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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
Feb 09, 2022 24.85€ 25.40€ 24.70€ 25.28€ 488 528
Feb 08, 2022 25.02€ 25.23€ 24.70€ 24.79€ 673 363
Feb 07, 2022 25.00€ 25.07€ 24.64€ 25.03€ 458 068
Feb 04, 2022 24.94€ 25.16€ 24.74€ 24.81€ 766 236
Feb 03, 2022 24.40€ 24.78€ 24.33€ 24.78€ 638 335
Feb 02, 2022 24.18€ 24.44€ 24.01€ 24.44€ 557 753
Feb 01, 2022 24.18€ 24.19€ 23.86€ 24.11€ 646 320
Jan 31, 2022 24.22€ 24.38€ 23.84€ 24.09€ 814 528
Jan 28, 2022 24.16€ 24.24€ 23.91€ 24.20€ 414 496
Jan 27, 2022 23.39€ 24.23€ 23.39€ 24.20€ 693 897
Jan 26, 2022 23.25€ 23.91€ 23.25€ 23.65€ 212 231
Jan 25, 2022 23.72€ 23.84€ 23.37€ 23.66€ 608 707
Jan 24, 2022 23.33€ 23.66€ 22.97€ 23.11€ 818 795
Jan 21, 2022 23.72€ 23.84€ 23.37€ 23.43€ 608 707
Jan 20, 2022 24.05€ 24.13€ 23.77€ 23.94€ 314 327
Jan 19, 2022 24.06€ 24.27€ 24.01€ 24.04€ 437 265
Jan 18, 2022 24.14€ 24.34€ 24.03€ 24.16€ 556 772
Jan 17, 2022 24.08€ 24.25€ 24.03€ 24.06€ 371 280
Jan 14, 2022 23.60€ 24.13€ 23.44€ 24.06€ 718 718
Jan 13, 2022 23.60€ 23.62€ 23.31€ 23.60€ 626 844
Jan 12, 2022 23.60€ 23.65€ 23.44€ 23.51€ 469 561
Jan 11, 2022 23.55€ 23.62€ 23.36€ 23.42€ 391 676
Jan 10, 2022 23.56€ 23.64€ 23.34€ 23.50€ 340 860
Jan 07, 2022 23.45€ 23.59€ 23.35€ 23.45€ 250 607
Jan 06, 2022 23.39€ 23.60€ 23.35€ 23.45€ 289 420

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.

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.

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.

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.
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About freenet AG

freenet AG freenet AG provides telecommunications, radio and multimedia, mobile communications, mobile Internet, and digital lifestyle services in Germany. It provides a portfolio of services and products primarily in the areas of mobile voice and data services. The Mobile Communications segment offers mobile communications services, such as marketing of mobile communications services, which include voice and data services from the mobile communications net... FNTN.DE Profile

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