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 |
Jul 27, 2017 | $19.49 | $20.06 | $19.49 | $19.79 | 522 515 |
Jul 26, 2017 | $20.36 | $20.36 | $19.32 | $19.59 | 747 059 |
Jul 25, 2017 | $20.03 | $20.38 | $20.03 | $20.35 | 441 926 |
Jul 24, 2017 | $19.58 | $19.81 | $19.49 | $19.80 | 280 633 |
Jul 21, 2017 | $20.01 | $20.01 | $19.50 | $19.59 | 407 748 |
Jul 20, 2017 | $19.78 | $19.84 | $19.61 | $19.77 | 198 895 |
Jul 19, 2017 | $19.83 | $19.99 | $19.69 | $19.80 | 279 888 |
Jul 18, 2017 | $19.88 | $20.04 | $19.70 | $19.83 | 312 142 |
Jul 17, 2017 | $19.96 | $20.08 | $19.88 | $20.03 | 336 942 |
Jul 14, 2017 | $20.04 | $20.16 | $19.80 | $20.06 | 387 329 |
Jul 13, 2017 | $20.16 | $20.25 | $20.02 | $20.21 | 400 792 |
Jul 12, 2017 | $20.15 | $20.37 | $20.03 | $20.17 | 479 109 |
Jul 11, 2017 | $20.21 | $20.31 | $20.02 | $20.23 | 729 110 |
Jul 10, 2017 | $20.43 | $20.52 | $20.26 | $20.26 | 500 563 |
Jul 07, 2017 | $20.44 | $20.58 | $20.27 | $20.51 | 541 987 |
Jul 06, 2017 | $20.56 | $20.63 | $20.30 | $20.37 | 771 042 |
Jul 05, 2017 | $20.57 | $20.63 | $20.27 | $20.56 | 752 237 |
Jul 03, 2017 | $20.25 | $20.76 | $20.23 | $20.55 | 323 327 |
Jun 30, 2017 | $20.56 | $20.56 | $20.06 | $20.15 | 677 026 |
Jun 29, 2017 | $20.39 | $20.55 | $20.06 | $20.43 | 562 365 |
Jun 28, 2017 | $19.85 | $20.11 | $19.85 | $19.98 | 713 071 |
Jun 27, 2017 | $19.72 | $20.04 | $19.69 | $19.74 | 639 761 |
Jun 26, 2017 | $19.44 | $19.72 | $19.35 | $19.63 | 668 103 |
Jun 23, 2017 | $19.78 | $19.80 | $19.41 | $19.41 | 2 065 601 |
Jun 22, 2017 | $19.85 | $19.97 | $19.60 | $19.73 | 345 405 |
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.