SILC
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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 (SILC) Business Model and Operations Summary
Silicom Ltd., together with its subsidiaries, designs, manufactures, markets, and supports networking and data infrastructure solutions for a range of servers, server-based systems, and communications devices in the United States, North America, Israel, Europe, and the Asia Pacific. It offers server network interface cards; and smart cards, such as smart server adapters, which include redirector and switching cards, encryption and data compression hardware acceleration cards, forward error correction acceleration and offloading cards, time synchronization cards, and field programmable gate array-based cards. The company also provides virtualized and universal customer-premises equipment; edge devices for SD-WAN and NFV deployments; and distributed units for the 5G mobile infrastructure market. It serves original equipment manufacturing, cloud, telco, mobile, and related service provider customers. The company was incorporated in 1987 and is headquartered in Kfar Sava, 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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