NASDAQ:DNUT
Krispy Kreme, Inc. Stock Price (Quote)
$12.04
+0.120 (+1.01%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $11.65 | $14.10 | Friday, 17th May 2024 DNUT stock ended at $12.04. This is 1.01% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.03% from a day low at $11.85 to a day high of $12.09. |
90 days | $11.53 | $17.84 | |
52 weeks | $11.53 | $17.84 |
Date | Open | High | Low | Close | Volume |
May 19, 2023 | $15.06 | $15.06 | $14.86 | $15.00 | 743 614 |
May 18, 2023 | $15.18 | $15.27 | $14.65 | $14.92 | 805 046 |
May 17, 2023 | $14.98 | $15.24 | $14.90 | $15.17 | 761 033 |
May 16, 2023 | $15.04 | $15.07 | $14.27 | $14.94 | 1 227 149 |
May 15, 2023 | $15.10 | $15.13 | $14.88 | $15.08 | 806 050 |
May 12, 2023 | $15.40 | $15.79 | $15.04 | $15.09 | 1 067 235 |
May 11, 2023 | $15.30 | $15.49 | $14.21 | $15.14 | 1 947 434 |
May 10, 2023 | $15.25 | $15.32 | $14.77 | $14.99 | 1 163 910 |
May 09, 2023 | $14.84 | $15.33 | $14.83 | $15.20 | 928 339 |
May 08, 2023 | $14.94 | $15.05 | $14.77 | $14.84 | 868 987 |
May 05, 2023 | $14.86 | $15.05 | $14.82 | $14.97 | 610 131 |
May 04, 2023 | $14.66 | $14.88 | $14.60 | $14.76 | 621 732 |
May 03, 2023 | $14.87 | $15.01 | $14.68 | $14.71 | 741 194 |
May 02, 2023 | $15.08 | $15.11 | $14.67 | $14.88 | 828 889 |
May 01, 2023 | $15.37 | $15.89 | $15.06 | $15.11 | 1 044 685 |
Apr 28, 2023 | $15.41 | $15.54 | $15.32 | $15.38 | 619 677 |
Apr 27, 2023 | $15.21 | $15.45 | $15.15 | $15.44 | 498 356 |
Apr 26, 2023 | $15.55 | $15.48 | $15.07 | $15.12 | 795 296 |
Apr 25, 2023 | $15.01 | $15.56 | $14.95 | $15.47 | 893 887 |
Apr 24, 2023 | $15.32 | $15.34 | $15.11 | $15.21 | 850 081 |
Apr 21, 2023 | $14.89 | $15.41 | $14.89 | $15.30 | 940 046 |
Apr 20, 2023 | $14.72 | $15.03 | $14.68 | $14.86 | 590 824 |
Apr 19, 2023 | $14.69 | $14.77 | $14.53 | $14.74 | 698 030 |
Apr 18, 2023 | $14.85 | $15.03 | $14.64 | $14.65 | 638 597 |
Apr 17, 2023 | $14.95 | $15.06 | $14.62 | $14.72 | 935 926 |
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 DNUT stock historical prices to predict future price movements?
Trend Analysis: Examine the DNUT 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 DNUT 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.