MIL:OVS
OVS S.p.A. Stock Price (Quote)
2.69€
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 2.14€ | 2.72€ | Friday, 17th May 2024 OVS.MI stock ended at 2.69€. During the day the stock fluctuated 1.49% from a day low at 2.68€ to a day high of 2.72€. |
90 days | 2.14€ | 2.72€ | |
52 weeks | 1.60€ | 2.72€ |
Date | Open | High | Low | Close | Volume |
Sep 07, 2023 | 2.21€ | 2.23€ | 2.20€ | 2.20€ | 402 981 |
Sep 06, 2023 | 2.27€ | 2.27€ | 2.22€ | 2.22€ | 476 745 |
Sep 05, 2023 | 2.28€ | 2.29€ | 2.27€ | 2.28€ | 294 014 |
Sep 04, 2023 | 2.32€ | 2.33€ | 2.29€ | 2.29€ | 299 740 |
Sep 01, 2023 | 2.32€ | 2.33€ | 2.31€ | 2.32€ | 479 168 |
Aug 31, 2023 | 2.32€ | 2.33€ | 2.30€ | 2.32€ | 787 696 |
Aug 30, 2023 | 2.27€ | 2.33€ | 2.27€ | 2.32€ | 688 104 |
Aug 29, 2023 | 2.21€ | 2.26€ | 2.21€ | 2.26€ | 966 891 |
Aug 28, 2023 | 2.21€ | 2.25€ | 2.21€ | 2.25€ | 244 748 |
Aug 25, 2023 | 2.19€ | 2.21€ | 2.19€ | 2.19€ | 456 358 |
Aug 24, 2023 | 2.23€ | 2.23€ | 2.19€ | 2.20€ | 583 048 |
Aug 23, 2023 | 2.25€ | 2.26€ | 2.21€ | 2.22€ | 689 901 |
Aug 22, 2023 | 2.20€ | 2.25€ | 2.20€ | 2.23€ | 239 872 |
Aug 21, 2023 | 2.19€ | 2.21€ | 2.19€ | 2.20€ | 396 582 |
Aug 18, 2023 | 2.21€ | 2.22€ | 2.17€ | 2.20€ | 577 219 |
Aug 17, 2023 | 2.23€ | 2.25€ | 2.21€ | 2.22€ | 444 791 |
Aug 16, 2023 | 2.26€ | 2.29€ | 2.23€ | 2.24€ | 607 863 |
Aug 14, 2023 | 2.28€ | 2.30€ | 2.26€ | 2.28€ | 410 196 |
Aug 11, 2023 | 2.28€ | 2.29€ | 2.26€ | 2.26€ | 579 117 |
Aug 10, 2023 | 2.25€ | 2.29€ | 2.25€ | 2.27€ | 1 074 336 |
Aug 09, 2023 | 2.29€ | 2.29€ | 2.25€ | 2.26€ | 931 694 |
Aug 08, 2023 | 2.24€ | 2.27€ | 2.22€ | 2.25€ | 806 480 |
Aug 07, 2023 | 2.32€ | 2.33€ | 2.26€ | 2.30€ | 731 567 |
Aug 04, 2023 | 2.39€ | 2.39€ | 2.28€ | 2.32€ | 4 778 902 |
Aug 03, 2023 | 2.39€ | 2.39€ | 2.36€ | 2.37€ | 1 368 115 |
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 OVS.MI stock historical prices to predict future price movements?
Trend Analysis: Examine the OVS.MI 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 OVS.MI 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.