First Industrial Realty Trust FR
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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
First Industrial Realty Trust (FR) Business Model and Operations Summary
First Industrial Realty Trust, Inc. (NYSE: FR) is a leading fully integrated owner, operator, and developer of industrial real estate with a track record of providing industry-leading customer service to multinational corporations and regional customers. Across major markets in the United States, our local market experts manage, lease, buy, (re)develop, and sell bulk and regional distribution centers, light industrial, and other industrial facility types. In total, we own and have under development approximately 64.1 million square feet of industrial space as of September 30, 2020.
Key Insights
First Industrial Realty Trust (FR) Core Market Data and Business Metrics
Latest Closing Price
$49.43Market Cap
$6.49 BillionAverage Trade Volume
1,380,383 SharesTotal Outstanding Shares
132.40 Million SharesCEO
Mr. Peter E. BaccileTotal Employees
151IPO Date
June 30, 1994SIC Description
Real Estate Investment TrustsPrimary Exchange
New York Stock ExchangeHeadquarters
1 North Wacker Drive, Chicago, IL, 60606
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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