SIX:SLHN
Swiss Life Holding AG Stock Price (Quote)
626.60 Fr
-36.00 (-5.43%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 599.20 Fr | 663.80 Fr | Friday, 17th May 2024 SLHN.SW stock ended at 626.60 Fr. This is 5.43% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.21% from a day low at 623.60 Fr to a day high of 637.40 Fr. |
90 days | 599.20 Fr | 666.60 Fr | |
52 weeks | 509.60 Fr | 666.60 Fr |
Date | Open | High | Low | Close | Volume |
Aug 17, 2018 | 351.90 Fr | 352.30 Fr | 345.90 Fr | 348.00 Fr | 204 467 |
Aug 16, 2018 | 351.70 Fr | 352.50 Fr | 348.70 Fr | 350.60 Fr | 267 327 |
Aug 15, 2018 | 349.30 Fr | 353.20 Fr | 348.00 Fr | 348.50 Fr | 200 315 |
Aug 14, 2018 | 352.80 Fr | 355.00 Fr | 347.60 Fr | 349.40 Fr | 159 136 |
Aug 13, 2018 | 347.80 Fr | 352.20 Fr | 346.90 Fr | 350.00 Fr | 165 132 |
Aug 10, 2018 | 351.50 Fr | 352.50 Fr | 348.10 Fr | 348.90 Fr | 151 006 |
Aug 09, 2018 | 352.30 Fr | 354.50 Fr | 351.10 Fr | 352.90 Fr | 107 877 |
Aug 08, 2018 | 352.00 Fr | 353.60 Fr | 349.70 Fr | 353.30 Fr | 123 437 |
Aug 07, 2018 | 351.20 Fr | 353.40 Fr | 350.60 Fr | 352.70 Fr | 107 747 |
Aug 06, 2018 | 351.80 Fr | 352.40 Fr | 349.70 Fr | 350.70 Fr | 88 868 |
Aug 03, 2018 | 349.90 Fr | 352.20 Fr | 348.70 Fr | 350.80 Fr | 97 463 |
Aug 02, 2018 | 356.80 Fr | 356.80 Fr | 348.30 Fr | 349.40 Fr | 186 699 |
Jul 31, 2018 | 354.10 Fr | 357.80 Fr | 353.50 Fr | 355.70 Fr | 132 545 |
Jul 30, 2018 | 350.00 Fr | 356.20 Fr | 350.00 Fr | 354.90 Fr | 116 078 |
Jul 27, 2018 | 348.20 Fr | 353.30 Fr | 348.20 Fr | 351.10 Fr | 138 885 |
Jul 26, 2018 | 344.50 Fr | 348.10 Fr | 343.60 Fr | 347.90 Fr | 160 442 |
Jul 25, 2018 | 349.40 Fr | 351.20 Fr | 347.20 Fr | 347.60 Fr | 138 801 |
Jul 24, 2018 | 347.70 Fr | 351.60 Fr | 347.00 Fr | 350.40 Fr | 125 632 |
Jul 23, 2018 | 344.90 Fr | 347.60 Fr | 343.30 Fr | 346.00 Fr | 116 872 |
Jul 20, 2018 | 348.70 Fr | 348.70 Fr | 343.30 Fr | 346.20 Fr | 193 331 |
Jul 19, 2018 | 347.90 Fr | 350.40 Fr | 346.80 Fr | 347.30 Fr | 109 870 |
Jul 18, 2018 | 349.00 Fr | 349.10 Fr | 345.00 Fr | 348.60 Fr | 145 602 |
Jul 17, 2018 | 345.70 Fr | 349.00 Fr | 345.00 Fr | 348.40 Fr | 108 590 |
Jul 16, 2018 | 345.80 Fr | 347.40 Fr | 343.40 Fr | 346.20 Fr | 100 527 |
Jul 13, 2018 | 345.00 Fr | 347.00 Fr | 344.90 Fr | 345.70 Fr | 113 361 |
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 SLHN.SW stock historical prices to predict future price movements?
Trend Analysis: Examine the SLHN.SW 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 SLHN.SW 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.