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 |
Mar 20, 2019 | $20.68 | $21.05 | $20.46 | $20.80 | 1 094 366 |
Mar 19, 2019 | $21.15 | $21.35 | $20.68 | $20.69 | 433 597 |
Mar 18, 2019 | $21.39 | $21.64 | $20.68 | $21.10 | 639 806 |
Mar 15, 2019 | $21.16 | $21.30 | $20.82 | $21.30 | 701 002 |
Mar 14, 2019 | $20.87 | $21.43 | $20.81 | $21.06 | 749 406 |
Mar 13, 2019 | $20.45 | $21.05 | $20.40 | $20.81 | 1 158 871 |
Mar 12, 2019 | $18.45 | $20.25 | $18.44 | $20.16 | 2 786 379 |
Mar 11, 2019 | $18.31 | $18.73 | $18.04 | $18.47 | 2 241 065 |
Mar 08, 2019 | $17.93 | $18.42 | $17.76 | $18.25 | 274 907 |
Mar 07, 2019 | $18.39 | $18.39 | $18.02 | $18.11 | 518 559 |
Mar 06, 2019 | $18.47 | $18.61 | $18.13 | $18.45 | 450 759 |
Mar 05, 2019 | $18.27 | $18.57 | $18.12 | $18.47 | 466 997 |
Mar 04, 2019 | $18.37 | $18.47 | $17.95 | $18.27 | 511 411 |
Mar 01, 2019 | $18.23 | $18.42 | $18.03 | $18.30 | 440 433 |
Feb 28, 2019 | $18.51 | $18.64 | $18.09 | $18.15 | 411 375 |
Feb 27, 2019 | $18.50 | $18.67 | $18.43 | $18.55 | 435 496 |
Feb 26, 2019 | $18.80 | $19.07 | $18.48 | $18.51 | 502 347 |
Feb 25, 2019 | $18.43 | $19.24 | $18.33 | $18.90 | 641 733 |
Feb 22, 2019 | $18.04 | $18.33 | $17.97 | $18.33 | 518 307 |
Feb 21, 2019 | $17.85 | $18.15 | $17.68 | $18.02 | 489 105 |
Feb 20, 2019 | $17.80 | $18.04 | $17.70 | $17.86 | 433 316 |
Feb 19, 2019 | $17.61 | $17.89 | $17.48 | $17.78 | 296 763 |
Feb 15, 2019 | $17.79 | $17.79 | $17.52 | $17.66 | 394 693 |
Feb 14, 2019 | $18.00 | $18.01 | $17.58 | $17.61 | 360 628 |
Feb 13, 2019 | $17.72 | $18.00 | $17.61 | $18.00 | 559 158 |
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.