NASDAQ:LNZA
LanzaTech Global, Inc. Stock Price (Quote)
$2.51
-0.0300 (-1.18%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.86 | $3.13 | Friday, 17th May 2024 LNZA stock ended at $2.51. This is 1.18% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.49% from a day low at $2.39 to a day high of $2.55. |
90 days | $1.86 | $3.71 | |
52 weeks | $1.86 | $8.70 |
Date | Open | High | Low | Close | Volume |
Jun 27, 2023 | $6.31 | $7.07 | $6.31 | $6.97 | 271 178 |
Jun 26, 2023 | $6.22 | $6.22 | $5.40 | $6.14 | 351 853 |
Jun 23, 2023 | $6.22 | $6.65 | $5.85 | $6.40 | 2 376 508 |
Jun 22, 2023 | $6.74 | $6.80 | $5.93 | $6.35 | 376 818 |
Jun 21, 2023 | $5.71 | $6.95 | $5.62 | $6.67 | 548 590 |
Jun 20, 2023 | $5.59 | $5.79 | $5.15 | $5.70 | 482 224 |
Jun 16, 2023 | $4.52 | $5.53 | $4.45 | $5.30 | 4 043 335 |
Jun 15, 2023 | $4.15 | $4.53 | $4.15 | $4.42 | 305 831 |
Jun 14, 2023 | $4.25 | $4.50 | $4.20 | $4.24 | 254 953 |
Jun 13, 2023 | $4.20 | $4.30 | $3.95 | $4.21 | 257 737 |
Jun 12, 2023 | $4.38 | $4.50 | $4.14 | $4.20 | 359 594 |
Jun 09, 2023 | $3.93 | $4.27 | $3.85 | $4.25 | 235 404 |
Jun 08, 2023 | $4.23 | $4.30 | $3.77 | $4.01 | 265 486 |
Jun 07, 2023 | $3.70 | $4.35 | $3.68 | $4.18 | 314 082 |
Jun 06, 2023 | $3.98 | $4.22 | $3.77 | $4.04 | 456 171 |
Jun 05, 2023 | $3.49 | $4.05 | $3.43 | $4.00 | 601 398 |
Jun 02, 2023 | $3.48 | $3.48 | $3.12 | $3.36 | 68 064 |
Jun 01, 2023 | $3.06 | $3.39 | $2.95 | $3.39 | 186 738 |
May 31, 2023 | $2.90 | $2.98 | $2.89 | $2.94 | 16 363 |
May 30, 2023 | $2.88 | $2.94 | $2.63 | $2.90 | 113 375 |
May 26, 2023 | $2.91 | $3.13 | $2.81 | $2.81 | 101 389 |
May 25, 2023 | $3.10 | $3.23 | $2.64 | $2.90 | 279 045 |
May 24, 2023 | $3.39 | $3.39 | $3.20 | $3.23 | 44 225 |
May 23, 2023 | $3.33 | $3.50 | $3.24 | $3.24 | 130 843 |
May 22, 2023 | $3.44 | $3.44 | $3.30 | $3.39 | 97 076 |
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 LNZA stock historical prices to predict future price movements?
Trend Analysis: Examine the LNZA 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 LNZA 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.