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 |
Jan 27, 2017 | $18.64 | $19.15 | $18.64 | $19.05 | 2 277 730 |
Jan 26, 2017 | $18.50 | $19.10 | $18.31 | $18.85 | 3 239 385 |
Jan 25, 2017 | $19.11 | $19.26 | $18.26 | $18.88 | 1 846 505 |
Jan 24, 2017 | $18.69 | $18.91 | $18.61 | $18.89 | 464 169 |
Jan 23, 2017 | $18.64 | $18.78 | $18.50 | $18.63 | 404 142 |
Jan 20, 2017 | $18.62 | $18.82 | $18.58 | $18.73 | 600 159 |
Jan 19, 2017 | $18.62 | $18.67 | $18.44 | $18.58 | 653 835 |
Jan 18, 2017 | $18.57 | $18.68 | $18.43 | $18.64 | 544 782 |
Jan 17, 2017 | $18.61 | $18.61 | $18.39 | $18.46 | 770 922 |
Jan 13, 2017 | $18.74 | $18.94 | $18.57 | $18.75 | 781 602 |
Jan 12, 2017 | $18.77 | $18.77 | $18.35 | $18.63 | 1 158 707 |
Jan 11, 2017 | $18.71 | $18.94 | $18.57 | $18.87 | 920 573 |
Jan 10, 2017 | $18.50 | $18.73 | $18.46 | $18.64 | 878 313 |
Jan 09, 2017 | $18.56 | $18.67 | $18.32 | $18.51 | 892 554 |
Jan 06, 2017 | $18.90 | $18.97 | $18.60 | $18.72 | 1 172 226 |
Jan 05, 2017 | $18.89 | $18.98 | $18.43 | $18.76 | 1 458 600 |
Jan 04, 2017 | $19.02 | $19.25 | $18.98 | $19.02 | 1 634 832 |
Jan 03, 2017 | $18.80 | $19.03 | $18.61 | $18.91 | 1 641 214 |
Dec 30, 2016 | $18.80 | $18.80 | $18.58 | $18.65 | 915 508 |
Dec 29, 2016 | $18.42 | $18.80 | $18.42 | $18.73 | 1 024 141 |
Dec 28, 2016 | $18.58 | $18.65 | $18.44 | $18.47 | 832 380 |
Dec 27, 2016 | $18.55 | $18.66 | $18.50 | $18.60 | 653 079 |
Dec 23, 2016 | $18.78 | $18.85 | $18.47 | $18.55 | 1 143 467 |
Dec 22, 2016 | $18.93 | $18.93 | $18.39 | $18.72 | 3 123 157 |
Dec 21, 2016 | $18.26 | $19.05 | $18.26 | $18.93 | 5 625 510 |
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.