NYSE:NOVA
Sunnova Energy International Inc Stock Price (Quote)
$4.31
+0.240 (+5.90%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.37 | $5.61 | Friday, 24th May 2024 NOVA stock ended at $4.31. This is 5.90% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 8.25% from a day low at $4.12 to a day high of $4.46. |
90 days | $3.37 | $8.08 | |
52 weeks | $3.37 | $24.56 |
Historical Sunnova Energy International Inc prices
Date | Open | High | Low | Close | Volume |
Jul 05, 2023 | $18.13 | $18.78 | $17.91 | $18.46 | 2 957 139 |
Jul 03, 2023 | $18.45 | $18.94 | $18.00 | $18.30 | 1 538 399 |
Jun 30, 2023 | $18.07 | $18.62 | $17.56 | $18.31 | 3 887 098 |
Jun 29, 2023 | $19.01 | $19.33 | $17.66 | $17.74 | 3 432 743 |
Jun 28, 2023 | $18.99 | $19.47 | $18.72 | $18.86 | 1 943 480 |
Jun 27, 2023 | $18.92 | $19.22 | $18.57 | $19.04 | 2 035 926 |
Jun 26, 2023 | $18.30 | $19.54 | $18.25 | $18.75 | 2 833 272 |
Jun 23, 2023 | $18.08 | $18.54 | $17.99 | $18.20 | 2 948 264 |
Jun 22, 2023 | $18.40 | $18.76 | $17.75 | $18.39 | 2 353 153 |
Jun 21, 2023 | $18.15 | $18.76 | $17.96 | $18.62 | 2 009 801 |
Jun 20, 2023 | $18.75 | $19.02 | $18.08 | $18.23 | 2 039 580 |
Jun 16, 2023 | $19.68 | $19.78 | $18.71 | $18.76 | 2 491 732 |
Jun 15, 2023 | $18.25 | $19.53 | $18.23 | $19.52 | 3 282 760 |
Jun 14, 2023 | $19.12 | $19.24 | $18.29 | $18.48 | 3 022 042 |
Jun 13, 2023 | $18.45 | $19.15 | $18.34 | $18.90 | 2 993 577 |
Jun 12, 2023 | $17.40 | $18.25 | $17.07 | $18.24 | 1 971 288 |
Jun 09, 2023 | $18.21 | $18.33 | $17.48 | $17.49 | 1 504 214 |
Jun 08, 2023 | $17.78 | $18.06 | $17.42 | $17.88 | 1 832 096 |
Jun 07, 2023 | $18.17 | $18.44 | $17.65 | $17.90 | 2 576 152 |
Jun 06, 2023 | $17.82 | $18.32 | $17.52 | $17.71 | 1 824 357 |
Jun 05, 2023 | $17.71 | $18.30 | $17.53 | $17.94 | 1 704 591 |
Jun 02, 2023 | $18.54 | $18.58 | $17.73 | $17.91 | 2 776 122 |
Jun 01, 2023 | $17.75 | $18.35 | $17.51 | $18.16 | 4 181 272 |
May 31, 2023 | $17.60 | $17.77 | $16.72 | $17.66 | 2 622 708 |
May 30, 2023 | $16.75 | $17.79 | $16.75 | $17.68 | 2 982 303 |
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.