NYSE:UWMC
UWM Holdings Corporation Class Stock Price (Quote)
$6.90
+0.0900 (+1.32%)
At Close: Jul 03, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.63 | $7.79 | Wednesday, 3rd Jul 2024 UWMC stock ended at $6.90. This is 1.32% more than the trading day before Tuesday, 2nd Jul 2024. During the day the stock fluctuated 2.96% from a day low at $6.75 to a day high of $6.95. |
90 days | $5.98 | $7.79 | |
52 weeks | $4.49 | $7.79 |
Historical UWM Holdings Corporation Class prices
Date | Open | High | Low | Close | Volume |
Jul 03, 2024 | $6.86 | $6.95 | $6.75 | $6.90 | 1 016 895 |
Jul 02, 2024 | $6.75 | $6.84 | $6.66 | $6.81 | 974 271 |
Jul 01, 2024 | $6.94 | $6.98 | $6.63 | $6.75 | 953 074 |
Jun 28, 2024 | $6.84 | $6.95 | $6.83 | $6.93 | 1 395 586 |
Jun 27, 2024 | $6.78 | $6.86 | $6.75 | $6.83 | 714 656 |
Jun 26, 2024 | $6.85 | $6.86 | $6.76 | $6.79 | 1 214 842 |
Jun 25, 2024 | $7.06 | $7.06 | $6.87 | $6.88 | 685 585 |
Jun 24, 2024 | $7.00 | $7.09 | $6.97 | $7.05 | 665 271 |
Jun 21, 2024 | $6.93 | $7.05 | $6.85 | $6.97 | 1 514 891 |
Jun 20, 2024 | $7.10 | $7.13 | $6.95 | $6.98 | 1 078 883 |
Jun 18, 2024 | $7.37 | $7.37 | $7.25 | $7.26 | 1 191 236 |
Jun 17, 2024 | $7.29 | $7.41 | $7.23 | $7.38 | 545 478 |
Jun 14, 2024 | $7.25 | $7.40 | $7.24 | $7.30 | 667 463 |
Jun 13, 2024 | $7.46 | $7.47 | $7.23 | $7.36 | 790 969 |
Jun 12, 2024 | $7.51 | $7.79 | $7.39 | $7.42 | 1 215 133 |
Jun 11, 2024 | $7.21 | $7.29 | $7.20 | $7.26 | 858 012 |
Jun 10, 2024 | $7.30 | $7.33 | $7.18 | $7.26 | 766 356 |
Jun 07, 2024 | $7.35 | $7.46 | $7.33 | $7.35 | 1 201 019 |
Jun 06, 2024 | $7.57 | $7.62 | $7.46 | $7.50 | 639 619 |
Jun 05, 2024 | $7.60 | $7.67 | $7.53 | $7.61 | 1 080 977 |
Jun 04, 2024 | $7.47 | $7.64 | $7.47 | $7.56 | 1 391 762 |
Jun 03, 2024 | $7.41 | $7.56 | $7.33 | $7.52 | 1 329 820 |
May 31, 2024 | $7.47 | $7.51 | $7.35 | $7.37 | 864 578 |
May 30, 2024 | $7.21 | $7.44 | $7.15 | $7.41 | 1 461 167 |
May 29, 2024 | $7.29 | $7.31 | $7.09 | $7.15 | 1 386 273 |
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 UWMC stock historical prices to predict future price movements?
Trend Analysis: Examine the UWMC 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 UWMC 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.