Jumia Technologies AG JMIA
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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
Jumia Technologies AG (JMIA) Business Model and Operations Summary
Jumia Technologies AG is the pan-African e-commerce platform. The company's platform consists of a marketplace, which connects sellers with consumers. Its logistics service enables the shipment and delivery of packages from sellers to consumers, and the company's payment service facilitates transactions among participants active on its platform in selected markets. Jumia generates revenue from Sales of goods, Commissions, Fulfillment, Value-added services, and Marketing & Advertising. Its geographical segments are West Africa, North Africa, East & South Africa, Europe, and United Arab Emirates. The firm generates majority of its revenue from the West Africa segment.
Key Insights
Jumia Technologies AG (JMIA) Core Market Data and Business Metrics
Latest Closing Price
$3.25Market Cap
$389.43 MillionTotal Outstanding Shares
244.93 Million SharesTotal Employees
2,163IPO Date
April 11, 2019Primary Exchange
New York Stock Exchange
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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