SIX:SLHN
Swiss Life Holding AG Stock Price (Quote)
621.40 Fr
-1.60 (-0.257%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 613.60 Fr | 663.80 Fr | Thursday, 30th May 2024 SLHN.SW stock ended at 621.40 Fr. This is 0.257% less than the trading day before Wednesday, 29th May 2024. During the day the stock fluctuated 0.87% from a day low at 618.60 Fr to a day high of 624.00 Fr. |
90 days | 599.20 Fr | 666.60 Fr | |
52 weeks | 509.60 Fr | 666.60 Fr |
Historical Swiss Life Holding AG prices
Date | Open | High | Low | Close | Volume |
Aug 19, 2019 | 465.00 Fr | 473.30 Fr | 464.60 Fr | 471.90 Fr | 225 849 |
Aug 16, 2019 | 458.50 Fr | 464.10 Fr | 458.20 Fr | 463.70 Fr | 213 753 |
Aug 15, 2019 | 457.20 Fr | 460.20 Fr | 451.80 Fr | 458.30 Fr | 189 461 |
Aug 14, 2019 | 465.10 Fr | 467.50 Fr | 455.80 Fr | 456.30 Fr | 234 301 |
Aug 13, 2019 | 466.00 Fr | 469.60 Fr | 459.50 Fr | 465.40 Fr | 214 937 |
Aug 12, 2019 | 467.00 Fr | 470.30 Fr | 465.70 Fr | 466.50 Fr | 135 310 |
Aug 09, 2019 | 468.00 Fr | 468.30 Fr | 465.10 Fr | 466.60 Fr | 116 531 |
Aug 08, 2019 | 465.00 Fr | 468.10 Fr | 461.90 Fr | 467.40 Fr | 161 105 |
Aug 07, 2019 | 462.10 Fr | 466.60 Fr | 458.00 Fr | 460.70 Fr | 265 127 |
Aug 06, 2019 | 460.00 Fr | 464.30 Fr | 451.00 Fr | 459.50 Fr | 195 095 |
Aug 05, 2019 | 468.90 Fr | 470.00 Fr | 461.20 Fr | 462.80 Fr | 216 767 |
Aug 02, 2019 | 474.80 Fr | 475.10 Fr | 465.80 Fr | 472.60 Fr | 254 195 |
Aug 01, 2019 | 481.50 Fr | 481.50 Fr | 481.50 Fr | 481.50 Fr | 0 |
Jul 31, 2019 | 483.60 Fr | 485.60 Fr | 481.50 Fr | 481.50 Fr | 173 822 |
Jul 30, 2019 | 488.50 Fr | 489.00 Fr | 481.20 Fr | 483.50 Fr | 128 461 |
Jul 29, 2019 | 485.70 Fr | 490.40 Fr | 485.00 Fr | 490.10 Fr | 83 814 |
Jul 26, 2019 | 485.00 Fr | 488.70 Fr | 484.50 Fr | 487.40 Fr | 114 098 |
Jul 25, 2019 | 490.80 Fr | 491.40 Fr | 483.80 Fr | 487.20 Fr | 145 241 |
Jul 24, 2019 | 491.00 Fr | 492.00 Fr | 486.50 Fr | 488.20 Fr | 112 902 |
Jul 23, 2019 | 494.20 Fr | 494.90 Fr | 489.00 Fr | 491.00 Fr | 103 519 |
Apr 11, 2019 | 453.90 Fr | 456.70 Fr | 452.50 Fr | 454.20 Fr | 121 042 |
Apr 10, 2019 | 453.30 Fr | 453.80 Fr | 451.80 Fr | 453.00 Fr | 122 325 |
Apr 09, 2019 | 453.70 Fr | 458.80 Fr | 453.50 Fr | 453.90 Fr | 160 979 |
Apr 08, 2019 | 452.80 Fr | 455.40 Fr | 451.70 Fr | 454.70 Fr | 140 410 |
Apr 05, 2019 | 450.60 Fr | 453.30 Fr | 450.20 Fr | 452.80 Fr | 135 248 |
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.