NASDAQ:DNKN
Delisted
Dunkin Stock Price (Quote)
$106.48
+0 (+0%)
At Close: May 04, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $106.48 | $106.48 | Wednesday, 4th May 2022 DNKN stock ended at $106.48. During the day the stock fluctuated 0% from a day low at $106.48 to a day high of $106.48. |
90 days | $106.48 | $106.48 | |
52 weeks | $106.48 | $106.48 |
Date | Open | High | Low | Close | Volume |
Oct 05, 2018 | $71.50 | $71.98 | $70.91 | $71.33 | 506 634 |
Oct 04, 2018 | $71.88 | $72.13 | $71.09 | $71.48 | 469 553 |
Oct 03, 2018 | $71.92 | $72.24 | $70.90 | $71.06 | 728 645 |
Oct 02, 2018 | $72.68 | $72.70 | $71.24 | $71.68 | 1 042 682 |
Oct 01, 2018 | $73.80 | $73.88 | $72.64 | $72.76 | 577 121 |
Sep 28, 2018 | $73.81 | $74.52 | $73.51 | $73.72 | 731 338 |
Sep 27, 2018 | $74.46 | $74.91 | $73.59 | $73.89 | 836 036 |
Sep 26, 2018 | $74.48 | $76.20 | $73.72 | $73.98 | 1 198 237 |
Sep 25, 2018 | $73.36 | $74.08 | $72.99 | $73.79 | 864 337 |
Sep 24, 2018 | $73.13 | $73.24 | $72.25 | $72.82 | 1 082 475 |
Sep 21, 2018 | $74.32 | $74.58 | $73.18 | $73.30 | 852 865 |
Sep 20, 2018 | $74.45 | $75.10 | $73.48 | $74.13 | 460 877 |
Sep 19, 2018 | $73.79 | $74.35 | $73.72 | $74.03 | 427 743 |
Sep 18, 2018 | $73.12 | $73.92 | $73.02 | $73.85 | 523 392 |
Sep 17, 2018 | $74.13 | $74.28 | $73.13 | $73.14 | 840 799 |
Sep 14, 2018 | $75.47 | $75.76 | $74.20 | $74.27 | 845 415 |
Sep 13, 2018 | $76.56 | $76.75 | $75.90 | $76.02 | 424 906 |
Sep 12, 2018 | $75.94 | $76.45 | $75.21 | $76.20 | 560 198 |
Sep 11, 2018 | $76.19 | $77.13 | $75.78 | $75.83 | 757 094 |
Sep 10, 2018 | $76.60 | $76.95 | $76.21 | $76.31 | 556 491 |
Sep 07, 2018 | $75.81 | $76.64 | $75.70 | $76.52 | 688 355 |
Sep 06, 2018 | $75.60 | $76.03 | $75.37 | $75.77 | 708 326 |
Sep 05, 2018 | $76.14 | $76.70 | $75.05 | $75.52 | 834 821 |
Sep 04, 2018 | $73.08 | $76.12 | $73.08 | $76.06 | 2 656 500 |
Aug 31, 2018 | $71.72 | $73.00 | $71.59 | $72.89 | 484 072 |
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 DNKN stock historical prices to predict future price movements?
Trend Analysis: Examine the DNKN 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 DNKN 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.