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Range Low Price High Price Comment
30 days 22.78€ 27.42€ Friday, 17th May 2024 FNTN.DE stock ended at 23.88€. This is 3.74% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.92% from a day low at 22.98€ to a day high of 23.88€.
90 days 22.78€ 27.42€
52 weeks 20.88€ 27.42€

Historical freenet AG prices

Date Open High Low Close Volume
May 17, 2024 23.00€ 23.88€ 22.98€ 23.88€ 648 354
May 16, 2024 23.88€ 23.88€ 22.78€ 23.02€ 813 207
May 15, 2024 24.00€ 24.00€ 23.74€ 23.92€ 442 055
May 14, 2024 24.10€ 24.22€ 23.96€ 24.00€ 394 026
May 13, 2024 23.90€ 24.06€ 23.74€ 23.98€ 308 708
May 10, 2024 23.94€ 24.02€ 23.68€ 23.78€ 383 597
May 09, 2024 23.74€ 23.88€ 23.48€ 23.74€ 551 782
May 08, 2024 25.72€ 25.72€ 25.20€ 25.34€ 493 551
May 07, 2024 25.70€ 25.76€ 25.44€ 25.60€ 668 800
May 06, 2024 25.34€ 26.00€ 25.26€ 25.74€ 413 106
May 03, 2024 25.90€ 25.96€ 25.16€ 25.16€ 753 112
May 02, 2024 26.24€ 26.40€ 25.94€ 25.94€ 441 470
Apr 30, 2024 27.00€ 27.06€ 25.96€ 26.04€ 624 068
Apr 29, 2024 27.12€ 27.18€ 26.62€ 27.06€ 443 685
Apr 26, 2024 26.86€ 27.12€ 26.82€ 27.10€ 236 735
Apr 25, 2024 27.08€ 27.08€ 26.64€ 26.78€ 334 022
Apr 24, 2024 27.38€ 27.42€ 26.92€ 26.94€ 236 803
Apr 23, 2024 27.32€ 27.34€ 27.16€ 27.30€ 189 861
Apr 22, 2024 27.10€ 27.34€ 27.00€ 27.26€ 260 054
Apr 19, 2024 26.88€ 27.02€ 26.72€ 26.90€ 265 017
Apr 18, 2024 26.56€ 26.96€ 26.54€ 26.92€ 238 181
Apr 17, 2024 26.20€ 26.66€ 26.14€ 26.48€ 239 975
Apr 16, 2024 26.36€ 26.54€ 26.14€ 26.16€ 328 725
Apr 15, 2024 26.50€ 26.74€ 26.36€ 26.50€ 222 080
Apr 12, 2024 26.54€ 26.82€ 26.50€ 26.54€ 269 620

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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