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 |
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 |
Dec 21, 2023 | 2.24€ | 2.26€ | 2.23€ | 2.26€ | 805 532 |
Dec 20, 2023 | 2.25€ | 2.27€ | 2.23€ | 2.27€ | 1 070 287 |
Dec 19, 2023 | 2.25€ | 2.25€ | 2.19€ | 2.22€ | 1 246 296 |
Dec 18, 2023 | 2.22€ | 2.25€ | 2.20€ | 2.25€ | 953 782 |
Dec 15, 2023 | 2.16€ | 2.29€ | 2.15€ | 2.25€ | 3 721 172 |
Dec 14, 2023 | 2.07€ | 2.18€ | 2.05€ | 2.14€ | 3 340 731 |
Dec 13, 2023 | 2.06€ | 2.07€ | 2.01€ | 2.03€ | 713 572 |
Dec 12, 2023 | 2.05€ | 2.08€ | 2.05€ | 2.05€ | 1 120 762 |
Dec 11, 2023 | 2.07€ | 2.09€ | 2.04€ | 2.05€ | 981 595 |
Dec 08, 2023 | 2.07€ | 2.09€ | 2.04€ | 2.08€ | 1 166 407 |
Dec 07, 2023 | 2.10€ | 2.11€ | 2.05€ | 2.06€ | 1 860 243 |
Dec 06, 2023 | 2.11€ | 2.12€ | 2.03€ | 2.11€ | 4 619 480 |
Dec 05, 2023 | 2.08€ | 2.13€ | 2.05€ | 2.12€ | 2 309 920 |
Dec 04, 2023 | 2.04€ | 2.12€ | 2.04€ | 2.07€ | 2 960 692 |
Dec 01, 2023 | 1.98€ | 2.06€ | 1.98€ | 2.04€ | 3 269 034 |
Nov 30, 2023 | 1.97€ | 2.02€ | 1.97€ | 1.98€ | 2 250 501 |
Nov 29, 2023 | 1.86€ | 2.01€ | 1.86€ | 1.98€ | 3 474 495 |
Nov 28, 2023 | 1.82€ | 1.86€ | 1.81€ | 1.86€ | 2 126 831 |
Nov 27, 2023 | 1.80€ | 1.83€ | 1.80€ | 1.82€ | 1 317 544 |
Nov 24, 2023 | 1.79€ | 1.81€ | 1.78€ | 1.80€ | 453 129 |
Nov 23, 2023 | 1.79€ | 1.81€ | 1.79€ | 1.79€ | 368 313 |
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.