NASDAQ:DLTH
Duluth Holdings Inc. Stock Price (Quote)
$4.49
+0.0400 (+0.90%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.07 | $4.54 | Friday, 24th May 2024 DLTH stock ended at $4.49. This is 0.90% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.82% from a day low at $4.45 to a day high of $4.53. |
90 days | $4.07 | $5.06 | |
52 weeks | $4.07 | $7.88 |
Date | Open | High | Low | Close | Volume |
Jun 04, 2020 | $5.76 | $6.79 | $5.71 | $6.53 | 970 344 |
Jun 03, 2020 | $5.05 | $5.51 | $5.03 | $5.41 | 437 769 |
Jun 02, 2020 | $5.14 | $5.21 | $4.81 | $4.91 | 166 342 |
Jun 01, 2020 | $4.56 | $5.18 | $4.52 | $5.08 | 304 963 |
May 29, 2020 | $4.68 | $4.81 | $4.40 | $4.54 | 332 760 |
May 28, 2020 | $5.28 | $5.28 | $4.63 | $4.69 | 307 906 |
May 27, 2020 | $4.92 | $5.27 | $4.84 | $5.18 | 282 789 |
May 26, 2020 | $4.66 | $4.75 | $4.51 | $4.73 | 348 155 |
May 22, 2020 | $4.27 | $4.49 | $4.10 | $4.47 | 228 578 |
May 21, 2020 | $3.87 | $4.44 | $3.79 | $4.31 | 319 310 |
May 20, 2020 | $3.93 | $4.02 | $3.76 | $3.84 | 186 857 |
May 19, 2020 | $3.79 | $4.12 | $3.72 | $3.85 | 270 980 |
May 18, 2020 | $3.68 | $3.98 | $3.68 | $3.77 | 364 137 |
May 15, 2020 | $3.48 | $3.62 | $3.34 | $3.48 | 187 224 |
May 14, 2020 | $3.50 | $3.58 | $3.21 | $3.47 | 274 130 |
May 13, 2020 | $3.96 | $3.99 | $3.34 | $3.56 | 785 244 |
May 12, 2020 | $4.02 | $4.24 | $3.95 | $3.99 | 257 366 |
May 11, 2020 | $4.15 | $4.18 | $3.95 | $4.01 | 249 988 |
May 08, 2020 | $3.98 | $4.22 | $3.85 | $4.18 | 903 453 |
May 07, 2020 | $3.95 | $4.05 | $3.85 | $3.87 | 315 805 |
May 06, 2020 | $3.92 | $4.02 | $3.82 | $3.95 | 253 496 |
May 05, 2020 | $4.08 | $4.13 | $3.88 | $3.91 | 268 576 |
May 04, 2020 | $3.94 | $4.14 | $3.77 | $4.01 | 252 469 |
May 01, 2020 | $3.96 | $3.96 | $3.81 | $3.96 | 407 940 |
Apr 30, 2020 | $4.36 | $4.40 | $3.96 | $4.01 | 340 356 |
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 DLTH stock historical prices to predict future price movements?
Trend Analysis: Examine the DLTH 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 DLTH 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.