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 |
Jun 29, 2023 | 2.60€ | 2.60€ | 2.57€ | 2.58€ | 1 718 513 |
Jun 28, 2023 | 2.61€ | 2.63€ | 2.59€ | 2.60€ | 2 570 465 |
Jun 27, 2023 | 2.59€ | 2.62€ | 2.58€ | 2.62€ | 2 985 123 |
Jun 26, 2023 | 2.60€ | 2.61€ | 2.58€ | 2.58€ | 1 845 891 |
Jun 23, 2023 | 2.55€ | 2.61€ | 2.55€ | 2.60€ | 1 369 247 |
Jun 22, 2023 | 2.57€ | 2.57€ | 2.55€ | 2.55€ | 1 649 269 |
Jun 21, 2023 | 2.59€ | 2.60€ | 2.56€ | 2.57€ | 2 809 382 |
Jun 20, 2023 | 2.61€ | 2.62€ | 2.59€ | 2.59€ | 2 451 863 |
Jun 19, 2023 | 2.62€ | 2.65€ | 2.60€ | 2.62€ | 3 136 834 |
Jun 16, 2023 | 2.59€ | 2.60€ | 2.58€ | 2.60€ | 5 652 989 |
Jun 15, 2023 | 2.57€ | 2.60€ | 2.56€ | 2.59€ | 3 021 068 |
Jun 14, 2023 | 2.57€ | 2.59€ | 2.56€ | 2.57€ | 4 235 566 |
Jun 13, 2023 | 2.58€ | 2.60€ | 2.57€ | 2.58€ | 1 938 715 |
Jun 12, 2023 | 2.63€ | 2.64€ | 2.58€ | 2.58€ | 4 253 437 |
Jun 09, 2023 | 2.61€ | 2.63€ | 2.60€ | 2.62€ | 1 967 994 |
Jun 08, 2023 | 2.61€ | 2.63€ | 2.59€ | 2.61€ | 3 274 088 |
Jun 07, 2023 | 2.60€ | 2.64€ | 2.59€ | 2.60€ | 3 441 241 |
Jun 06, 2023 | 2.63€ | 2.64€ | 2.59€ | 2.61€ | 3 073 176 |
Jun 05, 2023 | 2.66€ | 2.67€ | 2.64€ | 2.64€ | 2 866 525 |
Jun 02, 2023 | 2.65€ | 2.69€ | 2.59€ | 2.64€ | 4 044 216 |
Jun 01, 2023 | 2.65€ | 2.67€ | 2.60€ | 2.66€ | 2 086 288 |
May 31, 2023 | 2.65€ | 2.67€ | 2.62€ | 2.64€ | 15 629 172 |
May 30, 2023 | 2.68€ | 2.71€ | 2.66€ | 2.67€ | 1 484 138 |
May 29, 2023 | 2.70€ | 2.70€ | 2.66€ | 2.67€ | 1 488 430 |
May 26, 2023 | 2.71€ | 2.72€ | 2.65€ | 2.69€ | 3 169 966 |
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.