MIL:IGD
Immobiliare Grande Distribuzione SIIQ Stock Price (Quote)
1.82€
-0.0100 (-0.545%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 1.44€ | 1.87€ | Friday, 17th May 2024 IGD.MI stock ended at 1.82€. This is 0.545% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.21% from a day low at 1.81€ to a day high of 1.85€. |
90 days | 1.39€ | 2.33€ | |
52 weeks | 1.39€ | 2.65€ |
Date | Open | High | Low | Close | Volume |
Sep 07, 2023 | 2.21€ | 2.25€ | 2.20€ | 2.25€ | 193 522 |
Sep 06, 2023 | 2.24€ | 2.24€ | 2.21€ | 2.22€ | 240 510 |
Sep 05, 2023 | 2.23€ | 2.25€ | 2.23€ | 2.23€ | 141 663 |
Sep 04, 2023 | 2.26€ | 2.28€ | 2.24€ | 2.24€ | 290 631 |
Sep 01, 2023 | 2.29€ | 2.30€ | 2.26€ | 2.26€ | 245 310 |
Aug 31, 2023 | 2.30€ | 2.32€ | 2.30€ | 2.30€ | 145 033 |
Aug 30, 2023 | 2.32€ | 2.33€ | 2.29€ | 2.31€ | 160 294 |
Aug 29, 2023 | 2.32€ | 2.36€ | 2.25€ | 2.31€ | 655 869 |
Aug 28, 2023 | 2.29€ | 2.32€ | 2.27€ | 2.32€ | 176 475 |
Aug 25, 2023 | 2.29€ | 2.29€ | 2.25€ | 2.28€ | 202 701 |
Aug 24, 2023 | 2.33€ | 2.33€ | 2.28€ | 2.29€ | 156 298 |
Aug 23, 2023 | 2.30€ | 2.32€ | 2.27€ | 2.32€ | 196 306 |
Aug 22, 2023 | 2.30€ | 2.31€ | 2.27€ | 2.28€ | 135 054 |
Aug 21, 2023 | 2.30€ | 2.31€ | 2.24€ | 2.28€ | 430 543 |
Aug 18, 2023 | 2.33€ | 2.33€ | 2.28€ | 2.32€ | 279 536 |
Aug 17, 2023 | 2.37€ | 2.37€ | 2.33€ | 2.33€ | 207 315 |
Aug 16, 2023 | 2.42€ | 2.42€ | 2.35€ | 2.36€ | 209 133 |
Aug 14, 2023 | 2.40€ | 2.40€ | 2.38€ | 2.38€ | 67 185 |
Aug 11, 2023 | 2.44€ | 2.44€ | 2.39€ | 2.40€ | 216 519 |
Aug 10, 2023 | 2.41€ | 2.44€ | 2.41€ | 2.42€ | 167 187 |
Aug 09, 2023 | 2.38€ | 2.42€ | 2.37€ | 2.39€ | 647 465 |
Aug 08, 2023 | 2.37€ | 2.41€ | 2.36€ | 2.40€ | 177 058 |
Aug 07, 2023 | 2.42€ | 2.43€ | 2.37€ | 2.39€ | 273 718 |
Aug 04, 2023 | 2.47€ | 2.47€ | 2.39€ | 2.42€ | 700 268 |
Aug 03, 2023 | 2.49€ | 2.53€ | 2.47€ | 2.47€ | 123 548 |
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 IGD.MI stock historical prices to predict future price movements?
Trend Analysis: Examine the IGD.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 IGD.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.