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 |
Nov 10, 2016 | $35.75 | $36.44 | $35.75 | $36.00 | 416 675 |
Nov 09, 2016 | $34.08 | $35.76 | $34.01 | $35.56 | 433 685 |
Nov 08, 2016 | $34.18 | $34.48 | $33.99 | $34.30 | 492 339 |
Nov 07, 2016 | $34.66 | $34.96 | $34.04 | $34.25 | 554 700 |
Nov 04, 2016 | $34.31 | $34.92 | $34.27 | $34.30 | 397 600 |
Nov 03, 2016 | $34.32 | $34.60 | $34.06 | $34.35 | 375 500 |
Nov 02, 2016 | $34.75 | $34.90 | $34.32 | $34.32 | 483 200 |
Nov 01, 2016 | $36.01 | $36.10 | $34.68 | $34.78 | 540 000 |
Oct 31, 2016 | $36.07 | $36.08 | $35.75 | $35.95 | 547 200 |
Oct 28, 2016 | $36.43 | $36.65 | $36.09 | $36.13 | 386 300 |
Oct 27, 2016 | $36.65 | $36.72 | $35.65 | $36.36 | 565 800 |
Oct 26, 2016 | $36.30 | $36.54 | $35.92 | $36.09 | 726 100 |
Oct 25, 2016 | $36.56 | $36.73 | $36.05 | $36.44 | 820 100 |
Oct 24, 2016 | $37.08 | $37.08 | $36.13 | $36.50 | 424 300 |
Oct 21, 2016 | $36.86 | $37.01 | $36.47 | $36.64 | 499 600 |
Oct 20, 2016 | $37.40 | $37.75 | $37.06 | $37.10 | 425 600 |
Oct 19, 2016 | $37.66 | $37.72 | $37.37 | $37.52 | 276 900 |
Oct 18, 2016 | $37.72 | $37.88 | $37.19 | $37.47 | 263 500 |
Oct 17, 2016 | $37.24 | $37.52 | $37.14 | $37.19 | 288 100 |
Oct 14, 2016 | $36.98 | $37.59 | $36.92 | $37.34 | 229 100 |
Oct 13, 2016 | $37.01 | $37.01 | $36.41 | $36.67 | 399 800 |
Oct 12, 2016 | $37.76 | $37.85 | $37.34 | $37.35 | 343 100 |
Oct 11, 2016 | $38.20 | $38.22 | $37.49 | $37.63 | 438 400 |
Oct 10, 2016 | $38.11 | $38.62 | $38.04 | $38.26 | 277 100 |
Oct 07, 2016 | $38.47 | $38.47 | $37.61 | $37.80 | 475 400 |
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.