MIL:UNI
Unipol Gruppo S.p.A. Stock Price (Quote)
9.26€
+0.240 (+2.66%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 7.91€ | 9.28€ | Friday, 17th May 2024 UNI.MI stock ended at 9.26€. This is 2.66% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.17% from a day low at 8.99€ to a day high of 9.28€. |
90 days | 6.69€ | 9.28€ | |
52 weeks | 4.65€ | 9.28€ |
Date | Open | High | Low | Close | Volume |
Jun 28, 2023 | 4.87€ | 4.87€ | 4.83€ | 4.84€ | 533 978 |
Jun 27, 2023 | 4.81€ | 4.86€ | 4.78€ | 4.85€ | 1 501 173 |
Jun 26, 2023 | 4.82€ | 4.83€ | 4.71€ | 4.77€ | 1 120 870 |
Jun 23, 2023 | 4.83€ | 4.84€ | 4.79€ | 4.83€ | 1 022 363 |
Jun 22, 2023 | 4.88€ | 4.89€ | 4.81€ | 4.87€ | 1 707 956 |
Jun 21, 2023 | 4.86€ | 4.91€ | 4.86€ | 4.90€ | 1 033 158 |
Jun 20, 2023 | 4.89€ | 4.90€ | 4.86€ | 4.87€ | 1 567 274 |
Jun 19, 2023 | 4.90€ | 4.92€ | 4.86€ | 4.88€ | 1 016 151 |
Jun 16, 2023 | 4.94€ | 4.97€ | 4.90€ | 4.92€ | 1 742 052 |
Jun 15, 2023 | 4.90€ | 4.94€ | 4.89€ | 4.93€ | 2 182 440 |
Jun 14, 2023 | 4.87€ | 4.93€ | 4.86€ | 4.90€ | 1 230 832 |
Jun 13, 2023 | 4.83€ | 4.90€ | 4.80€ | 4.88€ | 1 459 906 |
Jun 12, 2023 | 4.80€ | 4.83€ | 4.77€ | 4.80€ | 2 214 934 |
Jun 09, 2023 | 4.82€ | 4.85€ | 4.78€ | 4.79€ | 1 567 714 |
Jun 08, 2023 | 4.82€ | 4.87€ | 4.81€ | 4.83€ | 1 245 392 |
Jun 07, 2023 | 4.81€ | 4.82€ | 4.76€ | 4.82€ | 2 426 860 |
Jun 06, 2023 | 4.75€ | 4.82€ | 4.75€ | 4.82€ | 961 763 |
Jun 05, 2023 | 4.82€ | 4.84€ | 4.76€ | 4.78€ | 2 208 779 |
Jun 02, 2023 | 4.75€ | 4.83€ | 4.73€ | 4.82€ | 1 940 447 |
Jun 01, 2023 | 4.68€ | 4.75€ | 4.68€ | 4.71€ | 1 173 124 |
May 31, 2023 | 4.70€ | 4.76€ | 4.65€ | 4.65€ | 1 674 867 |
May 30, 2023 | 4.72€ | 4.78€ | 4.71€ | 4.72€ | 1 626 352 |
May 29, 2023 | 4.77€ | 4.79€ | 4.72€ | 4.75€ | 528 836 |
May 26, 2023 | 4.78€ | 4.78€ | 4.66€ | 4.75€ | 6 492 246 |
May 25, 2023 | 4.75€ | 4.78€ | 4.69€ | 4.77€ | 3 921 123 |
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 UNI.MI stock historical prices to predict future price movements?
Trend Analysis: Examine the UNI.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 UNI.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.