NYSE:UEC
Uranium Energy Stock Price (Quote)
$7.42
+0.440 (+6.30%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.47 | $7.58 | Friday, 17th May 2024 UEC stock ended at $7.42. This is 6.30% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.09% from a day low at $7.06 to a day high of $7.49. |
90 days | $6.07 | $7.77 | |
52 weeks | $2.45 | $8.34 |
Date | Open | High | Low | Close | Volume |
Dec 02, 2016 | $0.87 | $0.89 | $0.86 | $0.89 | 441 692 |
Dec 01, 2016 | $0.89 | $0.89 | $0.85 | $0.89 | 581 534 |
Nov 30, 2016 | $0.85 | $0.88 | $0.85 | $0.88 | 472 919 |
Nov 29, 2016 | $0.89 | $0.89 | $0.82 | $0.82 | 755 877 |
Nov 28, 2016 | $0.89 | $0.89 | $0.85 | $0.86 | 444 908 |
Nov 25, 2016 | $0.87 | $0.88 | $0.86 | $0.86 | 94 328 |
Nov 23, 2016 | $0.87 | $0.87 | $0.84 | $0.87 | 756 496 |
Nov 22, 2016 | $0.93 | $0.94 | $0.81 | $0.87 | 663 123 |
Nov 21, 2016 | $0.91 | $0.93 | $0.90 | $0.92 | 411 375 |
Nov 18, 2016 | $0.91 | $0.94 | $0.90 | $0.92 | 384 557 |
Nov 17, 2016 | $0.91 | $0.96 | $0.90 | $0.92 | 461 876 |
Nov 16, 2016 | $0.91 | $0.93 | $0.91 | $0.92 | 274 162 |
Nov 15, 2016 | $0.91 | $0.94 | $0.91 | $0.92 | 181 398 |
Nov 14, 2016 | $0.93 | $0.97 | $0.91 | $0.92 | 299 166 |
Nov 11, 2016 | $1.00 | $1.00 | $0.90 | $0.92 | 542 167 |
Nov 10, 2016 | $0.90 | $0.98 | $0.90 | $0.98 | 701 346 |
Nov 09, 2016 | $0.88 | $0.92 | $0.87 | $0.91 | 370 116 |
Nov 08, 2016 | $0.87 | $0.91 | $0.87 | $0.89 | 236 010 |
Nov 07, 2016 | $0.86 | $0.91 | $0.86 | $0.88 | 315 347 |
Nov 04, 2016 | $0.87 | $0.88 | $0.87 | $0.87 | 167 563 |
Nov 03, 2016 | $0.85 | $0.87 | $0.85 | $0.86 | 418 292 |
Nov 02, 2016 | $0.90 | $0.90 | $0.85 | $0.85 | 361 581 |
Nov 01, 2016 | $0.89 | $0.91 | $0.86 | $0.88 | 274 666 |
Oct 31, 2016 | $0.88 | $0.91 | $0.86 | $0.90 | 306 904 |
Oct 28, 2016 | $0.86 | $0.90 | $0.86 | $0.86 | 288 694 |
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 UEC stock historical prices to predict future price movements?
Trend Analysis: Examine the UEC 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 UEC 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.