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 |
Jun 28, 2023 | 91.60€ | 93.50€ | 91.50€ | 93.30€ | 297 991 |
Jun 27, 2023 | 95.46€ | 95.68€ | 90.22€ | 91.24€ | 378 790 |
Jun 26, 2023 | 96.20€ | 97.08€ | 95.26€ | 95.26€ | 141 271 |
Jun 23, 2023 | 96.96€ | 98.40€ | 95.32€ | 96.10€ | 198 604 |
Jun 22, 2023 | 97.00€ | 97.38€ | 96.42€ | 97.14€ | 100 319 |
Jun 21, 2023 | 97.84€ | 99.10€ | 97.02€ | 97.08€ | 150 082 |
Jun 20, 2023 | 98.96€ | 99.30€ | 98.12€ | 98.16€ | 138 546 |
Jun 19, 2023 | 100.00€ | 100.40€ | 98.76€ | 99.10€ | 186 328 |
Jun 16, 2023 | 98.54€ | 101.75€ | 98.34€ | 100.70€ | 349 037 |
Jun 15, 2023 | 97.86€ | 98.50€ | 97.42€ | 97.50€ | 163 731 |
Jun 14, 2023 | 97.60€ | 99.78€ | 97.20€ | 97.90€ | 212 729 |
Jun 13, 2023 | 97.86€ | 98.10€ | 97.00€ | 97.44€ | 142 079 |
Jun 12, 2023 | 96.64€ | 97.90€ | 96.64€ | 97.52€ | 88 761 |
Jun 09, 2023 | 96.96€ | 97.82€ | 96.50€ | 96.72€ | 172 970 |
Jun 08, 2023 | 97.50€ | 97.74€ | 96.14€ | 97.00€ | 248 814 |
Jun 07, 2023 | 97.78€ | 98.32€ | 96.92€ | 97.94€ | 313 243 |
Jun 06, 2023 | 96.10€ | 98.28€ | 96.10€ | 98.22€ | 378 007 |
Jun 05, 2023 | 98.60€ | 98.78€ | 97.06€ | 97.14€ | 223 862 |
Jun 02, 2023 | 98.90€ | 99.24€ | 97.90€ | 98.84€ | 86 784 |
Jun 01, 2023 | 96.76€ | 99.10€ | 96.76€ | 98.22€ | 161 813 |
May 31, 2023 | 96.80€ | 98.26€ | 96.04€ | 96.20€ | 288 886 |
May 30, 2023 | 98.72€ | 99.00€ | 97.10€ | 97.72€ | 106 610 |
May 29, 2023 | 99.40€ | 99.74€ | 98.66€ | 98.80€ | 85 850 |
May 26, 2023 | 99.62€ | 99.62€ | 97.94€ | 99.14€ | 554 508 |
May 25, 2023 | 99.60€ | 99.60€ | 98.86€ | 99.08€ | 231 309 |
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.