VSA
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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 (VSA) Business Model and Operations Summary
TCTM Kids IT Education Inc., through its subsidiaries, engages in the provision of IT-focused education services in Mainland China. It offers supplementary science, technology, engineering, and mathematics (STEM) education programs to young children aged between three and eighteen through online teaching models and instructors from online or offline learning centers. The company also operates an education platform that offers distance instruction, classroom-based learning, and online learning modules. In addition, it operates 61it.cn, an online platform to facilitate the live instruction of STEM education courses; and Tongcheng Online App. The company was formerly known as Tarena International, Inc. and changed its name to TCTM Kids IT Education Inc. in February 2024. TCTM Kids IT Education Inc. was founded in 2002 and is headquartered in Beijing, the People’s Republic of China.
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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