Granite Point Mortgage Trust Inc. Stock Price (Quote)
$3.15
-0.100 (-3.08%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.11 | $4.54 | Thursday, 23rd May 2024 GPMT stock ended at $3.15. This is 3.08% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 6.11% from a day low at $3.11 to a day high of $3.30. |
90 days | $3.11 | $5.02 | |
52 weeks | $3.11 | $6.41 |
Date | Open | High | Low | Close | Volume |
May 25, 2023 | $4.81 | $4.81 | $4.60 | $4.74 | 710 502 |
May 24, 2023 | $4.93 | $4.92 | $4.77 | $4.82 | 475 968 |
May 23, 2023 | $4.80 | $5.05 | $4.80 | $4.93 | 1 199 234 |
May 22, 2023 | $4.72 | $4.85 | $4.67 | $4.79 | 1 120 988 |
May 19, 2023 | $4.46 | $4.67 | $4.45 | $4.59 | 609 866 |
May 18, 2023 | $4.37 | $4.43 | $4.31 | $4.42 | 263 792 |
May 17, 2023 | $4.22 | $4.36 | $4.16 | $4.35 | 492 561 |
May 16, 2023 | $4.26 | $4.31 | $4.20 | $4.21 | 261 394 |
May 15, 2023 | $4.35 | $4.37 | $4.28 | $4.30 | 413 394 |
May 12, 2023 | $4.32 | $4.33 | $4.24 | $4.31 | 347 655 |
May 11, 2023 | $4.21 | $4.35 | $4.18 | $4.32 | 642 721 |
May 10, 2023 | $4.33 | $4.37 | $4.10 | $4.24 | 823 037 |
May 09, 2023 | $4.08 | $4.16 | $4.08 | $4.10 | 385 065 |
May 08, 2023 | $4.14 | $4.20 | $4.10 | $4.11 | 431 694 |
May 05, 2023 | $4.14 | $4.19 | $4.08 | $4.13 | 560 028 |
May 04, 2023 | $4.04 | $4.08 | $3.97 | $4.03 | 655 076 |
May 03, 2023 | $4.10 | $4.24 | $4.07 | $4.07 | 511 412 |
May 02, 2023 | $4.31 | $4.34 | $4.07 | $4.13 | 723 893 |
May 01, 2023 | $4.47 | $4.49 | $4.33 | $4.34 | 356 058 |
Apr 28, 2023 | $4.41 | $4.52 | $4.41 | $4.47 | 561 660 |
Apr 27, 2023 | $4.30 | $4.42 | $4.27 | $4.40 | 343 142 |
Apr 26, 2023 | $4.23 | $4.38 | $4.20 | $4.27 | 692 763 |
Apr 25, 2023 | $4.25 | $4.30 | $4.18 | $4.23 | 767 088 |
Apr 24, 2023 | $4.39 | $4.40 | $4.26 | $4.32 | 454 491 |
Apr 21, 2023 | $4.49 | $4.49 | $4.35 | $4.40 | 716 306 |
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 GPMT stock historical prices to predict future price movements?
Trend Analysis: Examine the GPMT 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 GPMT 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.