TSX:WEF
Western Forest Products Inc. Stock Price (Quote)
$0.495
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.490 | $0.550 | Friday, 31st May 2024 WEF.TO stock ended at $0.495. During the day the stock fluctuated 3.03% from a day low at $0.495 to a day high of $0.510. |
90 days | $0.490 | $0.670 | |
52 weeks | $0.490 | $1.11 |
Historical Western Forest Products Inc. prices
Date | Open | High | Low | Close | Volume |
May 31, 2024 | $0.510 | $0.510 | $0.495 | $0.495 | 106 199 |
May 30, 2024 | $0.495 | $0.500 | $0.490 | $0.495 | 173 983 |
May 29, 2024 | $0.510 | $0.510 | $0.495 | $0.500 | 497 075 |
May 28, 2024 | $0.500 | $0.520 | $0.500 | $0.520 | 557 333 |
May 27, 2024 | $0.500 | $0.510 | $0.500 | $0.500 | 129 500 |
May 24, 2024 | $0.510 | $0.510 | $0.500 | $0.500 | 37 902 |
May 23, 2024 | $0.500 | $0.520 | $0.490 | $0.520 | 380 002 |
May 22, 2024 | $0.520 | $0.520 | $0.500 | $0.510 | 386 000 |
May 21, 2024 | $0.495 | $0.520 | $0.495 | $0.520 | 319 059 |
May 17, 2024 | $0.520 | $0.520 | $0.490 | $0.495 | 838 692 |
May 16, 2024 | $0.510 | $0.520 | $0.510 | $0.520 | 47 868 |
May 15, 2024 | $0.510 | $0.520 | $0.510 | $0.520 | 86 270 |
May 14, 2024 | $0.510 | $0.520 | $0.510 | $0.510 | 98 207 |
May 13, 2024 | $0.500 | $0.520 | $0.500 | $0.510 | 624 039 |
May 10, 2024 | $0.510 | $0.520 | $0.500 | $0.510 | 338 710 |
May 09, 2024 | $0.520 | $0.530 | $0.510 | $0.510 | 788 733 |
May 08, 2024 | $0.530 | $0.540 | $0.520 | $0.540 | 147 823 |
May 07, 2024 | $0.550 | $0.550 | $0.530 | $0.530 | 595 264 |
May 06, 2024 | $0.550 | $0.550 | $0.530 | $0.530 | 263 486 |
May 03, 2024 | $0.550 | $0.550 | $0.530 | $0.550 | 196 400 |
May 02, 2024 | $0.550 | $0.550 | $0.530 | $0.530 | 217 364 |
May 01, 2024 | $0.540 | $0.550 | $0.530 | $0.540 | 327 137 |
Apr 30, 2024 | $0.540 | $0.545 | $0.520 | $0.540 | 180 759 |
Apr 29, 2024 | $0.550 | $0.550 | $0.530 | $0.530 | 310 336 |
Apr 26, 2024 | $0.560 | $0.560 | $0.550 | $0.550 | 151 000 |
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 WEF.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the WEF.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 WEF.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.