NASDAQ:DRNA
Delisted
Dicerna Pharmaceuticals Stock Price (Quote)
$38.22
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $38.22 | $38.22 | Friday, 27th May 2022 DRNA stock ended at $38.22. During the day the stock fluctuated 0% from a day low at $38.22 to a day high of $38.22. |
90 days | $38.22 | $38.22 | |
52 weeks | $19.06 | $40.14 |
Date | Open | High | Low | Close | Volume |
Jul 21, 2016 | $3.34 | $3.45 | $3.20 | $3.24 | 160 600 |
Jul 20, 2016 | $3.33 | $3.44 | $3.25 | $3.33 | 212 400 |
Jul 19, 2016 | $3.57 | $3.68 | $3.26 | $3.31 | 282 200 |
Jul 18, 2016 | $3.36 | $3.65 | $3.35 | $3.58 | 257 800 |
Jul 15, 2016 | $3.19 | $3.42 | $3.16 | $3.40 | 224 900 |
Jul 14, 2016 | $3.20 | $3.25 | $3.06 | $3.17 | 181 600 |
Jul 13, 2016 | $3.39 | $3.50 | $3.15 | $3.17 | 216 400 |
Jul 12, 2016 | $3.51 | $3.55 | $3.38 | $3.41 | 199 000 |
Jul 11, 2016 | $3.52 | $3.54 | $3.34 | $3.41 | 155 200 |
Jul 08, 2016 | $3.59 | $3.59 | $3.40 | $3.48 | 174 700 |
Jul 07, 2016 | $3.62 | $3.79 | $3.45 | $3.54 | 283 500 |
Jul 06, 2016 | $3.37 | $3.66 | $3.33 | $3.59 | 502 900 |
Jul 05, 2016 | $3.58 | $3.83 | $3.36 | $3.42 | 372 700 |
Jul 01, 2016 | $3.02 | $3.63 | $3.00 | $3.54 | 739 900 |
Jun 30, 2016 | $3.05 | $3.13 | $2.91 | $3.00 | 278 800 |
Jun 29, 2016 | $3.23 | $3.38 | $2.88 | $3.02 | 757 800 |
Jun 28, 2016 | $2.82 | $3.50 | $2.71 | $3.16 | 2 287 500 |
Jun 27, 2016 | $3.09 | $3.16 | $2.69 | $2.70 | 364 200 |
Jun 24, 2016 | $3.12 | $3.22 | $3.03 | $3.16 | 1 635 800 |
Jun 23, 2016 | $3.23 | $3.31 | $3.15 | $3.29 | 242 100 |
Jun 22, 2016 | $3.22 | $3.34 | $3.09 | $3.17 | 215 600 |
Jun 21, 2016 | $3.17 | $3.23 | $3.00 | $3.21 | 226 800 |
Jun 20, 2016 | $3.31 | $3.39 | $3.06 | $3.15 | 158 600 |
Jun 17, 2016 | $3.32 | $3.54 | $3.20 | $3.26 | 217 500 |
Jun 16, 2016 | $3.24 | $3.38 | $3.18 | $3.30 | 111 853 |
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 DRNA stock historical prices to predict future price movements?
Trend Analysis: Examine the DRNA 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 DRNA 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.