TIGR
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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 (TIGR) Business Model and Operations Summary
UP Fintech Holding Limited provides online brokerage services focusing on Chinese investors. The company has developed a brokerage platform, which allows investor to trade stocks, options, warrants, and other financial instruments that can be accessed through its APP and website. It offers brokerage and value-added services, including investor education, community engagement, and IR platform; and account management services. The company also provides trade execution, margin financing, and securities lending services; asset management and wealth management; ESOP management; fund license application, product design, asset custody, transaction execution, and funding allocation; fund structuring and management; and IPO underwriting services. In addition, it offers market information, community engagement, investor education, and simulated trading services. The company was founded in 2014 and is based in Beijing, 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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