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 |
Nov 10, 2016 | $22.80 | $22.94 | $22.68 | $22.83 | 580 946 |
Nov 09, 2016 | $22.78 | $23.00 | $22.65 | $22.77 | 782 081 |
Nov 08, 2016 | $22.80 | $22.94 | $22.75 | $22.85 | 600 217 |
Nov 07, 2016 | $22.62 | $23.02 | $22.60 | $22.95 | 1 391 500 |
Nov 04, 2016 | $22.50 | $22.85 | $22.45 | $22.63 | 1 116 400 |
Nov 03, 2016 | $22.56 | $22.87 | $22.45 | $22.58 | 5 654 200 |
Nov 02, 2016 | $16.69 | $16.86 | $16.39 | $16.74 | 363 300 |
Nov 01, 2016 | $16.80 | $16.89 | $16.70 | $16.76 | 271 300 |
Oct 31, 2016 | $16.42 | $16.83 | $16.31 | $16.79 | 347 900 |
Oct 28, 2016 | $16.34 | $16.70 | $16.21 | $16.42 | 131 500 |
Oct 27, 2016 | $16.35 | $16.57 | $16.14 | $16.30 | 161 100 |
Oct 26, 2016 | $16.36 | $16.48 | $16.11 | $16.27 | 178 900 |
Oct 25, 2016 | $16.54 | $16.74 | $16.29 | $16.38 | 134 200 |
Oct 24, 2016 | $16.32 | $16.72 | $16.21 | $16.55 | 110 200 |
Oct 21, 2016 | $16.38 | $16.68 | $16.23 | $16.26 | 141 700 |
Oct 20, 2016 | $16.94 | $16.94 | $16.39 | $16.44 | 165 400 |
Oct 19, 2016 | $16.95 | $17.04 | $16.89 | $16.98 | 109 100 |
Oct 18, 2016 | $16.94 | $17.18 | $16.77 | $16.89 | 156 100 |
Oct 17, 2016 | $16.52 | $16.91 | $16.52 | $16.72 | 177 600 |
Oct 14, 2016 | $16.46 | $16.68 | $16.41 | $16.58 | 126 800 |
Oct 13, 2016 | $16.52 | $16.65 | $16.37 | $16.46 | 173 600 |
Oct 12, 2016 | $16.70 | $16.91 | $16.55 | $16.66 | 234 300 |
Oct 11, 2016 | $16.79 | $16.84 | $16.52 | $16.64 | 230 100 |
Oct 10, 2016 | $16.49 | $16.86 | $16.20 | $16.80 | 161 800 |
Oct 07, 2016 | $16.65 | $16.65 | $16.29 | $16.49 | 124 900 |
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.