NASDAQ:GLBL
Delisted
TerraForm Global Stock Price (Quote)
$5.07
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.05 | $5.10 | Tuesday, 16th Jan 2018 GLBL stock ended at $5.07. During the day the stock fluctuated 0% from a day low at $5.07 to a day high of $5.07. |
90 days | $4.65 | $5.10 | |
52 weeks | $3.95 | $5.10 |
Historical TerraForm Global prices
Date | Open | High | Low | Close | Volume |
Dec 12, 2016 | $3.90 | $3.95 | $3.75 | $3.75 | 484 667 |
Dec 09, 2016 | $3.95 | $3.95 | $3.83 | $3.90 | 755 234 |
Dec 08, 2016 | $4.00 | $4.00 | $3.78 | $3.90 | 642 413 |
Dec 07, 2016 | $3.75 | $4.05 | $3.75 | $3.95 | 1 410 863 |
Dec 06, 2016 | $3.75 | $3.80 | $3.62 | $3.75 | 344 170 |
Dec 05, 2016 | $3.70 | $3.80 | $3.65 | $3.80 | 609 625 |
Dec 02, 2016 | $3.65 | $3.70 | $3.60 | $3.70 | 472 534 |
Dec 01, 2016 | $3.80 | $3.85 | $3.60 | $3.60 | 416 574 |
Nov 30, 2016 | $3.75 | $3.85 | $3.70 | $3.80 | 587 313 |
Nov 29, 2016 | $3.90 | $3.90 | $3.75 | $3.80 | 604 889 |
Nov 28, 2016 | $3.95 | $4.00 | $3.85 | $3.90 | 296 902 |
Nov 25, 2016 | $3.95 | $3.95 | $3.90 | $3.95 | 83 275 |
Nov 23, 2016 | $3.95 | $3.97 | $3.85 | $3.95 | 899 220 |
Nov 22, 2016 | $3.85 | $3.95 | $3.75 | $3.90 | 337 639 |
Nov 21, 2016 | $4.00 | $4.00 | $3.78 | $3.90 | 416 343 |
Nov 18, 2016 | $3.80 | $4.00 | $3.75 | $4.00 | 2 288 853 |
Nov 17, 2016 | $3.85 | $3.85 | $3.70 | $3.75 | 420 449 |
Nov 16, 2016 | $3.80 | $3.90 | $3.75 | $3.80 | 336 565 |
Nov 15, 2016 | $4.00 | $4.03 | $3.80 | $3.85 | 314 242 |
Nov 14, 2016 | $4.00 | $4.05 | $3.90 | $4.00 | 518 644 |
Nov 11, 2016 | $4.00 | $4.05 | $3.89 | $4.00 | 591 971 |
Nov 10, 2016 | $3.75 | $4.10 | $3.65 | $4.00 | 1 885 392 |
Nov 09, 2016 | $3.45 | $3.80 | $3.45 | $3.75 | 769 095 |
Nov 08, 2016 | $3.75 | $3.85 | $3.67 | $3.80 | 131 778 |
Nov 07, 2016 | $3.80 | $3.80 | $3.65 | $3.75 | 183 900 |
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 GLBL stock historical prices to predict future price movements?
Trend Analysis: Examine the GLBL 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 GLBL 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.