BRU:PROX
Proximus SA de droit public Stock Price (Quote)
7.38€
+0.0500 (+0.682%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 6.72€ | 7.58€ | Friday, 17th May 2024 PROX.BB stock ended at 7.38€. This is 0.682% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.02% from a day low at 7.37€ to a day high of 7.44€. |
90 days | 6.72€ | 8.47€ | |
52 weeks | 6.39€ | 9.32€ |
Date | Open | High | Low | Close | Volume |
Apr 11, 2024 | 7.47€ | 7.58€ | 7.44€ | 7.50€ | 308 643 |
Apr 10, 2024 | 7.62€ | 7.69€ | 7.52€ | 7.52€ | 301 814 |
Apr 09, 2024 | 7.56€ | 7.61€ | 7.49€ | 7.59€ | 203 650 |
Apr 08, 2024 | 7.63€ | 7.65€ | 7.55€ | 7.58€ | 253 915 |
Apr 05, 2024 | 7.61€ | 7.70€ | 7.57€ | 7.62€ | 360 163 |
Apr 04, 2024 | 7.64€ | 7.71€ | 7.56€ | 7.63€ | 303 666 |
Apr 03, 2024 | 7.50€ | 7.62€ | 7.47€ | 7.61€ | 370 532 |
Apr 02, 2024 | 7.50€ | 7.50€ | 7.50€ | 7.50€ | 0 |
Mar 28, 2024 | 7.42€ | 7.53€ | 7.37€ | 7.50€ | 251 174 |
Mar 27, 2024 | 7.58€ | 7.59€ | 7.35€ | 7.43€ | 420 960 |
Mar 26, 2024 | 7.33€ | 7.37€ | 7.28€ | 7.37€ | 249 070 |
Mar 25, 2024 | 7.33€ | 7.34€ | 7.25€ | 7.34€ | 206 834 |
Mar 22, 2024 | 7.25€ | 7.35€ | 7.23€ | 7.31€ | 309 205 |
Mar 21, 2024 | 7.37€ | 7.40€ | 7.25€ | 7.25€ | 421 973 |
Mar 20, 2024 | 7.29€ | 7.35€ | 7.27€ | 7.33€ | 411 021 |
Mar 19, 2024 | 7.40€ | 7.42€ | 7.30€ | 7.30€ | 623 528 |
Mar 18, 2024 | 7.61€ | 7.61€ | 7.38€ | 7.40€ | 810 037 |
Mar 15, 2024 | 7.63€ | 7.71€ | 7.61€ | 7.62€ | 1 357 490 |
Mar 14, 2024 | 7.61€ | 7.67€ | 7.61€ | 7.63€ | 272 384 |
Mar 13, 2024 | 7.59€ | 7.67€ | 7.57€ | 7.61€ | 393 821 |
Mar 12, 2024 | 7.56€ | 7.65€ | 7.50€ | 7.59€ | 284 438 |
Mar 11, 2024 | 7.61€ | 7.62€ | 7.47€ | 7.54€ | 335 418 |
Mar 08, 2024 | 7.57€ | 7.59€ | 7.48€ | 7.58€ | 336 816 |
Mar 07, 2024 | 7.66€ | 7.72€ | 7.53€ | 7.57€ | 496 932 |
Mar 06, 2024 | 7.70€ | 7.72€ | 7.63€ | 7.68€ | 362 507 |
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.