NYSE:HIVE
Delisted
Aerohive Networks Inc Stock Price (Quote)
$4.44
+0 (+0%)
At Close: Oct 11, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.44 | $4.44 | Friday, 11th Oct 2019 HIVE stock ended at $4.44. During the day the stock fluctuated 0% from a day low at $4.44 to a day high of $4.44. |
90 days | $0.300 | $4.46 | |
52 weeks | $0.300 | $5.18 |
Date | Open | High | Low | Close | Volume |
Aug 20, 2019 | $0.310 | $0.320 | $0.300 | $0.300 | 406 200 |
Aug 19, 2019 | $0.330 | $0.330 | $0.300 | $0.310 | 625 200 |
Aug 16, 2019 | $0.320 | $0.330 | $0.320 | $0.320 | 355 700 |
Aug 15, 2019 | $0.330 | $0.330 | $0.320 | $0.320 | 249 700 |
Aug 14, 2019 | $0.330 | $0.340 | $0.330 | $0.330 | 654 300 |
Aug 13, 2019 | $0.320 | $0.340 | $0.320 | $0.320 | 1 221 300 |
Aug 12, 2019 | $0.360 | $0.360 | $0.320 | $0.330 | 585 600 |
Aug 09, 2019 | $0.370 | $0.370 | $0.360 | $0.360 | 448 400 |
Aug 08, 2019 | $4.44 | $4.45 | $4.44 | $4.44 | 270 319 |
Aug 07, 2019 | $4.44 | $4.45 | $4.44 | $4.45 | 153 512 |
Aug 06, 2019 | $4.45 | $4.45 | $4.44 | $4.44 | 230 716 |
Aug 05, 2019 | $4.44 | $4.45 | $4.44 | $4.45 | 303 598 |
Aug 02, 2019 | $4.45 | $4.46 | $4.44 | $4.46 | 439 429 |
Aug 01, 2019 | $4.44 | $4.46 | $4.44 | $4.46 | 1 933 644 |
Jul 31, 2019 | $4.45 | $4.45 | $4.44 | $4.44 | 2 696 252 |
Jul 30, 2019 | $4.43 | $4.44 | $4.43 | $4.43 | 967 231 |
Jul 29, 2019 | $4.44 | $4.45 | $4.43 | $4.43 | 752 426 |
Jul 26, 2019 | $4.43 | $4.45 | $4.43 | $4.44 | 732 419 |
Jul 25, 2019 | $4.44 | $4.44 | $4.43 | $4.43 | 134 207 |
Jul 24, 2019 | $4.43 | $4.44 | $4.43 | $4.43 | 817 175 |
Jul 23, 2019 | $4.43 | $4.44 | $4.43 | $4.44 | 313 880 |
Jul 22, 2019 | $4.43 | $4.44 | $4.43 | $4.43 | 620 175 |
Jul 19, 2019 | $4.43 | $4.44 | $4.43 | $4.43 | 1 186 840 |
Jul 18, 2019 | $4.43 | $4.44 | $4.43 | $4.43 | 2 315 461 |
Jul 17, 2019 | $4.42 | $4.44 | $4.42 | $4.44 | 481 711 |
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 HIVE stock historical prices to predict future price movements?
Trend Analysis: Examine the HIVE 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 HIVE 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.