NYSE:GSAT
Globalstar Inc Stock Price (Quote)
$1.20
+0.0300 (+2.56%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.12 | $1.34 | Tuesday, 14th May 2024 GSAT stock ended at $1.20. This is 2.56% more than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 3.42% from a day low at $1.17 to a day high of $1.21. |
90 days | $1.12 | $1.78 | |
52 weeks | $0.96 | $2.13 |
Date | Open | High | Low | Close | Volume |
Apr 09, 2024 | $1.33 | $1.37 | $1.33 | $1.35 | 2 458 940 |
Apr 08, 2024 | $1.34 | $1.35 | $1.32 | $1.32 | 1 805 215 |
Apr 05, 2024 | $1.33 | $1.37 | $1.31 | $1.34 | 3 562 244 |
Apr 04, 2024 | $1.34 | $1.38 | $1.31 | $1.33 | 2 592 907 |
Apr 03, 2024 | $1.35 | $1.37 | $1.32 | $1.34 | 3 120 611 |
Apr 02, 2024 | $1.35 | $1.37 | $1.32 | $1.36 | 2 198 254 |
Apr 01, 2024 | $1.45 | $1.45 | $1.35 | $1.35 | 4 367 768 |
Mar 28, 2024 | $1.37 | $1.48 | $1.36 | $1.47 | 4 922 320 |
Mar 27, 2024 | $1.37 | $1.39 | $1.36 | $1.37 | 2 259 385 |
Mar 26, 2024 | $1.43 | $1.43 | $1.35 | $1.35 | 2 957 036 |
Mar 25, 2024 | $1.39 | $1.45 | $1.38 | $1.38 | 3 254 487 |
Mar 22, 2024 | $1.40 | $1.41 | $1.38 | $1.39 | 2 246 161 |
Mar 21, 2024 | $1.44 | $1.45 | $1.39 | $1.40 | 3 506 266 |
Mar 20, 2024 | $1.35 | $1.48 | $1.33 | $1.46 | 8 919 370 |
Mar 19, 2024 | $1.38 | $1.41 | $1.35 | $1.35 | 2 900 423 |
Mar 18, 2024 | $1.47 | $1.48 | $1.38 | $1.39 | 4 146 467 |
Mar 15, 2024 | $1.39 | $1.48 | $1.39 | $1.47 | 6 052 006 |
Mar 14, 2024 | $1.49 | $1.49 | $1.39 | $1.41 | 4 265 841 |
Mar 13, 2024 | $1.49 | $1.49 | $1.43 | $1.43 | 4 289 395 |
Mar 12, 2024 | $1.42 | $1.48 | $1.40 | $1.46 | 5 510 016 |
Mar 11, 2024 | $1.32 | $1.45 | $1.32 | $1.43 | 6 259 775 |
Mar 08, 2024 | $1.32 | $1.39 | $1.30 | $1.32 | 5 168 300 |
Mar 07, 2024 | $1.29 | $1.35 | $1.27 | $1.30 | 4 794 592 |
Mar 06, 2024 | $1.35 | $1.35 | $1.25 | $1.27 | 5 921 579 |
Mar 05, 2024 | $1.37 | $1.42 | $1.33 | $1.33 | 3 417 942 |
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 GSAT stock historical prices to predict future price movements?
Trend Analysis: Examine the GSAT 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 GSAT 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.