NASDAQ:QSII
Delisted
Quality Systems Fund Price (Quote)
$22.35
+0 (+0%)
At Close: Sep 20, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $21.83 | $23.17 | Thursday, 20th Sep 2018 QSII stock ended at $22.35. During the day the stock fluctuated 0% from a day low at $22.35 to a day high of $22.35. |
90 days | $19.30 | $23.73 | |
52 weeks | $12.24 | $23.73 |
Date | Open | High | Low | Close | Volume |
Apr 30, 2018 | $13.52 | $13.60 | $13.39 | $13.43 | 255 122 |
Apr 27, 2018 | $13.63 | $13.68 | $13.50 | $13.53 | 162 318 |
Apr 26, 2018 | $13.78 | $13.80 | $13.58 | $13.62 | 189 282 |
Apr 25, 2018 | $13.69 | $13.79 | $13.45 | $13.71 | 145 058 |
Apr 24, 2018 | $13.95 | $14.04 | $13.60 | $13.71 | 247 200 |
Apr 23, 2018 | $14.11 | $14.17 | $13.96 | $14.11 | 181 895 |
Apr 20, 2018 | $13.97 | $14.11 | $13.95 | $14.06 | 164 785 |
Apr 19, 2018 | $13.92 | $14.07 | $13.81 | $14.00 | 217 345 |
Apr 18, 2018 | $13.91 | $14.08 | $13.75 | $13.94 | 193 311 |
Apr 17, 2018 | $13.57 | $13.94 | $13.56 | $13.89 | 205 086 |
Apr 16, 2018 | $13.37 | $13.66 | $13.27 | $13.51 | 198 500 |
Apr 13, 2018 | $13.52 | $13.53 | $13.25 | $13.28 | 176 665 |
Apr 12, 2018 | $13.55 | $13.60 | $13.35 | $13.45 | 222 964 |
Apr 11, 2018 | $13.51 | $13.68 | $13.48 | $13.53 | 282 092 |
Apr 10, 2018 | $13.70 | $13.70 | $13.32 | $13.57 | 345 509 |
Apr 09, 2018 | $14.36 | $14.36 | $13.56 | $13.61 | 398 236 |
Apr 06, 2018 | $14.01 | $14.40 | $13.37 | $14.28 | 981 078 |
Apr 05, 2018 | $13.90 | $14.29 | $13.48 | $14.25 | 353 082 |
Apr 04, 2018 | $13.44 | $13.87 | $13.44 | $13.82 | 303 142 |
Apr 03, 2018 | $13.71 | $13.71 | $13.31 | $13.57 | 329 047 |
Apr 02, 2018 | $13.65 | $13.74 | $13.47 | $13.65 | 354 138 |
Mar 29, 2018 | $13.66 | $13.75 | $13.45 | $13.65 | 313 871 |
Mar 28, 2018 | $13.38 | $13.75 | $13.34 | $13.58 | 421 306 |
Mar 27, 2018 | $13.51 | $13.59 | $13.26 | $13.39 | 299 877 |
Mar 26, 2018 | $13.39 | $13.53 | $13.19 | $13.51 | 299 582 |
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 QSII stock historical prices to predict future price movements?
Trend Analysis: Examine the QSII 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 QSII 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.