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 |
Oct 18, 2023 | 1.75€ | 1.78€ | 1.74€ | 1.76€ | 1 064 633 |
Oct 17, 2023 | 1.76€ | 1.76€ | 1.74€ | 1.75€ | 804 549 |
Oct 16, 2023 | 1.82€ | 1.82€ | 1.73€ | 1.75€ | 849 263 |
Oct 13, 2023 | 1.78€ | 1.79€ | 1.73€ | 1.74€ | 1 795 727 |
Oct 12, 2023 | 1.83€ | 1.83€ | 1.79€ | 1.79€ | 944 021 |
Oct 11, 2023 | 1.84€ | 1.86€ | 1.81€ | 1.83€ | 1 197 474 |
Oct 10, 2023 | 1.80€ | 1.86€ | 1.80€ | 1.85€ | 984 110 |
Oct 09, 2023 | 1.85€ | 1.85€ | 1.79€ | 1.80€ | 1 306 776 |
Oct 06, 2023 | 1.85€ | 1.86€ | 1.82€ | 1.85€ | 1 381 901 |
Oct 05, 2023 | 1.85€ | 1.86€ | 1.83€ | 1.83€ | 913 916 |
Oct 04, 2023 | 1.88€ | 1.88€ | 1.83€ | 1.84€ | 1 412 743 |
Oct 03, 2023 | 1.91€ | 1.94€ | 1.88€ | 1.89€ | 1 049 561 |
Oct 02, 2023 | 1.98€ | 1.99€ | 1.93€ | 1.94€ | 952 392 |
Sep 29, 2023 | 1.96€ | 1.99€ | 1.94€ | 1.97€ | 913 257 |
Sep 28, 2023 | 1.91€ | 1.95€ | 1.90€ | 1.94€ | 593 995 |
Sep 27, 2023 | 1.91€ | 1.92€ | 1.88€ | 1.92€ | 1 115 161 |
Sep 26, 2023 | 1.90€ | 1.95€ | 1.89€ | 1.91€ | 1 289 017 |
Sep 25, 2023 | 1.99€ | 1.99€ | 1.90€ | 1.90€ | 2 118 233 |
Sep 22, 2023 | 2.07€ | 2.07€ | 1.98€ | 2.00€ | 2 318 938 |
Sep 21, 2023 | 2.18€ | 2.22€ | 2.05€ | 2.07€ | 3 308 354 |
Sep 20, 2023 | 2.11€ | 2.12€ | 2.07€ | 2.10€ | 3 071 074 |
Sep 19, 2023 | 2.11€ | 2.14€ | 2.08€ | 2.11€ | 2 194 038 |
Sep 18, 2023 | 2.16€ | 2.23€ | 2.14€ | 2.14€ | 1 458 841 |
Sep 15, 2023 | 2.17€ | 2.19€ | 2.15€ | 2.15€ | 667 864 |
Sep 14, 2023 | 2.13€ | 2.17€ | 2.11€ | 2.16€ | 1 150 390 |
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.