SIX:MBTN
Meyer Burger Technology AG Stock Price (Quote)
0.0073 Fr
-0.0002 (-2.67%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.0068 Fr | 0.0124 Fr | Friday, 14th Jun 2024 MBTN.SW stock ended at 0.0073 Fr. This is 2.67% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 6.94% from a day low at 0.0072 Fr to a day high of 0.0077 Fr. |
90 days | 0.0068 Fr | 0.0486 Fr | |
52 weeks | 0.0068 Fr | 0.620 Fr |
Historical Meyer Burger Technology AG prices
Date | Open | High | Low | Close | Volume |
Feb 23, 2024 | 0.0792 Fr | 0.0910 Fr | 0.0710 Fr | 0.0817 Fr | 71 742 466 |
Feb 22, 2024 | 0.101 Fr | 0.104 Fr | 0.0870 Fr | 0.0904 Fr | 44 750 246 |
Feb 21, 2024 | 0.102 Fr | 0.107 Fr | 0.102 Fr | 0.102 Fr | 13 436 391 |
Feb 20, 2024 | 0.116 Fr | 0.116 Fr | 0.102 Fr | 0.103 Fr | 24 269 171 |
Feb 19, 2024 | 0.109 Fr | 0.117 Fr | 0.109 Fr | 0.116 Fr | 10 351 408 |
Feb 16, 2024 | 0.115 Fr | 0.120 Fr | 0.107 Fr | 0.108 Fr | 22 367 803 |
Feb 15, 2024 | 0.120 Fr | 0.125 Fr | 0.114 Fr | 0.114 Fr | 16 341 450 |
Feb 14, 2024 | 0.111 Fr | 0.119 Fr | 0.109 Fr | 0.119 Fr | 9 816 782 |
Feb 13, 2024 | 0.111 Fr | 0.115 Fr | 0.110 Fr | 0.114 Fr | 12 149 462 |
Feb 12, 2024 | 0.112 Fr | 0.117 Fr | 0.109 Fr | 0.111 Fr | 10 271 811 |
Feb 09, 2024 | 0.114 Fr | 0.115 Fr | 0.108 Fr | 0.112 Fr | 14 473 183 |
Feb 08, 2024 | 0.119 Fr | 0.119 Fr | 0.112 Fr | 0.112 Fr | 11 755 573 |
Feb 07, 2024 | 0.123 Fr | 0.124 Fr | 0.116 Fr | 0.119 Fr | 18 446 978 |
Feb 06, 2024 | 0.120 Fr | 0.126 Fr | 0.118 Fr | 0.119 Fr | 20 937 926 |
Feb 05, 2024 | 0.130 Fr | 0.130 Fr | 0.118 Fr | 0.124 Fr | 18 334 134 |
Feb 02, 2024 | 0.113 Fr | 0.127 Fr | 0.112 Fr | 0.125 Fr | 35 186 831 |
Feb 01, 2024 | 0.110 Fr | 0.113 Fr | 0.104 Fr | 0.112 Fr | 21 617 871 |
Jan 31, 2024 | 0.132 Fr | 0.132 Fr | 0.100 Fr | 0.112 Fr | 68 672 343 |
Jan 30, 2024 | 0.137 Fr | 0.141 Fr | 0.134 Fr | 0.136 Fr | 18 926 648 |
Jan 29, 2024 | 0.127 Fr | 0.135 Fr | 0.121 Fr | 0.133 Fr | 32 099 565 |
Jan 26, 2024 | 0.116 Fr | 0.126 Fr | 0.115 Fr | 0.120 Fr | 27 845 937 |
Jan 25, 2024 | 0.132 Fr | 0.142 Fr | 0.115 Fr | 0.115 Fr | 51 417 081 |
Jan 24, 2024 | 0.125 Fr | 0.144 Fr | 0.117 Fr | 0.130 Fr | 56 504 502 |
Jan 23, 2024 | 0.107 Fr | 0.122 Fr | 0.102 Fr | 0.119 Fr | 33 213 300 |
Jan 22, 2024 | 0.105 Fr | 0.118 Fr | 0.103 Fr | 0.107 Fr | 34 996 593 |
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 MBTN.SW stock historical prices to predict future price movements?
Trend Analysis: Examine the MBTN.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 MBTN.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.