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 |
Sep 05, 2018 | $14.60 | $14.65 | $14.46 | $14.61 | 284 378 |
Sep 04, 2018 | $14.54 | $14.67 | $14.52 | $14.64 | 491 923 |
Aug 31, 2018 | $14.57 | $14.58 | $14.51 | $14.54 | 278 723 |
Aug 30, 2018 | $14.50 | $14.58 | $14.50 | $14.58 | 405 815 |
Aug 29, 2018 | $14.49 | $14.57 | $14.47 | $14.55 | 249 133 |
Aug 28, 2018 | $14.50 | $14.51 | $14.46 | $14.47 | 274 237 |
Aug 27, 2018 | $14.52 | $14.61 | $14.50 | $14.51 | 423 603 |
Aug 24, 2018 | $14.49 | $14.52 | $14.43 | $14.52 | 228 645 |
Aug 23, 2018 | $14.49 | $14.51 | $14.45 | $14.46 | 280 210 |
Aug 22, 2018 | $14.51 | $14.55 | $14.48 | $14.50 | 355 506 |
Aug 21, 2018 | $14.50 | $14.57 | $14.48 | $14.50 | 561 025 |
Aug 20, 2018 | $14.50 | $14.56 | $14.48 | $14.51 | 256 127 |
Aug 17, 2018 | $14.49 | $14.53 | $14.45 | $14.47 | 416 906 |
Aug 16, 2018 | $14.56 | $14.59 | $14.41 | $14.50 | 504 291 |
Aug 15, 2018 | $14.50 | $14.57 | $14.48 | $14.53 | 329 697 |
Aug 14, 2018 | $14.50 | $14.58 | $14.48 | $14.56 | 304 341 |
Aug 13, 2018 | $14.46 | $14.56 | $14.43 | $14.50 | 360 157 |
Aug 10, 2018 | $14.37 | $14.53 | $14.36 | $14.47 | 802 877 |
Aug 09, 2018 | $14.57 | $14.65 | $14.36 | $14.37 | 1 007 181 |
Aug 08, 2018 | $14.58 | $14.59 | $14.56 | $14.58 | 213 960 |
Aug 07, 2018 | $14.55 | $14.60 | $14.52 | $14.57 | 445 570 |
Aug 06, 2018 | $14.52 | $14.55 | $14.52 | $14.53 | 219 782 |
Aug 03, 2018 | $14.51 | $14.54 | $14.48 | $14.53 | 510 171 |
Aug 02, 2018 | $14.52 | $14.54 | $14.52 | $14.53 | 533 438 |
Aug 01, 2018 | $14.48 | $14.56 | $14.48 | $14.53 | 479 000 |
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.