NYSE:RT
Delisted
Ruby Tuesday Inc Fund Price (Quote)
$2.40
+0 (+0%)
At Close: Feb 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.40 | $2.40 | Friday, 16th Feb 2018 RT stock ended at $2.40. During the day the stock fluctuated 0% from a day low at $2.40 to a day high of $2.40. |
90 days | $2.38 | $2.46 | |
52 weeks | $1.73 | $2.88 |
Historical Ruby Tuesday Inc prices
Date | Open | High | Low | Close | Volume |
Dec 13, 2016 | $3.55 | $3.58 | $3.39 | $3.42 | 470 557 |
Dec 12, 2016 | $3.53 | $3.57 | $3.46 | $3.54 | 270 412 |
Dec 09, 2016 | $3.55 | $3.62 | $3.50 | $3.56 | 288 099 |
Dec 08, 2016 | $3.51 | $3.68 | $3.32 | $3.57 | 751 492 |
Dec 07, 2016 | $3.13 | $3.51 | $3.12 | $3.49 | 789 309 |
Dec 06, 2016 | $3.09 | $3.16 | $3.03 | $3.14 | 297 987 |
Dec 05, 2016 | $3.05 | $3.17 | $3.04 | $3.08 | 437 433 |
Dec 02, 2016 | $3.05 | $3.07 | $2.97 | $3.05 | 256 795 |
Dec 01, 2016 | $3.03 | $3.10 | $3.01 | $3.06 | 328 028 |
Nov 30, 2016 | $3.07 | $3.07 | $2.99 | $3.02 | 261 132 |
Nov 29, 2016 | $3.03 | $3.11 | $3.01 | $3.04 | 383 951 |
Nov 28, 2016 | $3.17 | $3.22 | $3.01 | $3.02 | 474 190 |
Nov 25, 2016 | $3.15 | $3.19 | $3.13 | $3.17 | 148 407 |
Nov 23, 2016 | $3.07 | $3.19 | $3.07 | $3.15 | 351 908 |
Nov 22, 2016 | $3.12 | $3.15 | $3.09 | $3.11 | 424 460 |
Nov 21, 2016 | $3.16 | $3.19 | $3.09 | $3.12 | 596 024 |
Nov 18, 2016 | $3.15 | $3.18 | $3.10 | $3.14 | 282 263 |
Nov 17, 2016 | $3.05 | $3.20 | $3.01 | $3.17 | 499 159 |
Nov 16, 2016 | $3.12 | $3.14 | $3.05 | $3.05 | 558 113 |
Nov 15, 2016 | $3.13 | $3.16 | $3.04 | $3.12 | 354 850 |
Nov 14, 2016 | $3.09 | $3.25 | $3.08 | $3.13 | 638 935 |
Nov 11, 2016 | $2.94 | $3.09 | $2.93 | $3.05 | 975 228 |
Nov 10, 2016 | $2.91 | $2.96 | $2.87 | $2.94 | 508 565 |
Nov 09, 2016 | $2.67 | $2.89 | $2.60 | $2.85 | 381 650 |
Nov 08, 2016 | $2.70 | $2.78 | $2.64 | $2.70 | 332 021 |
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 RT stock historical prices to predict future price movements?
Trend Analysis: Examine the RT 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 RT 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.