RMAX
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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 (RMAX) Business Model and Operations Summary
RE/MAX Holdings, Inc. operates as a franchisor of real estate and mortgage brokerage services in the United States, Canada, and internationally. The company operates through three segments: Real Estate, Mortgage, and Marketing Funds. It offers real estate brokerage franchising services under the RE/MAX brand; mortgage brokerage services to real estate brokers, real estate professionals, mortgage professionals, and other investors under the Motto Mortgage brand; and mortgage loan processing software and services under the wemlo brand. In addition, the company provides First mobile app, which integrates a suite of digital products that enables agents, brokers, and teams to establish and manage client relationships; RE/MAX University platform, a learning hub designed to help each agent in their professional expertise; and Booj platform. The company was founded in 1973 and is headquartered in Denver, Colorado.
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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