NASDAQ:DYN
Dyne Therapeutics, Inc. Stock Price (Quote)
$31.22
-0.0300 (-0.0960%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $23.16 | $35.98 | Friday, 24th May 2024 DYN stock ended at $31.22. This is 0.0960% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 3.72% from a day low at $30.88 to a day high of $32.03. |
90 days | $22.52 | $35.98 | |
52 weeks | $6.40 | $35.98 |
Date | Open | High | Low | Close | Volume |
Nov 24, 2023 | $10.53 | $11.17 | $10.53 | $11.05 | 276 235 |
Nov 22, 2023 | $10.74 | $10.83 | $10.21 | $10.52 | 605 943 |
Nov 21, 2023 | $10.50 | $11.20 | $10.03 | $10.51 | 987 985 |
Nov 20, 2023 | $11.02 | $11.45 | $10.52 | $10.65 | 767 003 |
Nov 17, 2023 | $9.85 | $11.03 | $9.82 | $11.02 | 578 999 |
Nov 16, 2023 | $10.89 | $10.89 | $9.76 | $9.77 | 1 013 897 |
Nov 15, 2023 | $10.36 | $11.25 | $10.36 | $10.88 | 644 207 |
Nov 14, 2023 | $9.26 | $10.38 | $9.26 | $10.35 | 872 914 |
Nov 13, 2023 | $8.57 | $8.72 | $8.05 | $8.70 | 375 413 |
Nov 10, 2023 | $8.47 | $9.11 | $8.04 | $8.70 | 637 903 |
Nov 09, 2023 | $9.46 | $9.58 | $8.41 | $8.44 | 659 980 |
Nov 08, 2023 | $9.37 | $9.44 | $9.00 | $9.35 | 600 177 |
Nov 07, 2023 | $8.20 | $9.48 | $7.93 | $9.35 | 549 508 |
Nov 06, 2023 | $8.33 | $8.71 | $8.14 | $8.16 | 630 521 |
Nov 03, 2023 | $7.26 | $8.32 | $7.14 | $8.23 | 820 444 |
Nov 02, 2023 | $7.41 | $7.67 | $7.09 | $7.15 | 413 364 |
Nov 01, 2023 | $7.02 | $7.36 | $6.90 | $7.30 | 472 689 |
Oct 31, 2023 | $7.19 | $7.22 | $6.66 | $7.05 | 1 894 580 |
Oct 30, 2023 | $6.40 | $7.51 | $6.40 | $7.32 | 721 062 |
Oct 27, 2023 | $7.05 | $7.05 | $6.51 | $6.62 | 352 053 |
Oct 26, 2023 | $6.84 | $7.00 | $6.52 | $6.87 | 222 120 |
Oct 25, 2023 | $6.85 | $6.85 | $6.51 | $6.66 | 306 712 |
Oct 24, 2023 | $6.67 | $7.27 | $6.64 | $6.96 | 481 175 |
Oct 23, 2023 | $7.32 | $7.32 | $6.66 | $6.66 | 444 724 |
Oct 20, 2023 | $7.51 | $7.75 | $7.18 | $7.25 | 465 608 |
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 DYN stock historical prices to predict future price movements?
Trend Analysis: Examine the DYN 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 DYN 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.