NASDAQ:TIGR
UP Fintech Holding Limited Stock Price (Quote)
$4.25
+0.105 (+2.53%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.53 | $4.72 | Friday, 31st May 2024 TIGR stock ended at $4.25. This is 2.53% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 4.25% from a day low at $4.12 to a day high of $4.29. |
90 days | $3.10 | $5.05 | |
52 weeks | $2.74 | $5.80 |
Historical UP Fintech Holding Limited prices
Date | Open | High | Low | Close | Volume |
Jan 16, 2020 | $3.39 | $4.35 | $3.39 | $4.32 | 2 787 815 |
Jan 15, 2020 | $3.35 | $3.47 | $3.35 | $3.47 | 309 412 |
Jan 14, 2020 | $3.40 | $3.41 | $3.31 | $3.34 | 144 445 |
Jan 13, 2020 | $3.39 | $3.44 | $3.33 | $3.36 | 258 028 |
Jan 10, 2020 | $3.40 | $3.40 | $3.26 | $3.34 | 310 430 |
Jan 09, 2020 | $3.40 | $3.40 | $3.33 | $3.36 | 283 062 |
Jan 08, 2020 | $3.35 | $3.46 | $3.33 | $3.38 | 301 604 |
Jan 07, 2020 | $3.42 | $3.47 | $3.36 | $3.37 | 278 405 |
Jan 06, 2020 | $3.48 | $3.48 | $3.36 | $3.42 | 269 653 |
Jan 03, 2020 | $3.49 | $3.59 | $3.49 | $3.51 | 204 462 |
Jan 02, 2020 | $3.51 | $3.66 | $3.44 | $3.60 | 398 859 |
Dec 31, 2019 | $3.60 | $3.60 | $3.46 | $3.55 | 259 514 |
Dec 30, 2019 | $3.54 | $3.61 | $3.44 | $3.60 | 493 369 |
Dec 27, 2019 | $3.54 | $3.54 | $3.39 | $3.39 | 282 514 |
Dec 26, 2019 | $3.56 | $3.60 | $3.48 | $3.50 | 455 569 |
Dec 24, 2019 | $3.60 | $3.64 | $3.56 | $3.57 | 103 912 |
Dec 23, 2019 | $3.74 | $3.74 | $3.52 | $3.62 | 314 357 |
Dec 20, 2019 | $3.59 | $3.78 | $3.58 | $3.75 | 588 481 |
Dec 19, 2019 | $3.42 | $3.58 | $3.42 | $3.58 | 432 895 |
Dec 18, 2019 | $3.44 | $3.50 | $3.41 | $3.45 | 169 530 |
Dec 17, 2019 | $3.39 | $3.47 | $3.35 | $3.47 | 365 964 |
Dec 16, 2019 | $3.36 | $3.39 | $3.33 | $3.35 | 224 875 |
Dec 13, 2019 | $3.33 | $3.36 | $3.29 | $3.30 | 210 277 |
Dec 12, 2019 | $3.30 | $3.31 | $3.26 | $3.31 | 126 946 |
Dec 11, 2019 | $3.32 | $3.32 | $3.26 | $3.29 | 143 210 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use TIGR stock historical prices to predict future price movements?
Trend Analysis: Examine the TIGR stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the TIGR stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.