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 |
Historical Quantenna Communications Inc prices
Date | Open | High | Low | Close | Volume |
Jun 06, 2017 | $19.75 | $20.12 | $19.65 | $19.98 | 258 511 |
Jun 05, 2017 | $20.23 | $20.54 | $19.75 | $19.90 | 294 328 |
Jun 02, 2017 | $20.24 | $20.69 | $19.60 | $20.25 | 608 059 |
Jun 01, 2017 | $19.19 | $20.38 | $19.01 | $20.24 | 846 630 |
May 31, 2017 | $19.15 | $19.42 | $18.84 | $19.12 | 322 327 |
May 30, 2017 | $19.29 | $19.49 | $19.08 | $19.13 | 349 202 |
May 26, 2017 | $19.03 | $19.41 | $18.70 | $19.11 | 461 931 |
May 25, 2017 | $19.77 | $19.77 | $18.94 | $19.05 | 545 317 |
May 24, 2017 | $20.23 | $20.30 | $19.51 | $19.65 | 1 529 094 |
May 23, 2017 | $21.16 | $21.24 | $20.51 | $20.57 | 523 203 |
May 22, 2017 | $20.70 | $21.22 | $20.44 | $21.13 | 648 121 |
May 19, 2017 | $20.49 | $20.78 | $20.14 | $20.59 | 242 382 |
May 18, 2017 | $20.50 | $20.76 | $19.90 | $20.45 | 364 939 |
May 17, 2017 | $20.84 | $21.05 | $20.56 | $20.62 | 277 688 |
May 16, 2017 | $21.16 | $21.22 | $20.80 | $21.10 | 228 766 |
May 15, 2017 | $20.60 | $21.29 | $20.37 | $21.16 | 490 731 |
May 12, 2017 | $20.75 | $20.87 | $20.25 | $20.47 | 353 454 |
May 11, 2017 | $21.00 | $21.00 | $20.56 | $20.71 | 358 997 |
May 10, 2017 | $21.49 | $21.52 | $20.90 | $20.95 | 590 740 |
May 09, 2017 | $21.50 | $22.50 | $20.10 | $21.40 | 1 701 147 |
May 08, 2017 | $19.37 | $20.47 | $19.05 | $20.19 | 666 612 |
May 05, 2017 | $19.06 | $19.42 | $18.78 | $19.40 | 220 416 |
May 04, 2017 | $18.21 | $19.06 | $18.20 | $19.03 | 276 732 |
May 03, 2017 | $18.15 | $18.44 | $18.02 | $18.26 | 166 405 |
May 02, 2017 | $18.19 | $18.43 | $17.90 | $18.28 | 160 929 |
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.