NASDAQ:IEA
Delisted
Infrastructure & Energy Alternatives Stock Price (Quote)
$13.72
+0 (+0%)
At Close: Jan 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $13.72 | $13.72 | Friday, 27th Jan 2023 IEA stock ended at $13.72. During the day the stock fluctuated 0% from a day low at $13.72 to a day high of $13.72. |
90 days | $13.72 | $13.72 | |
52 weeks | $6.38 | $14.60 |
Date | Open | High | Low | Close | Volume |
Jun 23, 2022 | $9.13 | $9.34 | $8.96 | $9.32 | 345 994 |
Jun 22, 2022 | $9.09 | $9.33 | $8.97 | $9.08 | 260 881 |
Jun 21, 2022 | $9.36 | $9.47 | $8.95 | $9.22 | 283 294 |
Jun 17, 2022 | $8.58 | $9.31 | $8.51 | $9.21 | 927 300 |
Jun 16, 2022 | $8.56 | $8.69 | $8.20 | $8.49 | 440 253 |
Jun 15, 2022 | $8.50 | $9.07 | $8.45 | $8.88 | 572 236 |
Jun 14, 2022 | $8.56 | $8.71 | $8.16 | $8.39 | 415 374 |
Jun 13, 2022 | $8.57 | $8.79 | $8.34 | $8.60 | 565 132 |
Jun 10, 2022 | $8.84 | $9.06 | $8.71 | $8.90 | 288 443 |
Jun 09, 2022 | $9.04 | $9.38 | $8.75 | $9.02 | 283 389 |
Jun 08, 2022 | $8.88 | $8.93 | $8.69 | $8.83 | 168 707 |
Jun 07, 2022 | $8.79 | $9.05 | $8.78 | $8.99 | 271 791 |
Jun 06, 2022 | $8.60 | $9.23 | $8.41 | $9.02 | 468 728 |
Jun 03, 2022 | $8.35 | $8.36 | $7.88 | $8.10 | 200 303 |
Jun 02, 2022 | $8.06 | $8.41 | $8.06 | $8.36 | 141 369 |
Jun 01, 2022 | $8.23 | $8.43 | $7.89 | $8.01 | 275 048 |
May 31, 2022 | $8.36 | $8.54 | $7.98 | $8.13 | 359 553 |
May 27, 2022 | $8.24 | $8.54 | $8.24 | $8.41 | 211 506 |
May 26, 2022 | $7.99 | $8.34 | $7.99 | $8.26 | 234 310 |
May 25, 2022 | $7.58 | $7.99 | $7.57 | $7.94 | 281 882 |
May 24, 2022 | $7.88 | $7.95 | $7.35 | $7.68 | 291 411 |
May 23, 2022 | $7.71 | $7.98 | $7.54 | $7.96 | 260 938 |
May 20, 2022 | $7.88 | $8.08 | $7.22 | $7.61 | 408 911 |
May 19, 2022 | $7.36 | $7.97 | $7.36 | $7.78 | 504 966 |
May 18, 2022 | $7.44 | $8.36 | $7.40 | $7.47 | 758 593 |
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 IEA stock historical prices to predict future price movements?
Trend Analysis: Examine the IEA 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 IEA 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.