CRYPTO:GLMUSD
Golem / US Dollar Cryptocurrency Price (Quote)
$0.496
-0.0104 (-2.05%)
At Close: Jun 01, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.432 | $0.643 | Saturday, 1st Jun 2024 GLMUSD stock ended at $0.496. This is 2.05% less than the trading day before Friday, 31st May 2024. During the day the stock fluctuated 1.96% from a day low at $0.495 to a day high of $0.504. |
90 days | $0.334 | $0.777 | |
52 weeks | $0.158 | $0.777 |
Historical Golem / US Dollar prices
Date | Open | High | Low | Close | Volume |
Feb 22, 2024 | $0.367 | $0.410 | $0.352 | $0.368 | 143 916 440 |
Feb 21, 2024 | $0.248 | $0.389 | $0.244 | $0.346 | 73 492 968 |
Feb 20, 2024 | $0.247 | $0.385 | $0.236 | $0.345 | 489 214 912 |
Feb 19, 2024 | $0.233 | $0.253 | $0.231 | $0.246 | 3 382 762 |
Feb 18, 2024 | $0.232 | $0.276 | $0.231 | $0.254 | 37 373 500 |
Feb 17, 2024 | $0.222 | $0.228 | $0.219 | $0.223 | 986 314 |
Feb 16, 2024 | $0.221 | $0.226 | $0.220 | $0.225 | 5 627 447 |
Feb 15, 2024 | $0.215 | $0.223 | $0.213 | $0.220 | 672 702 |
Feb 14, 2024 | $0.214 | $0.221 | $0.213 | $0.219 | 3 707 038 |
Feb 13, 2024 | $0.216 | $0.224 | $0.211 | $0.218 | 579 618 |
Feb 12, 2024 | $0.217 | $0.222 | $0.212 | $0.220 | 4 257 285 |
Feb 11, 2024 | $0.216 | $0.233 | $0.212 | $0.217 | 7 190 517 |
Feb 10, 2024 | $0.213 | $0.217 | $0.212 | $0.215 | 3 586 544 |
Feb 09, 2024 | $0.208 | $0.215 | $0.207 | $0.214 | 3 022 508 |
Feb 08, 2024 | $0.207 | $0.208 | $0.205 | $0.207 | 3 188 337 |
Feb 07, 2024 | $0.202 | $0.207 | $0.201 | $0.206 | 271 987 |
Feb 06, 2024 | $0.201 | $0.206 | $0.201 | $0.204 | 2 847 958 |
Feb 05, 2024 | $0.205 | $0.207 | $0.202 | $0.204 | 170 959 |
Feb 02, 2024 | $0.206 | $0.207 | $0.205 | $0.206 | 2 447 854 |
Feb 01, 2024 | $0.212 | $0.213 | $0.206 | $0.207 | 428 465 |
Jan 31, 2024 | $0.213 | $0.214 | $0.206 | $0.206 | 3 287 662 |
Jan 30, 2024 | $0.211 | $0.217 | $0.209 | $0.216 | 323 412 |
Jan 29, 2024 | $0.210 | $0.217 | $0.210 | $0.217 | 3 083 497 |
Jan 26, 2024 | $0.205 | $0.208 | $0.202 | $0.205 | 604 272 |
Jan 25, 2024 | $0.207 | $0.207 | $0.203 | $0.205 | 5 115 990 |
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 GLMUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the GLMUSD 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 GLMUSD 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.