XLON:COD
Compagnie De Saint-gobain S.a. Stock Price (Quote)
72.63€
-0.475 (-0.650%)
At Close: Jun 26, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 69.50€ | 82.80€ | Wednesday, 26th Jun 2024 COD.L stock ended at 72.63€. This is 0.650% less than the trading day before Tuesday, 25th Jun 2024. During the day the stock fluctuated 1.85% from a day low at 72.44€ to a day high of 73.78€. |
90 days | 69.36€ | 83.16€ | |
52 weeks | 47.00€ | 83.16€ |
Historical Compagnie De Saint-gobain S.a. prices
Date | Open | High | Low | Close | Volume |
Jun 26, 2024 | 73.78€ | 73.78€ | 72.44€ | 72.63€ | 1 178 646 |
Jun 25, 2024 | 73.16€ | 73.88€ | 69.50€ | 73.10€ | 49 191 |
Jun 21, 2024 | 75.54€ | 76.32€ | 73.12€ | 73.25€ | 384 079 |
Jun 20, 2024 | 74.14€ | 75.88€ | 74.14€ | 75.88€ | 5 049 856 |
Jun 19, 2024 | 75.00€ | 75.32€ | 74.40€ | 75.00€ | 115 321 |
Jun 18, 2024 | 74.12€ | 74.72€ | 73.38€ | 74.20€ | 5 065 647 |
Jun 17, 2024 | 72.94€ | 73.52€ | 72.54€ | 72.93€ | 923 179 |
Jun 14, 2024 | 75.08€ | 75.20€ | 71.64€ | 71.68€ | 212 189 |
Jun 13, 2024 | 77.82€ | 77.82€ | 75.24€ | 75.35€ | 1 134 321 |
Jun 12, 2024 | 75.98€ | 78.30€ | 75.86€ | 78.08€ | 141 960 |
Jun 11, 2024 | 77.66€ | 77.66€ | 76.00€ | 76.05€ | 179 507 |
Jun 10, 2024 | 75.18€ | 78.06€ | 74.60€ | 76.10€ | 87 976 |
Jun 06, 2024 | 81.10€ | 81.64€ | 80.56€ | 81.20€ | 233 387 |
Jun 05, 2024 | 81.10€ | 81.10€ | 79.74€ | 80.68€ | 167 634 |
Jun 04, 2024 | 80.90€ | 80.92€ | 79.10€ | 79.63€ | 3 373 143 |
Jun 03, 2024 | 81.80€ | 82.30€ | 80.60€ | 80.88€ | 83 593 |
May 31, 2024 | 81.04€ | 81.58€ | 80.10€ | 81.30€ | 2 296 149 |
May 30, 2024 | 80.44€ | 81.26€ | 79.94€ | 80.82€ | 2 067 416 |
May 29, 2024 | 82.16€ | 82.16€ | 80.62€ | 81.38€ | 1 387 547 |
May 28, 2024 | 82.70€ | 82.80€ | 81.30€ | 82.20€ | 993 103 |
May 27, 2024 | 81.80€ | 82.08€ | 81.72€ | 81.96€ | 534 877 |
May 24, 2024 | 80.38€ | 81.88€ | 80.38€ | 81.00€ | 51 286 |
May 23, 2024 | 80.14€ | 81.52€ | 80.04€ | 81.30€ | 127 578 |
May 22, 2024 | 80.74€ | 81.32€ | 79.98€ | 80.75€ | 37 292 |
May 21, 2024 | 81.74€ | 82.18€ | 80.42€ | 80.53€ | 133 036 |
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 COD.L stock historical prices to predict future price movements?
Trend Analysis: Examine the COD.L 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 COD.L 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.