NYSE:DNOW
NOW Inc Stock Price (Quote)
$14.18
+0.0900 (+0.639%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $12.41 | $15.10 | Friday, 24th May 2024 DNOW stock ended at $14.18. This is 0.639% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.35% from a day low at $14.08 to a day high of $14.27. |
90 days | $12.41 | $15.58 | |
52 weeks | $8.83 | $15.58 |
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | $9.87 | $9.93 | $9.60 | $9.62 | 704 779 |
Feb 06, 2024 | $9.71 | $9.95 | $9.69 | $9.86 | 543 579 |
Feb 05, 2024 | $9.83 | $9.83 | $9.62 | $9.66 | 513 562 |
Feb 02, 2024 | $10.11 | $10.26 | $9.96 | $9.99 | 883 730 |
Feb 01, 2024 | $10.13 | $10.24 | $9.99 | $10.22 | 1 185 090 |
Jan 31, 2024 | $10.37 | $10.46 | $10.08 | $10.09 | 1 728 431 |
Jan 30, 2024 | $10.05 | $10.33 | $10.04 | $10.33 | 908 030 |
Jan 29, 2024 | $10.08 | $10.20 | $9.96 | $10.20 | 457 031 |
Jan 26, 2024 | $10.24 | $10.28 | $10.04 | $10.11 | 496 593 |
Jan 25, 2024 | $10.21 | $10.27 | $9.93 | $10.19 | 781 187 |
Jan 24, 2024 | $10.01 | $10.04 | $9.75 | $10.04 | 1 181 140 |
Jan 23, 2024 | $9.97 | $10.16 | $9.83 | $9.86 | 774 718 |
Jan 22, 2024 | $9.70 | $9.98 | $9.62 | $9.85 | 673 089 |
Jan 19, 2024 | $9.75 | $9.75 | $9.54 | $9.63 | 688 226 |
Jan 18, 2024 | $9.65 | $9.77 | $9.56 | $9.76 | 447 124 |
Jan 17, 2024 | $9.51 | $9.72 | $9.47 | $9.56 | 710 979 |
Jan 16, 2024 | $9.92 | $9.94 | $9.67 | $9.69 | 422 690 |
Jan 12, 2024 | $10.29 | $10.29 | $9.92 | $9.97 | 556 320 |
Jan 11, 2024 | $10.15 | $10.15 | $9.97 | $10.10 | 595 754 |
Jan 10, 2024 | $9.99 | $10.21 | $9.99 | $10.15 | 597 650 |
Jan 09, 2024 | $10.27 | $10.27 | $10.03 | $10.05 | 610 511 |
Jan 08, 2024 | $10.63 | $10.63 | $10.35 | $10.43 | 552 428 |
Jan 05, 2024 | $10.71 | $10.84 | $10.64 | $10.70 | 492 309 |
Jan 04, 2024 | $11.00 | $11.06 | $10.67 | $10.73 | 727 362 |
Jan 03, 2024 | $11.07 | $11.14 | $10.94 | $10.94 | 617 462 |
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 DNOW stock historical prices to predict future price movements?
Trend Analysis: Examine the DNOW 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 DNOW 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.