NYSE:NOVA
Sunnova Energy International Inc Stock Price (Quote)
$4.20
-0.390 (-8.50%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.37 | $5.61 | Friday, 17th May 2024 NOVA stock ended at $4.20. This is 8.50% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.70% from a day low at $4.18 to a day high of $4.58. |
90 days | $3.37 | $11.88 | |
52 weeks | $3.37 | $24.56 |
Date | Open | High | Low | Close | Volume |
Sep 17, 2019 | $10.19 | $10.70 | $10.01 | $10.44 | 139 150 |
Sep 16, 2019 | $10.25 | $10.47 | $10.16 | $10.28 | 162 038 |
Sep 13, 2019 | $10.18 | $10.34 | $10.10 | $10.26 | 111 039 |
Sep 12, 2019 | $10.36 | $10.55 | $9.88 | $10.16 | 104 498 |
Sep 11, 2019 | $10.28 | $10.75 | $10.09 | $10.31 | 218 034 |
Sep 10, 2019 | $10.65 | $10.87 | $10.18 | $10.34 | 179 104 |
Sep 09, 2019 | $11.53 | $11.53 | $10.51 | $10.68 | 331 090 |
Sep 06, 2019 | $10.95 | $11.88 | $10.91 | $11.52 | 191 538 |
Sep 05, 2019 | $10.93 | $11.32 | $10.53 | $11.01 | 231 742 |
Sep 04, 2019 | $10.86 | $11.00 | $10.61 | $10.83 | 229 306 |
Sep 03, 2019 | $10.57 | $11.22 | $10.55 | $10.76 | 402 775 |
Aug 30, 2019 | $10.26 | $10.66 | $10.13 | $10.56 | 74 879 |
Aug 29, 2019 | $10.30 | $10.50 | $9.55 | $10.32 | 259 985 |
Aug 28, 2019 | $9.19 | $10.59 | $9.08 | $10.16 | 506 076 |
Aug 27, 2019 | $8.61 | $9.24 | $8.30 | $9.15 | 391 821 |
Aug 26, 2019 | $8.64 | $8.71 | $8.01 | $8.67 | 379 611 |
Aug 23, 2019 | $9.42 | $9.70 | $8.56 | $8.66 | 318 804 |
Aug 22, 2019 | $10.09 | $10.26 | $9.38 | $9.44 | 369 852 |
Aug 21, 2019 | $10.45 | $10.46 | $9.85 | $10.16 | 243 589 |
Aug 20, 2019 | $11.51 | $11.76 | $10.00 | $10.36 | 485 835 |
Aug 19, 2019 | $11.47 | $11.98 | $11.05 | $11.21 | 287 642 |
Aug 16, 2019 | $10.89 | $11.47 | $10.71 | $11.04 | 392 049 |
Aug 15, 2019 | $11.98 | $11.98 | $10.70 | $11.07 | 361 526 |
Aug 14, 2019 | $11.91 | $12.00 | $11.55 | $11.87 | 805 343 |
Aug 13, 2019 | $11.73 | $11.95 | $11.73 | $11.92 | 138 923 |
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 NOVA stock historical prices to predict future price movements?
Trend Analysis: Examine the NOVA 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 NOVA 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.