MIL:DIA
DiaSorin S.p.A. Stock Price (Quote)
102.05€
+0.500 (+0.492%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 88.40€ | 103.55€ | Friday, 17th May 2024 DIA.MI stock ended at 102.05€. This is 0.492% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.63% from a day low at 101.00€ to a day high of 102.65€. |
90 days | 82.72€ | 103.55€ | |
52 weeks | 81.24€ | 104.80€ |
Date | Open | High | Low | Close | Volume |
Oct 12, 2023 | 86.00€ | 87.26€ | 85.88€ | 86.28€ | 131 062 |
Oct 11, 2023 | 87.60€ | 88.42€ | 85.04€ | 85.50€ | 193 809 |
Oct 10, 2023 | 86.66€ | 88.54€ | 86.46€ | 88.54€ | 104 870 |
Oct 09, 2023 | 88.00€ | 88.00€ | 85.76€ | 85.82€ | 68 922 |
Oct 06, 2023 | 86.94€ | 88.12€ | 85.92€ | 87.72€ | 158 900 |
Oct 05, 2023 | 87.00€ | 87.76€ | 86.76€ | 87.38€ | 69 160 |
Oct 04, 2023 | 85.24€ | 87.18€ | 85.12€ | 86.92€ | 75 470 |
Oct 03, 2023 | 86.00€ | 86.58€ | 85.02€ | 85.54€ | 77 518 |
Oct 02, 2023 | 86.42€ | 87.18€ | 85.38€ | 86.28€ | 90 397 |
Sep 29, 2023 | 85.84€ | 87.60€ | 85.00€ | 86.42€ | 237 720 |
Sep 28, 2023 | 84.58€ | 85.52€ | 84.18€ | 84.52€ | 83 906 |
Sep 27, 2023 | 85.22€ | 86.50€ | 84.80€ | 84.80€ | 101 788 |
Sep 26, 2023 | 85.94€ | 86.06€ | 84.74€ | 84.82€ | 94 981 |
Sep 25, 2023 | 86.38€ | 86.64€ | 85.06€ | 86.00€ | 113 103 |
Sep 22, 2023 | 87.00€ | 87.22€ | 86.10€ | 86.54€ | 108 172 |
Sep 21, 2023 | 89.68€ | 90.04€ | 87.12€ | 87.28€ | 168 209 |
Sep 20, 2023 | 86.60€ | 91.52€ | 86.40€ | 90.44€ | 648 774 |
Sep 19, 2023 | 90.22€ | 90.36€ | 85.72€ | 86.34€ | 527 507 |
Sep 18, 2023 | 92.00€ | 92.80€ | 90.66€ | 90.96€ | 106 367 |
Sep 15, 2023 | 92.88€ | 94.48€ | 92.00€ | 92.42€ | 437 491 |
Sep 14, 2023 | 91.68€ | 92.68€ | 90.96€ | 92.46€ | 120 539 |
Sep 13, 2023 | 91.46€ | 92.16€ | 90.28€ | 92.00€ | 69 186 |
Sep 12, 2023 | 92.86€ | 93.24€ | 91.32€ | 91.70€ | -3 773 |
Sep 11, 2023 | 92.04€ | 94.02€ | 91.84€ | 92.74€ | 135 338 |
Sep 08, 2023 | 93.78€ | 93.90€ | 91.68€ | 92.02€ | -37 673 |
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 DIA.MI stock historical prices to predict future price movements?
Trend Analysis: Examine the DIA.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 DIA.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.