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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

Historical Glowpoint, Inc prices

Date Open High Low Close Volume
Jan 19, 2022 $0.85 $0.89 $0.720 $0.799 247 391
Jan 18, 2022 $0.87 $0.89 $0.780 $0.780 42 346
Jan 14, 2022 $0.84 $0.84 $0.784 $0.80 89 824
Jan 13, 2022 $0.87 $0.87 $0.87 $0.87 0
Jan 12, 2022 $0.87 $0.87 $0.87 $0.87 0
Jan 11, 2022 $0.87 $0.92 $0.86 $0.87 123 681
Jan 10, 2022 $0.94 $0.97 $0.85 $0.87 78 807
Jan 07, 2022 $0.93 $1.00 $0.91 $0.94 66 928
Jan 06, 2022 $0.98 $0.98 $0.90 $0.94 117 095
Jan 05, 2022 $1.00 $1.03 $0.93 $0.95 101 591
Jan 04, 2022 $1.07 $1.11 $1.00 $1.00 93 323
Jan 03, 2022 $1.08 $1.12 $1.04 $1.07 36 596
Dec 31, 2021 $1.00 $1.08 $1.00 $1.03 117 610
Dec 30, 2021 $1.07 $1.07 $1.00 $1.02 156 059
Dec 29, 2021 $1.10 $1.10 $1.00 $1.00 122 769
Dec 28, 2021 $1.00 $1.04 $1.00 $1.02 209 233
Dec 27, 2021 $1.10 $1.15 $1.00 $1.01 173 484
Dec 23, 2021 $1.22 $1.24 $1.08 $1.08 134 625
Dec 22, 2021 $1.17 $1.20 $1.15 $1.16 21 397
Dec 21, 2021 $1.11 $1.19 $1.08 $1.19 172 519
Dec 20, 2021 $1.10 $1.15 $1.06 $1.12 99 627
Dec 17, 2021 $1.19 $1.22 $1.12 $1.15 74 768
Dec 16, 2021 $1.28 $1.28 $1.07 $1.15 150 538
Dec 15, 2021 $1.08 $1.14 $1.05 $1.13 79 696
Dec 14, 2021 $1.07 $1.13 $1.07 $1.09 76 824

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.

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.

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.

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.
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