NASDAQ:RNA
Avidity Biosciences LLC Stock Price (Quote)
$27.94
+0.240 (+0.87%)
At Close: Jun 05, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $24.96 | $30.84 | Wednesday, 5th Jun 2024 RNA stock ended at $27.94. This is 0.87% more than the trading day before Tuesday, 4th Jun 2024. During the day the stock fluctuated 6.03% from a day low at $27.19 to a day high of $28.83. |
90 days | $19.24 | $30.84 | |
52 weeks | $4.84 | $30.84 |
Historical Avidity Biosciences LLC prices
Date | Open | High | Low | Close | Volume |
Aug 18, 2023 | $8.15 | $8.42 | $8.07 | $8.24 | 474 882 |
Aug 17, 2023 | $8.41 | $8.47 | $8.20 | $8.25 | 543 907 |
Aug 16, 2023 | $8.59 | $8.72 | $8.21 | $8.39 | 577 932 |
Aug 15, 2023 | $8.76 | $8.77 | $8.43 | $8.68 | 662 111 |
Aug 14, 2023 | $8.82 | $8.87 | $8.35 | $8.77 | 632 619 |
Aug 11, 2023 | $8.89 | $9.16 | $8.73 | $8.87 | 483 743 |
Aug 10, 2023 | $9.34 | $9.34 | $8.81 | $8.96 | 632 684 |
Aug 09, 2023 | $9.49 | $9.84 | $8.88 | $9.35 | 976 243 |
Aug 08, 2023 | $8.80 | $9.24 | $8.77 | $8.93 | 791 066 |
Aug 07, 2023 | $9.48 | $9.32 | $8.75 | $8.82 | 745 388 |
Aug 04, 2023 | $9.36 | $9.50 | $9.22 | $9.28 | 476 903 |
Aug 03, 2023 | $9.29 | $9.50 | $9.18 | $9.36 | 541 581 |
Aug 02, 2023 | $9.40 | $9.48 | $9.19 | $9.30 | 592 968 |
Aug 01, 2023 | $9.48 | $9.54 | $9.28 | $9.52 | 516 090 |
Jul 31, 2023 | $9.31 | $9.57 | $9.21 | $9.51 | 549 417 |
Jul 28, 2023 | $9.22 | $9.47 | $9.11 | $9.30 | 633 466 |
Jul 27, 2023 | $9.37 | $9.37 | $9.01 | $9.10 | 644 798 |
Jul 26, 2023 | $9.16 | $9.33 | $8.86 | $9.31 | 1 534 965 |
Jul 25, 2023 | $9.75 | $9.79 | $9.14 | $9.16 | 642 415 |
Jul 24, 2023 | $10.01 | $10.06 | $9.65 | $9.75 | 621 433 |
Jul 21, 2023 | $10.16 | $10.26 | $9.97 | $10.03 | 421 684 |
Jul 20, 2023 | $10.27 | $10.36 | $10.06 | $10.09 | 633 635 |
Jul 19, 2023 | $10.77 | $10.79 | $10.22 | $10.26 | 560 057 |
Jul 18, 2023 | $10.74 | $10.97 | $10.67 | $10.74 | 373 879 |
Jul 17, 2023 | $10.88 | $11.08 | $10.77 | $10.79 | 479 432 |
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 RNA stock historical prices to predict future price movements?
Trend Analysis: Examine the RNA 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 RNA 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.