Yatra Online YTRA
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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
Yatra Online (YTRA) Business Model and Operations Summary
Yatra Online Inc is an Indian consumer travel platform provider and online travel agent. The company is organized into the following business segments; Air Ticketing which derives maximum revenue, Hotels and Packages, and Other Services. It mainly provides travel-related services, which include domestic and international air ticketing, hotel bookings, homestays, holiday packages, bus ticketing, rail ticketing, activities and ancillary services. It also involves hosting advertisements on its internet websites, the sale of rail and bus tickets, and facilitating website access to travel insurance companies. Some of its applications include Yatra Mini, Yatra Web Check-In, Yatra Corporate, and Travelguru HomeStay.
Key Insights
Yatra Online (YTRA) Core Market Data and Business Metrics
Latest Closing Price
$0.9899Market Cap
$52.69 MillionTotal Outstanding Shares
61.92 Million SharesTotal Employees
1,268IPO Date
October 3, 2014Primary 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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