NASDAQ:GLYC
GlycoMimetics Stock Price (Quote)
$0.270
-0.0032 (-1.17%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.256 | $1.99 | Friday, 24th May 2024 GLYC stock ended at $0.270. This is 1.17% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 6.71% from a day low at $0.264 to a day high of $0.282. |
90 days | $0.256 | $3.18 | |
52 weeks | $0.256 | $3.53 |
Date | Open | High | Low | Close | Volume |
Mar 24, 2020 | $2.22 | $2.39 | $2.14 | $2.23 | 677 188 |
Mar 23, 2020 | $2.08 | $2.43 | $2.01 | $2.15 | 1 869 175 |
Mar 20, 2020 | $2.01 | $2.16 | $1.96 | $2.08 | 613 149 |
Mar 19, 2020 | $1.88 | $2.01 | $1.88 | $2.00 | 444 843 |
Mar 18, 2020 | $2.10 | $2.17 | $1.82 | $1.83 | 258 707 |
Mar 17, 2020 | $1.97 | $2.22 | $1.94 | $2.21 | 494 070 |
Mar 16, 2020 | $1.90 | $2.38 | $1.85 | $1.92 | 556 473 |
Mar 13, 2020 | $2.75 | $2.87 | $2.45 | $2.54 | 298 378 |
Mar 12, 2020 | $2.75 | $2.87 | $2.62 | $2.65 | 155 947 |
Mar 11, 2020 | $3.10 | $3.17 | $2.93 | $2.94 | 219 327 |
Mar 10, 2020 | $3.28 | $3.44 | $3.05 | $3.10 | 239 195 |
Mar 09, 2020 | $3.34 | $3.43 | $3.04 | $3.22 | 266 415 |
Mar 06, 2020 | $3.39 | $3.51 | $3.39 | $3.47 | 127 414 |
Mar 05, 2020 | $3.40 | $3.51 | $3.40 | $3.49 | 169 204 |
Mar 04, 2020 | $3.60 | $3.60 | $3.44 | $3.50 | 340 556 |
Mar 03, 2020 | $3.52 | $3.61 | $3.36 | $3.47 | 278 310 |
Mar 02, 2020 | $3.47 | $3.59 | $3.40 | $3.51 | 222 233 |
Feb 28, 2020 | $3.34 | $3.81 | $3.12 | $3.61 | 261 014 |
Feb 27, 2020 | $3.57 | $3.71 | $3.46 | $3.49 | 219 205 |
Feb 26, 2020 | $3.77 | $3.82 | $3.56 | $3.66 | 230 796 |
Feb 25, 2020 | $3.99 | $3.99 | $3.75 | $3.77 | 113 574 |
Feb 24, 2020 | $4.02 | $4.12 | $3.88 | $3.97 | 124 258 |
Feb 21, 2020 | $4.20 | $4.21 | $4.08 | $4.10 | 123 013 |
Feb 20, 2020 | $4.21 | $4.28 | $4.09 | $4.21 | 98 279 |
Feb 19, 2020 | $4.32 | $4.34 | $4.22 | $4.23 | 110 939 |
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 GLYC stock historical prices to predict future price movements?
Trend Analysis: Examine the GLYC 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 GLYC 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.