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 |
Jul 31, 2018 | $14.62 | $14.65 | $14.48 | $14.48 | 1 180 025 |
Jul 30, 2018 | $14.61 | $14.65 | $14.59 | $14.62 | 823 836 |
Jul 27, 2018 | $14.63 | $14.69 | $14.63 | $14.64 | 420 404 |
Jul 26, 2018 | $14.61 | $14.68 | $14.61 | $14.62 | 470 538 |
Jul 25, 2018 | $14.58 | $14.65 | $14.56 | $14.63 | 302 992 |
Jul 24, 2018 | $14.62 | $14.64 | $14.61 | $14.63 | 369 319 |
Jul 23, 2018 | $14.56 | $14.64 | $14.56 | $14.64 | 437 824 |
Jul 20, 2018 | $14.56 | $14.60 | $14.56 | $14.56 | 358 309 |
Jul 19, 2018 | $14.59 | $14.59 | $14.55 | $14.56 | 429 762 |
Jul 18, 2018 | $14.59 | $14.65 | $14.57 | $14.58 | 447 093 |
Jul 17, 2018 | $14.56 | $14.63 | $14.54 | $14.61 | 510 248 |
Jul 16, 2018 | $14.53 | $14.57 | $14.53 | $14.57 | 820 159 |
Jul 13, 2018 | $14.55 | $14.59 | $14.51 | $14.54 | 670 475 |
Jul 12, 2018 | $14.52 | $14.59 | $14.48 | $14.58 | 577 687 |
Jul 11, 2018 | $14.49 | $14.52 | $14.41 | $14.50 | 1 078 938 |
Jul 10, 2018 | $14.56 | $14.58 | $14.48 | $14.51 | 1 746 631 |
Jul 09, 2018 | $14.59 | $14.60 | $14.55 | $14.56 | 1 121 999 |
Jul 06, 2018 | $14.58 | $14.60 | $14.54 | $14.59 | 1 162 601 |
Jul 05, 2018 | $14.58 | $14.60 | $14.58 | $14.58 | 725 019 |
Jul 03, 2018 | $14.60 | $14.61 | $14.58 | $14.58 | 302 224 |
Jul 02, 2018 | $14.56 | $14.68 | $14.55 | $14.60 | 1 118 619 |
Jun 29, 2018 | $14.56 | $14.64 | $14.55 | $14.57 | 1 962 934 |
Jun 28, 2018 | $14.55 | $14.58 | $14.54 | $14.56 | 1 572 495 |
Jun 27, 2018 | $14.54 | $14.58 | $14.53 | $14.56 | 1 205 817 |
Jun 26, 2018 | $14.52 | $14.55 | $14.51 | $14.53 | 1 185 447 |
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.