NASDAQ:TIGR
UP Fintech Holding Limited Stock Price (Quote)
$4.48
-0.0300 (-0.666%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.14 | $4.72 | Monday, 20th May 2024 TIGR stock ended at $4.48. This is 0.666% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 3.85% from a day low at $4.42 to a day high of $4.59. |
90 days | $3.10 | $5.05 | |
52 weeks | $2.39 | $5.80 |
Date | Open | High | Low | Close | Volume |
Jun 28, 2023 | $2.85 | $2.86 | $2.80 | $2.86 | 263 116 |
Jun 27, 2023 | $2.76 | $2.89 | $2.76 | $2.87 | 622 992 |
Jun 26, 2023 | $2.77 | $2.82 | $2.74 | $2.75 | 266 047 |
Jun 23, 2023 | $2.80 | $2.80 | $2.74 | $2.76 | 353 600 |
Jun 22, 2023 | $2.82 | $2.86 | $2.80 | $2.84 | 321 022 |
Jun 21, 2023 | $2.93 | $2.94 | $2.81 | $2.85 | 572 627 |
Jun 20, 2023 | $3.07 | $3.07 | $2.90 | $2.91 | 1 201 384 |
Jun 16, 2023 | $3.23 | $3.23 | $3.07 | $3.07 | 662 140 |
Jun 15, 2023 | $3.13 | $3.27 | $3.12 | $3.20 | 1 205 120 |
Jun 14, 2023 | $3.16 | $3.19 | $3.05 | $3.11 | 773 994 |
Jun 13, 2023 | $3.16 | $3.18 | $3.07 | $3.16 | 742 852 |
Jun 12, 2023 | $3.20 | $3.30 | $3.08 | $3.10 | 1 023 391 |
Jun 09, 2023 | $3.20 | $3.22 | $3.16 | $3.19 | 601 150 |
Jun 08, 2023 | $3.13 | $3.19 | $3.12 | $3.19 | 392 537 |
Jun 07, 2023 | $3.13 | $3.20 | $3.09 | $3.13 | 449 609 |
Jun 06, 2023 | $2.99 | $3.15 | $2.97 | $3.13 | 834 955 |
Jun 05, 2023 | $3.08 | $3.10 | $2.99 | $3.03 | 574 899 |
Jun 02, 2023 | $3.23 | $3.23 | $3.08 | $3.11 | 1 014 568 |
Jun 01, 2023 | $3.04 | $3.26 | $2.97 | $3.14 | 1 980 839 |
May 31, 2023 | $2.75 | $3.06 | $2.73 | $3.03 | 2 506 632 |
May 30, 2023 | $2.92 | $3.15 | $2.61 | $2.79 | 6 634 338 |
May 26, 2023 | $2.59 | $2.63 | $2.51 | $2.59 | 630 873 |
May 25, 2023 | $2.62 | $2.66 | $2.51 | $2.53 | 609 912 |
May 24, 2023 | $2.63 | $2.69 | $2.56 | $2.66 | 1 126 649 |
May 23, 2023 | $2.53 | $2.70 | $2.51 | $2.69 | 1 717 165 |
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.