NYSE:GNW
Genworth Financial Inc Stock Price (Quote)
$6.29
-0.0500 (-0.789%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.92 | $6.74 | Friday, 31st May 2024 GNW stock ended at $6.29. This is 0.789% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.75% from a day low at $6.28 to a day high of $6.39. |
90 days | $5.67 | $6.74 | |
52 weeks | $4.83 | $6.93 |
Historical Genworth Financial Inc prices
Date | Open | High | Low | Close | Volume |
Dec 15, 2016 | $4.12 | $4.15 | $3.87 | $3.97 | 11 640 728 |
Dec 14, 2016 | $4.23 | $4.25 | $4.08 | $4.09 | 7 413 008 |
Dec 13, 2016 | $4.22 | $4.33 | $4.20 | $4.25 | 7 736 403 |
Dec 12, 2016 | $4.22 | $4.31 | $4.16 | $4.20 | 5 275 382 |
Dec 09, 2016 | $4.30 | $4.32 | $4.17 | $4.22 | 5 926 271 |
Dec 08, 2016 | $4.31 | $4.33 | $4.24 | $4.28 | 6 303 710 |
Dec 07, 2016 | $4.30 | $4.35 | $4.27 | $4.29 | 3 832 764 |
Dec 06, 2016 | $4.24 | $4.34 | $4.23 | $4.33 | 8 328 777 |
Dec 05, 2016 | $4.16 | $4.25 | $4.14 | $4.22 | 7 026 314 |
Dec 02, 2016 | $4.17 | $4.21 | $4.03 | $4.12 | 7 105 334 |
Dec 01, 2016 | $4.32 | $4.38 | $4.16 | $4.20 | 7 665 981 |
Nov 30, 2016 | $4.28 | $4.40 | $4.25 | $4.28 | 8 126 044 |
Nov 29, 2016 | $4.29 | $4.35 | $4.25 | $4.25 | 7 487 530 |
Nov 28, 2016 | $4.31 | $4.36 | $4.25 | $4.25 | 5 434 927 |
Nov 25, 2016 | $4.40 | $4.42 | $4.28 | $4.36 | 2 671 868 |
Nov 23, 2016 | $4.36 | $4.42 | $4.33 | $4.41 | 3 692 008 |
Nov 22, 2016 | $4.45 | $4.46 | $4.25 | $4.37 | 4 928 885 |
Nov 21, 2016 | $4.42 | $4.45 | $4.36 | $4.44 | 3 074 125 |
Nov 18, 2016 | $4.34 | $4.44 | $4.33 | $4.37 | 7 052 366 |
Nov 17, 2016 | $4.30 | $4.35 | $4.25 | $4.33 | 5 405 299 |
Nov 16, 2016 | $4.32 | $4.39 | $4.29 | $4.31 | 5 073 041 |
Nov 15, 2016 | $4.27 | $4.32 | $4.15 | $4.32 | 5 465 955 |
Nov 14, 2016 | $4.25 | $4.37 | $4.24 | $4.31 | 7 592 427 |
Nov 11, 2016 | $4.07 | $4.23 | $4.04 | $4.21 | 10 004 865 |
Nov 10, 2016 | $4.04 | $4.19 | $3.94 | $4.00 | 11 294 079 |
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 GNW stock historical prices to predict future price movements?
Trend Analysis: Examine the GNW 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 GNW 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.