NASDAQ:LNZA
LanzaTech Global, Inc. Stock Price (Quote)
$3.03
-0.0100 (-0.329%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.98 | $3.26 | Wednesday, 29th May 2024 LNZA stock ended at $3.03. This is 0.329% less than the trading day before Tuesday, 28th May 2024. During the day the stock fluctuated 13.24% from a day low at $2.72 to a day high of $3.08. |
90 days | $1.86 | $3.51 | |
52 weeks | $1.86 | $8.70 |
Historical LanzaTech Global, Inc. prices
Date | Open | High | Low | Close | Volume |
Oct 23, 2023 | $4.25 | $4.50 | $4.16 | $4.19 | 210 529 |
Oct 20, 2023 | $4.51 | $4.51 | $4.08 | $4.29 | 236 887 |
Oct 19, 2023 | $4.81 | $4.97 | $4.44 | $4.50 | 174 907 |
Oct 18, 2023 | $4.95 | $4.97 | $4.75 | $4.86 | 147 662 |
Oct 17, 2023 | $4.52 | $4.95 | $4.52 | $4.93 | 294 173 |
Oct 16, 2023 | $4.30 | $4.64 | $4.30 | $4.53 | 240 685 |
Oct 13, 2023 | $4.14 | $4.28 | $4.08 | $4.27 | 167 543 |
Oct 12, 2023 | $4.41 | $4.50 | $4.09 | $4.18 | 311 899 |
Oct 11, 2023 | $4.49 | $4.54 | $4.15 | $4.40 | 318 772 |
Oct 10, 2023 | $4.41 | $4.56 | $4.18 | $4.54 | 445 191 |
Oct 09, 2023 | $3.76 | $4.33 | $3.64 | $4.33 | 314 760 |
Oct 06, 2023 | $3.84 | $3.91 | $3.49 | $3.81 | 418 704 |
Oct 05, 2023 | $3.78 | $4.04 | $3.72 | $3.83 | 320 673 |
Oct 04, 2023 | $3.88 | $3.93 | $3.61 | $3.82 | 453 298 |
Oct 03, 2023 | $4.07 | $4.13 | $3.52 | $3.92 | 856 668 |
Oct 02, 2023 | $4.71 | $4.80 | $3.74 | $4.16 | 912 264 |
Sep 29, 2023 | $5.50 | $5.50 | $4.01 | $4.67 | 1 691 907 |
Sep 28, 2023 | $5.56 | $5.75 | $5.25 | $5.30 | 1 966 018 |
Sep 27, 2023 | $5.47 | $5.96 | $5.44 | $5.54 | 698 985 |
Sep 26, 2023 | $5.71 | $5.80 | $5.47 | $5.49 | 492 281 |
Sep 25, 2023 | $5.98 | $6.07 | $5.60 | $5.76 | 641 159 |
Sep 22, 2023 | $5.61 | $6.08 | $5.50 | $5.96 | 981 848 |
Sep 21, 2023 | $6.86 | $6.97 | $5.37 | $5.43 | 907 842 |
Sep 20, 2023 | $8.40 | $8.70 | $6.87 | $6.93 | 516 398 |
Sep 19, 2023 | $8.19 | $8.66 | $8.17 | $8.38 | 1 492 396 |
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.