NASDAQ:ADMS
Delisted
Adamas Pharmaceuticals Stock Price (Quote)
$8.22
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.22 | $8.22 | Friday, 27th May 2022 ADMS stock ended at $8.22. During the day the stock fluctuated 0% from a day low at $8.22 to a day high of $8.22. |
90 days | $8.22 | $8.22 | |
52 weeks | $4.02 | $8.25 |
Historical Adamas Pharmaceuticals prices
Date | Open | High | Low | Close | Volume |
Jan 07, 2021 | $4.55 | $4.86 | $4.55 | $4.79 | 418 282 |
Jan 06, 2021 | $4.70 | $4.86 | $4.55 | $4.57 | 176 488 |
Jan 05, 2021 | $4.53 | $4.73 | $4.46 | $4.63 | 126 067 |
Jan 04, 2021 | $4.39 | $4.53 | $4.23 | $4.48 | 84 671 |
Dec 31, 2020 | $4.58 | $4.61 | $4.30 | $4.33 | 111 517 |
Dec 30, 2020 | $4.18 | $4.55 | $4.11 | $4.53 | 153 101 |
Dec 29, 2020 | $4.26 | $4.34 | $4.11 | $4.15 | 135 310 |
Dec 28, 2020 | $4.62 | $4.62 | $4.28 | $4.31 | 154 994 |
Dec 24, 2020 | $4.61 | $4.72 | $4.45 | $4.58 | 68 779 |
Dec 23, 2020 | $4.73 | $4.92 | $4.50 | $4.58 | 136 085 |
Dec 22, 2020 | $4.96 | $5.00 | $4.70 | $4.71 | 173 848 |
Dec 21, 2020 | $4.94 | $4.98 | $4.75 | $4.93 | 163 372 |
Dec 18, 2020 | $5.15 | $5.23 | $4.94 | $5.03 | 137 079 |
Dec 17, 2020 | $5.18 | $5.30 | $5.10 | $5.11 | 83 606 |
Dec 16, 2020 | $5.02 | $5.40 | $5.00 | $5.12 | 256 254 |
Dec 15, 2020 | $4.89 | $5.08 | $4.81 | $5.02 | 219 088 |
Dec 14, 2020 | $4.86 | $4.99 | $4.77 | $4.82 | 124 397 |
Dec 11, 2020 | $4.95 | $5.05 | $4.80 | $4.86 | 120 247 |
Dec 10, 2020 | $4.97 | $5.18 | $4.89 | $4.93 | 652 569 |
Dec 09, 2020 | $4.98 | $5.09 | $4.83 | $4.96 | 161 345 |
Dec 08, 2020 | $4.82 | $4.98 | $4.70 | $4.95 | 250 888 |
Dec 07, 2020 | $4.89 | $5.13 | $4.83 | $4.88 | 189 537 |
Dec 04, 2020 | $4.85 | $4.95 | $4.76 | $4.89 | 198 026 |
Dec 03, 2020 | $4.80 | $4.90 | $4.78 | $4.80 | 146 320 |
Dec 02, 2020 | $4.40 | $4.85 | $4.32 | $4.77 | 390 945 |
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 ADMS stock historical prices to predict future price movements?
Trend Analysis: Examine the ADMS 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 ADMS 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.