NYSE:RMT
Royce Micro-Cap Trust Inc Stock Price (Quote)
$9.52
+0.0800 (+0.85%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.59 | $9.57 | Tuesday, 14th May 2024 RMT stock ended at $9.52. This is 0.85% more than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 1.16% from a day low at $9.46 to a day high of $9.57. |
90 days | $8.59 | $9.57 | |
52 weeks | $7.67 | $9.57 |
Date | Open | High | Low | Close | Volume |
Jan 26, 2024 | $9.17 | $9.21 | $9.08 | $9.11 | 80 445 |
Jan 25, 2024 | $9.15 | $9.17 | $9.07 | $9.12 | 73 920 |
Jan 24, 2024 | $9.17 | $9.19 | $9.03 | $9.03 | 154 884 |
Jan 23, 2024 | $9.15 | $9.18 | $9.06 | $9.10 | 114 628 |
Jan 22, 2024 | $8.97 | $9.06 | $8.97 | $9.06 | 115 160 |
Jan 19, 2024 | $8.91 | $8.91 | $8.77 | $8.88 | 90 113 |
Jan 18, 2024 | $8.80 | $8.87 | $8.74 | $8.84 | 92 417 |
Jan 17, 2024 | $8.71 | $8.80 | $8.65 | $8.76 | 128 054 |
Jan 16, 2024 | $8.88 | $8.95 | $8.76 | $8.77 | 190 200 |
Jan 12, 2024 | $8.90 | $8.97 | $8.89 | $8.95 | 82 688 |
Jan 11, 2024 | $8.97 | $8.97 | $8.82 | $8.87 | 139 176 |
Jan 10, 2024 | $8.95 | $8.97 | $8.82 | $8.97 | 154 101 |
Jan 09, 2024 | $9.13 | $9.13 | $8.90 | $8.95 | 135 319 |
Jan 08, 2024 | $8.95 | $9.16 | $8.93 | $9.09 | 134 075 |
Jan 05, 2024 | $8.99 | $9.05 | $8.90 | $8.93 | 65 146 |
Jan 04, 2024 | $8.90 | $9.06 | $8.90 | $9.00 | 114 210 |
Jan 03, 2024 | $9.04 | $9.05 | $8.87 | $8.90 | 87 632 |
Jan 02, 2024 | $9.16 | $9.24 | $9.07 | $9.09 | 143 709 |
Dec 29, 2023 | $9.30 | $9.37 | $9.21 | $9.24 | 121 538 |
Dec 28, 2023 | $9.30 | $9.39 | $9.29 | $9.31 | 106 037 |
Dec 27, 2023 | $9.33 | $9.39 | $9.33 | $9.34 | 145 867 |
Dec 26, 2023 | $9.23 | $9.35 | $9.19 | $9.33 | 228 967 |
Dec 22, 2023 | $9.19 | $9.27 | $9.19 | $9.24 | 138 955 |
Dec 21, 2023 | $8.98 | $9.08 | $8.98 | $9.07 | 98 486 |
Dec 20, 2023 | $9.09 | $9.18 | $8.90 | $8.91 | 135 167 |
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 RMT stock historical prices to predict future price movements?
Trend Analysis: Examine the RMT 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 RMT 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.