AMS:FLOW
Flow Traders NV Stock Price (Quote)
19.52€
-0.0700 (-0.357%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 18.64€ | 20.96€ | Thursday, 16th May 2024 FLOW.AS stock ended at 19.52€. This is 0.357% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 1.76% from a day low at 19.35€ to a day high of 19.69€. |
90 days | 16.14€ | 20.96€ | |
52 weeks | 15.78€ | 22.08€ |
Date | Open | High | Low | Close | Volume |
Nov 15, 2023 | 17.36€ | 17.65€ | 17.36€ | 17.41€ | 111 629 |
Nov 14, 2023 | 16.97€ | 17.38€ | 16.86€ | 17.36€ | 130 401 |
Nov 13, 2023 | 16.96€ | 17.04€ | 16.84€ | 17.00€ | 111 981 |
Nov 10, 2023 | 17.12€ | 17.12€ | 16.82€ | 16.96€ | 93 535 |
Nov 09, 2023 | 16.90€ | 17.24€ | 16.85€ | 17.24€ | 171 397 |
Nov 08, 2023 | 17.00€ | 17.11€ | 16.90€ | 16.96€ | 114 261 |
Nov 07, 2023 | 17.31€ | 17.41€ | 17.14€ | 17.22€ | 109 718 |
Nov 06, 2023 | 17.56€ | 17.65€ | 17.40€ | 17.41€ | 84 372 |
Nov 03, 2023 | 17.23€ | 17.69€ | 17.23€ | 17.59€ | 124 253 |
Nov 02, 2023 | 17.41€ | 17.58€ | 17.26€ | 17.26€ | 164 719 |
Nov 01, 2023 | 17.34€ | 17.59€ | 17.31€ | 17.41€ | 93 197 |
Oct 31, 2023 | 17.05€ | 17.34€ | 17.05€ | 17.27€ | 176 499 |
Oct 30, 2023 | 16.91€ | 17.21€ | 16.81€ | 17.11€ | 166 076 |
Oct 27, 2023 | 17.00€ | 17.38€ | 16.72€ | 16.95€ | 267 728 |
Oct 26, 2023 | 16.60€ | 17.54€ | 16.60€ | 17.15€ | 470 011 |
Oct 25, 2023 | 16.21€ | 16.27€ | 15.88€ | 16.08€ | 177 103 |
Oct 24, 2023 | 16.19€ | 16.40€ | 16.03€ | 16.26€ | 136 602 |
Oct 23, 2023 | 16.31€ | 16.37€ | 15.84€ | 16.17€ | 178 276 |
Oct 20, 2023 | 16.32€ | 16.45€ | 16.21€ | 16.38€ | 117 490 |
Oct 19, 2023 | 16.38€ | 16.48€ | 16.21€ | 16.37€ | 78 053 |
Oct 18, 2023 | 16.55€ | 16.62€ | 16.14€ | 16.20€ | 140 040 |
Oct 17, 2023 | 16.41€ | 16.56€ | 16.21€ | 16.50€ | 106 063 |
Oct 16, 2023 | 16.43€ | 16.57€ | 16.40€ | 16.48€ | 123 152 |
Oct 13, 2023 | 16.54€ | 16.60€ | 16.20€ | 16.36€ | 169 085 |
Oct 12, 2023 | 16.70€ | 16.90€ | 16.60€ | 16.62€ | 120 745 |
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 FLOW.AS stock historical prices to predict future price movements?
Trend Analysis: Examine the FLOW.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 FLOW.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.