NASDAQ:ASNA
Delisted
Ascena Retail Group Stock Price (Quote)
$0.105
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.105 | $0.105 | Friday, 27th May 2022 ASNA stock ended at $0.105. During the day the stock fluctuated 0% from a day low at $0.105 to a day high of $0.105. |
90 days | $0.105 | $0.105 | |
52 weeks | $0.105 | $0.105 |
Date | Open | High | Low | Close | Volume |
Oct 30, 2018 | $3.75 | $4.26 | $3.72 | $4.24 | 2 658 378 |
Oct 29, 2018 | $3.72 | $3.95 | $3.70 | $3.77 | 2 302 502 |
Oct 26, 2018 | $3.70 | $3.83 | $3.60 | $3.68 | 1 739 891 |
Oct 25, 2018 | $3.76 | $3.86 | $3.66 | $3.77 | 1 564 263 |
Oct 24, 2018 | $3.70 | $3.85 | $3.61 | $3.71 | 1 728 811 |
Oct 23, 2018 | $3.67 | $3.73 | $3.46 | $3.69 | 3 612 109 |
Oct 22, 2018 | $3.65 | $3.86 | $3.62 | $3.77 | 2 205 790 |
Oct 19, 2018 | $3.91 | $4.00 | $3.62 | $3.63 | 2 643 651 |
Oct 18, 2018 | $4.26 | $4.32 | $3.86 | $3.90 | 1 831 715 |
Oct 17, 2018 | $4.55 | $4.55 | $4.16 | $4.27 | 2 410 636 |
Oct 16, 2018 | $4.66 | $4.66 | $4.47 | $4.55 | 1 543 169 |
Oct 15, 2018 | $4.54 | $4.71 | $4.52 | $4.62 | 1 932 173 |
Oct 12, 2018 | $4.68 | $4.73 | $4.41 | $4.52 | 2 407 194 |
Oct 11, 2018 | $4.27 | $4.69 | $4.23 | $4.58 | 5 643 062 |
Oct 10, 2018 | $4.37 | $4.40 | $4.19 | $4.26 | 1 481 027 |
Oct 09, 2018 | $4.20 | $4.49 | $4.18 | $4.34 | 2 348 810 |
Oct 08, 2018 | $4.28 | $4.47 | $4.09 | $4.20 | 2 414 926 |
Oct 05, 2018 | $4.18 | $4.44 | $4.14 | $4.32 | 2 986 953 |
Oct 04, 2018 | $4.05 | $4.30 | $3.98 | $4.19 | 3 444 265 |
Oct 03, 2018 | $3.86 | $4.06 | $3.77 | $4.05 | 3 010 487 |
Oct 02, 2018 | $4.22 | $4.29 | $3.81 | $3.86 | 3 646 636 |
Oct 01, 2018 | $4.55 | $4.65 | $4.19 | $4.20 | 4 102 405 |
Sep 28, 2018 | $4.71 | $4.87 | $4.54 | $4.57 | 3 142 174 |
Sep 27, 2018 | $4.69 | $5.08 | $4.66 | $4.76 | 4 652 309 |
Sep 26, 2018 | $4.48 | $4.84 | $4.30 | $4.69 | 6 290 904 |
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 ASNA stock historical prices to predict future price movements?
Trend Analysis: Examine the ASNA 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 ASNA 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.