NYSE:AF
Delisted
Astoria Financial Corporation Fund Price (Quote)
$21.50
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $21.50 | $21.50 | Tuesday, 16th Jan 2018 AF stock ended at $21.50. During the day the stock fluctuated 0% from a day low at $21.50 to a day high of $21.50. |
90 days | $21.44 | $21.89 | |
52 weeks | $18.20 | $21.90 |
Date | Open | High | Low | Close | Volume |
Jun 21, 2017 | $20.07 | $20.11 | $19.78 | $19.86 | 429 484 |
Jun 20, 2017 | $20.21 | $20.25 | $20.02 | $20.05 | 405 252 |
Jun 19, 2017 | $20.43 | $20.56 | $20.18 | $20.24 | 390 204 |
Jun 16, 2017 | $20.29 | $20.47 | $20.21 | $20.29 | 901 509 |
Jun 15, 2017 | $20.51 | $20.88 | $20.39 | $20.45 | 583 930 |
Jun 14, 2017 | $20.41 | $20.66 | $20.17 | $20.63 | 928 271 |
Jun 13, 2017 | $20.54 | $20.82 | $20.45 | $20.58 | 710 131 |
Jun 12, 2017 | $20.60 | $20.91 | $20.31 | $20.46 | 966 713 |
Jun 09, 2017 | $19.75 | $20.83 | $19.75 | $20.54 | 976 462 |
Jun 08, 2017 | $18.92 | $19.90 | $18.83 | $19.62 | 952 003 |
Jun 07, 2017 | $18.82 | $18.96 | $18.76 | $18.87 | 932 353 |
Jun 06, 2017 | $18.88 | $18.88 | $18.64 | $18.74 | 444 574 |
Jun 05, 2017 | $19.13 | $19.34 | $18.94 | $18.97 | 481 291 |
Jun 02, 2017 | $18.91 | $19.29 | $18.79 | $19.13 | 755 381 |
Jun 01, 2017 | $18.62 | $19.12 | $18.53 | $19.07 | 843 712 |
May 31, 2017 | $18.67 | $18.67 | $18.20 | $18.52 | 862 490 |
May 30, 2017 | $18.71 | $18.74 | $18.48 | $18.67 | 443 802 |
May 26, 2017 | $18.86 | $18.91 | $18.73 | $18.81 | 446 209 |
May 25, 2017 | $18.90 | $18.98 | $18.74 | $18.92 | 393 515 |
May 24, 2017 | $19.11 | $19.18 | $18.76 | $18.87 | 445 564 |
May 23, 2017 | $18.82 | $19.20 | $18.72 | $19.07 | 665 769 |
May 22, 2017 | $18.78 | $18.84 | $18.52 | $18.83 | 506 020 |
May 19, 2017 | $18.72 | $18.96 | $18.69 | $18.70 | 719 342 |
May 18, 2017 | $18.79 | $19.02 | $18.68 | $18.75 | 928 219 |
May 17, 2017 | $19.32 | $19.36 | $18.61 | $18.82 | 974 071 |
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 AF stock historical prices to predict future price movements?
Trend Analysis: Examine the AF 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 AF 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.