOS, mixed signal/CMOS, RF CMOS, CMOS image sensor, integrated power management, and MEMS. The company also offers wafer fabrication services and design enablement platform for design cycle, as well as transfer optimization and development process services to integrated device manufacturers and fabless companies. It serves various markets, such as consumer electronics, personal computers, communications, automotive, industrial, aerospace, military, and medical device products. The company was incorporated in 1993 and is headquartered in Migdal Haemek, Israel.
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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