Innodata INOD
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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
Innodata (INOD) Business Model and Operations Summary
Innodata Inc is a data engineering company. It is helping companies deploy and integrate AI into their operations and products and providing AI-enabled industry platforms. The Company's operations are classified in three reporting segments: Digital Data Solutions (DDS), Synodex and Agility. Key revenue is generated from DDS segment provides AI data preparation services, collecting or creating training data, annotating training data, and training AI algorithms for its customers, and AI model deployment and integration. It also provides a range of data engineering support services including data transformation, data curation, data hygiene, data consolidation, data extraction, data compliance, and master data management.
Key Insights
Innodata (INOD) Core Market Data and Business Metrics
Latest Closing Price
$39.47Market Cap
$1.27 BillionTotal Outstanding Shares
31.75 Million SharesTotal Employees
6,648IPO Date
August 10, 1993SIC Description
Services-computer Processing & Data PreparationPrimary Exchange
NASDAQHeadquarters
55 Challenger Road, Ridgefield Park, NJ, 07660
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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