LYFT
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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 (LYFT) Business Model and Operations Summary
Lyft, Inc. operates a peer-to-peer marketplace for on-demand ridesharing in the United States and Canada. The company operates multimodal transportation networks that offer riders personalized and on-demand access to various mobility options. It provides Ridesharing Marketplace, which connects drivers with riders; Express Drive, a flexible car rentals program for drivers; Lyft Rentals that provides vehicles for long-distance trips; and a network of shared bikes and scooters in various cities to address the needs of riders for short trips. The company also integrates third-party public transit data into the Lyft app to offer riders various transportation options. In addition, it offers access to autonomous vehicles; centralized tools and enterprise transportation solutions, such as concierge transportation solutions for organizations; Lyft Pink subscription plans; Lyft Pass commuter programs; first-mile and last-mile services; and university safe rides programs. The company was formerly known as Zimride, Inc. and changed its name to Lyft, Inc. in April 2013. Lyft, Inc. was incorporated in 2007 and is headquartered in San Francisco, California.
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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