Meyer Burger Technology AG Stock Price (Quote)
0.0100 Fr
-0.0007 (-6.54%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.0097 Fr | 0.0143 Fr | Friday, 17th May 2024 MBTN.SW stock ended at 0.0100 Fr. This is 6.54% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 10.00% from a day low at 0.0100 Fr to a day high of 0.0110 Fr. |
90 days | 0.0097 Fr | 0.117 Fr | |
52 weeks | 0.0097 Fr | 0.620 Fr |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | 0.0108 Fr | 0.0110 Fr | 0.0100 Fr | 0.0100 Fr | 133 053 643 |
May 16, 2024 | 0.0109 Fr | 0.0111 Fr | 0.0106 Fr | 0.0107 Fr | 71 418 110 |
May 15, 2024 | 0.0112 Fr | 0.0114 Fr | 0.0106 Fr | 0.0108 Fr | 92 898 483 |
May 14, 2024 | 0.0105 Fr | 0.0111 Fr | 0.0104 Fr | 0.0110 Fr | 79 739 879 |
May 13, 2024 | 0.0111 Fr | 0.0112 Fr | 0.0103 Fr | 0.0104 Fr | 99 926 357 |
May 10, 2024 | 0.0110 Fr | 0.0114 Fr | 0.0108 Fr | 0.0109 Fr | 65 059 875 |
May 08, 2024 | 0.0112 Fr | 0.0113 Fr | 0.0109 Fr | 0.0109 Fr | 77 268 936 |
May 07, 2024 | 0.0112 Fr | 0.0114 Fr | 0.0108 Fr | 0.0110 Fr | 64 525 045 |
May 06, 2024 | 0.0114 Fr | 0.0114 Fr | 0.0110 Fr | 0.0111 Fr | 68 755 382 |
May 03, 2024 | 0.0113 Fr | 0.0116 Fr | 0.0110 Fr | 0.0113 Fr | 68 766 793 |
May 02, 2024 | 0.0117 Fr | 0.0126 Fr | 0.0109 Fr | 0.0111 Fr | 209 928 150 |
Apr 30, 2024 | 0.0138 Fr | 0.0143 Fr | 0.0115 Fr | 0.0115 Fr | 325 249 541 |
Apr 29, 2024 | 0.0114 Fr | 0.0138 Fr | 0.0112 Fr | 0.0135 Fr | 255 398 845 |
Apr 26, 2024 | 0.0106 Fr | 0.0112 Fr | 0.0105 Fr | 0.0111 Fr | 141 736 202 |
Apr 25, 2024 | 0.0104 Fr | 0.0106 Fr | 0.0104 Fr | 0.0105 Fr | 87 513 259 |
Apr 24, 2024 | 0.0103 Fr | 0.0105 Fr | 0.0102 Fr | 0.0103 Fr | 89 923 187 |
Apr 23, 2024 | 0.0105 Fr | 0.0106 Fr | 0.0100 Fr | 0.0102 Fr | 239 495 363 |
Apr 22, 2024 | 0.0103 Fr | 0.0106 Fr | 0.0102 Fr | 0.0102 Fr | 155 391 169 |
Apr 19, 2024 | 0.0100 Fr | 0.0103 Fr | 0.0099 Fr | 0.0102 Fr | 509 669 086 |
Apr 18, 2024 | 0.0101 Fr | 0.0105 Fr | 0.0097 Fr | 0.0100 Fr | 316 978 673 |
Apr 17, 2024 | 0.0101 Fr | 0.0103 Fr | 0.0098 Fr | 0.0100 Fr | 259 003 493 |
Apr 16, 2024 | 0.0101 Fr | 0.0104 Fr | 0.0099 Fr | 0.0100 Fr | 254 156 528 |
Apr 15, 2024 | 0.0123 Fr | 0.0124 Fr | 0.0097 Fr | 0.0097 Fr | 506 609 713 |
Apr 12, 2024 | 0.0123 Fr | 0.0126 Fr | 0.0121 Fr | 0.0125 Fr | 115 727 969 |
Apr 11, 2024 | 0.0136 Fr | 0.0136 Fr | 0.0123 Fr | 0.0123 Fr | 169 493 139 |
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.