NASDAQ:EMKR
EMCORE Corporation Stock Price (Quote)
$1.06
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.97 | $3.12 | Friday, 17th May 2024 EMKR stock ended at $1.06. During the day the stock fluctuated 5.88% from a day low at $1.02 to a day high of $1.08. |
90 days | $0.336 | $3.80 | |
52 weeks | $0.308 | $3.80 |
Date | Open | High | Low | Close | Volume |
Oct 13, 2022 | $1.41 | $1.48 | $1.36 | $1.48 | 551 331 |
Oct 12, 2022 | $1.50 | $1.52 | $1.44 | $1.44 | 195 429 |
Oct 11, 2022 | $1.48 | $1.56 | $1.44 | $1.51 | 599 143 |
Oct 10, 2022 | $1.63 | $1.68 | $1.43 | $1.49 | 850 939 |
Oct 07, 2022 | $1.70 | $1.70 | $1.62 | $1.63 | 162 534 |
Oct 06, 2022 | $1.67 | $1.72 | $1.67 | $1.70 | 144 157 |
Oct 05, 2022 | $1.75 | $1.78 | $1.70 | $1.70 | 169 206 |
Oct 04, 2022 | $1.74 | $1.83 | $1.73 | $1.77 | 240 282 |
Oct 03, 2022 | $1.72 | $1.73 | $1.67 | $1.72 | 300 279 |
Sep 30, 2022 | $1.70 | $1.75 | $1.67 | $1.67 | 159 269 |
Sep 29, 2022 | $1.77 | $1.77 | $1.68 | $1.69 | 124 703 |
Sep 28, 2022 | $1.72 | $1.83 | $1.70 | $1.79 | 263 809 |
Sep 27, 2022 | $1.73 | $1.76 | $1.69 | $1.70 | 212 619 |
Sep 26, 2022 | $1.77 | $1.82 | $1.71 | $1.74 | 301 640 |
Sep 23, 2022 | $1.77 | $1.81 | $1.73 | $1.79 | 294 989 |
Sep 22, 2022 | $1.87 | $1.89 | $1.82 | $1.84 | 220 356 |
Sep 21, 2022 | $1.89 | $1.92 | $1.84 | $1.88 | 387 647 |
Sep 20, 2022 | $2.00 | $2.02 | $1.89 | $1.92 | 234 024 |
Sep 19, 2022 | $1.98 | $2.05 | $1.94 | $2.03 | 301 191 |
Sep 16, 2022 | $2.05 | $2.07 | $1.95 | $2.02 | 1 333 080 |
Sep 15, 2022 | $2.15 | $2.17 | $2.06 | $2.06 | 177 099 |
Sep 14, 2022 | $2.17 | $2.19 | $2.14 | $2.16 | 156 509 |
Sep 13, 2022 | $2.21 | $2.24 | $2.17 | $2.18 | 128 832 |
Sep 12, 2022 | $2.23 | $2.36 | $2.23 | $2.29 | 180 988 |
Sep 09, 2022 | $2.22 | $2.27 | $2.20 | $2.25 | 171 114 |
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 EMKR stock historical prices to predict future price movements?
Trend Analysis: Examine the EMKR 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 EMKR 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.