PLAB
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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 (PLAB) Business Model and Operations Summary
Photronics, Inc., together with its subsidiaries, engages in the manufacture and sale of photomask products and services in the United States, Taiwan, Korea, Europe, China, and internationally. The company offers photomasks that are used in the manufacture of integrated circuits and flat panel displays (FPDs); and to transfer circuit patterns onto semiconductor wafers, FDP substrates, and other types of electrical and optical components. It sells its products to semiconductor and FPD manufacturers, designers, and foundries, as well as to other high-performance electronics manufacturers through its sales personnel and customer service representatives. The company was formerly known as Photronic Labs, Inc. and changed its name to Photronics, Inc. in 1990. Photronics, Inc. was incorporated in 1969 and is based in Brookfield, Connecticut.
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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