Grab GRABW
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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
Grab (GRABW) Business Model and Operations Summary
Founded in 2012, Grab provides ride-sharing services, food and grocery delivery, and financial services (payments, consumer loans, and enterprise offerings) in eight Southeast-Asian countries through its mobile platform. The company partners with merchants and riders, connecting them with consumers while charging commission to both sides. Grab has a leading market share in and derives 89% of its revenue from its core businesses, ride-sharing and food delivery. Singapore and Malaysia contributed 58% of revenue as of end-2021. Grab's main competitors in Southeast Asia are Foodpanda and Gojek, the ride-sharing arm of GoTo. Its financial services business is still in its nascent stage and provides minimal revenue currently. The company now also generates advertising revenue.
Key Insights
Grab (GRABW) Core Market Data and Business Metrics
Latest Closing Price
$0.385Total Outstanding Shares
4.12 Billion SharesTotal Employees
11,267IPO Date
December 2, 2021Primary Exchange
NASDAQ
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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