Open Text OTEX

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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

Open Text (OTEX) Business Model and Operations Summary
Open Text Corporation engages in the designs, develops, markets, and sells information management software and solutions. It offers content services; business network that manages data within the organization and outside the firewall; security and protection solutions for defending against cyber threats, and preparing for business continuity and response in the event of a breach; digital investigation and forensic security solutions; OpenText security solutions to address information cyber resilience needs; Carbonite and Webroot products; and OpenText Information Management software platform. The company also provides eDiscovery platform that provides forensics and unstructured data analytics; OpenText Developer Cloud; key developer API services; AI and analytics that leverages structured or unstructured data; digital process automation solutions, which enables organizations to transform into digital data-driven businesses; and OpenText Digital Experience platform. In addition, it offers customer support programs, including access to software upgrades, a knowledge base, discussions, product information, and an online mechanism to post and review trouble tickets; and consulting and learning services relating to the implementation, training, and integration of its licensed product offerings, as well as cloud services. The company serves organizations, enterprise and mid-market companies, public sector agencies, small and medium-sized businesses, and direct consumers in Canada, the United States, the United Kingdom, Germany, rest of Europe, the Middle East, Africa, and internationally. It has strategic partnerships with SAP SE, Google Cloud, Amazon AWS, Microsoft Corporation, Oracle Corporation, Salesforce.com Corporation, Accenture plc, ATOS, Capgemini Technology Services SAS, Cognizant Technology Solutions U.S. Corp., Deloitte Consulting LLP, and Tata Consultancy Services. Open Text Corporation was incorporated in 1991 and is headquartered in Waterloo, Canada.

Key Insights

Open Text (OTEX) Core Market Data and Business Metrics
  • Latest Closing Price

    $29.82
  • Market Cap

    $7.48 Billion
  • Average Daily Volume

    1,417,803 Shares
  • 52-Week Range

    $22.79-$34.2
  • Total Outstanding Shares

    256.50 Million Shares
  • CEO

    Mark J. Barrenechea
  • Total Employees

    12,900
  • IPO Date

    January 24, 1996
  • SIC Description

    Services-computer Integrated Systems Design
  • Headquarters

    275 Frank Tompa Drive, Ontario Canada, A6, N2L 0A1

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

Short Interest

Short Interest

This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.

Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.

Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.

Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.

Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.

Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential

Revenue Breakdown

Distribution of revenue across unique business segments & geographies

Historical Stock Splits

Execution DateSplit Amount

Historical Dividends

Recent Headlines From The Web

Latest news, press releases, and media coverage about OTEX from trusted financial sources