GER:FNTN
freenet AG Stock Price (Quote)
24.84€
-0.400 (-1.58%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 22.78€ | 25.72€ | Friday, 14th Jun 2024 FNTN.DE stock ended at 24.84€. This is 1.58% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.18% from a day low at 24.74€ to a day high of 25.28€. |
90 days | 22.78€ | 27.42€ | |
52 weeks | 20.88€ | 27.42€ |
Historical freenet AG prices
Date | Open | High | Low | Close | Volume |
Jan 05, 2022 | 23.59€ | 23.70€ | 23.42€ | 23.52€ | 417 194 |
Jan 04, 2022 | 23.04€ | 23.18€ | 22.97€ | 23.51€ | 291 482 |
Jan 03, 2022 | 23.40€ | 23.50€ | 23.29€ | 23.42€ | 225 303 |
Dec 30, 2021 | 23.37€ | 23.38€ | 23.17€ | 23.27€ | 134 001 |
Dec 29, 2021 | 23.36€ | 23.40€ | 23.27€ | 23.34€ | 148 702 |
Dec 28, 2021 | 23.14€ | 23.42€ | 23.08€ | 23.32€ | 321 540 |
Dec 27, 2021 | 23.20€ | 23.22€ | 23.04€ | 23.10€ | 233 540 |
Dec 23, 2021 | 23.04€ | 23.18€ | 22.97€ | 23.18€ | 291 482 |
Dec 22, 2021 | 22.98€ | 23.04€ | 22.85€ | 22.98€ | 237 722 |
Dec 21, 2021 | 22.98€ | 23.06€ | 22.87€ | 22.93€ | 205 927 |
Dec 20, 2021 | 22.56€ | 22.77€ | 22.25€ | 22.75€ | 398 274 |
Dec 17, 2021 | 22.84€ | 23.24€ | 22.81€ | 22.94€ | 1 566 849 |
Dec 16, 2021 | 22.88€ | 23.09€ | 22.67€ | 22.85€ | 632 194 |
Dec 15, 2021 | 22.98€ | 22.99€ | 22.63€ | 22.84€ | 529 272 |
Dec 14, 2021 | 22.56€ | 22.95€ | 22.44€ | 22.91€ | 535 007 |
Dec 13, 2021 | 22.44€ | 22.65€ | 22.34€ | 22.52€ | 382 694 |
Dec 10, 2021 | 22.73€ | 22.50€ | 22.20€ | 22.24€ | 73 187 |
Dec 09, 2021 | 22.73€ | 22.73€ | 22.31€ | 22.38€ | 311 171 |
Dec 08, 2021 | 22.74€ | 22.88€ | 22.59€ | 22.64€ | 524 446 |
Dec 07, 2021 | 22.22€ | 22.22€ | 22.22€ | 22.22€ | 0 |
Dec 06, 2021 | 22.22€ | 22.22€ | 22.22€ | 22.22€ | 0 |
Dec 03, 2021 | 22.57€ | 22.57€ | 22.19€ | 22.22€ | 121 079 |
Dec 02, 2021 | 22.60€ | 22.67€ | 22.31€ | 22.34€ | 113 753 |
Dec 01, 2021 | 22.47€ | 22.70€ | 22.33€ | 22.66€ | 569 014 |
Nov 30, 2021 | 22.42€ | 22.60€ | 22.24€ | 22.38€ | 494 232 |
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 FNTN.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the FNTN.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 FNTN.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.