NYSE:RAD
Delisted
Rite Aid Corporation Stock Price (Quote)
$0.648
+0 (+0%)
At Close: Jan 12, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.648 | $0.648 | Friday, 12th Jan 2024 RAD stock ended at $0.648. During the day the stock fluctuated 0% from a day low at $0.648 to a day high of $0.648. |
90 days | $0.648 | $0.648 | |
52 weeks | $0.378 | $4.18 |
Date | Open | High | Low | Close | Volume |
Jul 17, 2023 | $1.55 | $1.55 | $1.51 | $1.51 | 938 317 |
Jul 14, 2023 | $1.67 | $1.68 | $1.52 | $1.54 | 1 895 902 |
Jul 13, 2023 | $1.62 | $1.67 | $1.60 | $1.67 | 1 127 359 |
Jul 12, 2023 | $1.65 | $1.67 | $1.60 | $1.61 | 2 268 382 |
Jul 11, 2023 | $1.58 | $1.63 | $1.51 | $1.63 | 3 108 005 |
Jul 10, 2023 | $1.67 | $1.70 | $1.59 | $1.59 | 2 854 240 |
Jul 07, 2023 | $1.55 | $1.69 | $1.52 | $1.64 | 3 584 907 |
Jul 06, 2023 | $1.44 | $1.57 | $1.42 | $1.55 | 3 099 871 |
Jul 05, 2023 | $1.50 | $1.52 | $1.43 | $1.46 | 2 706 022 |
Jul 03, 2023 | $1.50 | $1.54 | $1.48 | $1.52 | 2 048 930 |
Jun 30, 2023 | $1.57 | $1.58 | $1.50 | $1.51 | 3 804 606 |
Jun 29, 2023 | $1.57 | $1.63 | $1.52 | $1.53 | 6 919 802 |
Jun 28, 2023 | $1.58 | $1.60 | $1.52 | $1.52 | 3 374 519 |
Jun 27, 2023 | $1.76 | $1.76 | $1.53 | $1.59 | 6 912 084 |
Jun 26, 2023 | $1.91 | $1.93 | $1.77 | $1.80 | 2 451 203 |
Jun 23, 2023 | $1.96 | $1.97 | $1.89 | $1.90 | 2 227 839 |
Jun 22, 2023 | $1.98 | $2.00 | $1.93 | $1.98 | 1 808 149 |
Jun 21, 2023 | $1.85 | $2.10 | $1.84 | $1.99 | 3 599 195 |
Jun 20, 2023 | $1.84 | $1.86 | $1.79 | $1.85 | 1 183 567 |
Jun 16, 2023 | $1.83 | $1.85 | $1.79 | $1.84 | 2 096 009 |
Jun 15, 2023 | $1.78 | $1.84 | $1.74 | $1.83 | 1 711 487 |
Jun 14, 2023 | $1.85 | $1.85 | $1.74 | $1.76 | 2 200 544 |
Jun 13, 2023 | $1.81 | $1.90 | $1.80 | $1.85 | 2 199 501 |
Jun 12, 2023 | $1.86 | $1.88 | $1.79 | $1.80 | 2 535 150 |
Jun 09, 2023 | $1.88 | $1.89 | $1.82 | $1.82 | 1 040 375 |
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 RAD stock historical prices to predict future price movements?
Trend Analysis: Examine the RAD 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 RAD 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.