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 |
Sep 24, 2019 | $4.51 | $4.57 | $4.36 | $4.55 | 1 122 989 |
Sep 23, 2019 | $4.40 | $4.58 | $4.30 | $4.55 | 1 307 439 |
Sep 20, 2019 | $4.36 | $4.42 | $4.18 | $4.39 | 1 154 591 |
Sep 19, 2019 | $4.50 | $4.50 | $4.32 | $4.38 | 1 031 187 |
Sep 18, 2019 | $4.51 | $4.52 | $4.25 | $4.41 | 764 315 |
Sep 17, 2019 | $4.79 | $4.79 | $4.28 | $4.56 | 685 166 |
Sep 16, 2019 | $4.85 | $4.86 | $4.56 | $4.79 | 473 302 |
Sep 13, 2019 | $4.73 | $4.86 | $4.63 | $4.80 | 588 065 |
Sep 12, 2019 | $4.82 | $4.96 | $4.60 | $4.72 | 690 342 |
Sep 11, 2019 | $4.59 | $4.97 | $4.50 | $4.81 | 1 470 011 |
Sep 10, 2019 | $4.26 | $4.60 | $4.12 | $4.56 | 1 516 702 |
Sep 09, 2019 | $4.15 | $4.31 | $4.01 | $4.28 | 834 114 |
Sep 06, 2019 | $4.15 | $4.20 | $4.00 | $4.15 | 631 740 |
Sep 05, 2019 | $4.00 | $4.20 | $3.95 | $4.10 | 1 154 900 |
Sep 04, 2019 | $3.82 | $4.00 | $3.55 | $3.97 | 953 447 |
Sep 03, 2019 | $3.85 | $3.87 | $3.66 | $3.80 | 409 046 |
Aug 30, 2019 | $3.78 | $3.95 | $3.65 | $3.78 | 650 040 |
Aug 29, 2019 | $3.69 | $3.76 | $3.55 | $3.73 | 555 365 |
Aug 28, 2019 | $3.81 | $3.87 | $3.51 | $3.67 | 636 408 |
Aug 27, 2019 | $3.91 | $3.94 | $3.65 | $3.71 | 740 901 |
Aug 26, 2019 | $4.10 | $4.11 | $3.79 | $3.97 | 627 540 |
Aug 23, 2019 | $4.01 | $4.13 | $3.96 | $4.05 | 748 809 |
Aug 22, 2019 | $4.32 | $4.39 | $3.99 | $4.06 | 885 484 |
Aug 21, 2019 | $4.25 | $4.50 | $4.25 | $4.32 | 728 108 |
Aug 20, 2019 | $4.40 | $4.40 | $4.14 | $4.22 | 914 962 |
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.