NASDAQ:LYRA
Lyra Therapeutics Inc. Stock Price (Quote)
$0.383
+0.0154 (+4.19%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.347 | $5.77 | Friday, 17th May 2024 LYRA stock ended at $0.383. This is 4.19% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 17.03% from a day low at $0.358 to a day high of $0.419. |
90 days | $0.347 | $6.79 | |
52 weeks | $0.347 | $6.79 |
Date | Open | High | Low | Close | Volume |
Aug 02, 2023 | $3.27 | $3.30 | $3.15 | $3.28 | 58 772 |
Aug 01, 2023 | $3.18 | $3.34 | $3.18 | $3.28 | 88 951 |
Jul 31, 2023 | $3.35 | $3.42 | $3.10 | $3.22 | 366 909 |
Jul 28, 2023 | $3.09 | $3.39 | $3.09 | $3.30 | 310 455 |
Jul 27, 2023 | $3.10 | $3.18 | $2.95 | $3.09 | 312 366 |
Jul 26, 2023 | $3.13 | $3.24 | $3.03 | $3.10 | 297 460 |
Jul 25, 2023 | $3.24 | $3.41 | $3.09 | $3.11 | 284 412 |
Jul 24, 2023 | $3.31 | $3.60 | $3.15 | $3.32 | 376 018 |
Jul 21, 2023 | $3.17 | $3.40 | $3.10 | $3.32 | 1 106 276 |
Jul 20, 2023 | $3.04 | $3.18 | $2.95 | $3.07 | 167 558 |
Jul 19, 2023 | $3.01 | $3.20 | $2.92 | $2.95 | 190 621 |
Jul 18, 2023 | $3.20 | $3.20 | $3.05 | $3.07 | 81 595 |
Jul 17, 2023 | $3.06 | $3.37 | $3.05 | $3.20 | 111 624 |
Jul 14, 2023 | $3.06 | $3.15 | $3.02 | $3.06 | 48 929 |
Jul 13, 2023 | $3.05 | $3.19 | $3.05 | $3.09 | 134 889 |
Jul 12, 2023 | $3.28 | $3.30 | $3.06 | $3.07 | 96 205 |
Jul 11, 2023 | $3.40 | $3.50 | $3.06 | $3.27 | 563 802 |
Jul 10, 2023 | $3.71 | $3.76 | $3.41 | $3.46 | 170 902 |
Jul 07, 2023 | $3.90 | $3.90 | $3.67 | $3.70 | 48 600 |
Jul 06, 2023 | $4.04 | $4.04 | $3.76 | $3.90 | 107 682 |
Jul 05, 2023 | $4.04 | $4.14 | $4.04 | $4.05 | 41 950 |
Jul 03, 2023 | $4.05 | $4.24 | $4.05 | $4.10 | 28 364 |
Jun 30, 2023 | $4.17 | $4.17 | $3.86 | $4.11 | 112 270 |
Jun 29, 2023 | $4.29 | $4.39 | $3.85 | $4.15 | 271 326 |
Jun 28, 2023 | $4.09 | $4.44 | $3.97 | $4.28 | 93 311 |
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 LYRA stock historical prices to predict future price movements?
Trend Analysis: Examine the LYRA 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 LYRA 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.