NYSE:AMAM
Ambrx Biopharma Inc. Stock Price (Quote)
$28.00
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $28.00 | $28.00 | Monday, 20th May 2024 AMAM stock ended at $28.00. During the day the stock fluctuated 0% from a day low at $28.00 to a day high of $28.00. |
90 days | $27.61 | $28.00 | |
52 weeks | $6.56 | $28.15 |
Date | Open | High | Low | Close | Volume |
Mar 07, 2024 | $28.00 | $28.00 | $28.00 | $28.00 | 0 |
Mar 06, 2024 | $27.99 | $28.00 | $27.98 | $28.00 | 1 422 420 |
Mar 05, 2024 | $27.98 | $28.00 | $27.98 | $27.98 | 1 016 817 |
Mar 04, 2024 | $27.98 | $27.98 | $27.97 | $27.97 | 661 296 |
Mar 01, 2024 | $27.94 | $27.98 | $27.93 | $27.98 | 2 313 835 |
Feb 29, 2024 | $27.94 | $27.95 | $27.93 | $27.94 | 2 033 428 |
Feb 28, 2024 | $27.93 | $27.96 | $27.90 | $27.94 | 3 241 732 |
Feb 27, 2024 | $27.96 | $27.96 | $27.91 | $27.91 | 712 614 |
Feb 26, 2024 | $27.95 | $27.97 | $27.94 | $27.94 | 706 191 |
Feb 23, 2024 | $27.91 | $27.94 | $27.91 | $27.94 | 1 623 512 |
Feb 22, 2024 | $27.93 | $27.96 | $27.91 | $27.93 | 7 717 045 |
Feb 21, 2024 | $27.74 | $27.80 | $27.61 | $27.70 | 1 609 364 |
Feb 20, 2024 | $27.77 | $27.78 | $27.62 | $27.74 | 1 209 250 |
Feb 16, 2024 | $27.79 | $27.80 | $27.74 | $27.77 | 943 203 |
Feb 15, 2024 | $27.78 | $27.80 | $27.71 | $27.75 | 1 434 614 |
Feb 14, 2024 | $27.82 | $27.82 | $27.76 | $27.77 | 525 493 |
Feb 13, 2024 | $27.80 | $27.80 | $27.75 | $27.77 | 682 079 |
Feb 12, 2024 | $27.80 | $27.82 | $27.76 | $27.79 | 627 288 |
Feb 09, 2024 | $27.80 | $27.80 | $27.75 | $27.79 | 945 815 |
Feb 08, 2024 | $27.80 | $27.81 | $27.78 | $27.79 | 814 075 |
Feb 07, 2024 | $27.78 | $27.81 | $27.78 | $27.79 | 240 366 |
Feb 06, 2024 | $27.78 | $27.81 | $27.77 | $27.78 | 916 474 |
Feb 05, 2024 | $27.80 | $27.82 | $27.75 | $27.78 | 924 417 |
Feb 02, 2024 | $27.80 | $27.88 | $27.78 | $27.79 | 1 167 503 |
Feb 01, 2024 | $27.80 | $27.80 | $27.77 | $27.78 | 845 770 |
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 AMAM stock historical prices to predict future price movements?
Trend Analysis: Examine the AMAM 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 AMAM 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.