NYSE:OIS
Oil States International Inc Stock Price (Quote)
$4.72
+0.120 (+2.61%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.95 | $5.65 | Friday, 17th May 2024 OIS stock ended at $4.72. This is 2.61% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.37% from a day low at $4.58 to a day high of $4.73. |
90 days | $3.95 | $6.53 | |
52 weeks | $3.95 | $9.02 |
Date | Open | High | Low | Close | Volume |
Sep 07, 2023 | $8.72 | $8.92 | $8.47 | $8.49 | 792 776 |
Sep 06, 2023 | $8.18 | $8.42 | $8.11 | $8.41 | 387 433 |
Sep 05, 2023 | $8.32 | $8.40 | $8.17 | $8.18 | 470 367 |
Sep 01, 2023 | $7.96 | $8.37 | $7.96 | $8.31 | 483 933 |
Aug 31, 2023 | $7.85 | $7.93 | $7.81 | $7.84 | 577 737 |
Aug 30, 2023 | $7.87 | $7.98 | $7.80 | $7.88 | 450 986 |
Aug 29, 2023 | $7.74 | $7.89 | $7.64 | $7.81 | 298 626 |
Aug 28, 2023 | $7.63 | $7.82 | $7.64 | $7.72 | 632 792 |
Aug 25, 2023 | $7.57 | $7.63 | $7.47 | $7.59 | 448 625 |
Aug 24, 2023 | $7.51 | $7.67 | $7.51 | $7.51 | 457 480 |
Aug 23, 2023 | $7.47 | $7.67 | $7.38 | $7.61 | 367 422 |
Aug 22, 2023 | $7.71 | $7.85 | $7.54 | $7.60 | 284 154 |
Aug 21, 2023 | $7.77 | $7.83 | $7.61 | $7.71 | 539 894 |
Aug 18, 2023 | $7.65 | $7.84 | $7.60 | $7.70 | 1 126 595 |
Aug 17, 2023 | $7.89 | $7.96 | $7.76 | $7.77 | 306 089 |
Aug 16, 2023 | $7.66 | $7.82 | $7.66 | $7.73 | 397 491 |
Aug 15, 2023 | $7.72 | $7.76 | $7.63 | $7.67 | 338 877 |
Aug 14, 2023 | $7.83 | $7.84 | $7.65 | $7.80 | 509 437 |
Aug 11, 2023 | $7.87 | $7.93 | $7.80 | $7.85 | 259 033 |
Aug 10, 2023 | $7.92 | $8.11 | $7.83 | $7.86 | 427 413 |
Aug 09, 2023 | $7.80 | $8.05 | $7.80 | $7.90 | 351 768 |
Aug 08, 2023 | $7.48 | $7.72 | $7.37 | $7.71 | 326 176 |
Aug 07, 2023 | $7.80 | $7.83 | $7.61 | $7.66 | 685 087 |
Aug 04, 2023 | $7.84 | $7.91 | $7.74 | $7.82 | 523 575 |
Aug 03, 2023 | $7.71 | $7.95 | $7.70 | $7.82 | 462 722 |
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 OIS stock historical prices to predict future price movements?
Trend Analysis: Examine the OIS 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 OIS 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.