TOP
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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 (TOP) Business Model and Operations Summary
TOP Financial Group Limited, through its subsidiaries, operates as an online brokerage company in Hong Kong. It is involved in the trading of local and overseas equities, futures, and options products; and the provision of brokerage and value-added services, including trade order placement and execution, account management, and customer support services. The company provides a range of futures products, such as index futures, forex futures, agricultural product futures, energy futures, and precious metal futures. It also offers stock brokerage, options brokerage, consulting services, currency exchange services, structured note subscriber services, and margin financing services. The company was formerly known as Zhong Yang Financial Group Limited and changed its name to TOP Financial Group Limited in July 2022. The company was founded in 2015 and is based in Hong Kong, Hong Kong. TOP Financial Group Limited is a subsidiary of Zhong Yang Holdings (BVI) Limited.
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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