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 |
Jun 27, 2023 | $1.60 | $1.65 | $1.55 | $1.60 | 18 524 996 |
Jun 26, 2023 | $1.69 | $1.74 | $1.58 | $1.59 | 17 624 911 |
Jun 23, 2023 | $1.63 | $1.71 | $1.62 | $1.70 | 45 303 109 |
Jun 22, 2023 | $1.73 | $1.77 | $1.65 | $1.70 | 24 299 532 |
Jun 21, 2023 | $1.88 | $1.87 | $1.75 | $1.77 | 31 039 031 |
Jun 20, 2023 | $1.87 | $1.94 | $1.83 | $1.89 | 16 277 437 |
Jun 16, 2023 | $1.96 | $1.98 | $1.88 | $1.90 | 26 259 200 |
Jun 15, 2023 | $1.88 | $1.98 | $1.86 | $1.95 | 20 747 783 |
Jun 14, 2023 | $1.94 | $2.05 | $1.86 | $1.91 | 28 718 755 |
Jun 13, 2023 | $2.00 | $2.01 | $1.86 | $1.94 | 28 167 809 |
Jun 12, 2023 | $1.84 | $2.03 | $1.83 | $1.95 | 37 292 122 |
Jun 09, 2023 | $1.79 | $1.88 | $1.75 | $1.85 | 28 142 861 |
Jun 08, 2023 | $1.77 | $1.81 | $1.68 | $1.76 | 17 542 516 |
Jun 07, 2023 | $1.88 | $1.90 | $1.74 | $1.78 | 24 699 531 |
Jun 06, 2023 | $1.64 | $1.86 | $1.62 | $1.83 | 28 445 684 |
Jun 05, 2023 | $1.61 | $1.70 | $1.56 | $1.65 | 21 078 112 |
Jun 02, 2023 | $1.63 | $1.69 | $1.51 | $1.62 | 32 607 027 |
Jun 01, 2023 | $1.59 | $1.74 | $1.57 | $1.68 | 22 823 948 |
May 31, 2023 | $1.70 | $1.73 | $1.55 | $1.58 | 24 611 629 |
May 30, 2023 | $1.55 | $1.79 | $1.55 | $1.73 | 32 777 457 |
May 26, 2023 | $1.52 | $1.65 | $1.50 | $1.52 | 24 206 539 |
May 25, 2023 | $1.68 | $1.68 | $1.48 | $1.53 | 19 785 517 |
May 24, 2023 | $1.51 | $1.63 | $1.47 | $1.62 | 26 670 608 |
May 23, 2023 | $1.54 | $1.72 | $1.50 | $1.52 | 56 189 846 |
May 22, 2023 | $1.32 | $1.58 | $1.30 | $1.51 | 46 821 818 |
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.