NASDAQ:AIMT
Delisted
Aimmune Therapeutics Stock Price (Quote)
$34.49
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $34.49 | $34.49 | Friday, 27th May 2022 AIMT stock ended at $34.49. During the day the stock fluctuated 0% from a day low at $34.49 to a day high of $34.49. |
90 days | $34.49 | $34.49 | |
52 weeks | $34.49 | $34.49 |
Date | Open | High | Low | Close | Volume |
Dec 12, 2016 | $23.28 | $23.30 | $22.54 | $22.58 | 358 671 |
Dec 09, 2016 | $23.26 | $23.55 | $22.83 | $23.08 | 364 277 |
Dec 08, 2016 | $22.76 | $23.24 | $22.44 | $23.09 | 230 611 |
Dec 07, 2016 | $22.46 | $22.82 | $21.98 | $22.76 | 241 216 |
Dec 06, 2016 | $22.56 | $22.96 | $22.36 | $22.76 | 258 955 |
Dec 05, 2016 | $22.75 | $23.36 | $21.96 | $22.55 | 318 013 |
Dec 02, 2016 | $21.88 | $22.49 | $20.81 | $22.26 | 864 252 |
Dec 01, 2016 | $22.89 | $22.95 | $21.27 | $22.02 | 417 502 |
Nov 30, 2016 | $24.08 | $24.28 | $22.60 | $22.70 | 408 437 |
Nov 29, 2016 | $24.60 | $24.76 | $24.28 | $24.40 | 352 462 |
Nov 28, 2016 | $25.01 | $25.21 | $24.49 | $24.53 | 281 952 |
Nov 25, 2016 | $25.09 | $25.48 | $24.69 | $24.90 | 205 053 |
Nov 23, 2016 | $24.80 | $25.14 | $24.46 | $24.90 | 444 812 |
Nov 22, 2016 | $25.00 | $25.20 | $24.42 | $24.94 | 417 513 |
Nov 21, 2016 | $24.57 | $25.50 | $24.03 | $24.99 | 307 807 |
Nov 18, 2016 | $25.49 | $25.50 | $24.27 | $24.62 | 299 939 |
Nov 17, 2016 | $25.89 | $26.52 | $25.12 | $25.47 | 436 831 |
Nov 16, 2016 | $25.95 | $26.95 | $25.50 | $25.74 | 241 540 |
Nov 15, 2016 | $25.00 | $26.99 | $23.87 | $26.20 | 590 700 |
Nov 14, 2016 | $25.80 | $27.31 | $25.28 | $26.70 | 742 964 |
Nov 11, 2016 | $24.97 | $26.27 | $24.50 | $25.50 | 569 750 |
Nov 10, 2016 | $23.62 | $25.00 | $23.19 | $24.52 | 413 968 |
Nov 09, 2016 | $20.63 | $23.62 | $20.56 | $23.46 | 401 658 |
Nov 08, 2016 | $20.64 | $20.64 | $20.64 | $20.64 | 352 843 |
Nov 07, 2016 | $19.44 | $19.44 | $19.44 | $19.44 | 226 900 |
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 AIMT stock historical prices to predict future price movements?
Trend Analysis: Examine the AIMT 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 AIMT 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.