BBAI
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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 (BBAI) Business Model and Operations Summary
BigBear.ai Holdings, Inc. provides artificial intelligence and machine learning for decision support. The company operates through two segments, Cyber & Engineering and Analytics. The Cyber & Engineering segment offers high-end technology and management consulting services. It focuses in the areas of cloud engineering and enterprise IT, cybersecurity, computer network operations and wireless, systems engineering, and strategy and program planning. The Analytics segment provides high-end technology and consulting services. This segment focuses on the areas of big data computing and analytical solutions, including predictive and prescriptive analytics solutions. Its solutions assist customers in aggregating, interpreting, and synthesizing data to enable real-time decision-making capabilities. The company is headquartered in Columbia, Maryland.
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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