NASDAQ:DNUT
Krispy Kreme, Inc. Stock Price (Quote)
$10.76
-0.390 (-3.50%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.75 | $13.25 | Tuesday, 28th May 2024 DNUT stock ended at $10.76. This is 3.50% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 4.28% from a day low at $10.75 to a day high of $11.21. |
90 days | $10.75 | $17.84 | |
52 weeks | $10.75 | $17.84 |
Historical Krispy Kreme, Inc. prices
Date | Open | High | Low | Close | Volume |
Jan 05, 2022 | $18.15 | $19.00 | $18.10 | $18.17 | 1 366 129 |
Jan 04, 2022 | $18.33 | $18.82 | $17.56 | $18.48 | 1 141 478 |
Jan 03, 2022 | $18.92 | $19.41 | $18.43 | $18.58 | 1 139 404 |
Dec 31, 2021 | $18.13 | $19.55 | $18.10 | $18.92 | 1 613 405 |
Dec 30, 2021 | $17.58 | $19.31 | $17.58 | $18.47 | 1 719 475 |
Dec 29, 2021 | $17.58 | $18.32 | $17.35 | $17.72 | 1 160 576 |
Dec 28, 2021 | $16.24 | $18.60 | $16.23 | $17.85 | 3 119 227 |
Dec 27, 2021 | $16.60 | $17.37 | $16.16 | $16.22 | 1 392 472 |
Dec 23, 2021 | $15.85 | $17.07 | $15.82 | $16.91 | 1 569 166 |
Dec 22, 2021 | $15.80 | $16.03 | $15.52 | $15.90 | 947 359 |
Dec 21, 2021 | $16.00 | $16.49 | $15.70 | $15.85 | 1 170 055 |
Dec 20, 2021 | $16.75 | $16.88 | $15.44 | $15.98 | 2 080 736 |
Dec 17, 2021 | $15.48 | $17.56 | $15.44 | $17.17 | 2 514 105 |
Dec 16, 2021 | $16.01 | $16.30 | $15.35 | $15.59 | 843 779 |
Dec 15, 2021 | $15.83 | $16.00 | $15.27 | $16.00 | 671 376 |
Dec 14, 2021 | $15.45 | $16.36 | $15.40 | $15.99 | 987 685 |
Dec 13, 2021 | $15.47 | $16.08 | $15.30 | $15.98 | 997 977 |
Dec 10, 2021 | $14.94 | $15.61 | $14.94 | $15.53 | 1 323 417 |
Dec 09, 2021 | $16.00 | $16.33 | $14.81 | $14.90 | 1 216 610 |
Dec 08, 2021 | $15.89 | $16.69 | $15.89 | $15.96 | 1 408 626 |
Dec 07, 2021 | $16.00 | $16.95 | $15.74 | $15.80 | 1 462 711 |
Dec 06, 2021 | $15.41 | $16.42 | $15.35 | $15.73 | 1 969 151 |
Dec 03, 2021 | $14.10 | $15.88 | $14.10 | $15.70 | 2 761 911 |
Dec 02, 2021 | $13.45 | $14.34 | $13.38 | $14.17 | 1 657 198 |
Dec 01, 2021 | $13.97 | $14.70 | $13.00 | $13.19 | 3 058 689 |
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.