NYSE:ANF
Abercrombie & Fitch Company Stock Price (Quote)
$172.70
+3.05 (+1.80%)
At Close: Jun 05, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $127.11 | $196.99 | Wednesday, 5th Jun 2024 ANF stock ended at $172.70. This is 1.80% more than the trading day before Tuesday, 4th Jun 2024. During the day the stock fluctuated 3.37% from a day low at $168.02 to a day high of $173.68. |
90 days | $108.53 | $196.99 | |
52 weeks | $33.12 | $196.99 |
Historical Abercrombie & Fitch Company prices
Date | Open | High | Low | Close | Volume |
May 16, 2017 | $13.52 | $13.73 | $13.33 | $13.54 | 2 900 477 |
May 15, 2017 | $13.87 | $14.04 | $13.56 | $13.73 | 5 574 600 |
May 12, 2017 | $13.84 | $14.10 | $13.73 | $13.83 | 4 168 729 |
May 11, 2017 | $14.07 | $14.29 | $13.96 | $14.10 | 7 471 102 |
May 10, 2017 | $13.90 | $14.50 | $13.31 | $14.22 | 15 978 816 |
May 09, 2017 | $12.63 | $12.89 | $12.60 | $12.67 | 1 996 655 |
May 08, 2017 | $12.58 | $12.98 | $12.56 | $12.64 | 2 957 001 |
May 05, 2017 | $12.09 | $12.62 | $12.06 | $12.52 | 3 177 822 |
May 04, 2017 | $12.32 | $12.39 | $11.98 | $12.03 | 2 800 034 |
May 03, 2017 | $12.35 | $12.46 | $12.16 | $12.35 | 2 207 062 |
May 02, 2017 | $11.99 | $12.50 | $11.85 | $12.45 | 2 868 998 |
May 01, 2017 | $12.02 | $12.11 | $11.88 | $11.99 | 1 873 758 |
Apr 28, 2017 | $12.00 | $12.15 | $11.93 | $11.99 | 2 051 254 |
Apr 27, 2017 | $12.09 | $12.16 | $11.83 | $12.12 | 2 232 268 |
Apr 26, 2017 | $11.84 | $12.27 | $11.77 | $12.09 | 3 500 178 |
Apr 25, 2017 | $11.94 | $12.10 | $11.77 | $11.78 | 2 392 092 |
Apr 24, 2017 | $11.82 | $12.06 | $11.73 | $11.93 | 2 947 719 |
Apr 21, 2017 | $11.69 | $11.69 | $11.34 | $11.68 | 2 653 289 |
Apr 20, 2017 | $11.23 | $12.02 | $11.21 | $11.70 | 6 069 502 |
Apr 19, 2017 | $11.07 | $11.28 | $11.05 | $11.11 | 1 862 153 |
Apr 18, 2017 | $11.06 | $11.14 | $10.78 | $11.04 | 2 760 190 |
Apr 17, 2017 | $10.83 | $10.96 | $10.64 | $10.94 | 1 948 242 |
Apr 13, 2017 | $11.13 | $11.17 | $10.73 | $10.82 | 2 428 392 |
Apr 12, 2017 | $11.22 | $11.30 | $11.07 | $11.13 | 1 663 877 |
Apr 11, 2017 | $10.93 | $11.27 | $10.75 | $11.23 | 3 250 060 |
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 ANF stock historical prices to predict future price movements?
Trend Analysis: Examine the ANF 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 ANF 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.