GDYN
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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 (GDYN) Business Model and Operations Summary
Grid Dynamics Holdings, Inc., together with its subsidiaries, provides enterprise-level digital transformation services in the areas of search, analytics, and release automation for Fortune 1000 corporations in North America, Europe, and internationally. It works in collaboration with its clients on digital transformation initiatives that cover strategy consulting, early prototypes, and enterprise-scale delivery of new digital platforms. The company offers technical consulting, software design, development, testing, and internet service operations services. It serves customers that operate in the retail, technology and telecommunications, media, consumer packaged goods/manufacturing, financial services, and other sectors. The company was formerly known as ChaSerg Technology Acquisition Corp. and changed its name to Grid Dynamics Holdings, Inc. Grid Dynamics Holdings, Inc. was founded in 2006 and is headquartered in San Ramon, 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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