NASDAQ:FMBI
Delisted
First Midwest Bancorp Stock Price (Quote)
$21.51
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $21.51 | $21.51 | Friday, 27th May 2022 FMBI stock ended at $21.51. During the day the stock fluctuated 0% from a day low at $21.51 to a day high of $21.51. |
90 days | $21.51 | $21.51 | |
52 weeks | $17.41 | $22.83 |
Date | Open | High | Low | Close | Volume |
Oct 30, 2018 | $22.50 | $22.90 | $22.40 | $22.88 | 510 222 |
Oct 29, 2018 | $22.11 | $22.82 | $22.04 | $22.47 | 765 289 |
Oct 26, 2018 | $21.80 | $22.00 | $21.36 | $21.76 | 1 045 941 |
Oct 25, 2018 | $21.76 | $22.55 | $21.25 | $22.20 | 974 297 |
Oct 24, 2018 | $23.77 | $23.77 | $21.98 | $22.03 | 1 009 117 |
Oct 23, 2018 | $23.50 | $23.98 | $23.32 | $23.33 | 862 351 |
Oct 22, 2018 | $24.77 | $24.88 | $23.83 | $23.85 | 390 268 |
Oct 19, 2018 | $24.80 | $25.05 | $24.49 | $24.64 | 369 210 |
Oct 18, 2018 | $25.37 | $25.50 | $24.87 | $24.92 | 272 132 |
Oct 17, 2018 | $25.33 | $25.59 | $24.95 | $25.43 | 561 289 |
Oct 16, 2018 | $25.62 | $25.62 | $25.02 | $25.41 | 356 032 |
Oct 15, 2018 | $25.18 | $25.62 | $25.06 | $25.46 | 317 512 |
Oct 12, 2018 | $26.20 | $26.20 | $24.56 | $25.16 | 679 340 |
Oct 11, 2018 | $26.62 | $26.69 | $25.85 | $25.85 | 790 168 |
Oct 10, 2018 | $26.97 | $27.38 | $26.60 | $26.62 | 435 774 |
Oct 09, 2018 | $26.87 | $27.20 | $26.87 | $27.00 | 302 838 |
Oct 08, 2018 | $26.96 | $27.11 | $26.71 | $27.01 | 372 629 |
Oct 05, 2018 | $27.11 | $27.14 | $26.68 | $26.84 | 317 806 |
Oct 04, 2018 | $26.88 | $27.29 | $26.75 | $27.00 | 383 048 |
Oct 03, 2018 | $26.29 | $27.02 | $26.20 | $26.98 | 477 949 |
Oct 02, 2018 | $26.27 | $26.45 | $26.06 | $26.19 | 241 385 |
Oct 01, 2018 | $26.71 | $26.81 | $26.17 | $26.25 | 325 343 |
Sep 28, 2018 | $26.30 | $26.70 | $26.30 | $26.59 | 427 436 |
Sep 27, 2018 | $26.78 | $26.83 | $26.38 | $26.41 | 354 878 |
Sep 26, 2018 | $27.18 | $27.21 | $26.77 | $26.83 | 501 971 |
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 FMBI stock historical prices to predict future price movements?
Trend Analysis: Examine the FMBI 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 FMBI 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.