NYSE:ORC
Orchid Island Capital Stock Price (Quote)
$8.70
+0.0400 (+0.462%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.09 | $8.77 | Friday, 17th May 2024 ORC stock ended at $8.70. This is 0.462% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.16% from a day low at $8.63 to a day high of $8.73. |
90 days | $7.94 | $9.08 | |
52 weeks | $5.90 | $11.29 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | $8.69 | $8.73 | $8.63 | $8.70 | 1 242 015 |
May 16, 2024 | $8.59 | $8.75 | $8.59 | $8.66 | 1 965 562 |
May 15, 2024 | $8.70 | $8.71 | $8.54 | $8.60 | 2 984 812 |
May 14, 2024 | $8.68 | $8.69 | $8.56 | $8.58 | 1 471 934 |
May 13, 2024 | $8.62 | $8.62 | $8.51 | $8.58 | 3 411 404 |
May 10, 2024 | $8.60 | $8.62 | $8.50 | $8.53 | 1 509 321 |
May 09, 2024 | $8.56 | $8.59 | $8.50 | $8.58 | 1 676 378 |
May 08, 2024 | $8.48 | $8.61 | $8.44 | $8.56 | 1 563 547 |
May 07, 2024 | $8.56 | $8.63 | $8.49 | $8.52 | 1 900 929 |
May 06, 2024 | $8.55 | $8.60 | $8.46 | $8.49 | 2 395 387 |
May 03, 2024 | $8.65 | $8.74 | $8.50 | $8.55 | 1 493 181 |
May 02, 2024 | $8.53 | $8.54 | $8.35 | $8.53 | 769 194 |
May 01, 2024 | $8.33 | $8.58 | $8.33 | $8.42 | 1 497 262 |
Apr 30, 2024 | $8.41 | $8.44 | $8.30 | $8.33 | 1 156 162 |
Apr 29, 2024 | $8.60 | $8.68 | $8.44 | $8.44 | 1 585 988 |
Apr 26, 2024 | $8.53 | $8.77 | $8.37 | $8.72 | 2 102 550 |
Apr 25, 2024 | $8.55 | $8.58 | $8.36 | $8.39 | 1 075 133 |
Apr 24, 2024 | $8.60 | $8.64 | $8.53 | $8.63 | 696 498 |
Apr 23, 2024 | $8.35 | $8.63 | $8.29 | $8.62 | 1 126 982 |
Apr 22, 2024 | $8.30 | $8.36 | $8.23 | $8.31 | 898 373 |
Apr 19, 2024 | $8.12 | $8.30 | $8.12 | $8.26 | 1 119 923 |
Apr 18, 2024 | $8.18 | $8.27 | $8.13 | $8.14 | 803 099 |
Apr 17, 2024 | $8.16 | $8.21 | $8.09 | $8.16 | 555 557 |
Apr 16, 2024 | $8.13 | $8.14 | $7.94 | $8.10 | 1 357 435 |
Apr 15, 2024 | $8.43 | $8.49 | $8.05 | $8.11 | 1 234 957 |
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 ORC stock historical prices to predict future price movements?
Trend Analysis: Examine the ORC 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 ORC 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.