NYSE:DNMR
Danimer Scientific, Inc. Stock Price (Quote)
$0.787
+0.0345 (+4.58%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.690 | $0.93 | Friday, 17th May 2024 DNMR stock ended at $0.787. This is 4.58% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 8.88% from a day low at $0.753 to a day high of $0.82. |
90 days | $0.690 | $1.84 | |
52 weeks | $0.600 | $3.56 |
Date | Open | High | Low | Close | Volume |
Jun 27, 2023 | $2.29 | $2.37 | $2.24 | $2.31 | 728 559 |
Jun 26, 2023 | $2.33 | $2.39 | $2.25 | $2.26 | 1 155 140 |
Jun 23, 2023 | $2.57 | $2.57 | $2.32 | $2.38 | 2 082 822 |
Jun 22, 2023 | $2.66 | $2.66 | $2.55 | $2.56 | 705 988 |
Jun 21, 2023 | $2.84 | $2.86 | $2.58 | $2.59 | 1 248 025 |
Jun 20, 2023 | $2.88 | $2.89 | $2.73 | $2.87 | 1 054 136 |
Jun 16, 2023 | $3.03 | $3.03 | $2.89 | $2.90 | 890 570 |
Jun 15, 2023 | $2.98 | $3.06 | $2.95 | $3.00 | 674 015 |
Jun 14, 2023 | $3.11 | $3.13 | $2.96 | $3.00 | 1 643 226 |
Jun 13, 2023 | $2.98 | $3.12 | $2.94 | $3.07 | 1 108 247 |
Jun 12, 2023 | $2.96 | $2.97 | $2.79 | $2.92 | 1 048 011 |
Jun 09, 2023 | $2.99 | $3.08 | $2.93 | $2.94 | 822 873 |
Jun 08, 2023 | $3.20 | $3.22 | $2.96 | $2.99 | 1 511 883 |
Jun 07, 2023 | $3.30 | $3.49 | $3.29 | $3.31 | 1 158 635 |
Jun 06, 2023 | $3.10 | $3.38 | $3.04 | $3.24 | 937 565 |
Jun 05, 2023 | $3.07 | $3.18 | $3.04 | $3.09 | 602 596 |
Jun 02, 2023 | $3.10 | $3.19 | $3.01 | $3.13 | 765 933 |
Jun 01, 2023 | $2.98 | $3.10 | $2.93 | $3.01 | 1 112 076 |
May 31, 2023 | $3.07 | $3.10 | $2.86 | $2.89 | 1 026 393 |
May 30, 2023 | $3.06 | $3.17 | $3.03 | $3.10 | 726 465 |
May 26, 2023 | $3.02 | $3.05 | $2.91 | $3.01 | 516 603 |
May 25, 2023 | $3.08 | $3.13 | $2.95 | $2.97 | 754 711 |
May 24, 2023 | $3.21 | $3.22 | $3.05 | $3.08 | 553 775 |
May 23, 2023 | $3.32 | $3.56 | $3.25 | $3.26 | 1 027 048 |
May 22, 2023 | $3.19 | $3.39 | $3.08 | $3.34 | 805 702 |
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 DNMR stock historical prices to predict future price movements?
Trend Analysis: Examine the DNMR 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 DNMR 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.