MIL:CIR
Compagnie Industriali Riunite S.p.A. Stock Price (Quote)
0.561€
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.552€ | 0.584€ | Thursday, 16th May 2024 CIR.MI stock ended at 0.561€. During the day the stock fluctuated 2.52% from a day low at 0.555€ to a day high of 0.569€. |
90 days | 0.440€ | 0.584€ | |
52 weeks | 0.362€ | 0.584€ |
Date | Open | High | Low | Close | Volume |
May 16, 2024 | 0.562€ | 0.569€ | 0.555€ | 0.561€ | 3 691 759 |
May 15, 2024 | 0.562€ | 0.567€ | 0.556€ | 0.561€ | 1 736 343 |
May 14, 2024 | 0.557€ | 0.567€ | 0.557€ | 0.566€ | 1 692 085 |
May 13, 2024 | 0.560€ | 0.564€ | 0.553€ | 0.561€ | 2 320 092 |
May 10, 2024 | 0.570€ | 0.573€ | 0.560€ | 0.560€ | 484 151 |
May 09, 2024 | 0.564€ | 0.575€ | 0.564€ | 0.573€ | 1 006 182 |
May 08, 2024 | 0.573€ | 0.573€ | 0.559€ | 0.570€ | 1 927 037 |
May 07, 2024 | 0.564€ | 0.574€ | 0.561€ | 0.569€ | 2 031 663 |
May 06, 2024 | 0.566€ | 0.567€ | 0.560€ | 0.562€ | 516 815 |
May 03, 2024 | 0.569€ | 0.569€ | 0.562€ | 0.563€ | 394 092 |
May 02, 2024 | 0.560€ | 0.566€ | 0.554€ | 0.566€ | 712 451 |
Apr 30, 2024 | 0.570€ | 0.570€ | 0.559€ | 0.560€ | 811 494 |
Apr 29, 2024 | 0.569€ | 0.571€ | 0.566€ | 0.570€ | 940 585 |
Apr 26, 2024 | 0.572€ | 0.572€ | 0.560€ | 0.565€ | 417 630 |
Apr 25, 2024 | 0.570€ | 0.570€ | 0.552€ | 0.559€ | 1 496 757 |
Apr 24, 2024 | 0.569€ | 0.572€ | 0.566€ | 0.566€ | 418 334 |
Apr 23, 2024 | 0.570€ | 0.572€ | 0.566€ | 0.567€ | 514 956 |
Apr 22, 2024 | 0.580€ | 0.580€ | 0.560€ | 0.563€ | 1 055 061 |
Apr 19, 2024 | 0.580€ | 0.580€ | 0.573€ | 0.576€ | 754 101 |
Apr 18, 2024 | 0.565€ | 0.584€ | 0.565€ | 0.582€ | 2 569 908 |
Apr 17, 2024 | 0.562€ | 0.572€ | 0.562€ | 0.565€ | 2 327 099 |
Apr 16, 2024 | 0.568€ | 0.572€ | 0.557€ | 0.572€ | 1 760 726 |
Apr 15, 2024 | 0.559€ | 0.576€ | 0.559€ | 0.573€ | 1 467 125 |
Apr 12, 2024 | 0.558€ | 0.565€ | 0.553€ | 0.559€ | 1 833 353 |
Apr 11, 2024 | 0.552€ | 0.557€ | 0.549€ | 0.556€ | 1 127 548 |
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 CIR.MI stock historical prices to predict future price movements?
Trend Analysis: Examine the CIR.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 CIR.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.