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 |
Feb 01, 2024 | $3.75 | $3.84 | $3.70 | $3.76 | 553 182 |
Jan 31, 2024 | $3.70 | $3.85 | $3.70 | $3.73 | 571 948 |
Jan 30, 2024 | $3.75 | $3.81 | $3.74 | $3.76 | 474 415 |
Jan 29, 2024 | $3.87 | $3.90 | $3.75 | $3.88 | 548 289 |
Jan 26, 2024 | $3.83 | $3.95 | $3.83 | $3.91 | 745 353 |
Jan 25, 2024 | $4.30 | $4.32 | $3.79 | $3.92 | 2 123 427 |
Jan 24, 2024 | $4.01 | $4.03 | $3.86 | $3.99 | 1 287 825 |
Jan 23, 2024 | $3.80 | $3.96 | $3.77 | $3.79 | 1 071 896 |
Jan 22, 2024 | $3.50 | $3.70 | $3.43 | $3.66 | 1 229 143 |
Jan 19, 2024 | $3.56 | $3.65 | $3.53 | $3.59 | 665 272 |
Jan 18, 2024 | $3.70 | $3.72 | $3.59 | $3.63 | 812 730 |
Jan 17, 2024 | $3.47 | $3.66 | $3.46 | $3.66 | 962 715 |
Jan 16, 2024 | $3.80 | $3.85 | $3.56 | $3.60 | 1 546 175 |
Jan 12, 2024 | $3.96 | $4.00 | $3.83 | $3.86 | 1 243 317 |
Jan 11, 2024 | $4.07 | $4.09 | $3.93 | $3.99 | 636 283 |
Jan 10, 2024 | $4.06 | $4.07 | $4.00 | $4.01 | 732 080 |
Jan 09, 2024 | $4.11 | $4.11 | $4.06 | $4.08 | 603 686 |
Jan 08, 2024 | $4.14 | $4.21 | $4.12 | $4.17 | 429 443 |
Jan 05, 2024 | $4.22 | $4.25 | $4.19 | $4.22 | 449 236 |
Jan 04, 2024 | $4.20 | $4.28 | $4.18 | $4.26 | 538 776 |
Jan 03, 2024 | $4.10 | $4.25 | $4.07 | $4.24 | 953 368 |
Jan 02, 2024 | $4.33 | $4.38 | $4.09 | $4.13 | 1 172 732 |
Dec 29, 2023 | $4.32 | $4.48 | $4.32 | $4.42 | 1 148 815 |
Dec 28, 2023 | $4.20 | $4.52 | $4.18 | $4.32 | 1 840 213 |
Dec 27, 2023 | $4.11 | $4.15 | $4.08 | $4.12 | 617 726 |
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.