NYSE:UFS
Delisted
Domtar Corporation Stock Price (Quote)
$55.49
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $55.49 | $55.49 | Wednesday, 17th Aug 2022 UFS stock ended at $55.49. During the day the stock fluctuated 0% from a day low at $55.49 to a day high of $55.49. |
90 days | $55.49 | $55.49 | |
52 weeks | $47.71 | $55.50 |
Date | Open | High | Low | Close | Volume |
Jun 21, 2016 | $37.39 | $37.39 | $36.73 | $36.20 | 336 200 |
Jun 20, 2016 | $37.61 | $37.68 | $37.18 | $36.41 | 314 500 |
Jun 17, 2016 | $36.56 | $37.02 | $36.44 | $35.88 | 425 300 |
Jun 16, 2016 | $36.46 | $36.61 | $35.87 | $36.61 | 445 286 |
Jun 15, 2016 | $37.10 | $37.56 | $36.73 | $36.75 | 372 955 |
Jun 14, 2016 | $36.76 | $37.01 | $36.57 | $36.99 | 492 009 |
Jun 13, 2016 | $37.56 | $37.71 | $36.85 | $36.91 | 351 557 |
Jun 10, 2016 | $38.05 | $38.12 | $37.41 | $37.85 | 247 413 |
Jun 09, 2016 | $38.98 | $39.04 | $38.24 | $38.33 | 234 016 |
Jun 08, 2016 | $38.96 | $39.38 | $38.93 | $39.28 | 520 123 |
Jun 07, 2016 | $38.46 | $39.06 | $38.30 | $38.90 | 486 656 |
Jun 06, 2016 | $38.22 | $38.75 | $38.12 | $38.27 | 382 972 |
Jun 03, 2016 | $38.85 | $38.92 | $37.93 | $37.98 | 620 601 |
Jun 02, 2016 | $38.47 | $38.78 | $38.33 | $38.73 | 419 967 |
Jun 01, 2016 | $38.55 | $38.64 | $38.21 | $38.51 | 306 177 |
May 31, 2016 | $39.02 | $39.08 | $38.25 | $38.64 | 678 070 |
May 27, 2016 | $38.40 | $39.04 | $38.29 | $38.88 | 457 330 |
May 26, 2016 | $38.53 | $38.75 | $38.30 | $38.50 | 313 871 |
May 25, 2016 | $38.44 | $38.74 | $38.29 | $38.29 | 421 542 |
May 24, 2016 | $38.08 | $38.68 | $38.04 | $38.38 | 501 030 |
May 23, 2016 | $38.00 | $38.29 | $37.67 | $37.91 | 364 698 |
May 20, 2016 | $37.15 | $38.01 | $37.15 | $38.00 | 651 713 |
May 19, 2016 | $36.57 | $37.04 | $36.32 | $36.97 | 341 485 |
May 18, 2016 | $37.29 | $37.73 | $36.79 | $36.88 | 392 488 |
May 17, 2016 | $37.50 | $37.80 | $37.17 | $37.31 | 407 549 |
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 UFS stock historical prices to predict future price movements?
Trend Analysis: Examine the UFS 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 UFS 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.