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 |
Nov 22, 2022 | $17.42 | $17.83 | $17.10 | $17.80 | 299 611 |
Nov 21, 2022 | $17.47 | $17.47 | $17.18 | $17.29 | 136 606 |
Nov 18, 2022 | $17.83 | $17.86 | $17.37 | $17.51 | 228 299 |
Nov 17, 2022 | $17.52 | $17.63 | $17.29 | $17.36 | 239 610 |
Nov 16, 2022 | $17.90 | $17.95 | $17.51 | $17.76 | 147 219 |
Nov 15, 2022 | $18.08 | $18.50 | $17.91 | $18.13 | 224 017 |
Nov 14, 2022 | $17.93 | $18.02 | $17.54 | $17.69 | 268 691 |
Nov 11, 2022 | $18.80 | $18.95 | $18.15 | $18.16 | 300 417 |
Nov 10, 2022 | $17.39 | $18.80 | $17.33 | $18.75 | 364 597 |
Nov 09, 2022 | $17.43 | $17.47 | $16.92 | $16.94 | 321 939 |
Nov 08, 2022 | $17.56 | $17.73 | $17.32 | $17.64 | 494 077 |
Nov 07, 2022 | $18.02 | $18.45 | $16.61 | $17.43 | 792 972 |
Nov 04, 2022 | $20.07 | $20.12 | $18.35 | $18.96 | 577 150 |
Nov 03, 2022 | $20.01 | $20.52 | $19.95 | $20.16 | 255 031 |
Nov 02, 2022 | $20.62 | $20.95 | $20.22 | $20.24 | 346 608 |
Nov 01, 2022 | $20.94 | $21.00 | $20.38 | $20.66 | 410 134 |
Oct 31, 2022 | $20.85 | $21.13 | $20.64 | $20.78 | 272 702 |
Oct 28, 2022 | $20.56 | $20.96 | $20.22 | $20.85 | 264 585 |
Oct 27, 2022 | $20.21 | $20.75 | $20.07 | $20.54 | 267 470 |
Oct 26, 2022 | $19.88 | $20.71 | $19.88 | $20.01 | 286 737 |
Oct 25, 2022 | $19.01 | $19.79 | $18.98 | $19.74 | 350 636 |
Oct 24, 2022 | $19.33 | $19.56 | $18.92 | $19.00 | 229 817 |
Oct 21, 2022 | $19.28 | $19.42 | $18.88 | $19.25 | 169 657 |
Oct 20, 2022 | $18.98 | $19.57 | $18.98 | $19.12 | 231 086 |
Oct 19, 2022 | $18.84 | $19.21 | $18.80 | $19.01 | 249 080 |
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.