Kadant KAI
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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
Kadant (KAI) Business Model and Operations Summary
Kadant Inc. supplies process and engineering equipment for papermaking, recycling, lumber manufacturing, and related industries. The company's three reportable segments are the Flow Control segment which consists of the fluid-handling and doctoring, cleaning, & filtration product lines; the Industrial Processing segment which consists of the wood processing and stock-preparation product lines; and Material handling systems, which provides conveyor-belt equipment for industries such as mining, food processing, and packaging. The company has a geographic presence in the U.S., China, Asia, Germany, Canada, and Others.
Key Insights
Kadant (KAI) Core Market Data and Business Metrics
Latest Closing Price
$313.91Market Cap
$3.80 BillionTotal Outstanding Shares
11.78 Million SharesTotal Employees
3,500IPO Date
November 3, 1992SIC Description
Special Industry Machinery (no Metalworking Machinery)Primary Exchange
New York Stock ExchangeHeadquarters
One Technology Park Drive, Westford, MA, 01886
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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