NYSE:AYX
Delisted
Alteryx Inc. Class A Stock Price (Quote)
$48.26
+0 (+0%)
At Close: Apr 11, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $48.23 | $48.27 | Thursday, 11th Apr 2024 AYX stock ended at $48.26. During the day the stock fluctuated 0% from a day low at $48.26 to a day high of $48.26. |
90 days | $47.22 | $48.27 | |
52 weeks | $27.95 | $55.03 |
Date | Open | High | Low | Close | Volume |
Nov 29, 2017 | $26.72 | $27.15 | $24.64 | $24.79 | 816 648 |
Nov 28, 2017 | $27.35 | $27.43 | $26.64 | $26.65 | 431 851 |
Nov 27, 2017 | $27.32 | $27.57 | $26.79 | $27.32 | 436 525 |
Nov 24, 2017 | $27.19 | $27.54 | $27.12 | $27.22 | 177 125 |
Nov 22, 2017 | $27.01 | $27.45 | $26.35 | $27.17 | 439 795 |
Nov 21, 2017 | $27.25 | $27.55 | $26.46 | $27.12 | 479 854 |
Nov 20, 2017 | $25.88 | $27.59 | $25.84 | $27.45 | 860 362 |
Nov 17, 2017 | $25.87 | $26.43 | $25.55 | $25.69 | 462 878 |
Nov 16, 2017 | $25.30 | $27.02 | $24.98 | $26.00 | 1 139 530 |
Nov 15, 2017 | $24.50 | $25.49 | $24.31 | $25.23 | 484 247 |
Nov 14, 2017 | $25.00 | $25.74 | $24.26 | $25.02 | 518 400 |
Nov 13, 2017 | $25.05 | $26.87 | $24.91 | $25.25 | 584 798 |
Nov 10, 2017 | $23.48 | $26.89 | $23.00 | $25.30 | 2 014 751 |
Nov 09, 2017 | $21.53 | $22.00 | $21.15 | $21.84 | 371 492 |
Nov 08, 2017 | $21.54 | $21.87 | $21.31 | $21.76 | 252 273 |
Nov 07, 2017 | $22.12 | $22.14 | $21.45 | $21.60 | 257 853 |
Nov 06, 2017 | $21.97 | $22.58 | $21.97 | $22.05 | 131 264 |
Nov 03, 2017 | $22.52 | $22.54 | $21.95 | $22.00 | 141 639 |
Nov 02, 2017 | $22.38 | $22.84 | $22.26 | $22.53 | 102 863 |
Nov 01, 2017 | $22.60 | $22.60 | $22.16 | $22.47 | 143 040 |
Oct 31, 2017 | $22.01 | $22.60 | $22.01 | $22.59 | 143 860 |
Oct 30, 2017 | $22.11 | $22.19 | $21.59 | $22.07 | 174 354 |
Oct 27, 2017 | $22.20 | $22.27 | $21.84 | $22.22 | 103 274 |
Oct 26, 2017 | $22.05 | $22.05 | $21.69 | $21.98 | 123 580 |
Oct 25, 2017 | $22.36 | $22.44 | $21.60 | $22.03 | 199 425 |
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 AYX stock historical prices to predict future price movements?
Trend Analysis: Examine the AYX 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 AYX 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.