MIL:BMED
Banca Mediolanum S.p.A. Stock Price (Quote)
10.84€
+0.0400 (+0.370%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 9.73€ | 10.98€ | Friday, 17th May 2024 BMED.MI stock ended at 10.84€. This is 0.370% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.21% from a day low at 10.72€ to a day high of 10.85€. |
90 days | 9.62€ | 10.98€ | |
52 weeks | 7.50€ | 10.98€ |
Date | Open | High | Low | Close | Volume |
Jun 28, 2023 | 8.17€ | 8.20€ | 8.11€ | 8.14€ | 725 406 |
Jun 27, 2023 | 8.08€ | 8.16€ | 8.02€ | 8.15€ | 707 494 |
Jun 26, 2023 | 8.16€ | 8.16€ | 7.97€ | 8.03€ | 1 881 057 |
Jun 23, 2023 | 8.21€ | 8.21€ | 8.10€ | 8.17€ | 742 260 |
Jun 22, 2023 | 8.30€ | 8.30€ | 8.13€ | 8.23€ | 1 004 385 |
Jun 21, 2023 | 8.37€ | 8.39€ | 8.30€ | 8.35€ | 1 278 167 |
Jun 20, 2023 | 8.34€ | 8.39€ | 8.31€ | 8.33€ | 808 208 |
Jun 19, 2023 | 8.36€ | 8.39€ | 8.30€ | 8.37€ | 448 647 |
Jun 16, 2023 | 8.36€ | 8.42€ | 8.30€ | 8.36€ | 1 089 400 |
Jun 15, 2023 | 8.33€ | 8.36€ | 8.28€ | 8.34€ | 1 069 056 |
Jun 14, 2023 | 8.29€ | 8.41€ | 8.29€ | 8.31€ | 1 805 759 |
Jun 13, 2023 | 8.26€ | 8.31€ | 8.20€ | 8.28€ | 1 083 426 |
Jun 12, 2023 | 8.19€ | 8.26€ | 8.13€ | 8.22€ | 798 262 |
Jun 09, 2023 | 8.16€ | 8.22€ | 8.11€ | 8.19€ | 532 769 |
Jun 08, 2023 | 8.18€ | 8.24€ | 8.14€ | 8.17€ | 1 475 672 |
Jun 07, 2023 | 8.19€ | 8.22€ | 8.11€ | 8.19€ | 1 171 505 |
Jun 06, 2023 | 8.11€ | 8.18€ | 8.10€ | 8.16€ | 1 032 697 |
Jun 05, 2023 | 8.23€ | 8.24€ | 8.07€ | 8.11€ | 671 539 |
Jun 02, 2023 | 8.06€ | 8.24€ | 8.03€ | 8.21€ | 1 306 807 |
Jun 01, 2023 | 7.93€ | 8.09€ | 7.93€ | 8.01€ | 633 907 |
May 31, 2023 | 7.92€ | 7.95€ | 7.83€ | 7.88€ | 1 049 844 |
May 30, 2023 | 8.05€ | 8.06€ | 7.92€ | 7.94€ | 572 513 |
May 29, 2023 | 8.09€ | 8.11€ | 7.97€ | 8.05€ | 527 825 |
May 26, 2023 | 7.91€ | 8.03€ | 7.84€ | 8.03€ | 2 050 399 |
May 25, 2023 | 7.93€ | 7.95€ | 7.79€ | 7.85€ | 871 091 |
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 BMED.MI stock historical prices to predict future price movements?
Trend Analysis: Examine the BMED.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 BMED.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.