CS Disco LAW
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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
CS Disco (LAW) Business Model and Operations Summary
CS Disco Inc provides a cloud-native, artificial intelligence-powered legal solution that simplifies discovery, legal document review, and case management for enterprises, law firms, legal services providers, and governments. Its revenue-generating activities directly relate to the sale and support of legal solutions. It has two primary types of contractual arrangements: usage-based and subscription solutions. The usage-based revenue is derived from contracts under which customers are billed monthly based on their usage. Subscription revenue is derived from contracts where customers are contractually committed to a minimum data volume over a period of time.
Key Insights
CS Disco (LAW) Core Market Data and Business Metrics
Latest Closing Price
$3.94Market Cap
$239.58 MillionTotal Outstanding Shares
60.81 Million SharesTotal Employees
561IPO Date
July 21, 2021SIC Description
Services-prepackaged SoftwarePrimary Exchange
New York Stock ExchangeHeadquarters
111 Congress Ave, Austin, TX, 78701
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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