GER:O2D
Telefónica Deutschland Holding AG Stock Price (Quote)
2.43€
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 2.34€ | 2.43€ | Friday, 17th May 2024 O2D.DE stock ended at 2.43€. During the day the stock fluctuated 0% from a day low at 2.43€ to a day high of 2.43€. |
90 days | 2.33€ | 2.43€ | |
52 weeks | 1.55€ | 2.82€ |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | 2.35€ | 2.36€ | 2.35€ | 2.35€ | 11 575 397 |
Nov 15, 2023 | 2.35€ | 2.36€ | 2.35€ | 2.35€ | 8 562 872 |
Nov 14, 2023 | 2.35€ | 2.36€ | 2.35€ | 2.35€ | 12 925 602 |
Nov 13, 2023 | 2.35€ | 2.35€ | 2.35€ | 2.35€ | 11 361 786 |
Nov 10, 2023 | 2.35€ | 2.35€ | 2.35€ | 2.35€ | 17 497 184 |
Nov 09, 2023 | 2.34€ | 2.35€ | 2.34€ | 2.35€ | 16 099 028 |
Nov 08, 2023 | 2.34€ | 2.36€ | 2.34€ | 2.35€ | 43 839 225 |
Nov 07, 2023 | 2.35€ | 2.42€ | 2.34€ | 2.35€ | 100 544 023 |
Nov 06, 2023 | 1.71€ | 1.73€ | 1.70€ | 1.71€ | 5 257 427 |
Nov 03, 2023 | 1.64€ | 1.69€ | 1.64€ | 1.68€ | 4 004 052 |
Nov 02, 2023 | 1.61€ | 1.65€ | 1.61€ | 1.63€ | 4 971 811 |
Nov 01, 2023 | 1.62€ | 1.62€ | 1.58€ | 1.60€ | 4 514 607 |
Oct 31, 2023 | 1.59€ | 1.61€ | 1.58€ | 1.60€ | 4 162 602 |
Oct 30, 2023 | 1.58€ | 1.61€ | 1.58€ | 1.60€ | 1 945 850 |
Oct 27, 2023 | 1.56€ | 1.59€ | 1.56€ | 1.58€ | 3 515 333 |
Oct 26, 2023 | 1.56€ | 1.58€ | 1.55€ | 1.56€ | 4 718 860 |
Oct 25, 2023 | 1.63€ | 1.64€ | 1.57€ | 1.58€ | 6 501 350 |
Oct 24, 2023 | 1.62€ | 1.64€ | 1.61€ | 1.64€ | 3 760 208 |
Oct 23, 2023 | 1.65€ | 1.66€ | 1.59€ | 1.61€ | 4 858 303 |
Oct 20, 2023 | 1.66€ | 1.67€ | 1.63€ | 1.66€ | 4 635 187 |
Oct 19, 2023 | 1.69€ | 1.70€ | 1.67€ | 1.68€ | 3 358 397 |
Oct 18, 2023 | 1.69€ | 1.72€ | 1.68€ | 1.71€ | 3 481 506 |
Oct 17, 2023 | 1.70€ | 1.70€ | 1.68€ | 1.69€ | 1 633 702 |
Oct 16, 2023 | 1.70€ | 1.70€ | 1.67€ | 1.69€ | 2 074 301 |
Oct 13, 2023 | 1.72€ | 1.72€ | 1.69€ | 1.69€ | 2 460 666 |
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 O2D.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the O2D.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 O2D.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.