NYSE:OUST
Ouster, Inc. Stock Price (Quote)
$12.97
+1.31 (+11.23%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.85 | $14.17 | Friday, 17th May 2024 OUST stock ended at $12.97. This is 11.23% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.95% from a day low at $12.87 to a day high of $14.15. |
90 days | $4.65 | $14.17 | |
52 weeks | $3.67 | $14.17 |
Date | Open | High | Low | Close | Volume |
Aug 02, 2023 | $5.94 | $6.02 | $5.65 | $5.73 | 622 011 |
Aug 01, 2023 | $6.10 | $6.22 | $5.95 | $6.13 | 603 985 |
Jul 31, 2023 | $5.91 | $6.30 | $5.91 | $6.19 | 598 794 |
Jul 28, 2023 | $5.49 | $5.99 | $5.44 | $5.88 | 738 431 |
Jul 27, 2023 | $5.73 | $5.87 | $5.32 | $5.38 | 590 456 |
Jul 26, 2023 | $5.60 | $5.82 | $5.43 | $5.63 | 475 883 |
Jul 25, 2023 | $5.79 | $6.01 | $5.63 | $5.63 | 443 872 |
Jul 24, 2023 | $5.75 | $5.89 | $5.64 | $5.79 | 359 298 |
Jul 21, 2023 | $6.10 | $6.35 | $5.72 | $5.80 | 763 668 |
Jul 20, 2023 | $6.51 | $6.51 | $5.93 | $6.04 | 779 543 |
Jul 19, 2023 | $6.33 | $6.97 | $6.32 | $6.55 | 827 323 |
Jul 18, 2023 | $6.38 | $6.57 | $6.16 | $6.32 | 476 140 |
Jul 17, 2023 | $6.02 | $6.45 | $5.81 | $6.37 | 631 576 |
Jul 14, 2023 | $6.52 | $6.91 | $6.00 | $6.08 | 1 181 850 |
Jul 13, 2023 | $6.02 | $6.38 | $5.97 | $6.23 | 878 488 |
Jul 12, 2023 | $5.98 | $6.03 | $5.65 | $5.94 | 826 332 |
Jul 11, 2023 | $5.59 | $6.11 | $5.59 | $5.87 | 1 041 306 |
Jul 10, 2023 | $5.08 | $5.58 | $5.03 | $5.55 | 644 946 |
Jul 07, 2023 | $4.91 | $5.23 | $4.91 | $5.15 | 456 431 |
Jul 06, 2023 | $5.30 | $5.31 | $4.85 | $4.94 | 882 677 |
Jul 05, 2023 | $5.31 | $5.60 | $5.22 | $5.41 | 543 082 |
Jul 03, 2023 | $4.94 | $5.43 | $4.96 | $5.38 | 516 658 |
Jun 30, 2023 | $5.22 | $5.24 | $4.94 | $4.94 | 599 241 |
Jun 29, 2023 | $5.18 | $5.29 | $5.06 | $5.13 | 467 912 |
Jun 28, 2023 | $5.06 | $5.26 | $4.87 | $5.17 | 492 247 |
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 OUST stock historical prices to predict future price movements?
Trend Analysis: Examine the OUST 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 OUST 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.