NASDAQ:DORM
Dorman Products Stock Price (Quote)
$91.33
-0.83 (-0.90%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $86.61 | $96.43 | Friday, 17th May 2024 DORM stock ended at $91.33. This is 0.90% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.02% from a day low at $90.87 to a day high of $92.71. |
90 days | $80.28 | $98.46 | |
52 weeks | $60.01 | $98.46 |
Date | Open | High | Low | Close | Volume |
May 01, 2017 | $83.41 | $84.05 | $82.05 | $82.86 | 311 452 |
Apr 28, 2017 | $84.81 | $84.91 | $83.03 | $83.15 | 212 977 |
Apr 27, 2017 | $85.02 | $86.16 | $84.72 | $85.02 | 147 244 |
Apr 26, 2017 | $84.23 | $85.49 | $84.23 | $84.91 | 180 195 |
Apr 25, 2017 | $84.52 | $85.11 | $84.02 | $84.31 | 128 108 |
Apr 24, 2017 | $82.85 | $84.23 | $82.82 | $84.07 | 145 726 |
Apr 21, 2017 | $81.41 | $82.14 | $80.40 | $81.67 | 110 112 |
Apr 20, 2017 | $79.40 | $81.75 | $79.21 | $81.36 | 145 880 |
Apr 19, 2017 | $79.14 | $79.93 | $78.67 | $78.94 | 141 720 |
Apr 18, 2017 | $78.03 | $79.28 | $77.41 | $78.62 | 140 767 |
Apr 17, 2017 | $77.54 | $78.19 | $77.23 | $78.04 | 122 673 |
Apr 13, 2017 | $77.52 | $78.03 | $77.11 | $77.14 | 87 931 |
Apr 12, 2017 | $78.51 | $79.07 | $77.00 | $77.64 | 152 017 |
Apr 11, 2017 | $77.75 | $78.71 | $76.40 | $78.51 | 112 990 |
Apr 10, 2017 | $77.37 | $78.39 | $76.67 | $77.66 | 142 911 |
Apr 07, 2017 | $77.65 | $78.97 | $76.50 | $77.76 | 168 581 |
Apr 06, 2017 | $78.31 | $79.03 | $77.53 | $77.90 | 176 976 |
Apr 05, 2017 | $79.69 | $80.63 | $77.72 | $78.25 | 190 377 |
Apr 04, 2017 | $79.45 | $79.98 | $78.36 | $79.48 | 252 203 |
Apr 03, 2017 | $82.39 | $82.39 | $78.71 | $79.56 | 231 754 |
Mar 31, 2017 | $81.50 | $82.51 | $80.45 | $82.13 | 190 431 |
Mar 30, 2017 | $80.34 | $81.84 | $80.34 | $81.51 | 144 220 |
Mar 29, 2017 | $79.70 | $80.87 | $79.22 | $80.26 | 156 122 |
Mar 28, 2017 | $79.05 | $79.98 | $78.48 | $79.68 | 109 873 |
Mar 27, 2017 | $78.46 | $79.63 | $75.82 | $79.14 | 90 858 |
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 DORM stock historical prices to predict future price movements?
Trend Analysis: Examine the DORM 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 DORM 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.