NASDAQ:AMRS
Delisted
Amyris Stock Price (Quote)
$0.0500
+0 (+0%)
At Close: Nov 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0500 | $0.0500 | Monday, 27th Nov 2023 AMRS stock ended at $0.0500. During the day the stock fluctuated 0% from a day low at $0.0500 to a day high of $0.0500. |
90 days | $0.0500 | $0.0500 | |
52 weeks | $0.0351 | $2.30 |
Date | Open | High | Low | Close | Volume |
Oct 29, 2019 | $3.69 | $3.78 | $3.61 | $3.70 | 275 993 |
Oct 28, 2019 | $3.68 | $3.77 | $3.67 | $3.69 | 250 247 |
Oct 25, 2019 | $3.70 | $3.81 | $3.65 | $3.69 | 451 456 |
Oct 24, 2019 | $3.66 | $3.77 | $3.54 | $3.71 | 542 028 |
Oct 23, 2019 | $3.66 | $3.78 | $3.66 | $3.73 | 332 025 |
Oct 22, 2019 | $3.79 | $3.84 | $3.66 | $3.71 | 753 745 |
Oct 21, 2019 | $3.58 | $3.86 | $3.58 | $3.80 | 696 620 |
Oct 18, 2019 | $3.77 | $3.84 | $3.58 | $3.61 | 545 248 |
Oct 17, 2019 | $3.48 | $3.79 | $3.42 | $3.76 | 655 497 |
Oct 16, 2019 | $3.44 | $3.55 | $3.35 | $3.46 | 404 599 |
Oct 15, 2019 | $3.51 | $3.63 | $3.45 | $3.46 | 533 455 |
Oct 14, 2019 | $3.58 | $3.64 | $3.43 | $3.53 | 554 599 |
Oct 11, 2019 | $3.44 | $3.67 | $3.25 | $3.65 | 1 482 976 |
Oct 10, 2019 | $3.77 | $3.82 | $3.39 | $3.46 | 884 475 |
Oct 09, 2019 | $3.99 | $4.01 | $3.58 | $3.60 | 1 599 298 |
Oct 08, 2019 | $4.28 | $4.28 | $3.99 | $4.00 | 775 158 |
Oct 07, 2019 | $4.35 | $4.45 | $4.24 | $4.31 | 792 788 |
Oct 04, 2019 | $4.28 | $4.46 | $4.21 | $4.40 | 618 824 |
Oct 03, 2019 | $4.39 | $4.39 | $3.79 | $4.35 | 2 055 654 |
Oct 02, 2019 | $4.68 | $4.69 | $4.44 | $4.57 | 783 296 |
Oct 01, 2019 | $4.69 | $5.26 | $4.59 | $4.69 | 1 982 080 |
Sep 30, 2019 | $4.71 | $4.78 | $4.48 | $4.76 | 730 587 |
Sep 27, 2019 | $4.74 | $4.99 | $4.62 | $4.76 | 854 612 |
Sep 26, 2019 | $4.77 | $4.86 | $4.65 | $4.74 | 441 687 |
Sep 25, 2019 | $4.49 | $4.86 | $4.47 | $4.79 | 670 771 |
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 AMRS stock historical prices to predict future price movements?
Trend Analysis: Examine the AMRS 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 AMRS 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.