NASDAQ:ADN
Advent Technologies Stock Price (Quote)
$3.25
-0.100 (-2.99%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.101 | $3.46 | Friday, 17th May 2024 ADN stock ended at $3.25. This is 2.99% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.24% from a day low at $3.17 to a day high of $3.46. |
90 days | $0.101 | $3.46 | |
52 weeks | $0.101 | $3.46 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | $0.580 | $0.630 | $0.480 | $0.515 | 3 774 883 |
Nov 15, 2023 | $0.460 | $0.480 | $0.440 | $0.460 | 202 274 |
Nov 14, 2023 | $0.460 | $0.460 | $0.412 | $0.440 | 328 800 |
Nov 13, 2023 | $0.440 | $0.440 | $0.400 | $0.434 | 182 962 |
Nov 10, 2023 | $0.440 | $0.466 | $0.398 | $0.420 | 103 649 |
Nov 09, 2023 | $0.450 | $0.450 | $0.420 | $0.429 | 199 308 |
Nov 08, 2023 | $0.500 | $0.500 | $0.430 | $0.444 | 264 252 |
Nov 07, 2023 | $0.520 | $0.520 | $0.470 | $0.485 | 180 516 |
Nov 06, 2023 | $0.505 | $0.560 | $0.480 | $0.480 | 1 468 423 |
Nov 03, 2023 | $0.476 | $0.480 | $0.461 | $0.480 | 219 591 |
Nov 02, 2023 | $0.406 | $0.490 | $0.406 | $0.462 | 958 262 |
Nov 01, 2023 | $0.360 | $0.397 | $0.353 | $0.376 | 393 797 |
Oct 31, 2023 | $0.370 | $0.380 | $0.350 | $0.359 | 594 367 |
Oct 30, 2023 | $0.370 | $0.386 | $0.350 | $0.359 | 153 085 |
Oct 27, 2023 | $0.380 | $0.389 | $0.365 | $0.370 | 132 269 |
Oct 26, 2023 | $0.362 | $0.390 | $0.360 | $0.369 | 204 292 |
Oct 25, 2023 | $0.371 | $0.390 | $0.350 | $0.359 | 138 695 |
Oct 24, 2023 | $0.358 | $0.379 | $0.358 | $0.368 | 151 398 |
Oct 23, 2023 | $0.360 | $0.379 | $0.352 | $0.360 | 139 609 |
Oct 20, 2023 | $0.375 | $0.390 | $0.356 | $0.361 | 305 200 |
Oct 19, 2023 | $0.416 | $0.416 | $0.385 | $0.390 | 140 625 |
Oct 18, 2023 | $0.441 | $0.441 | $0.410 | $0.414 | 102 136 |
Oct 17, 2023 | $0.440 | $0.440 | $0.415 | $0.420 | 101 035 |
Oct 16, 2023 | $0.434 | $0.434 | $0.420 | $0.430 | 132 956 |
Oct 13, 2023 | $0.495 | $0.495 | $0.410 | $0.413 | 259 830 |
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 ADN stock historical prices to predict future price movements?
Trend Analysis: Examine the ADN 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 ADN 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.