PAR:KER
Kering SA Stock Price (Quote)
341.25€
+4.55 (+1.35%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 315.35€ | 353.90€ | Thursday, 16th May 2024 KER.PA stock ended at 341.25€. This is 1.35% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 1.73% from a day low at 335.45€ to a day high of 341.25€. |
90 days | 315.35€ | 438.60€ | |
52 weeks | 315.35€ | 547.20€ |
Date | Open | High | Low | Close | Volume |
Nov 15, 2023 | 410.85€ | 421.05€ | 409.50€ | 410.15€ | 225 744 |
Nov 14, 2023 | 393.20€ | 408.50€ | 393.00€ | 408.10€ | 297 494 |
Nov 13, 2023 | 396.00€ | 396.00€ | 392.25€ | 393.75€ | 154 714 |
Nov 10, 2023 | 401.10€ | 401.30€ | 386.10€ | 393.10€ | 274 674 |
Nov 09, 2023 | 401.80€ | 409.30€ | 401.25€ | 406.65€ | 163 001 |
Nov 08, 2023 | 397.90€ | 406.30€ | 397.45€ | 403.25€ | 162 428 |
Nov 07, 2023 | 397.15€ | 401.65€ | 396.00€ | 400.05€ | 144 937 |
Nov 06, 2023 | 408.30€ | 409.00€ | 396.00€ | 398.70€ | 184 108 |
Nov 03, 2023 | 403.45€ | 412.95€ | 400.10€ | 407.25€ | 260 513 |
Nov 02, 2023 | 389.00€ | 400.80€ | 387.40€ | 395.80€ | 288 817 |
Nov 01, 2023 | 382.10€ | 382.80€ | 376.70€ | 382.00€ | 204 145 |
Oct 31, 2023 | 379.55€ | 383.20€ | 379.30€ | 383.20€ | 207 052 |
Oct 30, 2023 | 385.55€ | 385.80€ | 380.55€ | 383.00€ | 155 380 |
Oct 27, 2023 | 384.40€ | 386.35€ | 379.65€ | 383.50€ | 205 080 |
Oct 26, 2023 | 388.10€ | 391.05€ | 382.00€ | 384.40€ | 240 789 |
Oct 25, 2023 | 391.00€ | 398.50€ | 385.10€ | 393.30€ | 513 539 |
Oct 24, 2023 | 403.90€ | 408.65€ | 402.45€ | 407.45€ | 152 940 |
Oct 23, 2023 | 402.80€ | 404.75€ | 396.80€ | 403.50€ | 144 628 |
Oct 20, 2023 | 405.00€ | 407.00€ | 402.15€ | 402.80€ | 190 632 |
Oct 19, 2023 | 405.40€ | 415.85€ | 404.40€ | 410.65€ | 137 874 |
Oct 18, 2023 | 410.25€ | 414.25€ | 407.45€ | 409.45€ | 148 752 |
Oct 17, 2023 | 407.95€ | 410.50€ | 401.30€ | 409.50€ | 157 202 |
Oct 16, 2023 | 406.75€ | 410.70€ | 402.15€ | 410.00€ | 161 185 |
Oct 13, 2023 | 415.50€ | 417.45€ | 404.80€ | 406.80€ | 240 863 |
Oct 12, 2023 | 431.15€ | 431.25€ | 416.20€ | 416.80€ | 179 301 |
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 KER.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the KER.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 KER.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.