NASDAQ:IQNT
Delisted
Inteliquent Fund Price (Quote)
$22.90
+0 (+0%)
At Close: Jul 10, 2017
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $22.90 | $22.90 | Monday, 10th Jul 2017 IQNT stock ended at $22.90. During the day the stock fluctuated 0% from a day low at $22.90 to a day high of $22.90. |
90 days | $22.90 | $22.90 | |
52 weeks | $14.90 | $23.67 |
Date | Open | High | Low | Close | Volume |
Jun 21, 2016 | $17.60 | $17.61 | $17.37 | $17.27 | 88 100 |
Jun 20, 2016 | $17.55 | $17.74 | $17.47 | $17.34 | 159 400 |
Jun 17, 2016 | $17.70 | $17.70 | $17.25 | $17.10 | 281 500 |
Jun 16, 2016 | $17.57 | $17.79 | $17.44 | $17.67 | 154 713 |
Jun 15, 2016 | $18.21 | $18.21 | $17.68 | $17.69 | 138 867 |
Jun 14, 2016 | $17.32 | $18.45 | $17.26 | $18.24 | 550 258 |
Jun 13, 2016 | $17.35 | $17.46 | $17.18 | $17.32 | 116 725 |
Jun 10, 2016 | $17.42 | $17.55 | $17.10 | $17.35 | 183 328 |
Jun 09, 2016 | $17.94 | $17.98 | $17.62 | $17.62 | 181 824 |
Jun 08, 2016 | $17.85 | $18.20 | $17.66 | $17.95 | 184 568 |
Jun 07, 2016 | $17.71 | $17.94 | $17.67 | $17.84 | 140 978 |
Jun 06, 2016 | $18.03 | $18.19 | $17.59 | $17.64 | 219 734 |
Jun 03, 2016 | $17.70 | $18.15 | $17.67 | $18.04 | 308 040 |
Jun 02, 2016 | $16.56 | $17.91 | $16.45 | $17.83 | 577 525 |
Jun 01, 2016 | $16.61 | $16.81 | $16.41 | $16.62 | 295 300 |
May 31, 2016 | $16.67 | $16.85 | $16.61 | $16.72 | 182 168 |
May 27, 2016 | $16.52 | $16.88 | $16.52 | $16.65 | 135 162 |
May 26, 2016 | $16.57 | $16.66 | $16.39 | $16.57 | 118 014 |
May 25, 2016 | $16.46 | $16.53 | $16.19 | $16.51 | 183 571 |
May 24, 2016 | $16.15 | $16.43 | $16.15 | $16.38 | 132 454 |
May 23, 2016 | $16.14 | $16.51 | $16.01 | $16.27 | 154 909 |
May 20, 2016 | $16.03 | $16.26 | $15.93 | $16.23 | 166 435 |
May 19, 2016 | $16.32 | $16.32 | $15.78 | $16.02 | 381 899 |
May 18, 2016 | $16.63 | $16.76 | $15.86 | $16.32 | 227 612 |
May 17, 2016 | $16.86 | $17.07 | $16.48 | $16.59 | 325 005 |
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 IQNT stock historical prices to predict future price movements?
Trend Analysis: Examine the IQNT 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 IQNT 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.