NASDAQ:AFSI
Delisted
AmTrust Financial Services Fund Price (Quote)
$14.75
+0 (+0%)
At Close: Dec 21, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $13.92 | $14.77 | Friday, 21st Dec 2018 AFSI stock ended at $14.75. During the day the stock fluctuated 0% from a day low at $14.75 to a day high of $14.75. |
90 days | $13.79 | $14.77 | |
52 weeks | $9.86 | $14.77 |
Date | Open | High | Low | Close | Volume |
Oct 10, 2018 | $14.33 | $14.50 | $14.26 | $14.26 | 440 610 |
Oct 09, 2018 | $14.26 | $14.39 | $14.26 | $14.33 | 644 063 |
Oct 08, 2018 | $14.32 | $14.34 | $14.24 | $14.29 | 303 624 |
Oct 05, 2018 | $14.31 | $14.38 | $14.26 | $14.33 | 426 904 |
Oct 04, 2018 | $14.35 | $14.39 | $14.01 | $14.36 | 303 961 |
Oct 03, 2018 | $14.41 | $14.45 | $14.21 | $14.38 | 777 927 |
Oct 02, 2018 | $14.45 | $14.52 | $14.40 | $14.41 | 432 736 |
Oct 01, 2018 | $14.56 | $14.62 | $14.38 | $14.41 | 677 362 |
Sep 28, 2018 | $14.52 | $14.63 | $14.47 | $14.52 | 533 802 |
Sep 27, 2018 | $14.65 | $14.66 | $14.48 | $14.50 | 780 544 |
Sep 26, 2018 | $14.54 | $14.66 | $14.54 | $14.64 | 643 010 |
Sep 25, 2018 | $14.59 | $14.66 | $14.50 | $14.63 | 722 573 |
Sep 24, 2018 | $14.60 | $14.64 | $14.55 | $14.60 | 438 640 |
Sep 21, 2018 | $14.60 | $14.62 | $14.59 | $14.60 | 977 870 |
Sep 20, 2018 | $14.60 | $14.66 | $14.58 | $14.61 | 475 449 |
Sep 19, 2018 | $14.52 | $14.64 | $14.52 | $14.62 | 464 097 |
Sep 18, 2018 | $14.47 | $14.60 | $14.42 | $14.58 | 479 145 |
Sep 17, 2018 | $14.47 | $14.52 | $14.45 | $14.50 | 244 154 |
Sep 14, 2018 | $14.52 | $14.53 | $14.47 | $14.47 | 228 395 |
Sep 13, 2018 | $14.51 | $14.54 | $14.44 | $14.52 | 198 503 |
Sep 12, 2018 | $14.52 | $14.55 | $14.46 | $14.46 | 351 970 |
Sep 11, 2018 | $14.49 | $14.55 | $14.48 | $14.53 | 266 076 |
Sep 10, 2018 | $14.53 | $14.53 | $14.46 | $14.49 | 289 240 |
Sep 07, 2018 | $14.60 | $14.63 | $14.53 | $14.55 | 310 822 |
Sep 06, 2018 | $14.56 | $14.62 | $14.56 | $14.60 | 263 604 |
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 AFSI stock historical prices to predict future price movements?
Trend Analysis: Examine the AFSI 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 AFSI 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.