NASDAQ:KRNY
Kearny Financial Stock Price (Quote)
$7.23
+0.0600 (+0.84%)
At Close: Jan 17, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.55 | $8.21 | Friday, 17th Jan 2025 KRNY stock ended at $7.23. This is 0.84% more than the trading day before Thursday, 16th Jan 2025. During the day the stock fluctuated 2.52% from a day low at $7.13 to a day high of $7.31. |
90 days | $6.55 | $8.59 | |
52 weeks | $5.28 | $8.59 |
Historical Kearny Financial prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Jan 17, 2025 | $7.21 | $7.31 | $7.13 | $7.23 | 171 721 |
Jan 16, 2025 | $7.23 | $7.23 | $7.10 | $7.17 | 270 694 |
Jan 15, 2025 | $7.35 | $7.36 | $7.13 | $7.27 | 219 251 |
Jan 14, 2025 | $6.89 | $7.09 | $6.83 | $7.06 | 244 740 |
Jan 13, 2025 | $6.63 | $6.85 | $6.63 | $6.83 | 274 468 |
Jan 10, 2025 | $6.78 | $7.02 | $6.55 | $6.69 | 363 863 |
Jan 08, 2025 | $6.86 | $6.97 | $6.80 | $6.94 | 173 502 |
Jan 07, 2025 | $7.19 | $7.26 | $6.88 | $6.94 | 292 063 |
Jan 06, 2025 | $7.01 | $7.40 | $7.01 | $7.15 | 678 964 |
Jan 03, 2025 | $6.90 | $6.93 | $6.75 | $6.88 | 244 748 |
Jan 02, 2025 | $7.16 | $7.22 | $6.89 | $6.90 | 186 900 |
Dec 31, 2024 | $7.07 | $7.12 | $6.98 | $7.08 | 209 509 |
Dec 30, 2024 | $7.04 | $7.09 | $6.94 | $7.02 | 304 600 |
Dec 27, 2024 | $7.17 | $7.26 | $7.02 | $7.07 | 255 522 |
Dec 26, 2024 | $7.20 | $7.28 | $7.17 | $7.22 | 188 167 |
Dec 24, 2024 | $7.26 | $7.31 | $7.19 | $7.28 | 112 606 |
Dec 23, 2024 | $7.42 | $7.48 | $7.25 | $7.27 | 246 621 |
Dec 20, 2024 | $7.33 | $7.67 | $7.31 | $7.42 | 1 673 077 |
Dec 19, 2024 | $7.62 | $7.77 | $7.35 | $7.42 | 377 284 |
Dec 18, 2024 | $8.12 | $8.21 | $7.48 | $7.51 | 409 940 |
Dec 17, 2024 | $8.17 | $8.30 | $8.03 | $8.03 | 347 615 |
Dec 16, 2024 | $8.05 | $8.23 | $7.97 | $8.17 | 352 819 |
Dec 13, 2024 | $8.18 | $8.18 | $8.03 | $8.03 | 423 767 |
Dec 12, 2024 | $8.14 | $8.29 | $8.10 | $8.20 | 334 794 |
Dec 11, 2024 | $8.07 | $8.26 | $7.98 | $8.14 | 339 907 |
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 KRNY stock historical prices to predict future price movements?
Trend Analysis: Examine the KRNY 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 KRNY 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.