NASDAQ:AXNX
Axonics Modulation Technologies Inc. Stock Price (Quote)
$67.20
-0.140 (-0.208%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $66.59 | $67.89 | Friday, 14th Jun 2024 AXNX stock ended at $67.20. This is 0.208% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 0.702% from a day low at $66.97 to a day high of $67.44. |
90 days | $66.32 | $69.67 | |
52 weeks | $47.94 | $69.67 |
Historical Axonics Modulation Technologies Inc. prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | $67.01 | $67.44 | $66.97 | $67.20 | 197 561 |
Jun 13, 2024 | $66.90 | $67.44 | $66.68 | $67.34 | 296 342 |
Jun 12, 2024 | $67.20 | $67.29 | $66.86 | $67.00 | 268 135 |
Jun 11, 2024 | $67.00 | $67.12 | $66.60 | $67.00 | 381 677 |
Jun 10, 2024 | $67.13 | $67.24 | $66.71 | $67.04 | 425 095 |
Jun 07, 2024 | $67.14 | $67.89 | $66.95 | $67.08 | 354 238 |
Jun 06, 2024 | $66.97 | $67.35 | $66.97 | $67.13 | 118 646 |
Jun 05, 2024 | $67.08 | $67.31 | $66.81 | $67.18 | 154 768 |
Jun 04, 2024 | $66.80 | $67.08 | $66.75 | $66.86 | 323 684 |
Jun 03, 2024 | $67.19 | $67.19 | $66.59 | $66.80 | 469 631 |
May 31, 2024 | $67.15 | $67.30 | $66.75 | $67.09 | 345 569 |
May 30, 2024 | $67.01 | $67.18 | $66.92 | $67.13 | 290 967 |
May 29, 2024 | $67.10 | $67.34 | $66.86 | $67.01 | 380 393 |
May 28, 2024 | $67.17 | $67.21 | $66.97 | $67.13 | 292 260 |
May 24, 2024 | $67.50 | $67.50 | $67.14 | $67.22 | 284 108 |
May 23, 2024 | $67.55 | $67.63 | $66.98 | $67.33 | 544 759 |
May 22, 2024 | $67.70 | $67.73 | $67.51 | $67.63 | 393 771 |
May 21, 2024 | $67.54 | $67.68 | $67.52 | $67.59 | 248 419 |
May 20, 2024 | $67.69 | $67.69 | $67.32 | $67.54 | 155 724 |
May 17, 2024 | $67.76 | $67.76 | $67.34 | $67.55 | 213 271 |
May 16, 2024 | $67.67 | $67.73 | $67.56 | $67.67 | 148 481 |
May 15, 2024 | $67.75 | $67.75 | $67.40 | $67.69 | 227 196 |
May 14, 2024 | $67.80 | $67.80 | $67.15 | $67.45 | 396 057 |
May 13, 2024 | $67.50 | $67.65 | $67.20 | $67.33 | 313 796 |
May 10, 2024 | $67.45 | $67.59 | $67.23 | $67.43 | 227 407 |
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 AXNX stock historical prices to predict future price movements?
Trend Analysis: Examine the AXNX 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 AXNX 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.