NYSE:EXPR
Express Inc Stock Price (Quote)
$0.83
+0 (+0%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.350 | $0.97 | Monday, 13th May 2024 EXPR stock ended at $0.83. During the day the stock fluctuated 0% from a day low at $0.83 to a day high of $0.83. |
90 days | $0.350 | $3.78 | |
52 weeks | $0.350 | $10.89 |
Date | Open | High | Low | Close | Volume |
Jul 27, 2023 | $0.80 | $0.83 | $0.753 | $0.753 | 1 198 494 |
Jul 26, 2023 | $0.700 | $0.780 | $0.700 | $0.780 | 543 402 |
Jul 25, 2023 | $0.760 | $0.765 | $0.700 | $0.730 | 988 917 |
Jul 24, 2023 | $0.693 | $0.80 | $0.681 | $0.760 | 2 104 423 |
Jul 21, 2023 | $0.700 | $0.710 | $0.680 | $0.680 | 422 410 |
Jul 20, 2023 | $0.720 | $0.725 | $0.700 | $0.710 | 528 382 |
Jul 19, 2023 | $0.729 | $0.730 | $0.706 | $0.720 | 446 480 |
Jul 18, 2023 | $0.701 | $0.730 | $0.700 | $0.719 | 387 763 |
Jul 17, 2023 | $0.690 | $0.745 | $0.690 | $0.710 | 554 662 |
Jul 14, 2023 | $0.740 | $0.746 | $0.670 | $0.687 | 875 774 |
Jul 13, 2023 | $0.725 | $0.780 | $0.710 | $0.743 | 1 410 800 |
Jul 12, 2023 | $0.700 | $0.719 | $0.693 | $0.701 | 826 374 |
Jul 11, 2023 | $0.643 | $0.740 | $0.643 | $0.700 | 2 025 993 |
Jul 10, 2023 | $0.622 | $0.659 | $0.618 | $0.649 | 1 005 013 |
Jul 07, 2023 | $0.610 | $0.650 | $0.609 | $0.615 | 1 181 990 |
Jul 06, 2023 | $0.620 | $0.630 | $0.601 | $0.605 | 384 481 |
Jul 05, 2023 | $0.611 | $0.630 | $0.608 | $0.620 | 607 967 |
Jul 03, 2023 | $0.580 | $0.644 | $0.580 | $0.611 | 1 256 034 |
Jun 30, 2023 | $0.606 | $0.615 | $0.590 | $0.593 | 1 070 994 |
Jun 29, 2023 | $0.600 | $0.614 | $0.600 | $0.612 | 465 577 |
Jun 28, 2023 | $0.630 | $0.630 | $0.600 | $0.600 | 624 388 |
Jun 27, 2023 | $0.593 | $0.628 | $0.593 | $0.610 | 700 393 |
Jun 26, 2023 | $0.610 | $0.618 | $0.571 | $0.571 | 621 431 |
Jun 23, 2023 | $0.594 | $0.630 | $0.589 | $0.589 | 1 105 741 |
Jun 22, 2023 | $0.620 | $0.624 | $0.595 | $0.609 | 1 107 073 |
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 EXPR stock historical prices to predict future price movements?
Trend Analysis: Examine the EXPR 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 EXPR 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.