GER:O2D
Telefónica Deutschland Holding AG Stock Price (Quote)
2.43€
+0 (+0%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 2.43€ | 2.43€ | Wednesday, 22nd 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€ | 2.77€ |
Date | Open | High | Low | Close | Volume |
Jan 17, 2022 | 2.52€ | 2.53€ | 2.51€ | 2.53€ | 1 752 268 |
Jan 14, 2022 | 2.51€ | 2.52€ | 2.49€ | 2.52€ | 4 104 837 |
Jan 13, 2022 | 2.52€ | 2.53€ | 2.50€ | 2.52€ | 2 657 120 |
Jan 12, 2022 | 2.55€ | 2.56€ | 2.48€ | 2.52€ | 4 958 509 |
Jan 11, 2022 | 2.48€ | 2.50€ | 2.47€ | 2.49€ | 2 606 769 |
Jan 10, 2022 | 2.45€ | 2.48€ | 2.45€ | 2.47€ | 2 347 713 |
Jan 07, 2022 | 2.46€ | 2.46€ | 2.44€ | 2.45€ | 1 882 806 |
Jan 06, 2022 | 2.46€ | 2.47€ | 2.45€ | 2.47€ | 2 480 626 |
Jan 05, 2022 | 2.46€ | 2.48€ | 2.46€ | 2.47€ | 2 087 168 |
Jan 04, 2022 | 2.44€ | 2.46€ | 2.44€ | 2.46€ | 2 036 138 |
Jan 03, 2022 | 2.48€ | 2.48€ | 2.44€ | 2.47€ | 2 392 364 |
Dec 30, 2021 | 2.45€ | 2.45€ | 2.43€ | 2.44€ | 1 442 833 |
Dec 29, 2021 | 2.47€ | 2.48€ | 2.45€ | 2.45€ | 788 577 |
Dec 28, 2021 | 2.46€ | 2.47€ | 2.45€ | 2.47€ | 1 937 583 |
Dec 27, 2021 | 2.45€ | 2.48€ | 2.45€ | 2.45€ | 827 128 |
Dec 23, 2021 | 2.44€ | 2.46€ | 2.44€ | 2.46€ | 2 036 138 |
Dec 22, 2021 | 2.49€ | 2.49€ | 2.42€ | 2.44€ | 2 852 505 |
Dec 21, 2021 | 2.47€ | 2.49€ | 2.46€ | 2.49€ | 4 085 069 |
Dec 20, 2021 | 2.43€ | 2.46€ | 2.42€ | 2.45€ | 2 395 484 |
Dec 17, 2021 | 2.42€ | 2.47€ | 2.42€ | 2.46€ | 14 691 130 |
Dec 16, 2021 | 2.41€ | 2.42€ | 2.38€ | 2.42€ | 5 122 439 |
Dec 15, 2021 | 2.39€ | 2.40€ | 2.36€ | 2.39€ | 3 654 322 |
Dec 14, 2021 | 2.34€ | 2.38€ | 2.33€ | 2.38€ | 3 871 687 |
Dec 13, 2021 | 2.34€ | 2.36€ | 2.33€ | 2.34€ | 3 420 586 |
Dec 10, 2021 | 2.36€ | 2.38€ | 2.34€ | 2.35€ | 593 804 |
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.