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 |
Sep 07, 2023 | 1.71€ | 1.73€ | 1.70€ | 1.73€ | 5 098 257 |
Sep 06, 2023 | 1.74€ | 1.77€ | 1.72€ | 1.73€ | 4 251 721 |
Sep 05, 2023 | 1.73€ | 1.76€ | 1.72€ | 1.74€ | 2 716 087 |
Sep 04, 2023 | 1.76€ | 1.77€ | 1.73€ | 1.74€ | 3 888 611 |
Sep 01, 2023 | 1.75€ | 1.77€ | 1.74€ | 1.75€ | 4 941 618 |
Aug 31, 2023 | 1.77€ | 1.78€ | 1.75€ | 1.75€ | 10 601 814 |
Aug 30, 2023 | 1.76€ | 1.78€ | 1.75€ | 1.77€ | 3 629 604 |
Aug 29, 2023 | 1.71€ | 1.76€ | 1.71€ | 1.76€ | 4 311 431 |
Aug 28, 2023 | 1.69€ | 1.72€ | 1.69€ | 1.71€ | 3 584 184 |
Aug 25, 2023 | 1.71€ | 1.71€ | 1.69€ | 1.70€ | 3 970 713 |
Aug 24, 2023 | 1.73€ | 1.74€ | 1.70€ | 1.71€ | 2 239 817 |
Aug 23, 2023 | 1.72€ | 1.73€ | 1.71€ | 1.72€ | 3 194 301 |
Aug 22, 2023 | 1.71€ | 1.72€ | 1.70€ | 1.71€ | 3 143 883 |
Aug 21, 2023 | 1.70€ | 1.74€ | 1.70€ | 1.71€ | 3 820 937 |
Aug 18, 2023 | 1.71€ | 1.73€ | 1.71€ | 1.72€ | 5 831 644 |
Aug 17, 2023 | 1.70€ | 1.72€ | 1.69€ | 1.72€ | 5 828 644 |
Aug 16, 2023 | 1.70€ | 1.73€ | 1.69€ | 1.71€ | 8 002 549 |
Aug 15, 2023 | 1.80€ | 1.81€ | 1.73€ | 1.73€ | 6 335 429 |
Aug 14, 2023 | 1.77€ | 1.80€ | 1.77€ | 1.80€ | 5 121 174 |
Aug 11, 2023 | 1.80€ | 1.82€ | 1.77€ | 1.78€ | 5 232 978 |
Aug 10, 2023 | 1.79€ | 1.81€ | 1.78€ | 1.80€ | 5 929 419 |
Aug 09, 2023 | 1.78€ | 1.82€ | 1.77€ | 1.79€ | 7 412 969 |
Aug 08, 2023 | 1.82€ | 1.83€ | 1.78€ | 1.78€ | 12 827 868 |
Aug 07, 2023 | 1.85€ | 1.88€ | 1.82€ | 1.83€ | 10 119 070 |
Aug 04, 2023 | 1.86€ | 1.92€ | 1.85€ | 1.88€ | 15 748 419 |
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.