SIXD
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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 (SIXD) Business Model and Operations Summary
6D Global Technologies, Inc. provides digital business solutions serving the digital marketing and technology needs of global organizations worldwide. The company's service portfolio includes mobile application development, digital and content management, marketing data analysis, marketing and creative solutions, and information technology (IT) infrastructure staffing. It provides Web content management, Web analytics, marketing automation, mobile applications, business intelligence, and marketing cloud services. The company also offers contract and contract-to-hire IT professional staffing services. It serves the Fortune 500 commercial, nonprofit, and public sector enterprises in various industries comprising healthcare, consumer, education, manufacturing, and high tech sectors. 6D Global Technologies, Inc. is headquartered in New York, New York.
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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