AMS:BFIT
Basic-Fit NV Stock Price (Quote)
20.02€
+0 (+0%)
At Close: Jun 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 19.85€ | 22.76€ | Monday, 17th Jun 2024 BFIT.AS stock ended at 20.02€. During the day the stock fluctuated 2.07% from a day low at 19.85€ to a day high of 20.26€. |
90 days | 19.06€ | 22.80€ | |
52 weeks | 19.06€ | 35.98€ |
Historical Basic-Fit NV prices
Date | Open | High | Low | Close | Volume |
Apr 13, 2023 | 37.00€ | 37.96€ | 37.00€ | 37.74€ | 83 206 |
Apr 12, 2023 | 36.64€ | 37.50€ | 36.32€ | 37.22€ | 79 384 |
Apr 11, 2023 | 37.00€ | 37.24€ | 36.44€ | 36.82€ | 83 835 |
Apr 06, 2023 | 37.30€ | 37.52€ | 36.72€ | 36.88€ | 142 646 |
Apr 05, 2023 | 38.00€ | 38.08€ | 36.70€ | 36.86€ | 83 585 |
Apr 04, 2023 | 36.92€ | 37.72€ | 36.80€ | 37.58€ | 93 775 |
Apr 03, 2023 | 36.20€ | 37.08€ | 36.18€ | 36.60€ | 102 490 |
Mar 31, 2023 | 36.40€ | 36.60€ | 36.20€ | 36.32€ | 135 426 |
Mar 30, 2023 | 36.68€ | 37.44€ | 36.48€ | 36.50€ | 151 623 |
Mar 29, 2023 | 35.74€ | 36.66€ | 35.70€ | 36.18€ | 84 470 |
Mar 28, 2023 | 36.50€ | 36.50€ | 35.36€ | 35.64€ | 68 407 |
Mar 27, 2023 | 35.80€ | 36.20€ | 35.56€ | 36.18€ | 82 570 |
Mar 24, 2023 | 36.80€ | 36.86€ | 35.46€ | 35.50€ | 100 555 |
Mar 23, 2023 | 36.00€ | 37.00€ | 35.46€ | 37.00€ | 139 406 |
Mar 22, 2023 | 35.06€ | 36.26€ | 34.92€ | 36.26€ | 149 597 |
Mar 21, 2023 | 34.80€ | 35.42€ | 34.34€ | 34.94€ | 197 550 |
Mar 20, 2023 | 35.52€ | 35.52€ | 34.46€ | 34.78€ | 117 608 |
Mar 17, 2023 | 35.94€ | 37.00€ | 35.24€ | 35.70€ | 181 507 |
Mar 16, 2023 | 35.50€ | 35.84€ | 34.92€ | 35.56€ | 194 981 |
Mar 15, 2023 | 35.52€ | 35.52€ | 34.60€ | 35.06€ | 180 070 |
Mar 14, 2023 | 34.40€ | 36.06€ | 34.34€ | 35.54€ | 253 101 |
Mar 13, 2023 | 34.50€ | 35.36€ | 32.54€ | 34.14€ | 251 136 |
Mar 10, 2023 | 33.50€ | 33.50€ | 32.32€ | 33.06€ | 238 984 |
Mar 09, 2023 | 34.00€ | 34.10€ | 33.46€ | 33.90€ | 138 483 |
Mar 08, 2023 | 34.40€ | 34.46€ | 33.40€ | 34.00€ | 152 588 |
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 BFIT.AS stock historical prices to predict future price movements?
Trend Analysis: Examine the BFIT.AS 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 BFIT.AS 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.