NYSE:MIC
Delisted
Macquarie Infrastructure Company Stock Price (Quote)
$4.09
+0 (+0%)
At Close: Nov 10, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.09 | $4.09 | Thursday, 10th Nov 2022 MIC stock ended at $4.09. During the day the stock fluctuated 0% from a day low at $4.09 to a day high of $4.09. |
90 days | $4.09 | $4.09 | |
52 weeks | $3.53 | $4.10 |
Date | Open | High | Low | Close | Volume |
Nov 12, 2021 | $3.67 | $3.69 | $3.67 | $3.68 | 912 944 |
Nov 11, 2021 | $3.68 | $3.69 | $3.66 | $3.66 | 1 020 084 |
Nov 10, 2021 | $3.69 | $3.69 | $3.67 | $3.68 | 2 653 125 |
Nov 09, 2021 | $3.66 | $3.72 | $3.65 | $3.70 | 3 058 651 |
Nov 08, 2021 | $3.70 | $3.71 | $3.65 | $3.66 | 2 652 360 |
Nov 05, 2021 | $3.68 | $3.71 | $3.67 | $3.68 | 1 908 070 |
Nov 04, 2021 | $3.68 | $3.72 | $3.68 | $3.69 | 2 501 887 |
Nov 03, 2021 | $3.68 | $3.70 | $3.67 | $3.70 | 1 355 897 |
Nov 02, 2021 | $3.69 | $3.70 | $3.68 | $3.69 | 2 049 648 |
Nov 01, 2021 | $3.69 | $3.72 | $3.69 | $3.69 | 817 439 |
Oct 29, 2021 | $3.69 | $3.70 | $3.69 | $3.69 | 731 602 |
Oct 28, 2021 | $3.68 | $3.70 | $3.68 | $3.70 | 1 471 678 |
Oct 27, 2021 | $3.69 | $3.70 | $3.67 | $3.68 | 1 172 121 |
Oct 26, 2021 | $3.71 | $3.73 | $3.68 | $3.70 | 4 380 364 |
Oct 25, 2021 | $3.68 | $3.70 | $3.68 | $3.68 | 1 438 957 |
Oct 22, 2021 | $3.68 | $3.71 | $3.68 | $3.70 | 2 129 823 |
Oct 21, 2021 | $3.68 | $3.73 | $3.68 | $3.69 | 1 439 949 |
Oct 20, 2021 | $3.73 | $3.74 | $3.70 | $3.71 | 1 831 673 |
Oct 19, 2021 | $3.68 | $3.74 | $3.68 | $3.72 | 3 114 985 |
Oct 18, 2021 | $3.70 | $3.73 | $3.68 | $3.72 | 3 265 687 |
Oct 15, 2021 | $3.72 | $3.79 | $3.70 | $3.70 | 2 240 941 |
Oct 14, 2021 | $3.79 | $3.80 | $3.72 | $3.74 | 2 685 293 |
Oct 13, 2021 | $3.72 | $3.77 | $3.71 | $3.75 | 4 081 053 |
Oct 12, 2021 | $3.75 | $3.80 | $3.68 | $3.76 | 11 602 212 |
Oct 11, 2021 | $3.71 | $3.79 | $3.64 | $3.76 | 15 254 994 |
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 MIC stock historical prices to predict future price movements?
Trend Analysis: Examine the MIC 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 MIC 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.