NYSE:DNA
Ginkgo Bioworks Stock Price (Quote)
$0.529
-0.0308 (-5.51%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.505 | $1.03 | Friday, 31st May 2024 DNA stock ended at $0.529. This is 5.51% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 12.14% from a day low at $0.505 to a day high of $0.566. |
90 days | $0.505 | $1.32 | |
52 weeks | $0.505 | $2.55 |
Historical Ginkgo Bioworks Holdings, Inc. prices
Date | Open | High | Low | Close | Volume |
Dec 03, 2021 | $10.26 | $10.27 | $7.91 | $8.65 | 24 002 503 |
Dec 02, 2021 | $11.30 | $11.41 | $9.73 | $10.22 | 12 862 424 |
Dec 01, 2021 | $11.87 | $12.12 | $11.39 | $11.39 | 6 059 433 |
Nov 30, 2021 | $11.86 | $12.11 | $11.30 | $11.87 | 5 880 937 |
Nov 29, 2021 | $12.47 | $12.48 | $11.68 | $12.04 | 3 420 048 |
Nov 26, 2021 | $11.45 | $12.35 | $11.45 | $12.06 | 3 449 257 |
Nov 24, 2021 | $12.04 | $12.11 | $11.81 | $12.00 | 3 319 768 |
Nov 23, 2021 | $12.96 | $13.09 | $11.89 | $12.10 | 3 582 572 |
Nov 22, 2021 | $13.27 | $13.74 | $12.86 | $13.49 | 3 631 119 |
Nov 19, 2021 | $12.26 | $13.54 | $11.83 | $13.45 | 9 305 442 |
Nov 18, 2021 | $13.56 | $13.67 | $11.95 | $11.98 | 6 787 439 |
Nov 17, 2021 | $13.96 | $14.11 | $13.30 | $13.59 | 4 394 678 |
Nov 16, 2021 | $13.01 | $14.20 | $12.98 | $14.00 | 5 994 694 |
Nov 15, 2021 | $12.95 | $13.25 | $12.24 | $12.97 | 6 061 653 |
Nov 12, 2021 | $13.98 | $14.40 | $12.74 | $12.90 | 6 447 069 |
Nov 11, 2021 | $13.94 | $14.22 | $13.44 | $13.48 | 2 317 508 |
Nov 10, 2021 | $14.64 | $15.62 | $13.60 | $13.62 | 3 293 625 |
Nov 09, 2021 | $15.13 | $15.86 | $14.52 | $14.92 | 5 174 748 |
Nov 08, 2021 | $14.07 | $15.03 | $14.00 | $14.92 | 2 916 038 |
Nov 05, 2021 | $14.27 | $14.37 | $13.55 | $13.95 | 1 745 854 |
Nov 04, 2021 | $14.20 | $14.74 | $14.09 | $14.41 | 2 361 527 |
Nov 03, 2021 | $13.35 | $14.42 | $13.25 | $14.19 | 4 939 492 |
Nov 02, 2021 | $13.86 | $13.94 | $13.04 | $13.40 | 3 550 457 |
Nov 01, 2021 | $13.91 | $14.19 | $13.35 | $13.79 | 3 534 343 |
Oct 29, 2021 | $14.22 | $14.37 | $13.60 | $13.82 | 1 737 304 |
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.