PAR:BOL
Bollore Stock Price (Quote)
6.14€
-0.0200 (-0.325%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 5.99€ | 6.28€ | Monday, 13th May 2024 BOL.PA stock ended at 6.14€. This is 0.325% less than the trading day before Friday, 10th May 2024. During the day the stock fluctuated 1.56% from a day low at 6.11€ to a day high of 6.20€. |
90 days | 5.84€ | 6.43€ | |
52 weeks | 4.93€ | 6.43€ |
Date | Open | High | Low | Close | Volume |
Nov 10, 2023 | 5.32€ | 5.34€ | 5.25€ | 5.27€ | 510 619 |
Nov 09, 2023 | 5.28€ | 5.34€ | 5.28€ | 5.33€ | 575 205 |
Nov 08, 2023 | 5.21€ | 5.29€ | 5.21€ | 5.28€ | 1 643 406 |
Nov 07, 2023 | 5.20€ | 5.25€ | 5.19€ | 5.22€ | 995 497 |
Nov 06, 2023 | 5.22€ | 5.27€ | 5.20€ | 5.20€ | 813 063 |
Nov 03, 2023 | 5.23€ | 5.25€ | 5.18€ | 5.23€ | 667 558 |
Nov 02, 2023 | 5.17€ | 5.27€ | 5.17€ | 5.22€ | 725 994 |
Nov 01, 2023 | 5.17€ | 5.19€ | 5.09€ | 5.15€ | 1 067 689 |
Oct 31, 2023 | 5.12€ | 5.19€ | 5.12€ | 5.15€ | 769 239 |
Oct 30, 2023 | 5.06€ | 5.14€ | 5.06€ | 5.11€ | 977 921 |
Oct 27, 2023 | 5.12€ | 5.12€ | 5.02€ | 5.05€ | 815 785 |
Oct 26, 2023 | 5.11€ | 5.17€ | 5.05€ | 5.12€ | 1 062 313 |
Oct 25, 2023 | 5.08€ | 5.19€ | 5.08€ | 5.15€ | 894 792 |
Oct 24, 2023 | 5.03€ | 5.11€ | 5.02€ | 5.08€ | 795 962 |
Oct 23, 2023 | 5.00€ | 5.05€ | 4.98€ | 5.03€ | 732 934 |
Oct 20, 2023 | 4.99€ | 5.09€ | 4.97€ | 5.02€ | 1 219 380 |
Oct 19, 2023 | 5.12€ | 5.12€ | 5.05€ | 5.06€ | 653 777 |
Oct 18, 2023 | 5.13€ | 5.16€ | 5.11€ | 5.14€ | 870 831 |
Oct 17, 2023 | 5.05€ | 5.14€ | 5.05€ | 5.14€ | 962 496 |
Oct 16, 2023 | 5.11€ | 5.13€ | 5.10€ | 5.10€ | 884 557 |
Oct 13, 2023 | 5.15€ | 5.19€ | 5.10€ | 5.11€ | 1 028 908 |
Oct 12, 2023 | 5.13€ | 5.19€ | 5.13€ | 5.16€ | 1 063 116 |
Oct 11, 2023 | 5.08€ | 5.14€ | 5.08€ | 5.14€ | 1 878 854 |
Oct 10, 2023 | 5.03€ | 5.13€ | 5.03€ | 5.12€ | 744 061 |
Oct 09, 2023 | 5.01€ | 5.04€ | 5.00€ | 5.02€ | 584 492 |
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 BOL.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the BOL.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.
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 BOL.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.