BRU:PROX
Proximus SA de droit public Stock Price (Quote)
7.15€
-0.105 (-1.45%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 7.10€ | 7.72€ | Friday, 14th Jun 2024 PROX.BB stock ended at 7.15€. This is 1.45% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.18% from a day low at 7.10€ to a day high of 7.25€. |
90 days | 6.72€ | 7.72€ | |
52 weeks | 6.39€ | 9.32€ |
Historical Proximus SA de droit public prices
Date | Open | High | Low | Close | Volume |
May 18, 2023 | 7.50€ | 7.50€ | 7.27€ | 7.32€ | 997 371 |
May 17, 2023 | 7.55€ | 7.55€ | 7.43€ | 7.45€ | 640 109 |
May 16, 2023 | 7.60€ | 7.62€ | 7.54€ | 7.59€ | 542 974 |
May 15, 2023 | 7.62€ | 7.70€ | 7.60€ | 7.63€ | 414 680 |
May 12, 2023 | 7.74€ | 7.74€ | 7.58€ | 7.59€ | 555 304 |
May 11, 2023 | 7.74€ | 7.81€ | 7.70€ | 7.71€ | 533 681 |
May 10, 2023 | 7.86€ | 7.87€ | 7.65€ | 7.73€ | 750 389 |
May 09, 2023 | 7.81€ | 7.85€ | 7.75€ | 7.82€ | 1 086 461 |
May 08, 2023 | 7.69€ | 7.85€ | 7.66€ | 7.85€ | 1 063 188 |
May 05, 2023 | 7.50€ | 7.69€ | 7.50€ | 7.67€ | 869 589 |
May 04, 2023 | 7.46€ | 7.51€ | 7.33€ | 7.41€ | 810 072 |
May 03, 2023 | 7.42€ | 7.48€ | 7.30€ | 7.48€ | 934 355 |
May 02, 2023 | 7.80€ | 7.82€ | 7.47€ | 7.47€ | 1 583 517 |
Apr 28, 2023 | 8.10€ | 8.16€ | 7.73€ | 7.73€ | 1 877 471 |
Apr 27, 2023 | 7.98€ | 8.16€ | 7.90€ | 8.14€ | 1 020 264 |
Apr 26, 2023 | 7.80€ | 8.04€ | 7.74€ | 7.95€ | 1 543 873 |
Apr 25, 2023 | 8.50€ | 8.50€ | 8.25€ | 8.40€ | 1 977 645 |
Apr 24, 2023 | 8.61€ | 8.64€ | 8.44€ | 8.45€ | 1 074 366 |
Apr 21, 2023 | 8.68€ | 8.69€ | 8.50€ | 8.59€ | 889 406 |
Apr 20, 2023 | 8.88€ | 8.88€ | 8.65€ | 8.69€ | 1 115 938 |
Apr 19, 2023 | 8.93€ | 8.98€ | 8.87€ | 8.90€ | 842 589 |
Apr 18, 2023 | 9.19€ | 9.23€ | 8.92€ | 8.92€ | 1 026 011 |
Apr 17, 2023 | 9.05€ | 9.24€ | 9.03€ | 9.16€ | 1 164 426 |
Apr 14, 2023 | 9.01€ | 9.06€ | 8.96€ | 9.01€ | 800 933 |
Apr 13, 2023 | 8.95€ | 9.04€ | 8.88€ | 9.01€ | 819 260 |
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.