BRU:PROX
Proximus SA de droit public Stock Price (Quote)
7.35€
+0.0350 (+0.479%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 6.72€ | 7.58€ | Wednesday, 22nd May 2024 PROX.BB stock ended at 7.35€. This is 0.479% more than the trading day before Tuesday, 21st May 2024. During the day the stock fluctuated 1.38% from a day low at 7.26€ to a day high of 7.36€. |
90 days | 6.72€ | 8.47€ | |
52 weeks | 6.39€ | 9.32€ |
Date | Open | High | Low | Close | Volume |
Jul 04, 2023 | 7.00€ | 7.07€ | 6.97€ | 7.02€ | 645 669 |
Jul 03, 2023 | 6.87€ | 6.99€ | 6.85€ | 6.90€ | 516 456 |
Jun 30, 2023 | 6.80€ | 6.89€ | 6.74€ | 6.82€ | 659 900 |
Jun 29, 2023 | 6.81€ | 6.82€ | 6.74€ | 6.77€ | 445 067 |
Jun 28, 2023 | 6.82€ | 6.92€ | 6.82€ | 6.82€ | 552 453 |
Jun 27, 2023 | 6.75€ | 6.79€ | 6.68€ | 6.78€ | 503 840 |
Jun 26, 2023 | 6.84€ | 6.85€ | 6.73€ | 6.73€ | 582 177 |
Jun 23, 2023 | 6.86€ | 6.93€ | 6.82€ | 6.85€ | 413 083 |
Jun 22, 2023 | 6.90€ | 6.97€ | 6.83€ | 6.88€ | 599 419 |
Jun 21, 2023 | 7.05€ | 7.05€ | 6.92€ | 6.93€ | 892 277 |
Jun 20, 2023 | 7.06€ | 7.11€ | 6.95€ | 7.06€ | 819 315 |
Jun 19, 2023 | 7.10€ | 7.13€ | 7.02€ | 7.10€ | 530 883 |
Jun 16, 2023 | 7.21€ | 7.21€ | 7.11€ | 7.12€ | 972 598 |
Jun 15, 2023 | 7.18€ | 7.22€ | 7.15€ | 7.20€ | 763 047 |
Jun 14, 2023 | 7.17€ | 7.32€ | 7.13€ | 7.20€ | 631 950 |
Jun 13, 2023 | 7.19€ | 7.24€ | 7.15€ | 7.18€ | 757 654 |
Jun 12, 2023 | 7.35€ | 7.35€ | 7.14€ | 7.17€ | 764 240 |
Jun 09, 2023 | 7.36€ | 7.38€ | 7.26€ | 7.34€ | 456 980 |
Jun 08, 2023 | 7.47€ | 7.48€ | 7.34€ | 7.34€ | 393 485 |
Jun 07, 2023 | 7.34€ | 7.53€ | 7.33€ | 7.48€ | 596 127 |
Jun 06, 2023 | 7.34€ | 7.39€ | 7.27€ | 7.36€ | 642 380 |
Jun 05, 2023 | 7.47€ | 7.60€ | 7.38€ | 7.38€ | 760 935 |
Jun 02, 2023 | 7.35€ | 7.69€ | 7.35€ | 7.42€ | 1 520 314 |
Jun 01, 2023 | 7.28€ | 7.33€ | 7.19€ | 7.33€ | 673 029 |
May 31, 2023 | 7.12€ | 7.31€ | 7.09€ | 7.26€ | 1 418 005 |
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.
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 PROX.BB stock historical prices to predict future price movements?
Trend Analysis: Examine the PROX.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.
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.
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 PROX.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.