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 |
Jan 19, 2024 | 0.0998 Fr | 0.108 Fr | 0.0972 Fr | 0.102 Fr | 52 950 063 |
Jan 18, 2024 | 0.0900 Fr | 0.101 Fr | 0.0891 Fr | 0.0986 Fr | 71 376 534 |
Jan 17, 2024 | 0.0892 Fr | 0.102 Fr | 0.0700 Fr | 0.0900 Fr | 210 450 800 |
Jan 16, 2024 | 0.142 Fr | 0.143 Fr | 0.127 Fr | 0.131 Fr | 63 286 569 |
Jan 15, 2024 | 0.153 Fr | 0.160 Fr | 0.147 Fr | 0.149 Fr | 25 509 092 |
Jan 12, 2024 | 0.167 Fr | 0.167 Fr | 0.152 Fr | 0.153 Fr | 29 434 187 |
Jan 11, 2024 | 0.168 Fr | 0.168 Fr | 0.160 Fr | 0.164 Fr | 14 868 024 |
Jan 10, 2024 | 0.168 Fr | 0.180 Fr | 0.165 Fr | 0.168 Fr | 17 206 788 |
Jan 09, 2024 | 0.170 Fr | 0.173 Fr | 0.156 Fr | 0.169 Fr | 32 452 275 |
Jan 08, 2024 | 0.172 Fr | 0.178 Fr | 0.165 Fr | 0.178 Fr | 13 227 456 |
Jan 05, 2024 | 0.171 Fr | 0.176 Fr | 0.165 Fr | 0.173 Fr | 18 346 421 |
Jan 04, 2024 | 0.173 Fr | 0.180 Fr | 0.172 Fr | 0.174 Fr | 17 260 828 |
Jan 03, 2024 | 0.196 Fr | 0.196 Fr | 0.172 Fr | 0.176 Fr | 34 406 300 |
Dec 29, 2023 | 0.193 Fr | 0.201 Fr | 0.190 Fr | 0.196 Fr | 15 279 045 |
Dec 28, 2023 | 0.195 Fr | 0.202 Fr | 0.189 Fr | 0.193 Fr | 16 945 949 |
Dec 27, 2023 | 0.188 Fr | 0.199 Fr | 0.187 Fr | 0.192 Fr | 22 257 598 |
Dec 22, 2023 | 0.188 Fr | 0.190 Fr | 0.182 Fr | 0.189 Fr | 15 566 577 |
Dec 21, 2023 | 0.185 Fr | 0.195 Fr | 0.184 Fr | 0.189 Fr | 11 444 007 |
Dec 20, 2023 | 0.191 Fr | 0.192 Fr | 0.181 Fr | 0.186 Fr | 20 052 095 |
Dec 19, 2023 | 0.198 Fr | 0.199 Fr | 0.181 Fr | 0.191 Fr | 29 282 133 |
Dec 18, 2023 | 0.181 Fr | 0.209 Fr | 0.179 Fr | 0.200 Fr | 47 713 318 |
Dec 15, 2023 | 0.182 Fr | 0.183 Fr | 0.176 Fr | 0.182 Fr | 59 819 523 |
Dec 14, 2023 | 0.165 Fr | 0.185 Fr | 0.162 Fr | 0.178 Fr | 77 542 584 |
Dec 13, 2023 | 0.192 Fr | 0.199 Fr | 0.151 Fr | 0.159 Fr | 150 049 355 |
Dec 12, 2023 | 0.228 Fr | 0.229 Fr | 0.166 Fr | 0.186 Fr | 99 342 353 |
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.