NASDAQ:RUTH
Delisted
Ruth Stock Price (Quote)
$21.49
+0 (+0%)
At Close: Sep 12, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $21.49 | $21.49 | Tuesday, 12th Sep 2023 RUTH stock ended at $21.49. During the day the stock fluctuated 0% from a day low at $21.49 to a day high of $21.49. |
90 days | $21.49 | $21.49 | |
52 weeks | $14.65 | $21.50 |
Date | Open | High | Low | Close | Volume |
Oct 18, 2022 | $18.77 | $19.07 | $18.56 | $18.98 | 338 382 |
Oct 17, 2022 | $18.34 | $18.53 | $18.19 | $18.37 | 304 230 |
Oct 14, 2022 | $18.43 | $18.54 | $18.07 | $18.27 | 308 540 |
Oct 13, 2022 | $17.75 | $18.30 | $17.43 | $18.23 | 255 095 |
Oct 12, 2022 | $17.26 | $18.00 | $16.87 | $17.87 | 289 553 |
Oct 11, 2022 | $17.00 | $17.42 | $16.74 | $17.25 | 397 173 |
Oct 10, 2022 | $17.13 | $17.51 | $16.99 | $17.08 | 324 062 |
Oct 07, 2022 | $17.38 | $17.50 | $16.98 | $17.09 | 285 443 |
Oct 06, 2022 | $17.58 | $18.17 | $17.47 | $17.51 | 327 187 |
Oct 05, 2022 | $17.36 | $17.81 | $17.36 | $17.72 | 218 489 |
Oct 04, 2022 | $16.95 | $17.76 | $16.95 | $17.70 | 432 142 |
Oct 03, 2022 | $17.02 | $17.03 | $16.23 | $16.60 | 264 774 |
Sep 30, 2022 | $17.01 | $17.30 | $16.84 | $16.86 | 373 182 |
Sep 29, 2022 | $16.97 | $17.23 | $16.69 | $17.16 | 289 837 |
Sep 28, 2022 | $16.70 | $17.33 | $16.53 | $17.25 | 313 961 |
Sep 27, 2022 | $16.43 | $16.98 | $16.39 | $16.67 | 413 395 |
Sep 26, 2022 | $16.36 | $16.86 | $16.20 | $16.25 | 531 482 |
Sep 23, 2022 | $16.60 | $16.60 | $15.87 | $16.36 | 654 641 |
Sep 22, 2022 | $17.02 | $17.04 | $16.39 | $16.45 | 433 790 |
Sep 21, 2022 | $17.02 | $17.49 | $16.99 | $17.09 | 394 792 |
Sep 20, 2022 | $17.20 | $17.22 | $16.63 | $16.98 | 425 935 |
Sep 19, 2022 | $17.53 | $17.88 | $16.99 | $17.25 | 502 617 |
Sep 16, 2022 | $17.60 | $17.94 | $17.29 | $17.92 | 664 610 |
Sep 15, 2022 | $17.94 | $18.29 | $17.78 | $17.87 | 365 922 |
Sep 14, 2022 | $17.96 | $18.14 | $17.73 | $18.05 | 369 938 |
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 RUTH stock historical prices to predict future price movements?
Trend Analysis: Examine the RUTH 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 RUTH 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.