NASDAQ:ACHN
Delisted
Achillion Pharmaceuticals Stock Price (Quote)
$6.76
+0 (+0%)
At Close: Apr 15, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.76 | $6.76 | Wednesday, 15th Apr 2020 ACHN stock ended at $6.76. During the day the stock fluctuated 0% from a day low at $6.76 to a day high of $6.76. |
90 days | $6.10 | $7.02 | |
52 weeks | $2.35 | $7.02 |
Date | Open | High | Low | Close | Volume |
Apr 26, 2016 | $8.88 | $8.88 | $8.88 | $8.88 | 863 953 |
Apr 25, 2016 | $9.14 | $9.14 | $9.14 | $9.14 | 1 107 195 |
Apr 22, 2016 | $9.10 | $9.10 | $9.10 | $9.10 | 2 030 831 |
Apr 21, 2016 | $9.03 | $9.03 | $9.03 | $9.03 | 1 837 662 |
Apr 20, 2016 | $8.43 | $8.43 | $8.43 | $8.43 | 1 316 265 |
Apr 19, 2016 | $8.45 | $8.45 | $8.45 | $8.45 | 956 972 |
Apr 18, 2016 | $8.65 | $8.65 | $8.65 | $8.65 | 1 085 399 |
Apr 15, 2016 | $8.60 | $8.60 | $8.60 | $8.60 | 1 216 580 |
Apr 14, 2016 | $8.52 | $8.52 | $8.52 | $8.52 | 1 054 783 |
Apr 13, 2016 | $8.36 | $8.36 | $8.36 | $8.36 | 966 291 |
Apr 12, 2016 | $8.12 | $8.12 | $8.12 | $8.12 | 1 268 415 |
Apr 11, 2016 | $7.88 | $7.88 | $7.88 | $7.88 | 983 415 |
Apr 08, 2016 | $8.05 | $8.05 | $8.05 | $8.05 | 960 804 |
Apr 07, 2016 | $8.05 | $8.05 | $8.05 | $8.05 | 1 573 569 |
Apr 06, 2016 | $8.19 | $8.19 | $8.19 | $8.19 | 1 999 109 |
Apr 05, 2016 | $7.89 | $7.89 | $7.89 | $7.89 | 1 003 908 |
Apr 04, 2016 | $7.85 | $7.85 | $7.85 | $7.85 | 1 781 458 |
Apr 01, 2016 | $7.92 | $7.92 | $7.92 | $7.92 | 1 877 187 |
Mar 31, 2016 | $7.72 | $7.72 | $7.72 | $7.72 | 1 815 802 |
Mar 30, 2016 | $7.51 | $7.51 | $7.51 | $7.51 | 1 392 816 |
Mar 29, 2016 | $7.56 | $7.56 | $7.56 | $7.56 | 1 440 800 |
Mar 28, 2016 | $7.29 | $7.29 | $7.29 | $7.29 | 851 300 |
Mar 24, 2016 | $7.38 | $7.38 | $7.38 | $7.38 | 1 172 200 |
Mar 23, 2016 | $7.15 | $7.15 | $7.15 | $7.15 | 1 204 700 |
Mar 22, 2016 | $7.44 | $7.44 | $7.44 | $7.44 | 1 360 100 |
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 ACHN stock historical prices to predict future price movements?
Trend Analysis: Examine the ACHN 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 ACHN 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.