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 |
Sep 08, 2023 | $5.11 | $5.23 | $4.92 | $5.11 | 2 138 107 |
Sep 07, 2023 | $5.11 | $5.38 | $4.89 | $5.15 | 3 631 070 |
Sep 06, 2023 | $5.50 | $5.80 | $5.39 | $5.50 | 3 829 083 |
Sep 05, 2023 | $5.12 | $5.50 | $5.08 | $5.49 | 3 197 291 |
Sep 01, 2023 | $4.98 | $5.56 | $4.92 | $5.21 | 7 802 063 |
Aug 31, 2023 | $4.64 | $5.00 | $4.49 | $4.91 | 3 897 708 |
Aug 30, 2023 | $4.41 | $4.84 | $4.37 | $4.61 | 6 043 939 |
Aug 29, 2023 | $4.04 | $4.80 | $3.88 | $4.64 | 14 033 073 |
Aug 28, 2023 | $3.58 | $3.77 | $3.50 | $3.61 | 1 781 531 |
Aug 25, 2023 | $3.39 | $3.51 | $3.35 | $3.48 | 525 826 |
Aug 24, 2023 | $3.47 | $3.58 | $3.36 | $3.39 | 859 053 |
Aug 23, 2023 | $3.38 | $3.49 | $3.32 | $3.47 | 826 462 |
Aug 22, 2023 | $3.51 | $3.52 | $3.29 | $3.35 | 461 385 |
Aug 21, 2023 | $3.26 | $3.41 | $3.26 | $3.38 | 508 413 |
Aug 18, 2023 | $3.23 | $3.37 | $3.23 | $3.34 | 565 428 |
Aug 17, 2023 | $3.44 | $3.49 | $3.32 | $3.37 | 424 161 |
Aug 16, 2023 | $3.25 | $3.40 | $3.21 | $3.37 | 769 004 |
Aug 15, 2023 | $3.54 | $3.55 | $3.30 | $3.33 | 1 359 446 |
Aug 14, 2023 | $3.52 | $3.53 | $3.40 | $3.50 | 712 566 |
Aug 11, 2023 | $3.75 | $3.80 | $3.52 | $3.53 | 1 446 000 |
Aug 10, 2023 | $4.01 | $4.18 | $3.88 | $3.89 | 1 270 195 |
Aug 09, 2023 | $4.00 | $4.00 | $3.84 | $3.89 | 515 705 |
Aug 08, 2023 | $3.91 | $3.99 | $3.82 | $3.92 | 956 514 |
Aug 07, 2023 | $4.12 | $4.16 | $3.98 | $4.09 | 1 185 140 |
Aug 04, 2023 | $4.18 | $4.20 | $4.03 | $4.11 | 987 040 |
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.