BlueLinx BXC
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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
BlueLinx (BXC) Business Model and Operations Summary
BlueLinx Holdings Inc is engaged in the wholesale distribution of residential and commercial building products. Its business products are split into two categories: Structural products include items such as lumber, plywood, oriented strand board, rebar, and remesh and Specialty products include items such as engineered wood, siding, millwork, outdoor living, specialty lumber and panels, and industrial products. The company's operations are carried out throughout the United States.
Key Insights
BlueLinx (BXC) Core Market Data and Business Metrics
Latest Closing Price
$66.92Market Cap
$546.71 MillionTotal Outstanding Shares
8.02 Million SharesTotal Employees
2,000IPO Date
December 14, 2004SIC Description
Wholesale-lumber, Plywood, Millwork & Wood PanelsPrimary Exchange
New York Stock ExchangeHeadquarters
1950 Spectrum Circle, Marietta, GA, 30067
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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