MIL:UNI
Unipol Gruppo S.p.A. Stock Price (Quote)
9.46€
-0.145 (-1.51%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 8.27€ | 9.69€ | Friday, 31st May 2024 UNI.MI stock ended at 9.46€. This is 1.51% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.70% from a day low at 9.43€ to a day high of 9.69€. |
90 days | 7.45€ | 9.69€ | |
52 weeks | 4.71€ | 9.69€ |
Historical Unipol Gruppo S.p.A. prices
Date | Open | High | Low | Close | Volume |
Feb 13, 2024 | 5.77€ | 5.79€ | 5.70€ | 5.72€ | 1 419 766 |
Feb 12, 2024 | 5.83€ | 5.83€ | 5.70€ | 5.79€ | 1 897 884 |
Feb 09, 2024 | 5.78€ | 5.80€ | 5.74€ | 5.76€ | 724 639 |
Feb 08, 2024 | 5.79€ | 5.82€ | 5.71€ | 5.77€ | 1 474 807 |
Feb 07, 2024 | 5.79€ | 5.84€ | 5.74€ | 5.77€ | 1 762 738 |
Feb 06, 2024 | 5.74€ | 5.80€ | 5.74€ | 5.80€ | 1 405 156 |
Feb 05, 2024 | 5.77€ | 5.77€ | 5.71€ | 5.74€ | 916 822 |
Feb 02, 2024 | 5.70€ | 5.75€ | 5.70€ | 5.73€ | 1 395 606 |
Feb 01, 2024 | 5.75€ | 5.79€ | 5.68€ | 5.69€ | 1 354 984 |
Jan 31, 2024 | 5.71€ | 5.79€ | 5.71€ | 5.76€ | 2 172 874 |
Jan 30, 2024 | 5.61€ | 5.73€ | 5.57€ | 5.70€ | 2 304 614 |
Jan 29, 2024 | 5.70€ | 5.71€ | 5.60€ | 5.60€ | 1 187 595 |
Jan 26, 2024 | 5.63€ | 5.70€ | 5.60€ | 5.67€ | 1 817 469 |
Jan 25, 2024 | 5.61€ | 5.66€ | 5.60€ | 5.63€ | 1 461 113 |
Jan 24, 2024 | 5.57€ | 5.62€ | 5.53€ | 5.61€ | 1 706 295 |
Jan 23, 2024 | 5.58€ | 5.60€ | 5.51€ | 5.55€ | 1 601 158 |
Jan 22, 2024 | 5.46€ | 5.57€ | 5.46€ | 5.57€ | 2 104 705 |
Jan 19, 2024 | 5.44€ | 5.48€ | 5.42€ | 5.45€ | 1 769 808 |
Jan 18, 2024 | 5.40€ | 5.44€ | 5.37€ | 5.42€ | 1 222 673 |
Jan 17, 2024 | 5.37€ | 5.41€ | 5.31€ | 5.41€ | 1 421 183 |
Jan 16, 2024 | 5.36€ | 5.39€ | 5.32€ | 5.37€ | 754 684 |
Jan 15, 2024 | 5.37€ | 5.39€ | 5.33€ | 5.36€ | 677 721 |
Jan 12, 2024 | 5.33€ | 5.38€ | 5.30€ | 5.34€ | 971 053 |
Jan 11, 2024 | 5.41€ | 5.41€ | 5.31€ | 5.33€ | 947 065 |
Jan 10, 2024 | 5.41€ | 5.42€ | 5.35€ | 5.37€ | 1 050 801 |
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.