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Range Low Price High Price Comment
30 days 6.42€ 7.25€ Tuesday, 4th Jun 2024 XFAB.PA stock ended at 6.50€. This is 0.383% less than the trading day before Monday, 3rd Jun 2024. During the day the stock fluctuated 1.63% from a day low at 6.46€ to a day high of 6.56€.
90 days 6.26€ 7.85€
52 weeks 6.26€ 11.62€

Historical X-FAB Silicon Foundries SE prices

Date Open High Low Close Volume
Nov 08, 2022 5.70€ 6.06€ 5.70€ 6.06€ 126 514
Nov 07, 2022 5.45€ 5.70€ 5.35€ 5.69€ 51 332
Nov 04, 2022 5.32€ 5.52€ 5.32€ 5.48€ 60 735
Nov 03, 2022 5.38€ 5.38€ 5.24€ 5.30€ 92 259
Nov 02, 2022 5.36€ 5.55€ 5.29€ 5.48€ 474 134
Nov 01, 2022 5.33€ 5.37€ 5.24€ 5.34€ 77 186
Oct 31, 2022 5.31€ 5.40€ 5.21€ 5.25€ 80 927
Oct 28, 2022 5.57€ 5.61€ 5.17€ 5.21€ 391 771
Oct 27, 2022 5.76€ 5.77€ 5.57€ 5.71€ 243 786
Oct 26, 2022 5.95€ 5.95€ 5.72€ 5.76€ 244 697
Oct 25, 2022 5.88€ 5.98€ 5.76€ 5.98€ 359 009
Oct 24, 2022 5.83€ 5.87€ 5.72€ 5.85€ 64 780
Oct 21, 2022 5.65€ 5.78€ 5.65€ 5.76€ 44 403
Oct 20, 2022 5.75€ 5.83€ 5.64€ 5.83€ 41 373
Oct 19, 2022 5.75€ 5.82€ 5.66€ 5.75€ 112 084
Oct 18, 2022 5.60€ 5.73€ 5.59€ 5.71€ 95 581
Oct 17, 2022 5.50€ 5.60€ 5.41€ 5.52€ 182 634
Oct 14, 2022 5.42€ 5.52€ 5.33€ 5.35€ 136 308
Oct 13, 2022 5.27€ 5.35€ 5.03€ 5.35€ 141 568
Oct 12, 2022 5.23€ 5.26€ 5.15€ 5.21€ 123 690
Oct 11, 2022 5.21€ 5.28€ 5.12€ 5.19€ 167 500
Oct 10, 2022 5.20€ 5.34€ 5.15€ 5.17€ 137 094
Oct 07, 2022 5.14€ 5.33€ 5.06€ 5.20€ 272 657
Oct 06, 2022 5.48€ 5.60€ 5.48€ 5.56€ 35 093
Oct 05, 2022 5.53€ 5.63€ 5.46€ 5.51€ 51 438

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 XFAB.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the XFAB.PA 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 XFAB.PA 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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