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 |
Oct 15, 2021 | $14.35 | $14.36 | $13.88 | $13.91 | 444 881 |
Oct 14, 2021 | $14.38 | $14.66 | $14.13 | $14.15 | 467 139 |
Oct 13, 2021 | $14.32 | $14.34 | $14.11 | $14.31 | 211 584 |
Oct 12, 2021 | $13.98 | $14.33 | $13.97 | $14.27 | 396 559 |
Oct 11, 2021 | $14.07 | $14.09 | $13.85 | $13.97 | 487 568 |
Oct 08, 2021 | $13.75 | $14.30 | $13.59 | $14.12 | 860 873 |
Oct 07, 2021 | $13.89 | $14.09 | $13.68 | $13.75 | 1 045 320 |
Oct 06, 2021 | $13.82 | $13.89 | $13.72 | $13.80 | 817 984 |
Oct 05, 2021 | $13.95 | $14.02 | $13.80 | $13.89 | 634 284 |
Oct 04, 2021 | $14.05 | $14.22 | $13.83 | $13.93 | 552 277 |
Oct 01, 2021 | $14.06 | $14.25 | $13.82 | $14.22 | 638 315 |
Sep 30, 2021 | $14.01 | $14.08 | $13.75 | $14.00 | 846 182 |
Sep 29, 2021 | $14.28 | $14.33 | $13.96 | $14.00 | 681 146 |
Sep 28, 2021 | $14.26 | $14.37 | $14.02 | $14.21 | 744 509 |
Sep 27, 2021 | $14.51 | $14.85 | $14.25 | $14.34 | 824 325 |
Sep 24, 2021 | $14.67 | $14.73 | $14.22 | $14.51 | 519 591 |
Sep 23, 2021 | $14.25 | $14.80 | $14.20 | $14.73 | 1 222 108 |
Sep 22, 2021 | $14.29 | $14.46 | $14.02 | $14.16 | 1 571 553 |
Sep 21, 2021 | $15.00 | $15.19 | $14.03 | $14.27 | 2 256 241 |
Sep 20, 2021 | $14.82 | $15.77 | $14.56 | $14.98 | 2 734 291 |
Sep 17, 2021 | $16.32 | $16.50 | $15.19 | $15.21 | 5 700 433 |
Sep 16, 2021 | $15.23 | $16.68 | $15.23 | $16.38 | 1 510 683 |
Sep 15, 2021 | $15.56 | $15.75 | $15.05 | $15.30 | 779 185 |
Sep 14, 2021 | $15.45 | $15.75 | $15.37 | $15.56 | 561 451 |
Sep 13, 2021 | $16.01 | $16.14 | $15.27 | $15.34 | 658 014 |
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.