GER:MOR
MorphoSys AG Stock Price (Quote)
69.35€
+0.300 (+0.434%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 65.20€ | 69.75€ | Friday, 17th May 2024 MOR.DE stock ended at 69.35€. This is 0.434% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.01% from a day low at 69.00€ to a day high of 69.70€. |
90 days | 64.74€ | 69.75€ | |
52 weeks | 14.52€ | 69.75€ |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | 26.00€ | 26.47€ | 22.91€ | 23.35€ | 849 594 |
Nov 15, 2023 | 28.20€ | 28.75€ | 25.60€ | 26.30€ | 592 939 |
Nov 14, 2023 | 27.71€ | 28.78€ | 27.69€ | 27.95€ | 254 796 |
Nov 13, 2023 | 29.00€ | 29.61€ | 27.79€ | 28.05€ | 207 943 |
Nov 10, 2023 | 30.05€ | 30.56€ | 28.39€ | 29.00€ | 306 528 |
Nov 09, 2023 | 31.41€ | 32.18€ | 31.05€ | 31.15€ | 188 173 |
Nov 08, 2023 | 31.12€ | 32.39€ | 30.98€ | 31.56€ | 260 522 |
Nov 07, 2023 | 31.27€ | 31.56€ | 30.61€ | 31.31€ | 217 628 |
Nov 06, 2023 | 30.69€ | 31.97€ | 30.50€ | 31.35€ | 272 707 |
Nov 03, 2023 | 29.65€ | 31.20€ | 29.10€ | 30.41€ | 266 777 |
Nov 02, 2023 | 31.20€ | 32.01€ | 29.79€ | 29.94€ | 230 635 |
Nov 01, 2023 | 30.73€ | 31.70€ | 30.19€ | 31.29€ | 209 628 |
Oct 31, 2023 | 29.84€ | 31.26€ | 29.77€ | 30.50€ | 212 003 |
Oct 30, 2023 | 29.51€ | 30.13€ | 29.26€ | 29.85€ | 122 330 |
Oct 27, 2023 | 29.15€ | 29.72€ | 28.60€ | 29.66€ | 222 943 |
Oct 26, 2023 | 26.98€ | 28.83€ | 26.92€ | 28.72€ | 292 814 |
Oct 25, 2023 | 26.53€ | 27.67€ | 26.10€ | 27.51€ | 197 114 |
Oct 24, 2023 | 25.97€ | 27.00€ | 25.97€ | 26.60€ | 148 910 |
Oct 23, 2023 | 25.50€ | 25.95€ | 25.00€ | 25.80€ | 148 934 |
Oct 20, 2023 | 25.00€ | 25.78€ | 24.67€ | 25.55€ | 114 314 |
Oct 19, 2023 | 25.30€ | 25.85€ | 24.93€ | 25.41€ | 224 472 |
Oct 18, 2023 | 25.95€ | 26.59€ | 25.68€ | 26.18€ | 163 805 |
Oct 17, 2023 | 25.21€ | 26.32€ | 24.78€ | 26.08€ | 138 447 |
Oct 16, 2023 | 24.59€ | 25.24€ | 23.66€ | 24.86€ | 226 598 |
Oct 13, 2023 | 24.54€ | 25.66€ | 23.76€ | 24.10€ | 343 638 |
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 MOR.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the MOR.DE 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 MOR.DE 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.