MIL:OVS
OVS S.p.A. Stock Price (Quote)
2.69€
+0.0340 (+1.28%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 2.42€ | 2.73€ | Thursday, 23rd May 2024 OVS.MI stock ended at 2.69€. This is 1.28% more than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 2.20% from a day low at 2.64€ to a day high of 2.70€. |
90 days | 2.14€ | 2.73€ | |
52 weeks | 1.60€ | 2.73€ |
Date | Open | High | Low | Close | Volume |
Apr 17, 2024 | 2.16€ | 2.18€ | 2.14€ | 2.15€ | 1 008 470 |
Apr 16, 2024 | 2.19€ | 2.21€ | 2.17€ | 2.17€ | 1 068 397 |
Apr 15, 2024 | 2.20€ | 2.26€ | 2.20€ | 2.22€ | 1 178 483 |
Apr 12, 2024 | 2.30€ | 2.32€ | 2.19€ | 2.19€ | 2 633 013 |
Apr 11, 2024 | 2.25€ | 2.29€ | 2.24€ | 2.28€ | 1 027 830 |
Apr 10, 2024 | 2.29€ | 2.30€ | 2.25€ | 2.25€ | 1 119 362 |
Apr 09, 2024 | 2.32€ | 2.34€ | 2.27€ | 2.27€ | 1 373 138 |
Apr 08, 2024 | 2.35€ | 2.38€ | 2.32€ | 2.33€ | 913 889 |
Apr 05, 2024 | 2.43€ | 2.43€ | 2.35€ | 2.35€ | 1 885 729 |
Apr 04, 2024 | 2.48€ | 2.49€ | 2.43€ | 2.46€ | 1 337 031 |
Apr 03, 2024 | 2.45€ | 2.49€ | 2.41€ | 2.47€ | 2 512 831 |
Apr 02, 2024 | 2.42€ | 2.45€ | 2.37€ | 2.37€ | 1 075 527 |
Mar 28, 2024 | 2.34€ | 2.44€ | 2.34€ | 2.44€ | 2 701 823 |
Mar 27, 2024 | 2.32€ | 2.35€ | 2.31€ | 2.33€ | 1 212 861 |
Mar 26, 2024 | 2.27€ | 2.32€ | 2.25€ | 2.31€ | 1 029 779 |
Mar 25, 2024 | 2.26€ | 2.27€ | 2.22€ | 2.26€ | 598 175 |
Mar 22, 2024 | 2.25€ | 2.26€ | 2.24€ | 2.25€ | 319 959 |
Mar 21, 2024 | 2.29€ | 2.30€ | 2.24€ | 2.25€ | 641 430 |
Mar 20, 2024 | 2.27€ | 2.28€ | 2.25€ | 2.26€ | 600 270 |
Mar 19, 2024 | 2.25€ | 2.29€ | 2.23€ | 2.29€ | 762 778 |
Mar 18, 2024 | 2.26€ | 2.28€ | 2.24€ | 2.25€ | 821 497 |
Mar 15, 2024 | 2.27€ | 2.28€ | 2.24€ | 2.25€ | 824 828 |
Mar 14, 2024 | 2.24€ | 2.35€ | 2.24€ | 2.29€ | 2 659 610 |
Mar 13, 2024 | 2.22€ | 2.25€ | 2.21€ | 2.25€ | 623 924 |
Mar 12, 2024 | 2.20€ | 2.23€ | 2.19€ | 2.22€ | 475 416 |
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.