NASDAQ:QTNA
Delisted
Quantenna Communications Inc Stock Price (Quote)
$24.51
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $24.51 | $24.51 | Tuesday, 17th Sep 2019 QTNA stock ended at $24.51. During the day the stock fluctuated 0% from a day low at $24.51 to a day high of $24.51. |
90 days | $24.51 | $24.51 | |
52 weeks | $13.03 | $24.63 |
Date | Open | High | Low | Close | Volume |
Jan 07, 2019 | $14.40 | $14.54 | $14.07 | $14.48 | 238 808 |
Jan 04, 2019 | $13.95 | $14.36 | $13.67 | $14.28 | 271 279 |
Jan 03, 2019 | $14.00 | $14.18 | $13.75 | $13.75 | 227 487 |
Jan 02, 2019 | $14.06 | $14.31 | $13.92 | $14.24 | 320 096 |
Dec 31, 2018 | $14.20 | $14.43 | $14.03 | $14.35 | 379 362 |
Dec 28, 2018 | $14.16 | $14.41 | $13.92 | $14.14 | 169 593 |
Dec 27, 2018 | $13.84 | $14.16 | $13.69 | $14.16 | 126 466 |
Dec 26, 2018 | $13.66 | $14.05 | $13.40 | $14.04 | 216 691 |
Dec 24, 2018 | $13.51 | $13.89 | $13.51 | $13.58 | 107 836 |
Dec 21, 2018 | $14.23 | $14.29 | $13.53 | $13.58 | 523 145 |
Dec 20, 2018 | $14.40 | $14.62 | $13.83 | $14.12 | 737 844 |
Dec 19, 2018 | $14.63 | $14.75 | $14.26 | $14.47 | 388 077 |
Dec 18, 2018 | $14.50 | $14.73 | $14.46 | $14.62 | 282 191 |
Dec 17, 2018 | $14.74 | $14.94 | $14.33 | $14.40 | 414 392 |
Dec 14, 2018 | $14.69 | $15.09 | $14.62 | $14.86 | 247 686 |
Dec 13, 2018 | $15.02 | $15.04 | $14.64 | $14.81 | 270 230 |
Dec 12, 2018 | $14.91 | $15.17 | $14.85 | $14.92 | 203 378 |
Dec 11, 2018 | $14.88 | $15.17 | $14.66 | $14.81 | 283 076 |
Dec 10, 2018 | $14.65 | $14.87 | $14.25 | $14.86 | 415 760 |
Dec 07, 2018 | $14.94 | $15.28 | $14.64 | $14.69 | 306 665 |
Dec 06, 2018 | $14.64 | $15.11 | $14.55 | $15.00 | 479 508 |
Dec 04, 2018 | $15.11 | $15.46 | $14.86 | $14.92 | 237 498 |
Dec 03, 2018 | $15.25 | $15.54 | $15.11 | $15.22 | 254 800 |
Nov 30, 2018 | $14.70 | $15.07 | $14.70 | $14.98 | 289 907 |
Nov 29, 2018 | $15.43 | $15.59 | $14.64 | $14.65 | 452 328 |
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 QTNA stock historical prices to predict future price movements?
Trend Analysis: Examine the QTNA 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 QTNA 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.