NASDAQ:NOVN
Delisted
Novan, Inc. Stock Price (Quote)
$0.0941
+0 (+0%)
At Close: Nov 20, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0941 | $0.0941 | Monday, 20th Nov 2023 NOVN stock ended at $0.0941. During the day the stock fluctuated 0% from a day low at $0.0941 to a day high of $0.0941. |
90 days | $0.0941 | $0.0941 | |
52 weeks | $0.0386 | $2.14 |
Historical Novan, Inc. prices
Date | Open | High | Low | Close | Volume |
Feb 17, 2017 | $5.88 | $5.99 | $5.45 | $5.64 | 332 551 |
Feb 16, 2017 | $6.53 | $7.22 | $5.76 | $5.91 | 1 160 534 |
Feb 15, 2017 | $4.87 | $7.98 | $4.79 | $6.44 | 5 435 625 |
Feb 14, 2017 | $4.27 | $4.82 | $4.20 | $4.79 | 433 825 |
Feb 13, 2017 | $4.21 | $4.28 | $4.20 | $4.26 | 93 502 |
Feb 10, 2017 | $4.18 | $4.31 | $4.12 | $4.17 | 94 269 |
Feb 09, 2017 | $4.20 | $4.31 | $4.13 | $4.13 | 125 036 |
Feb 08, 2017 | $4.06 | $4.32 | $4.06 | $4.12 | 168 603 |
Feb 07, 2017 | $4.48 | $4.48 | $4.07 | $4.07 | 183 664 |
Feb 06, 2017 | $4.48 | $4.53 | $4.20 | $4.26 | 229 671 |
Feb 03, 2017 | $4.72 | $4.72 | $4.37 | $4.46 | 233 176 |
Feb 02, 2017 | $4.21 | $4.73 | $4.10 | $4.44 | 517 311 |
Feb 01, 2017 | $4.18 | $4.29 | $4.00 | $4.20 | 330 554 |
Jan 31, 2017 | $4.35 | $4.40 | $3.80 | $4.06 | 645 596 |
Jan 30, 2017 | $5.09 | $5.09 | $4.36 | $4.40 | 1 224 696 |
Jan 27, 2017 | $4.50 | $5.38 | $3.52 | $4.86 | 8 010 615 |
Jan 26, 2017 | $17.64 | $19.06 | $17.09 | $18.70 | 121 031 |
Jan 25, 2017 | $18.15 | $18.29 | $17.00 | $17.73 | 191 272 |
Jan 24, 2017 | $19.44 | $19.44 | $17.57 | $17.95 | 179 831 |
Jan 23, 2017 | $22.18 | $22.18 | $18.58 | $19.21 | 249 962 |
Jan 20, 2017 | $22.30 | $22.30 | $21.16 | $21.84 | 95 184 |
Jan 19, 2017 | $23.54 | $23.54 | $21.18 | $22.45 | 140 214 |
Jan 18, 2017 | $23.13 | $23.64 | $22.84 | $23.26 | 78 960 |
Jan 17, 2017 | $23.50 | $23.76 | $22.41 | $22.95 | 77 487 |
Jan 13, 2017 | $24.21 | $24.37 | $22.38 | $22.69 | 93 252 |
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 NOVN stock historical prices to predict future price movements?
Trend Analysis: Examine the NOVN 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 NOVN 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.