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 |
Dec 15, 2023 | 5.62€ | 5.64€ | 5.52€ | 5.53€ | 2 050 153 |
Dec 14, 2023 | 5.42€ | 5.62€ | 5.42€ | 5.61€ | 1 711 756 |
Dec 13, 2023 | 5.37€ | 5.37€ | 5.29€ | 5.32€ | 1 279 681 |
Dec 12, 2023 | 5.39€ | 5.41€ | 5.33€ | 5.36€ | 1 140 201 |
Dec 11, 2023 | 5.40€ | 5.44€ | 5.37€ | 5.40€ | 2 016 094 |
Dec 08, 2023 | 5.29€ | 5.41€ | 5.29€ | 5.39€ | 1 464 448 |
Dec 07, 2023 | 5.27€ | 5.29€ | 5.21€ | 5.28€ | 908 415 |
Dec 06, 2023 | 5.33€ | 5.34€ | 5.28€ | 5.28€ | 527 494 |
Dec 05, 2023 | 5.33€ | 5.36€ | 5.30€ | 5.34€ | 496 995 |
Dec 04, 2023 | 5.41€ | 5.44€ | 5.35€ | 5.36€ | 527 929 |
Dec 01, 2023 | 5.27€ | 5.41€ | 5.26€ | 5.40€ | 2 517 757 |
Nov 30, 2023 | 5.32€ | 5.38€ | 5.23€ | 5.25€ | 3 457 109 |
Nov 29, 2023 | 5.40€ | 5.42€ | 5.32€ | 5.34€ | 470 056 |
Nov 28, 2023 | 5.37€ | 5.40€ | 5.36€ | 5.39€ | 574 291 |
Nov 27, 2023 | 5.41€ | 5.42€ | 5.37€ | 5.39€ | 521 360 |
Nov 24, 2023 | 5.35€ | 5.41€ | 5.35€ | 5.41€ | 511 239 |
Nov 23, 2023 | 5.37€ | 5.38€ | 5.32€ | 5.35€ | 339 275 |
Nov 22, 2023 | 5.34€ | 5.41€ | 5.33€ | 5.38€ | 495 193 |
Nov 21, 2023 | 5.34€ | 5.34€ | 5.29€ | 5.33€ | 448 966 |
Nov 20, 2023 | 5.30€ | 5.37€ | 5.30€ | 5.34€ | 738 699 |
Nov 17, 2023 | 5.35€ | 5.38€ | 5.32€ | 5.32€ | 648 111 |
Nov 16, 2023 | 5.33€ | 5.36€ | 5.31€ | 5.33€ | 572 938 |
Nov 15, 2023 | 5.36€ | 5.39€ | 5.30€ | 5.33€ | 670 548 |
Nov 14, 2023 | 5.25€ | 5.35€ | 5.25€ | 5.35€ | 649 646 |
Nov 13, 2023 | 5.29€ | 5.30€ | 5.24€ | 5.26€ | 468 606 |
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.