SIX:UHR
The Swatch Group AG Stock Price (Quote)
192.50 Fr
+0.95 (+0.496%)
At Close: May 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 190.05 Fr | 201.90 Fr | Monday, 27th May 2024 UHR.SW stock ended at 192.50 Fr. This is 0.496% more than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 0.705% from a day low at 191.45 Fr to a day high of 192.80 Fr. |
90 days | 188.00 Fr | 214.90 Fr | |
52 weeks | 188.00 Fr | 291.50 Fr |
Date | Open | High | Low | Close | Volume |
Oct 17, 2023 | 224.10 Fr | 226.00 Fr | 222.40 Fr | 226.00 Fr | 114 865 |
Oct 16, 2023 | 227.20 Fr | 228.10 Fr | 223.10 Fr | 224.60 Fr | 129 659 |
Oct 13, 2023 | 231.40 Fr | 232.40 Fr | 225.30 Fr | 225.80 Fr | 140 800 |
Oct 12, 2023 | 235.40 Fr | 235.40 Fr | 231.70 Fr | 231.90 Fr | 115 385 |
Oct 11, 2023 | 229.00 Fr | 235.30 Fr | 225.70 Fr | 234.40 Fr | 132 626 |
Oct 10, 2023 | 231.90 Fr | 235.10 Fr | 231.20 Fr | 234.10 Fr | 98 334 |
Oct 09, 2023 | 230.20 Fr | 230.90 Fr | 227.90 Fr | 229.30 Fr | 90 845 |
Oct 06, 2023 | 232.10 Fr | 232.90 Fr | 228.70 Fr | 231.60 Fr | 94 232 |
Oct 05, 2023 | 235.00 Fr | 236.20 Fr | 231.80 Fr | 231.80 Fr | 105 669 |
Oct 04, 2023 | 230.80 Fr | 235.40 Fr | 229.70 Fr | 233.40 Fr | 134 099 |
Oct 03, 2023 | 231.90 Fr | 234.10 Fr | 231.50 Fr | 232.20 Fr | 119 262 |
Oct 02, 2023 | 235.80 Fr | 237.70 Fr | 232.10 Fr | 234.30 Fr | 87 674 |
Sep 29, 2023 | 243.80 Fr | 244.80 Fr | 235.40 Fr | 235.40 Fr | 197 360 |
Sep 28, 2023 | 234.90 Fr | 239.10 Fr | 234.90 Fr | 238.10 Fr | 100 860 |
Sep 27, 2023 | 233.00 Fr | 237.00 Fr | 232.40 Fr | 236.40 Fr | 150 979 |
Sep 26, 2023 | 231.70 Fr | 233.60 Fr | 230.10 Fr | 231.80 Fr | 108 675 |
Sep 25, 2023 | 241.50 Fr | 241.50 Fr | 232.90 Fr | 235.30 Fr | 155 642 |
Sep 22, 2023 | 240.00 Fr | 243.90 Fr | 239.20 Fr | 243.00 Fr | 105 164 |
Sep 21, 2023 | 237.80 Fr | 243.20 Fr | 237.40 Fr | 240.70 Fr | 113 538 |
Sep 20, 2023 | 237.90 Fr | 242.10 Fr | 236.50 Fr | 239.90 Fr | 123 999 |
Sep 19, 2023 | 242.00 Fr | 245.10 Fr | 238.80 Fr | 240.40 Fr | 93 113 |
Sep 18, 2023 | 247.60 Fr | 248.00 Fr | 242.50 Fr | 242.90 Fr | 91 848 |
Sep 15, 2023 | 246.50 Fr | 250.70 Fr | 246.00 Fr | 247.10 Fr | 223 102 |
Sep 14, 2023 | 243.80 Fr | 243.80 Fr | 238.90 Fr | 243.20 Fr | 165 402 |
Sep 13, 2023 | 245.20 Fr | 245.90 Fr | 242.40 Fr | 244.10 Fr | 105 443 |
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 UHR.SW stock historical prices to predict future price movements?
Trend Analysis: Examine the UHR.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 UHR.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.