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 |
Oct 23, 2018 | $16.36 | $16.86 | $16.15 | $16.70 | 569 485 |
Oct 22, 2018 | $16.66 | $16.94 | $16.49 | $16.55 | 346 279 |
Oct 19, 2018 | $17.21 | $17.33 | $16.63 | $16.65 | 116 747 |
Oct 18, 2018 | $17.22 | $17.42 | $17.00 | $17.20 | 176 044 |
Oct 17, 2018 | $17.52 | $17.69 | $16.98 | $17.25 | 247 302 |
Oct 16, 2018 | $16.70 | $17.58 | $16.63 | $17.53 | 250 848 |
Oct 15, 2018 | $16.36 | $16.83 | $16.18 | $16.55 | 222 375 |
Oct 12, 2018 | $16.72 | $17.02 | $16.25 | $16.45 | 514 346 |
Oct 11, 2018 | $15.98 | $16.63 | $15.98 | $16.24 | 299 373 |
Oct 10, 2018 | $16.13 | $16.49 | $16.13 | $16.17 | 261 753 |
Oct 09, 2018 | $16.54 | $16.75 | $16.30 | $16.49 | 147 288 |
Oct 08, 2018 | $16.84 | $17.00 | $16.46 | $16.61 | 317 905 |
Oct 05, 2018 | $17.49 | $17.55 | $16.53 | $16.86 | 164 987 |
Oct 04, 2018 | $17.78 | $17.91 | $17.31 | $17.48 | 158 847 |
Oct 03, 2018 | $17.53 | $17.94 | $17.28 | $17.85 | 184 829 |
Oct 02, 2018 | $18.04 | $18.16 | $17.38 | $17.48 | 189 308 |
Oct 01, 2018 | $18.41 | $18.42 | $17.87 | $18.07 | 305 910 |
Sep 28, 2018 | $18.39 | $18.56 | $18.25 | $18.45 | 158 540 |
Sep 27, 2018 | $18.56 | $18.63 | $18.29 | $18.45 | 98 298 |
Sep 26, 2018 | $18.14 | $18.74 | $17.92 | $18.49 | 155 325 |
Sep 25, 2018 | $18.72 | $18.72 | $18.23 | $18.61 | 196 469 |
Sep 24, 2018 | $18.84 | $18.88 | $18.58 | $18.67 | 170 307 |
Sep 21, 2018 | $18.85 | $19.00 | $18.64 | $18.87 | 528 303 |
Sep 20, 2018 | $18.78 | $18.96 | $18.62 | $18.84 | 152 027 |
Sep 19, 2018 | $18.75 | $18.95 | $18.54 | $18.71 | 350 725 |
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.