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 |
Apr 12, 2024 | $5.34 | $5.55 | $5.16 | $5.28 | 263 974 |
Apr 11, 2024 | $5.31 | $5.50 | $5.29 | $5.44 | 268 299 |
Apr 10, 2024 | $5.10 | $5.29 | $4.94 | $5.25 | 236 405 |
Apr 09, 2024 | $5.25 | $5.34 | $5.00 | $5.24 | 377 933 |
Apr 08, 2024 | $5.02 | $5.20 | $5.01 | $5.10 | 174 980 |
Apr 05, 2024 | $5.34 | $5.41 | $5.01 | $5.02 | 422 749 |
Apr 04, 2024 | $5.46 | $5.66 | $5.28 | $5.28 | 298 117 |
Apr 03, 2024 | $5.71 | $5.83 | $5.45 | $5.46 | 264 108 |
Apr 02, 2024 | $6.31 | $6.31 | $5.59 | $5.61 | 215 959 |
Apr 01, 2024 | $6.31 | $6.36 | $5.65 | $6.25 | 1 326 965 |
Mar 28, 2024 | $6.54 | $6.68 | $6.20 | $6.22 | 1 154 185 |
Mar 27, 2024 | $6.16 | $6.79 | $6.16 | $6.53 | 871 453 |
Mar 26, 2024 | $6.20 | $6.45 | $6.06 | $6.13 | 701 096 |
Mar 25, 2024 | $6.31 | $6.46 | $6.15 | $6.16 | 948 332 |
Mar 22, 2024 | $6.71 | $6.71 | $5.81 | $6.24 | 613 004 |
Mar 21, 2024 | $6.08 | $6.19 | $5.96 | $6.07 | 107 680 |
Mar 20, 2024 | $6.01 | $6.23 | $5.80 | $6.07 | 197 937 |
Mar 19, 2024 | $5.79 | $6.09 | $5.73 | $6.04 | 496 852 |
Mar 18, 2024 | $5.98 | $5.98 | $5.57 | $5.77 | 208 874 |
Mar 15, 2024 | $5.66 | $5.97 | $5.50 | $5.93 | 389 290 |
Mar 14, 2024 | $6.50 | $6.50 | $5.67 | $5.73 | 264 620 |
Mar 13, 2024 | $6.23 | $6.49 | $6.18 | $6.41 | 156 910 |
Mar 12, 2024 | $5.74 | $6.51 | $5.69 | $6.19 | 429 116 |
Mar 11, 2024 | $5.31 | $5.68 | $5.26 | $5.66 | 171 501 |
Mar 08, 2024 | $5.51 | $5.56 | $5.12 | $5.31 | 232 532 |
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.