NYSE:DNA
Ginkgo Bioworks Stock Price (Quote)
$0.661
+0.0046 (+0.701%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.632 | $1.13 | Friday, 24th May 2024 DNA stock ended at $0.661. This is 0.701% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 7.49% from a day low at $0.632 to a day high of $0.679. |
90 days | $0.632 | $1.61 | |
52 weeks | $0.632 | $2.55 |
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | $1.28 | $1.29 | $1.22 | $1.24 | 10 002 127 |
Feb 06, 2024 | $1.22 | $1.30 | $1.21 | $1.29 | 15 958 781 |
Feb 05, 2024 | $1.25 | $1.26 | $1.20 | $1.22 | 14 585 227 |
Feb 02, 2024 | $1.23 | $1.28 | $1.17 | $1.27 | 26 242 110 |
Feb 01, 2024 | $1.24 | $1.27 | $1.18 | $1.27 | 15 112 554 |
Jan 31, 2024 | $1.26 | $1.32 | $1.21 | $1.21 | 26 573 475 |
Jan 30, 2024 | $1.35 | $1.36 | $1.27 | $1.27 | 19 310 420 |
Jan 29, 2024 | $1.30 | $1.37 | $1.26 | $1.35 | 19 918 922 |
Jan 26, 2024 | $1.26 | $1.33 | $1.25 | $1.29 | 14 400 403 |
Jan 25, 2024 | $1.25 | $1.27 | $1.22 | $1.26 | 18 290 247 |
Jan 24, 2024 | $1.30 | $1.31 | $1.24 | $1.24 | 17 899 423 |
Jan 23, 2024 | $1.26 | $1.30 | $1.21 | $1.27 | 17 497 189 |
Jan 22, 2024 | $1.22 | $1.35 | $1.22 | $1.23 | 21 130 601 |
Jan 19, 2024 | $1.22 | $1.24 | $1.15 | $1.21 | 20 432 810 |
Jan 18, 2024 | $1.20 | $1.23 | $1.15 | $1.18 | 25 376 369 |
Jan 17, 2024 | $1.21 | $1.21 | $1.12 | $1.15 | 32 553 966 |
Jan 16, 2024 | $1.31 | $1.31 | $1.21 | $1.22 | 30 731 572 |
Jan 12, 2024 | $1.36 | $1.40 | $1.30 | $1.30 | 22 966 442 |
Jan 11, 2024 | $1.40 | $1.40 | $1.31 | $1.34 | 28 373 107 |
Jan 10, 2024 | $1.53 | $1.53 | $1.39 | $1.41 | 29 489 733 |
Jan 09, 2024 | $1.54 | $1.57 | $1.49 | $1.51 | 19 199 529 |
Jan 08, 2024 | $1.53 | $1.59 | $1.51 | $1.56 | 18 192 996 |
Jan 05, 2024 | $1.53 | $1.59 | $1.49 | $1.53 | 19 923 514 |
Jan 04, 2024 | $1.55 | $1.59 | $1.50 | $1.56 | 18 020 982 |
Jan 03, 2024 | $1.65 | $1.65 | $1.51 | $1.54 | 27 452 659 |
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.