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Range Low Price High Price Comment
30 days 22.78€ 26.40€ Friday, 31st May 2024 FNTN.DE stock ended at 23.98€. This is 1.18% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.44% from a day low at 23.68€ to a day high of 24.02€.
90 days 22.78€ 27.42€
52 weeks 20.88€ 27.42€

Historical freenet AG prices

Date Open High Low Close Volume
Nov 30, 2023 25.86€ 25.90€ 25.72€ 25.76€ 490 840
Nov 29, 2023 25.58€ 25.86€ 25.58€ 25.78€ 345 714
Nov 28, 2023 25.58€ 25.68€ 25.38€ 25.58€ 380 723
Nov 27, 2023 25.32€ 25.46€ 25.22€ 25.34€ 167 586
Nov 24, 2023 25.20€ 25.36€ 25.18€ 25.34€ 135 191
Nov 23, 2023 25.22€ 25.26€ 25.04€ 25.20€ 184 802
Nov 22, 2023 25.16€ 25.48€ 25.08€ 25.16€ 231 573
Nov 21, 2023 25.06€ 25.24€ 25.04€ 25.16€ 148 407
Nov 20, 2023 25.14€ 25.24€ 25.00€ 25.08€ 194 209
Nov 17, 2023 25.12€ 25.22€ 25.04€ 25.14€ 189 413
Nov 16, 2023 25.32€ 25.44€ 24.96€ 25.02€ 310 513
Nov 15, 2023 25.50€ 25.58€ 25.14€ 25.28€ 307 671
Nov 14, 2023 25.48€ 25.58€ 25.28€ 25.50€ 249 772
Nov 13, 2023 25.18€ 25.42€ 25.06€ 25.42€ 260 989
Nov 10, 2023 25.06€ 25.30€ 24.92€ 25.06€ 439 514
Nov 09, 2023 24.72€ 25.10€ 24.24€ 25.06€ 384 019
Nov 08, 2023 24.52€ 24.96€ 24.52€ 24.94€ 231 250
Nov 07, 2023 24.36€ 24.74€ 24.34€ 24.62€ 373 853
Nov 06, 2023 24.60€ 24.64€ 24.40€ 24.48€ 220 189
Nov 03, 2023 24.56€ 24.64€ 24.40€ 24.52€ 204 347
Nov 02, 2023 24.28€ 24.56€ 24.28€ 24.44€ 323 322
Nov 01, 2023 24.00€ 24.22€ 23.88€ 24.20€ 193 634
Oct 31, 2023 23.80€ 24.00€ 23.66€ 23.94€ 318 110
Oct 30, 2023 23.62€ 23.94€ 23.62€ 23.78€ 171 390
Oct 27, 2023 23.36€ 23.72€ 23.36€ 23.50€ 267 639

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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