NYSE:DNA
Ginkgo Bioworks Stock Price (Quote)
$0.81
-0.0334 (-3.98%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.720 | $1.13 | Friday, 17th May 2024 DNA stock ended at $0.81. This is 3.98% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 10.19% from a day low at $0.789 to a day high of $0.87. |
90 days | $0.720 | $1.61 | |
52 weeks | $0.720 | $2.55 |
Date | Open | High | Low | Close | Volume |
May 25, 2021 | $9.86 | $9.90 | $9.85 | $9.89 | 1 455 758 |
May 24, 2021 | $9.90 | $9.91 | $9.86 | $9.87 | 1 478 587 |
May 21, 2021 | $9.94 | $9.94 | $9.86 | $9.89 | 4 245 593 |
May 20, 2021 | $9.84 | $9.89 | $9.84 | $9.88 | 2 310 347 |
May 19, 2021 | $9.85 | $9.88 | $9.85 | $9.85 | 1 957 789 |
May 18, 2021 | $9.89 | $9.91 | $9.86 | $9.87 | 1 609 903 |
May 17, 2021 | $9.92 | $9.92 | $9.87 | $9.89 | 1 941 479 |
May 14, 2021 | $9.89 | $9.94 | $9.87 | $9.90 | 7 314 938 |
May 13, 2021 | $9.92 | $9.93 | $9.86 | $9.88 | 5 742 164 |
May 12, 2021 | $9.93 | $9.95 | $9.87 | $9.89 | 7 942 410 |
May 11, 2021 | $9.93 | $9.96 | $9.84 | $9.87 | 24 772 446 |
May 10, 2021 | $10.04 | $10.04 | $9.93 | $9.94 | 2 006 013 |
May 07, 2021 | $10.03 | $10.08 | $9.99 | $10.06 | 1 138 131 |
May 06, 2021 | $10.16 | $10.16 | $10.00 | $10.03 | 2 012 303 |
May 05, 2021 | $10.10 | $10.20 | $10.08 | $10.15 | 1 181 119 |
May 04, 2021 | $10.10 | $10.17 | $10.03 | $10.15 | 1 160 648 |
May 03, 2021 | $10.24 | $10.25 | $10.10 | $10.15 | 1 212 595 |
Apr 30, 2021 | $10.28 | $10.29 | $10.17 | $10.24 | 1 046 979 |
Apr 29, 2021 | $10.24 | $10.30 | $10.22 | $10.28 | 877 472 |
Apr 28, 2021 | $10.29 | $10.34 | $10.23 | $10.26 | 1 367 315 |
Apr 27, 2021 | $10.32 | $10.37 | $10.22 | $10.30 | 1 303 172 |
Apr 26, 2021 | $10.42 | $10.62 | $10.22 | $10.26 | 1 031 687 |
Apr 23, 2021 | $10.40 | $10.46 | $10.31 | $10.37 | 1 271 516 |
Apr 22, 2021 | $10.24 | $10.42 | $10.16 | $10.28 | 1 598 775 |
Apr 21, 2021 | $10.15 | $10.22 | $10.06 | $10.22 | 1 901 508 |
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 DNA stock historical prices to predict future price movements?
Trend Analysis: Examine the DNA 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 DNA 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.