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 26, 2022 | 0.345 Fr | 0.353 Fr | 0.341 Fr | 0.341 Fr | 10 461 209 |
Jan 25, 2022 | 0.325 Fr | 0.342 Fr | 0.325 Fr | 0.336 Fr | 18 476 042 |
Jan 24, 2022 | 0.336 Fr | 0.337 Fr | 0.312 Fr | 0.314 Fr | 29 645 966 |
Jan 21, 2022 | 0.355 Fr | 0.355 Fr | 0.336 Fr | 0.348 Fr | 25 821 075 |
Jan 20, 2022 | 0.368 Fr | 0.370 Fr | 0.356 Fr | 0.362 Fr | 16 036 250 |
Jan 19, 2022 | 0.380 Fr | 0.381 Fr | 0.362 Fr | 0.363 Fr | 20 622 880 |
Jan 18, 2022 | 0.396 Fr | 0.396 Fr | 0.380 Fr | 0.381 Fr | 10 398 094 |
Jan 17, 2022 | 0.382 Fr | 0.397 Fr | 0.380 Fr | 0.397 Fr | 9 552 944 |
Jan 14, 2022 | 0.388 Fr | 0.393 Fr | 0.381 Fr | 0.384 Fr | 4 917 881 |
Jan 13, 2022 | 0.389 Fr | 0.396 Fr | 0.386 Fr | 0.389 Fr | 9 991 985 |
Jan 12, 2022 | 0.387 Fr | 0.391 Fr | 0.382 Fr | 0.388 Fr | 4 326 328 |
Jan 11, 2022 | 0.399 Fr | 0.399 Fr | 0.380 Fr | 0.384 Fr | 3 318 170 |
Jan 10, 2022 | 0.391 Fr | 0.397 Fr | 0.384 Fr | 0.384 Fr | 6 692 650 |
Jan 07, 2022 | 0.402 Fr | 0.402 Fr | 0.389 Fr | 0.397 Fr | 11 616 649 |
Jan 06, 2022 | 0.411 Fr | 0.411 Fr | 0.393 Fr | 0.394 Fr | 24 865 336 |
Jan 05, 2022 | 0.417 Fr | 0.424 Fr | 0.411 Fr | 0.420 Fr | 6 917 703 |
Jan 04, 2022 | 0.418 Fr | 0.433 Fr | 0.413 Fr | 0.413 Fr | 16 046 348 |
Jan 03, 2022 | 0.404 Fr | 0.424 Fr | 0.404 Fr | 0.415 Fr | 10 144 491 |
Dec 30, 2021 | 0.400 Fr | 0.410 Fr | 0.400 Fr | 0.407 Fr | 9 017 794 |
Dec 29, 2021 | 0.403 Fr | 0.406 Fr | 0.394 Fr | 0.401 Fr | 12 111 140 |
Dec 28, 2021 | 0.407 Fr | 0.410 Fr | 0.398 Fr | 0.403 Fr | 9 576 857 |
Dec 27, 2021 | 0.414 Fr | 0.414 Fr | 0.402 Fr | 0.407 Fr | 5 652 471 |
Dec 23, 2021 | 0.415 Fr | 0.420 Fr | 0.408 Fr | 0.410 Fr | 5 587 648 |
Dec 22, 2021 | 0.401 Fr | 0.414 Fr | 0.401 Fr | 0.413 Fr | 14 842 413 |
Dec 21, 2021 | 0.397 Fr | 0.403 Fr | 0.388 Fr | 0.400 Fr | 9 413 014 |
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.