89.12 Fr
-1.72 (-1.89%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 87.16 Fr | 92.82 Fr | Tuesday, 18th Nov 2025 SGSN.SW stock ended at 89.12 Fr. This is 1.89% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 1.46% from a day low at 89.06 Fr to a day high of 90.36 Fr. |
| 90 days | 79.90 Fr | 92.82 Fr | |
| 52 weeks | 71.12 Fr | 99.06 Fr |
Historical SGS SA prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | 90.08 Fr | 90.36 Fr | 89.06 Fr | 89.12 Fr | 302 876 |
| Nov 17, 2025 | 91.66 Fr | 91.86 Fr | 90.84 Fr | 90.84 Fr | 201 801 |
| Nov 14, 2025 | 91.44 Fr | 91.88 Fr | 90.98 Fr | 91.62 Fr | 286 828 |
| Nov 13, 2025 | 92.76 Fr | 92.82 Fr | 92.10 Fr | 92.10 Fr | 205 203 |
| Nov 12, 2025 | 91.72 Fr | 92.72 Fr | 91.42 Fr | 92.64 Fr | 326 138 |
| Nov 11, 2025 | 91.14 Fr | 91.72 Fr | 90.28 Fr | 91.70 Fr | 286 316 |
| Nov 10, 2025 | 90.78 Fr | 91.00 Fr | 90.24 Fr | 90.60 Fr | 300 667 |
| Nov 07, 2025 | 91.46 Fr | 91.46 Fr | 89.64 Fr | 90.50 Fr | 320 410 |
| Nov 06, 2025 | 91.80 Fr | 91.96 Fr | 90.42 Fr | 90.80 Fr | 275 327 |
| Nov 05, 2025 | 91.64 Fr | 92.56 Fr | 91.48 Fr | 92.10 Fr | 449 045 |
| Nov 04, 2025 | 90.84 Fr | 91.80 Fr | 90.30 Fr | 91.80 Fr | 285 014 |
| Nov 03, 2025 | 90.60 Fr | 91.48 Fr | 90.40 Fr | 91.12 Fr | 267 964 |
| Oct 31, 2025 | 91.06 Fr | 91.22 Fr | 90.42 Fr | 90.62 Fr | 349 560 |
| Oct 30, 2025 | 90.70 Fr | 91.08 Fr | 90.46 Fr | 90.92 Fr | 402 418 |
| Oct 29, 2025 | 90.06 Fr | 90.70 Fr | 89.84 Fr | 90.70 Fr | 266 161 |
| Oct 28, 2025 | 91.14 Fr | 91.16 Fr | 90.28 Fr | 90.28 Fr | 251 621 |
| Oct 27, 2025 | 91.74 Fr | 91.96 Fr | 90.66 Fr | 91.12 Fr | 360 456 |
| Oct 24, 2025 | 91.00 Fr | 91.38 Fr | 90.38 Fr | 91.30 Fr | 302 066 |
| Oct 23, 2025 | 90.50 Fr | 91.64 Fr | 90.16 Fr | 90.50 Fr | 513 888 |
| Oct 22, 2025 | 87.98 Fr | 89.34 Fr | 87.72 Fr | 88.60 Fr | 413 437 |
| Oct 21, 2025 | 88.00 Fr | 88.30 Fr | 87.58 Fr | 87.96 Fr | 329 613 |
| Oct 20, 2025 | 87.46 Fr | 87.82 Fr | 87.16 Fr | 87.82 Fr | 357 612 |
| Oct 17, 2025 | 86.80 Fr | 87.52 Fr | 86.60 Fr | 87.52 Fr | 344 124 |
| Oct 16, 2025 | 87.20 Fr | 87.62 Fr | 86.86 Fr | 87.24 Fr | 238 293 |
| Oct 15, 2025 | 86.34 Fr | 87.14 Fr | 86.00 Fr | 87.00 Fr | 446 671 |
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 SGSN.SW stock historical prices to predict future price movements?
Trend Analysis: Examine the SGSN.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 SGSN.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.
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