NASDAQ:ACMR
ACM Research Inc. Class A Stock Price (Quote)
$23.34
-0.460 (-1.93%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $22.45 | $29.17 | Monday, 20th May 2024 ACMR stock ended at $23.34. This is 1.93% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 4.29% from a day low at $23.13 to a day high of $24.12. |
90 days | $17.82 | $34.40 | |
52 weeks | $9.18 | $34.40 |
Date | Open | High | Low | Close | Volume |
May 22, 2023 | $9.69 | $9.96 | $9.69 | $9.84 | 423 320 |
May 19, 2023 | $9.82 | $9.95 | $9.69 | $9.73 | 422 665 |
May 18, 2023 | $10.00 | $10.14 | $9.71 | $9.75 | 378 466 |
May 17, 2023 | $9.71 | $10.09 | $9.70 | $9.96 | 569 954 |
May 16, 2023 | $9.61 | $9.92 | $9.60 | $9.70 | 577 658 |
May 15, 2023 | $9.26 | $9.84 | $9.15 | $9.69 | 902 007 |
May 12, 2023 | $9.74 | $9.83 | $9.10 | $9.15 | 663 960 |
May 11, 2023 | $9.42 | $9.87 | $9.40 | $9.73 | 469 692 |
May 10, 2023 | $10.18 | $10.20 | $9.40 | $9.45 | 805 225 |
May 09, 2023 | $9.92 | $10.18 | $9.79 | $9.94 | 516 549 |
May 08, 2023 | $9.61 | $10.26 | $9.45 | $10.07 | 915 277 |
May 05, 2023 | $10.33 | $11.25 | $10.12 | $10.47 | 1 178 279 |
May 04, 2023 | $9.08 | $9.08 | $8.75 | $8.88 | 445 134 |
May 03, 2023 | $9.20 | $9.41 | $9.13 | $9.14 | 319 735 |
May 02, 2023 | $9.35 | $9.59 | $9.10 | $9.19 | 441 282 |
May 01, 2023 | $9.42 | $9.71 | $9.29 | $9.34 | 331 121 |
Apr 28, 2023 | $9.38 | $9.45 | $9.02 | $9.35 | 490 803 |
Apr 27, 2023 | $9.56 | $9.60 | $9.18 | $9.34 | 562 883 |
Apr 26, 2023 | $9.69 | $9.92 | $9.52 | $9.56 | 445 017 |
Apr 25, 2023 | $10.13 | $10.13 | $9.58 | $9.61 | 605 566 |
Apr 24, 2023 | $10.44 | $10.44 | $10.07 | $10.26 | 344 471 |
Apr 21, 2023 | $10.75 | $10.78 | $10.38 | $10.44 | 458 856 |
Apr 20, 2023 | $10.33 | $11.28 | $10.26 | $10.89 | 610 382 |
Apr 19, 2023 | $10.15 | $10.53 | $10.15 | $10.49 | 332 581 |
Apr 18, 2023 | $10.77 | $10.77 | $10.31 | $10.39 | 284 200 |
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 ACMR stock historical prices to predict future price movements?
Trend Analysis: Examine the ACMR 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 ACMR 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.