NASDAQ:XGTI
Delisted
XG Technology Stock Price (Quote)
$2.65
-0.490 (-15.61%)
At Close: Feb 04, 2021
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.37 | $3.57 | Thursday, 4th Feb 2021 XGTI stock ended at $2.65. This is 15.61% less than the trading day before Wednesday, 3rd Feb 2021. During the day the stock fluctuated 11.11% from a day low at $2.52 to a day high of $2.80. |
90 days | $1.11 | $3.57 | |
52 weeks | $0.110 | $3.57 |
Date | Open | High | Low | Close | Volume |
Dec 29, 2020 | $1.58 | $1.59 | $1.34 | $1.35 | 4 397 526 |
Dec 28, 2020 | $1.62 | $1.71 | $1.48 | $1.54 | 7 859 488 |
Dec 24, 2020 | $1.70 | $1.72 | $1.53 | $1.54 | 2 533 772 |
Dec 23, 2020 | $1.74 | $1.90 | $1.44 | $1.82 | 13 002 381 |
Dec 22, 2020 | $1.32 | $1.76 | $1.31 | $1.67 | 21 193 684 |
Dec 21, 2020 | $1.26 | $1.34 | $1.22 | $1.24 | 5 374 667 |
Dec 18, 2020 | $1.25 | $1.41 | $1.24 | $1.26 | 4 935 261 |
Dec 17, 2020 | $1.21 | $1.26 | $1.20 | $1.25 | 845 345 |
Dec 16, 2020 | $1.21 | $1.25 | $1.19 | $1.21 | 654 205 |
Dec 15, 2020 | $1.19 | $1.20 | $1.18 | $1.20 | 466 941 |
Dec 14, 2020 | $1.23 | $1.23 | $1.17 | $1.19 | 727 419 |
Dec 11, 2020 | $1.25 | $1.27 | $1.20 | $1.22 | 742 516 |
Dec 10, 2020 | $1.26 | $1.27 | $1.23 | $1.24 | 683 231 |
Dec 09, 2020 | $1.32 | $1.34 | $1.20 | $1.27 | 1 556 496 |
Dec 08, 2020 | $1.31 | $1.34 | $1.25 | $1.32 | 845 613 |
Dec 07, 2020 | $1.32 | $1.32 | $1.29 | $1.30 | 361 887 |
Dec 04, 2020 | $1.41 | $1.50 | $1.15 | $1.32 | 2 322 094 |
Dec 03, 2020 | $1.34 | $1.37 | $1.32 | $1.34 | 604 242 |
Dec 02, 2020 | $1.29 | $1.42 | $1.25 | $1.38 | 3 075 830 |
Dec 01, 2020 | $1.31 | $1.34 | $1.27 | $1.29 | 1 482 779 |
Nov 30, 2020 | $1.34 | $1.34 | $1.26 | $1.33 | 887 450 |
Nov 27, 2020 | $1.29 | $1.33 | $1.29 | $1.31 | 453 383 |
Nov 25, 2020 | $1.32 | $1.34 | $1.25 | $1.30 | 1 689 689 |
Nov 24, 2020 | $1.30 | $1.42 | $1.29 | $1.35 | 2 214 632 |
Nov 23, 2020 | $1.31 | $1.40 | $1.27 | $1.38 | 2 549 039 |
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 XGTI stock historical prices to predict future price movements?
Trend Analysis: Examine the XGTI 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 XGTI 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.