PAR:RI
Pernod Ricard SA Stock Price (Quote)
141.00€
-1.20 (-0.84%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 139.90€ | 150.60€ | Friday, 24th May 2024 RI.PA stock ended at 141.00€. This is 0.84% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 0.82% from a day low at 140.90€ to a day high of 142.05€. |
90 days | 138.70€ | 160.95€ | |
52 weeks | 138.70€ | 211.50€ |
Date | Open | High | Low | Close | Volume |
Dec 15, 2021 | 208.30€ | 209.90€ | 207.70€ | 208.70€ | 338 351 |
Dec 14, 2021 | 210.90€ | 212.10€ | 207.90€ | 208.20€ | 265 709 |
Dec 13, 2021 | 210.70€ | 211.80€ | 209.90€ | 210.00€ | 252 921 |
Dec 10, 2021 | 209.30€ | 209.90€ | 208.90€ | 209.40€ | 20 365 |
Dec 09, 2021 | 208.80€ | 210.60€ | 208.30€ | 210.20€ | 252 568 |
Dec 08, 2021 | 212.10€ | 214.00€ | 207.40€ | 207.60€ | 347 962 |
Dec 07, 2021 | 210.00€ | 213.80€ | 209.70€ | 212.90€ | 533 411 |
Dec 06, 2021 | 206.30€ | 210.90€ | 205.50€ | 209.40€ | 435 285 |
Dec 03, 2021 | 204.60€ | 205.80€ | 203.40€ | 204.20€ | 199 813 |
Dec 02, 2021 | 201.20€ | 203.70€ | 200.40€ | 202.20€ | 126 309 |
Dec 01, 2021 | 203.80€ | 204.60€ | 201.80€ | 203.90€ | 424 521 |
Nov 30, 2021 | 205.00€ | 205.90€ | 201.50€ | 202.50€ | 849 418 |
Nov 29, 2021 | 208.00€ | 209.50€ | 205.70€ | 206.60€ | 460 907 |
Nov 26, 2021 | 207.80€ | 209.00€ | 205.10€ | 206.90€ | 680 038 |
Nov 25, 2021 | 211.00€ | 213.70€ | 210.60€ | 213.00€ | 351 776 |
Nov 24, 2021 | 207.50€ | 208.80€ | 205.30€ | 207.90€ | 336 725 |
Nov 23, 2021 | 211.10€ | 211.20€ | 209.40€ | 210.70€ | 89 010 |
Nov 22, 2021 | 211.00€ | 213.10€ | 209.90€ | 211.00€ | 354 225 |
Nov 19, 2021 | 213.10€ | 214.50€ | 211.60€ | 212.20€ | 629 111 |
Nov 18, 2021 | 212.00€ | 213.10€ | 211.50€ | 212.20€ | 288 424 |
Nov 17, 2021 | 211.10€ | 211.70€ | 209.80€ | 211.00€ | 365 176 |
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 RI.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the RI.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 RI.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.