MIL:OVS
OVS S.p.A. Stock Price (Quote)
2.73€
+0.0060 (+0.221%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 2.44€ | 2.75€ | Friday, 31st May 2024 OVS.MI stock ended at 2.73€. This is 0.221% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.40% from a day low at 2.67€ to a day high of 2.73€. |
90 days | 2.14€ | 2.75€ | |
52 weeks | 1.60€ | 2.75€ |
Historical OVS S.p.A. prices
Date | Open | High | Low | Close | Volume |
May 11, 2022 | 1.70€ | 1.74€ | 1.67€ | 1.73€ | 12 953 399 |
May 10, 2022 | 1.69€ | 1.71€ | 1.67€ | 1.67€ | 837 573 |
May 09, 2022 | 1.72€ | 1.72€ | 1.65€ | 1.65€ | 1 431 462 |
May 06, 2022 | 1.76€ | 1.76€ | 1.71€ | 1.72€ | 1 138 123 |
May 05, 2022 | 1.84€ | 1.86€ | 1.75€ | 1.75€ | 1 541 060 |
May 04, 2022 | 1.86€ | 1.86€ | 1.78€ | 1.79€ | 931 464 |
May 03, 2022 | 1.85€ | 1.85€ | 1.82€ | 1.82€ | 728 714 |
May 02, 2022 | 1.82€ | 1.85€ | 1.79€ | 1.82€ | 874 057 |
Apr 29, 2022 | 1.89€ | 1.90€ | 1.83€ | 1.84€ | 1 093 568 |
Apr 28, 2022 | 1.86€ | 1.89€ | 1.84€ | 1.85€ | 863 690 |
Apr 27, 2022 | 1.78€ | 1.87€ | 1.75€ | 1.82€ | 1 283 397 |
Apr 26, 2022 | 1.86€ | 1.87€ | 1.77€ | 1.77€ | 1 849 480 |
Apr 25, 2022 | 1.85€ | 1.87€ | 1.79€ | 1.82€ | 2 025 949 |
Apr 22, 2022 | 1.86€ | 1.93€ | 1.85€ | 1.86€ | 1 056 421 |
Apr 21, 2022 | 1.90€ | 1.93€ | 1.90€ | 1.92€ | 1 918 252 |
Apr 20, 2022 | 1.93€ | 1.95€ | 1.88€ | 1.90€ | 1 641 934 |
Apr 19, 2022 | 1.87€ | 1.95€ | 1.86€ | 1.93€ | 6 416 146 |
Apr 14, 2022 | 1.84€ | 1.93€ | 1.84€ | 1.88€ | 6 736 987 |
Apr 13, 2022 | 1.79€ | 1.83€ | 1.78€ | 1.83€ | 1 119 115 |
Apr 12, 2022 | 1.82€ | 1.84€ | 1.78€ | 1.81€ | 2 112 446 |
Apr 11, 2022 | 1.87€ | 1.87€ | 1.82€ | 1.85€ | 214 762 |
Apr 08, 2022 | 1.87€ | 1.91€ | 1.84€ | 1.86€ | 582 638 |
Apr 07, 2022 | 1.91€ | 1.91€ | 1.86€ | 1.86€ | 670 223 |
Apr 06, 2022 | 1.96€ | 1.98€ | 1.85€ | 1.89€ | 2 263 813 |
Apr 05, 2022 | 1.98€ | 2.03€ | 1.95€ | 1.95€ | 937 731 |
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.