BigCommerce BIGC
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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
BigCommerce (BIGC) Business Model and Operations Summary
BigCommerce Holdings Inc is engaged in offering Software-as-a-service (SaaS) e-commerce platform. The company's SaaS platform engages in the creation of online stores by delivering a combination of ease-of-use, enterprise functionality, and flexibility. It powers both the customers' branded ecommerce stores and their cross-channel connections to popular online marketplaces, social networks, and offline point-of-sale systems. The group operates in a single segment covering geographical areas of Americas-U.S.; Americas-other; EMEA; and APAC, of which majority of revenue is generated from Americas-U.S.
Key Insights
BigCommerce (BIGC) Core Market Data and Business Metrics
Latest Closing Price
$5.04Market Cap
$406.90 MillionTotal Outstanding Shares
80.10 Million SharesTotal Employees
1,611IPO Date
August 5, 2020SIC Description
Services-prepackaged SoftwarePrimary Exchange
NASDAQHeadquarters
11305 Four Points Dr, Bldg 2, Suite 100, Austin, TX, 78726
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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