PAR:ALNOV
Novacyt S.A. Stock Price (Quote)
0.721€
-0.0030 (-0.414%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.631€ | 0.88€ | Friday, 17th May 2024 ALNOV.PA stock ended at 0.721€. This is 0.414% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.22% from a day low at 0.721€ to a day high of 0.737€. |
90 days | 0.493€ | 0.88€ | |
52 weeks | 0.420€ | 1.00€ |
Date | Open | High | Low | Close | Volume |
Apr 24, 2018 | 0.736€ | 0.742€ | 0.732€ | 0.732€ | 139 210 |
Apr 23, 2018 | 0.738€ | 0.750€ | 0.732€ | 0.744€ | 428 194 |
Apr 20, 2018 | 0.730€ | 0.742€ | 0.724€ | 0.738€ | 237 894 |
Apr 19, 2018 | 0.740€ | 0.748€ | 0.728€ | 0.736€ | 113 067 |
Apr 18, 2018 | 0.758€ | 0.764€ | 0.736€ | 0.740€ | 243 543 |
Apr 17, 2018 | 0.760€ | 0.764€ | 0.744€ | 0.756€ | 50 096 |
Apr 16, 2018 | 0.758€ | 0.758€ | 0.742€ | 0.756€ | 60 513 |
Apr 13, 2018 | 0.766€ | 0.766€ | 0.740€ | 0.742€ | 66 290 |
Apr 12, 2018 | 0.760€ | 0.768€ | 0.742€ | 0.756€ | 108 209 |
Apr 11, 2018 | 0.780€ | 0.782€ | 0.764€ | 0.770€ | 163 566 |
Apr 10, 2018 | 0.770€ | 0.776€ | 0.760€ | 0.774€ | 136 948 |
Apr 09, 2018 | 0.756€ | 0.776€ | 0.756€ | 0.760€ | 307 883 |
Apr 06, 2018 | 0.732€ | 0.756€ | 0.730€ | 0.750€ | 398 274 |
Apr 05, 2018 | 0.720€ | 0.732€ | 0.714€ | 0.732€ | 176 119 |
Apr 04, 2018 | 0.708€ | 0.740€ | 0.702€ | 0.724€ | 311 393 |
Apr 03, 2018 | 0.716€ | 0.716€ | 0.698€ | 0.708€ | 103 447 |
Mar 29, 2018 | 0.708€ | 0.718€ | 0.704€ | 0.714€ | 143 189 |
Mar 28, 2018 | 0.710€ | 0.726€ | 0.702€ | 0.720€ | 166 302 |
Mar 27, 2018 | 0.720€ | 0.720€ | 0.706€ | 0.716€ | 42 249 |
Mar 26, 2018 | 0.710€ | 0.730€ | 0.702€ | 0.714€ | 50 159 |
Mar 23, 2018 | 0.700€ | 0.708€ | 0.692€ | 0.706€ | 281 541 |
Mar 22, 2018 | 0.732€ | 0.742€ | 0.704€ | 0.716€ | 317 540 |
Mar 21, 2018 | 0.728€ | 0.728€ | 0.710€ | 0.720€ | 169 920 |
Mar 20, 2018 | 0.730€ | 0.736€ | 0.714€ | 0.726€ | 222 033 |
Mar 19, 2018 | 0.726€ | 0.736€ | 0.720€ | 0.730€ | 86 008 |
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 ALNOV.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the ALNOV.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 ALNOV.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.