Rekor Systems REKR
$
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
Rekor Systems (REKR) Business Model and Operations Summary
Rekor Systems, Inc., through its subsidiaries, develops and implements transformative mission-critical intelligent infrastructure solutions and services for transportation management, public safety, and commercial markets in the United States, Canada, and internationally. It offers Rekor One Traffic Management solutions, including software modules for roadway monitoring and response, an incident detection and management solution; traffic and infrastructure analytics to capture data for roadway and infrastructure analytics and planning; and live and archival traffic view for situational awareness of what is happening on roadways. The company also provides Rekor One Public Safety solutions comprising contactless compliance application that delivers a turnkey information and citation management solution to cities, states, and municipalities for primary and secondary offenses; Rekor scout that offers accurate license plate and vehicle recognition on any IP, traffic, or security camera, and can be subscribed to separately for use with existing camera or sensor systems; and Rekor blue, a smartphone app that retrieves accurate vehicle license plate number and state of registration, and automatically organizes information by sessions, capturing date, location, and timestamp for law enforcement. In addition, it offers Rekor CarCheck, an API of its vehicle recognition technology to respond with accurate license plate data, vehicle make, model, body type, and color for commercial applications; and AutoNotice, a cloud-based financial management application to record payments in the system and provide functionality to research, manage unapplied payments, and reconcile receipts. Further, the company provides hardware products, which includes Rekor Edge Series, a family of mountable vehicle recognition systems that seamlessly capture and process vehicle data. Rekor Systems, Inc. was founded in 2017 and is headquartered in Columbia, Maryland.
Key Insights
Rekor Systems (REKR) Core Market Data and Business Metrics
Latest Closing Price
$1.01Market Cap
$127.52 MillionAverage Trade Volume
4,093,456 SharesTotal Outstanding Shares
118.08 Million SharesCEO
Mr. Robert Alan BermanTotal Employees
351IPO Date
August 28, 2017SIC Description
Communications Equipment, NecPrimary Exchange
NASDAQHeadquarters
7172 Columbia Gateway Drive, Columbia, MD, 21046
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
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