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Range Low Price High Price Comment
30 days 14.59€ 19.46€ Friday, 31st May 2024 EURN.BB stock ended at 15.19€. This is 1.74% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.14% from a day low at 14.93€ to a day high of 15.25€.
90 days 12.70€ 19.46€
52 weeks 12.70€ 19.46€

Historical Euronav NV prices

Date Open High Low Close Volume
Jan 26, 2022 7.45€ 7.70€ 7.45€ 7.62€ 429 840
Jan 25, 2022 7.26€ 7.44€ 7.22€ 7.42€ 722 922
Jan 24, 2022 7.50€ 7.52€ 7.06€ 7.19€ 1 462 774
Jan 21, 2022 7.86€ 7.86€ 7.56€ 7.61€ 571 674
Jan 20, 2022 8.00€ 8.03€ 7.83€ 8.00€ 338 470
Jan 19, 2022 7.94€ 8.04€ 7.90€ 8.00€ 275 044
Jan 18, 2022 8.16€ 8.18€ 8.00€ 8.03€ 199 719
Jan 17, 2022 8.14€ 8.23€ 8.03€ 8.12€ 254 796
Jan 14, 2022 8.04€ 8.10€ 7.93€ 8.08€ 235 605
Jan 13, 2022 8.24€ 8.27€ 8.20€ 8.21€ 18 671
Jan 12, 2022 8.30€ 8.39€ 8.17€ 8.30€ 369 169
Jan 11, 2022 8.00€ 8.20€ 8.00€ 8.20€ 342 680
Jan 10, 2022 8.05€ 8.16€ 7.95€ 8.03€ 280 774
Jan 07, 2022 8.05€ 8.11€ 7.96€ 7.99€ 223 733
Jan 06, 2022 8.00€ 8.15€ 7.91€ 8.06€ 258 953
Jan 05, 2022 8.18€ 8.18€ 8.18€ 8.18€ 0
Jan 04, 2022 8.12€ 8.28€ 8.12€ 8.18€ 447 717
Jan 03, 2022 7.75€ 8.12€ 7.75€ 8.07€ 386 582
Dec 31, 2021 7.79€ 7.86€ 7.79€ 7.80€ 54 090
Dec 30, 2021 7.72€ 7.82€ 7.70€ 7.78€ 158 011
Dec 29, 2021 7.85€ 7.87€ 7.70€ 7.72€ 194 174
Dec 28, 2021 7.73€ 7.91€ 7.71€ 7.88€ 230 407
Dec 27, 2021 7.74€ 7.84€ 7.73€ 7.78€ 249 905
Dec 24, 2021 7.77€ 7.77€ 7.68€ 7.74€ 42 611
Dec 23, 2021 7.74€ 7.81€ 7.69€ 7.77€ 217 467

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 EURN.BB stock historical prices to predict future price movements?
Trend Analysis: Examine the EURN.BB 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 EURN.BB 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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