PAR:BNP
BNP Paribas SA Stock Price (Quote)
67.70€
-0.0900 (-0.133%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 66.23€ | 73.08€ | Friday, 31st May 2024 BNP.PA stock ended at 67.70€. This is 0.133% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.28% from a day low at 67.37€ to a day high of 68.23€. |
90 days | 56.17€ | 73.08€ | |
52 weeks | 52.82€ | 73.08€ |
Historical BNP Paribas SA prices
Date | Open | High | Low | Close | Volume |
Apr 25, 2024 | 68.68€ | 69.55€ | 67.58€ | 68.36€ | 3 638 561 |
Apr 24, 2024 | 67.77€ | 68.48€ | 67.37€ | 67.73€ | 3 367 663 |
Apr 23, 2024 | 66.80€ | 68.15€ | 66.80€ | 68.05€ | 3 112 172 |
Apr 22, 2024 | 66.10€ | 66.78€ | 65.75€ | 66.62€ | 2 691 459 |
Apr 19, 2024 | 64.78€ | 65.73€ | 64.41€ | 65.43€ | 2 722 009 |
Apr 18, 2024 | 64.98€ | 65.54€ | 64.65€ | 65.46€ | 2 716 710 |
Apr 17, 2024 | 63.92€ | 64.98€ | 63.84€ | 64.15€ | 2 277 500 |
Apr 16, 2024 | 64.46€ | 64.72€ | 63.66€ | 63.83€ | 3 485 230 |
Apr 15, 2024 | 65.36€ | 66.59€ | 65.33€ | 65.77€ | 2 592 068 |
Apr 12, 2024 | 65.99€ | 66.44€ | 65.12€ | 65.36€ | 2 351 756 |
Apr 11, 2024 | 66.52€ | 67.15€ | 64.80€ | 65.51€ | 3 214 765 |
Apr 10, 2024 | 67.07€ | 67.54€ | 66.12€ | 66.73€ | 2 452 350 |
Apr 09, 2024 | 66.91€ | 67.39€ | 66.52€ | 66.64€ | 2 233 616 |
Apr 08, 2024 | 66.52€ | 67.31€ | 66.47€ | 66.99€ | 1 847 356 |
Apr 05, 2024 | 66.23€ | 66.68€ | 65.91€ | 66.55€ | 2 913 205 |
Apr 04, 2024 | 66.80€ | 67.60€ | 66.80€ | 67.16€ | 2 583 051 |
Apr 03, 2024 | 65.40€ | 66.89€ | 65.29€ | 66.53€ | 3 081 188 |
Apr 02, 2024 | 65.80€ | 66.60€ | 65.18€ | 65.42€ | 2 995 647 |
Mar 28, 2024 | 64.92€ | 65.93€ | 64.90€ | 65.86€ | 3 467 964 |
Mar 27, 2024 | 64.31€ | 65.35€ | 64.04€ | 64.67€ | 2 891 033 |
Mar 26, 2024 | 63.25€ | 64.40€ | 63.25€ | 64.31€ | 3 717 066 |
Mar 25, 2024 | 62.72€ | 63.19€ | 62.49€ | 62.49€ | 2 176 630 |
Mar 22, 2024 | 63.15€ | 63.62€ | 62.75€ | 62.80€ | 2 715 480 |
Mar 21, 2024 | 62.39€ | 63.02€ | 62.09€ | 62.64€ | 3 666 581 |
Mar 20, 2024 | 61.88€ | 62.17€ | 61.45€ | 61.93€ | 2 885 055 |
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 BNP.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the BNP.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 BNP.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.