NYSE:OIS
Oil States International Inc Stock Price (Quote)
$4.75
+0.0900 (+1.93%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.95 | $5.55 | Tuesday, 21st May 2024 OIS stock ended at $4.75. This is 1.93% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 3.03% from a day low at $4.62 to a day high of $4.76. |
90 days | $3.95 | $6.53 | |
52 weeks | $3.95 | $9.02 |
Date | Open | High | Low | Close | Volume |
Oct 16, 2023 | $7.79 | $7.82 | $7.67 | $7.69 | 317 915 |
Oct 13, 2023 | $7.85 | $7.89 | $7.66 | $7.71 | 406 419 |
Oct 12, 2023 | $7.85 | $7.89 | $7.60 | $7.66 | 355 901 |
Oct 11, 2023 | $7.74 | $7.85 | $7.71 | $7.82 | 238 103 |
Oct 10, 2023 | $7.88 | $7.95 | $7.81 | $7.86 | 536 864 |
Oct 09, 2023 | $7.70 | $7.95 | $7.64 | $7.87 | 593 438 |
Oct 06, 2023 | $7.50 | $7.56 | $7.38 | $7.44 | 664 202 |
Oct 05, 2023 | $7.53 | $7.75 | $7.44 | $7.47 | 582 451 |
Oct 04, 2023 | $7.89 | $7.94 | $7.55 | $7.60 | 642 459 |
Oct 03, 2023 | $8.09 | $8.13 | $8.00 | $8.05 | 470 876 |
Oct 02, 2023 | $8.37 | $8.38 | $8.01 | $8.13 | 732 095 |
Sep 29, 2023 | $8.66 | $8.72 | $8.30 | $8.37 | 409 791 |
Sep 28, 2023 | $8.71 | $8.87 | $8.61 | $8.65 | 886 536 |
Sep 27, 2023 | $8.41 | $8.85 | $8.37 | $8.76 | 478 508 |
Sep 26, 2023 | $8.30 | $8.42 | $8.25 | $8.29 | 319 946 |
Sep 25, 2023 | $8.16 | $8.42 | $8.13 | $8.41 | 439 376 |
Sep 22, 2023 | $8.36 | $8.44 | $8.22 | $8.24 | 349 629 |
Sep 21, 2023 | $8.34 | $8.44 | $8.18 | $8.27 | 743 839 |
Sep 20, 2023 | $8.29 | $8.49 | $8.32 | $8.33 | 291 060 |
Sep 19, 2023 | $8.70 | $8.74 | $8.28 | $8.33 | 566 090 |
Sep 18, 2023 | $8.70 | $8.73 | $8.60 | $8.60 | 437 843 |
Sep 15, 2023 | $8.62 | $8.78 | $8.50 | $8.61 | 646 611 |
Sep 14, 2023 | $8.55 | $8.80 | $8.51 | $8.70 | 595 405 |
Sep 13, 2023 | $8.76 | $8.77 | $8.37 | $8.38 | 483 476 |
Sep 12, 2023 | $8.63 | $8.85 | $8.56 | $8.74 | 400 970 |
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.