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 |
Jan 30, 2024 | 2.20€ | 2.22€ | 2.16€ | 2.22€ | 1 318 085 |
Jan 29, 2024 | 2.18€ | 2.19€ | 2.14€ | 2.19€ | 824 094 |
Jan 26, 2024 | 2.15€ | 2.18€ | 2.12€ | 2.17€ | 803 438 |
Jan 25, 2024 | 2.14€ | 2.15€ | 2.13€ | 2.15€ | 1 073 397 |
Jan 24, 2024 | 2.11€ | 2.13€ | 2.10€ | 2.13€ | 970 563 |
Jan 23, 2024 | 2.10€ | 2.10€ | 2.07€ | 2.10€ | 748 313 |
Jan 22, 2024 | 2.05€ | 2.08€ | 2.05€ | 2.07€ | 393 036 |
Jan 19, 2024 | 2.06€ | 2.07€ | 2.02€ | 2.03€ | 674 798 |
Jan 18, 2024 | 2.07€ | 2.08€ | 2.04€ | 2.06€ | 532 347 |
Jan 17, 2024 | 2.10€ | 2.11€ | 2.03€ | 2.04€ | 1 658 753 |
Jan 16, 2024 | 2.14€ | 2.14€ | 2.11€ | 2.13€ | 741 451 |
Jan 15, 2024 | 2.17€ | 2.18€ | 2.14€ | 2.15€ | 776 949 |
Jan 12, 2024 | 2.13€ | 2.16€ | 2.13€ | 2.16€ | 848 731 |
Jan 11, 2024 | 2.18€ | 2.18€ | 2.12€ | 2.12€ | 440 270 |
Jan 10, 2024 | 2.16€ | 2.17€ | 2.14€ | 2.16€ | 612 422 |
Jan 09, 2024 | 2.16€ | 2.17€ | 2.12€ | 2.16€ | 702 881 |
Jan 08, 2024 | 2.12€ | 2.16€ | 2.11€ | 2.15€ | 663 457 |
Jan 05, 2024 | 2.14€ | 2.14€ | 2.10€ | 2.13€ | 796 113 |
Jan 04, 2024 | 2.19€ | 2.21€ | 2.14€ | 2.15€ | 1 050 388 |
Jan 03, 2024 | 2.25€ | 2.25€ | 2.18€ | 2.19€ | 909 339 |
Jan 02, 2024 | 2.29€ | 2.30€ | 2.25€ | 2.26€ | 584 350 |
Dec 29, 2023 | 2.26€ | 2.30€ | 2.26€ | 2.27€ | 754 346 |
Dec 28, 2023 | 2.28€ | 2.28€ | 2.25€ | 2.26€ | 572 356 |
Dec 27, 2023 | 2.27€ | 2.28€ | 2.25€ | 2.28€ | 768 966 |
Dec 22, 2023 | 2.26€ | 2.26€ | 2.23€ | 2.24€ | 657 895 |
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.