FTDR
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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 (FTDR) Business Model and Operations Summary
Frontdoor, Inc. provides home service plans in the United States. The company's home service plans cover the repair or replacement of principal components of approximately 20 home systems and appliances, including electrical, plumbing, water heaters, refrigerators, dishwashers, and ranges/ovens/cooktops, as well as electronics, pools, and spas and pumps; and central heating, ventilation, and air conditioning systems. It also offers ProConnect on-demand home services business and Streem, a technology platform that uses augmented reality, computer vision, and machine learning that helps home service professionals quickly and accurately diagnose breakdowns and complete repairs. The company serves homeowners under the American Home Shield, HSA, Landmark Home Warranty, OneGuard, Frontdoor, and Streem brands. The company was founded in 1971 and is headquartered in Memphis, Tennessee.
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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