CNQ:NGW
Delisted
Next Green Wave Holdings Inc. Stock Price (Quote)
$0.410
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.410 | $0.410 | Wednesday, 17th Aug 2022 NGW.CN stock ended at $0.410. During the day the stock fluctuated 0% from a day low at $0.410 to a day high of $0.410. |
90 days | $0.410 | $0.410 | |
52 weeks | $0.285 | $0.750 |
Date | Open | High | Low | Close | Volume |
May 22, 2019 | $0.410 | $0.410 | $0.385 | $0.395 | 258 131 |
May 21, 2019 | $0.435 | $0.435 | $0.415 | $0.420 | 161 017 |
May 17, 2019 | $0.440 | $0.440 | $0.410 | $0.440 | 177 586 |
May 16, 2019 | $0.450 | $0.450 | $0.445 | $0.445 | 132 783 |
May 15, 2019 | $0.450 | $0.450 | $0.445 | $0.450 | 88 913 |
May 14, 2019 | $0.450 | $0.455 | $0.435 | $0.455 | 232 575 |
May 13, 2019 | $0.460 | $0.460 | $0.430 | $0.455 | 231 304 |
May 10, 2019 | $0.435 | $0.480 | $0.425 | $0.465 | 466 546 |
May 09, 2019 | $0.465 | $0.470 | $0.385 | $0.430 | 984 736 |
May 08, 2019 | $0.470 | $0.475 | $0.460 | $0.475 | 97 397 |
May 07, 2019 | $0.480 | $0.495 | $0.470 | $0.490 | 68 347 |
May 06, 2019 | $0.490 | $0.510 | $0.490 | $0.495 | 128 646 |
May 03, 2019 | $0.500 | $0.520 | $0.485 | $0.520 | 66 826 |
May 02, 2019 | $0.480 | $0.520 | $0.470 | $0.500 | 195 300 |
May 01, 2019 | $0.465 | $0.480 | $0.455 | $0.475 | 163 282 |
Apr 30, 2019 | $0.470 | $0.475 | $0.460 | $0.470 | 113 048 |
Apr 29, 2019 | $0.470 | $0.480 | $0.465 | $0.470 | 189 780 |
Apr 26, 2019 | $0.465 | $0.485 | $0.465 | $0.470 | 187 229 |
Apr 25, 2019 | $0.480 | $0.485 | $0.465 | $0.470 | 127 898 |
Apr 24, 2019 | $0.480 | $0.485 | $0.470 | $0.485 | 173 664 |
Apr 23, 2019 | $0.510 | $0.510 | $0.490 | $0.490 | 287 428 |
Apr 22, 2019 | $0.520 | $0.550 | $0.510 | $0.540 | 206 861 |
Apr 18, 2019 | $0.500 | $0.520 | $0.490 | $0.510 | 478 966 |
Apr 17, 2019 | $0.480 | $0.480 | $0.460 | $0.480 | 443 506 |
Apr 16, 2019 | $0.520 | $0.530 | $0.495 | $0.500 | 321 430 |
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 NGW.CN stock historical prices to predict future price movements?
Trend Analysis: Examine the NGW.CN 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 NGW.CN 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.