TSX:NG
Novagold Resources Inc Stock Price (Quote)
$4.28
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.76 | $4.40 | Thursday, 16th May 2024 NG.TO stock ended at $4.28. During the day the stock fluctuated 0% from a day low at $4.28 to a day high of $4.28. |
90 days | $3.09 | $4.63 | |
52 weeks | $2.98 | $7.45 |
Date | Open | High | Low | Close | Volume |
Mar 06, 2024 | $3.47 | $3.49 | $3.35 | $3.37 | 239 410 |
Mar 05, 2024 | $3.42 | $3.53 | $3.35 | $3.42 | 272 707 |
Mar 04, 2024 | $3.44 | $3.45 | $3.34 | $3.39 | 232 801 |
Mar 01, 2024 | $3.36 | $3.46 | $3.28 | $3.39 | 349 472 |
Feb 29, 2024 | $3.23 | $3.40 | $3.23 | $3.35 | 308 295 |
Feb 28, 2024 | $3.19 | $3.28 | $3.15 | $3.18 | 119 421 |
Feb 27, 2024 | $3.20 | $3.29 | $3.20 | $3.21 | 200 410 |
Feb 26, 2024 | $3.19 | $3.21 | $3.13 | $3.20 | 188 575 |
Feb 23, 2024 | $3.19 | $3.28 | $3.11 | $3.25 | 399 600 |
Feb 22, 2024 | $3.23 | $3.35 | $3.16 | $3.21 | 775 729 |
Feb 21, 2024 | $3.23 | $3.33 | $3.19 | $3.24 | 231 686 |
Feb 20, 2024 | $3.27 | $3.28 | $3.09 | $3.23 | 378 401 |
Feb 16, 2024 | $3.36 | $3.37 | $3.19 | $3.21 | 641 454 |
Feb 15, 2024 | $3.29 | $3.47 | $3.29 | $3.38 | 400 260 |
Feb 14, 2024 | $3.21 | $3.29 | $3.13 | $3.28 | 163 362 |
Feb 13, 2024 | $3.28 | $3.30 | $3.16 | $3.18 | 289 000 |
Feb 12, 2024 | $3.31 | $3.46 | $3.31 | $3.37 | 176 460 |
Feb 09, 2024 | $3.16 | $3.34 | $3.16 | $3.31 | 278 495 |
Feb 08, 2024 | $3.03 | $3.24 | $2.98 | $3.17 | 328 294 |
Feb 07, 2024 | $3.21 | $3.21 | $3.02 | $3.06 | 766 452 |
Feb 06, 2024 | $3.21 | $3.28 | $3.19 | $3.23 | 124 578 |
Feb 05, 2024 | $3.30 | $3.30 | $3.11 | $3.21 | 354 471 |
Feb 02, 2024 | $3.40 | $3.40 | $3.26 | $3.36 | 323 558 |
Feb 01, 2024 | $3.46 | $3.56 | $3.43 | $3.46 | 365 081 |
Jan 31, 2024 | $3.53 | $3.60 | $3.42 | $3.43 | 392 842 |
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 NG.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the NG.TO 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 NG.TO 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.