PAR:DG
VINCI SA Stock Price (Quote)
115.05€
-0.95 (-0.82%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 109.45€ | 116.95€ | Friday, 17th May 2024 DG.PA stock ended at 115.05€. This is 0.82% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.14% from a day low at 114.40€ to a day high of 115.70€. |
90 days | 109.45€ | 120.48€ | |
52 weeks | 98.49€ | 120.48€ |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | 115.45€ | 115.70€ | 114.40€ | 115.05€ | 847 900 |
May 16, 2024 | 116.60€ | 116.65€ | 115.55€ | 116.00€ | 553 537 |
May 15, 2024 | 116.20€ | 116.85€ | 115.40€ | 116.60€ | 715 373 |
May 14, 2024 | 115.35€ | 116.50€ | 115.35€ | 115.90€ | 550 721 |
May 13, 2024 | 115.70€ | 116.05€ | 114.95€ | 115.80€ | 560 968 |
May 10, 2024 | 115.30€ | 116.95€ | 115.30€ | 115.60€ | 1 212 248 |
May 09, 2024 | 114.20€ | 115.60€ | 114.20€ | 115.10€ | 626 260 |
May 08, 2024 | 112.85€ | 114.95€ | 112.70€ | 113.90€ | 878 801 |
May 07, 2024 | 111.80€ | 112.50€ | 111.30€ | 112.50€ | 768 857 |
May 06, 2024 | 111.30€ | 111.45€ | 110.45€ | 111.30€ | 374 348 |
May 03, 2024 | 110.85€ | 111.55€ | 110.30€ | 110.85€ | 603 231 |
May 02, 2024 | 110.10€ | 110.95€ | 109.80€ | 110.10€ | 992 452 |
Apr 30, 2024 | 110.50€ | 112.00€ | 110.05€ | 110.25€ | 1 267 289 |
Apr 29, 2024 | 111.80€ | 112.40€ | 110.55€ | 110.60€ | 742 873 |
Apr 26, 2024 | 112.20€ | 112.30€ | 110.55€ | 111.10€ | 995 286 |
Apr 25, 2024 | 112.00€ | 112.20€ | 109.45€ | 110.15€ | 1 395 040 |
Apr 24, 2024 | 111.95€ | 112.60€ | 111.35€ | 111.55€ | 1 100 441 |
Apr 23, 2024 | 110.70€ | 111.75€ | 110.05€ | 111.50€ | 893 994 |
Apr 22, 2024 | 114.00€ | 114.10€ | 112.85€ | 113.55€ | 822 298 |
Apr 19, 2024 | 112.70€ | 113.50€ | 111.95€ | 113.35€ | 853 189 |
Apr 18, 2024 | 112.80€ | 113.70€ | 112.55€ | 113.55€ | 743 185 |
Apr 17, 2024 | 112.20€ | 114.40€ | 112.05€ | 112.30€ | 987 447 |
Apr 16, 2024 | 111.90€ | 112.75€ | 111.25€ | 111.95€ | 852 157 |
Apr 15, 2024 | 113.65€ | 114.20€ | 112.80€ | 113.05€ | 591 651 |
Apr 12, 2024 | 113.25€ | 114.10€ | 112.75€ | 113.05€ | 720 160 |
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 DG.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the DG.PA 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 DG.PA 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.