PAR:OR
L'Oréal S.A. Stock Price (Quote)
408.00€
+2.55 (+0.629%)
At Close: Jul 04, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 403.15€ | 461.85€ | Thursday, 4th Jul 2024 OR.PA stock ended at 408.00€. This is 0.629% more than the trading day before Wednesday, 3rd Jul 2024. During the day the stock fluctuated 0.490% from a day low at 407.90€ to a day high of 409.90€. |
90 days | 403.15€ | 461.85€ | |
52 weeks | 372.00€ | 461.85€ |
Historical L'Oréal S.A. prices
Date | Open | High | Low | Close | Volume |
Jul 04, 2024 | 409.70€ | 409.90€ | 407.90€ | 408.00€ | 292 007 |
Jul 03, 2024 | 409.20€ | 411.30€ | 405.45€ | 405.45€ | 393 750 |
Jul 02, 2024 | 409.00€ | 409.00€ | 403.15€ | 405.65€ | 407 257 |
Jul 01, 2024 | 414.40€ | 416.95€ | 411.65€ | 412.25€ | 318 675 |
Jun 28, 2024 | 418.00€ | 419.10€ | 407.05€ | 410.05€ | 647 562 |
Jun 27, 2024 | 437.40€ | 441.35€ | 415.15€ | 422.85€ | 376 713 |
Jun 26, 2024 | 437.65€ | 439.65€ | 434.55€ | 437.60€ | 257 453 |
Jun 25, 2024 | 441.60€ | 442.35€ | 435.00€ | 436.50€ | 278 202 |
Jun 24, 2024 | 440.45€ | 444.05€ | 440.00€ | 442.10€ | 247 870 |
Jun 21, 2024 | 440.45€ | 442.70€ | 438.45€ | 440.65€ | 610 562 |
Jun 20, 2024 | 437.80€ | 442.65€ | 436.05€ | 442.65€ | 227 587 |
Jun 19, 2024 | 440.30€ | 440.60€ | 431.20€ | 436.65€ | 258 454 |
Jun 18, 2024 | 446.75€ | 446.80€ | 438.05€ | 441.55€ | 320 264 |
Jun 17, 2024 | 444.15€ | 447.15€ | 441.45€ | 446.90€ | 245 796 |
Jun 14, 2024 | 449.35€ | 450.50€ | 438.20€ | 440.45€ | 413 761 |
Jun 13, 2024 | 455.05€ | 456.20€ | 447.75€ | 450.90€ | 235 509 |
Jun 12, 2024 | 451.40€ | 457.15€ | 450.80€ | 455.35€ | 241 125 |
Jun 11, 2024 | 454.40€ | 457.25€ | 449.15€ | 451.40€ | 264 053 |
Jun 10, 2024 | 448.35€ | 456.50€ | 447.50€ | 452.55€ | 277 413 |
Jun 07, 2024 | 456.60€ | 458.00€ | 452.85€ | 455.35€ | 226 559 |
Jun 06, 2024 | 457.15€ | 461.85€ | 456.15€ | 456.15€ | 225 230 |
Jun 05, 2024 | 454.90€ | 457.80€ | 451.50€ | 455.60€ | 173 307 |
Jun 04, 2024 | 449.30€ | 456.40€ | 448.55€ | 452.10€ | 235 651 |
Jun 03, 2024 | 452.65€ | 455.50€ | 446.40€ | 449.25€ | 184 148 |
May 31, 2024 | 444.95€ | 452.10€ | 443.45€ | 452.10€ | 1 047 145 |
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 OR.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the OR.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 OR.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.