NYSE:FEI
First Trust MLP and Energy Income Fund Stock Price (Quote)
$9.83
+0 (+0%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.65 | $9.90 | Tuesday, 28th May 2024 FEI stock ended at $9.83. During the day the stock fluctuated 0% from a day low at $9.83 to a day high of $9.83. |
90 days | $8.58 | $9.90 | |
52 weeks | $7.29 | $9.90 |
Historical First Trust MLP and Energy Income Fund prices
Date | Open | High | Low | Close | Volume |
Feb 29, 2016 | $12.55 | $12.91 | $12.48 | $12.72 | 232 800 |
Feb 26, 2016 | $12.16 | $12.56 | $12.04 | $12.36 | 212 300 |
Feb 25, 2016 | $11.78 | $12.05 | $11.73 | $11.72 | 217 200 |
Feb 24, 2016 | $11.25 | $11.93 | $11.11 | $11.75 | 362 600 |
Feb 23, 2016 | $11.70 | $11.82 | $11.39 | $11.31 | 321 900 |
Feb 22, 2016 | $11.65 | $12.05 | $11.65 | $11.83 | 243 200 |
Feb 19, 2016 | $11.40 | $11.42 | $11.17 | $11.21 | 248 500 |
Feb 18, 2016 | $11.59 | $11.66 | $11.29 | $11.39 | 292 600 |
Feb 17, 2016 | $10.98 | $11.42 | $10.85 | $11.28 | 631 900 |
Feb 16, 2016 | $10.33 | $10.69 | $10.26 | $10.58 | 488 000 |
Feb 12, 2016 | $9.50 | $10.00 | $9.47 | $9.87 | 518 900 |
Feb 11, 2016 | $9.63 | $10.09 | $9.16 | $9.31 | 722 300 |
Feb 10, 2016 | $10.18 | $10.45 | $9.90 | $9.93 | 273 600 |
Feb 09, 2016 | $10.01 | $10.35 | $9.83 | $10.01 | 328 400 |
Feb 08, 2016 | $11.24 | $11.24 | $10.10 | $10.27 | 455 600 |
Feb 05, 2016 | $11.64 | $11.78 | $11.39 | $11.36 | 189 400 |
Feb 04, 2016 | $11.46 | $11.92 | $11.33 | $11.72 | 319 900 |
Feb 03, 2016 | $11.34 | $11.43 | $10.85 | $11.22 | 422 600 |
Feb 02, 2016 | $11.05 | $11.08 | $10.76 | $10.95 | 248 500 |
Feb 01, 2016 | $11.15 | $11.28 | $10.87 | $11.09 | 373 700 |
Jan 29, 2016 | $11.18 | $11.62 | $11.18 | $11.26 | 379 200 |
Jan 28, 2016 | $10.98 | $11.29 | $10.85 | $10.88 | 206 200 |
Jan 27, 2016 | $10.52 | $10.76 | $10.28 | $10.27 | 396 300 |
Jan 26, 2016 | $10.36 | $10.85 | $10.16 | $10.37 | 559 000 |
Jan 25, 2016 | $10.33 | $10.95 | $10.17 | $10.01 | 675 600 |
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 FEI stock historical prices to predict future price movements?
Trend Analysis: Examine the FEI 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 FEI 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.