NYSE:RSO
Delisted
Resource Capital Corp Fund Price (Quote)
$9.98
+0 (+0%)
At Close: Jun 06, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.70 | $10.15 | Wednesday, 6th Jun 2018 RSO stock ended at $9.98. During the day the stock fluctuated 0% from a day low at $9.98 to a day high of $9.98. |
90 days | $8.90 | $10.15 | |
52 weeks | $8.51 | $11.38 |
Historical Resource Capital Corp prices
Date | Open | High | Low | Close | Volume |
Mar 28, 2017 | $9.73 | $9.82 | $9.63 | $9.64 | 277 021 |
Mar 27, 2017 | $9.65 | $9.85 | $9.64 | $9.72 | 287 626 |
Mar 24, 2017 | $9.83 | $9.87 | $9.64 | $9.69 | 321 088 |
Mar 23, 2017 | $9.61 | $9.95 | $9.57 | $9.82 | 434 315 |
Mar 22, 2017 | $9.59 | $9.63 | $9.47 | $9.57 | 378 918 |
Mar 21, 2017 | $9.43 | $9.66 | $9.38 | $9.57 | 495 093 |
Mar 20, 2017 | $9.38 | $9.49 | $9.33 | $9.41 | 577 873 |
Mar 17, 2017 | $9.54 | $9.66 | $9.36 | $9.38 | 4 020 677 |
Mar 16, 2017 | $9.32 | $9.70 | $9.14 | $9.62 | 895 047 |
Mar 15, 2017 | $8.65 | $9.40 | $8.65 | $9.34 | 1 546 824 |
Mar 14, 2017 | $8.13 | $8.75 | $8.02 | $8.64 | 2 009 966 |
Mar 13, 2017 | $8.08 | $8.17 | $8.01 | $8.14 | 483 521 |
Mar 10, 2017 | $8.06 | $8.08 | $7.92 | $8.06 | 636 623 |
Mar 09, 2017 | $8.13 | $8.16 | $7.90 | $7.99 | 799 654 |
Mar 08, 2017 | $8.18 | $8.20 | $8.11 | $8.13 | 473 550 |
Mar 07, 2017 | $8.16 | $8.26 | $8.15 | $8.18 | 379 867 |
Mar 06, 2017 | $8.29 | $8.41 | $8.17 | $8.23 | 554 412 |
Mar 03, 2017 | $8.36 | $8.48 | $8.32 | $8.44 | 614 962 |
Mar 02, 2017 | $8.42 | $8.50 | $8.34 | $8.36 | 431 101 |
Mar 01, 2017 | $8.39 | $8.55 | $8.37 | $8.44 | 510 382 |
Feb 28, 2017 | $8.42 | $8.49 | $8.34 | $8.40 | 251 948 |
Feb 27, 2017 | $8.47 | $8.52 | $8.34 | $8.37 | 437 473 |
Feb 24, 2017 | $8.60 | $8.64 | $8.43 | $8.50 | 261 190 |
Feb 23, 2017 | $8.57 | $8.60 | $8.40 | $8.60 | 557 109 |
Feb 22, 2017 | $8.50 | $8.59 | $8.41 | $8.50 | 355 827 |
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 RSO stock historical prices to predict future price movements?
Trend Analysis: Examine the RSO 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 RSO 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.