NYSE:GLOW
Delisted
Glowpoint, Inc Stock Price (Quote)
$0.773
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.773 | $0.773 | Wednesday, 20th Jul 2022 GLOW stock ended at $0.773. During the day the stock fluctuated 0% from a day low at $0.773 to a day high of $0.773. |
90 days | $0.773 | $0.773 | |
52 weeks | $0.608 | $3.35 |
Date | Open | High | Low | Close | Volume |
Aug 26, 2021 | $2.33 | $2.42 | $2.24 | $2.34 | 78 787 |
Aug 25, 2021 | $2.33 | $2.36 | $2.27 | $2.32 | 35 811 |
Aug 24, 2021 | $2.21 | $2.45 | $2.14 | $2.36 | 118 782 |
Aug 23, 2021 | $2.08 | $2.20 | $2.07 | $2.16 | 52 675 |
Aug 20, 2021 | $2.15 | $2.19 | $2.06 | $2.07 | 49 650 |
Aug 19, 2021 | $2.11 | $2.19 | $2.10 | $2.17 | 87 713 |
Aug 18, 2021 | $2.16 | $2.25 | $2.10 | $2.19 | 106 719 |
Aug 17, 2021 | $2.12 | $2.24 | $2.00 | $2.20 | 184 085 |
Aug 16, 2021 | $2.16 | $2.18 | $2.00 | $2.13 | 164 904 |
Aug 13, 2021 | $2.27 | $2.28 | $2.15 | $2.16 | 170 545 |
Aug 12, 2021 | $2.37 | $2.43 | $2.25 | $2.29 | 290 141 |
Aug 11, 2021 | $2.53 | $2.59 | $2.44 | $2.54 | 143 050 |
Aug 10, 2021 | $2.60 | $2.64 | $2.40 | $2.52 | 222 740 |
Aug 09, 2021 | $2.59 | $2.74 | $2.52 | $2.61 | 203 719 |
Aug 06, 2021 | $2.74 | $2.76 | $2.48 | $2.59 | 604 909 |
Aug 05, 2021 | $2.95 | $3.35 | $2.65 | $2.84 | 8 069 716 |
Aug 04, 2021 | $2.52 | $2.65 | $2.51 | $2.61 | 26 914 |
Aug 03, 2021 | $2.61 | $2.66 | $2.52 | $2.57 | 47 352 |
Aug 02, 2021 | $2.63 | $2.65 | $2.50 | $2.61 | 53 202 |
Jul 30, 2021 | $2.64 | $2.74 | $2.57 | $2.60 | 56 223 |
Jul 29, 2021 | $2.75 | $2.84 | $2.54 | $2.67 | 306 066 |
Jul 28, 2021 | $2.40 | $2.67 | $2.33 | $2.61 | 137 536 |
Jul 27, 2021 | $2.55 | $2.55 | $2.33 | $2.42 | 68 887 |
Jul 26, 2021 | $2.55 | $2.69 | $2.49 | $2.57 | 112 524 |
Jul 23, 2021 | $2.54 | $2.69 | $2.40 | $2.63 | 190 794 |
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 GLOW stock historical prices to predict future price movements?
Trend Analysis: Examine the GLOW 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 GLOW 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.