NYSE:NE
Delisted
Noble Corporation Stock Price (Quote)
$0.0357
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0302 | $0.205 | Friday, 4th Sep 2020 NE stock ended at $0.0357. During the day the stock fluctuated 0% from a day low at $0.0357 to a day high of $0.0357. |
90 days | $0.0302 | $0.740 | |
52 weeks | $0.0302 | $2.15 |
Date | Open | High | Low | Close | Volume |
Oct 15, 2019 | $1.34 | $1.43 | $1.32 | $1.34 | 3 380 703 |
Oct 14, 2019 | $1.31 | $1.37 | $1.23 | $1.35 | 2 414 856 |
Oct 11, 2019 | $1.23 | $1.35 | $1.22 | $1.33 | 6 138 606 |
Oct 10, 2019 | $1.20 | $1.22 | $1.15 | $1.19 | 3 018 037 |
Oct 09, 2019 | $1.19 | $1.21 | $1.14 | $1.17 | 2 826 966 |
Oct 08, 2019 | $1.13 | $1.21 | $1.10 | $1.15 | 3 427 013 |
Oct 07, 2019 | $1.19 | $1.27 | $1.15 | $1.16 | 4 072 546 |
Oct 04, 2019 | $1.19 | $1.23 | $1.15 | $1.18 | 2 399 826 |
Oct 03, 2019 | $1.15 | $1.22 | $1.12 | $1.18 | 4 717 014 |
Oct 02, 2019 | $1.19 | $1.22 | $1.13 | $1.16 | 3 788 861 |
Oct 01, 2019 | $1.28 | $1.35 | $1.18 | $1.19 | 2 876 799 |
Sep 30, 2019 | $1.30 | $1.33 | $1.18 | $1.27 | 5 634 136 |
Sep 27, 2019 | $1.34 | $1.39 | $1.31 | $1.32 | 3 734 082 |
Sep 26, 2019 | $1.50 | $1.50 | $1.35 | $1.37 | 5 218 589 |
Sep 25, 2019 | $1.57 | $1.65 | $1.50 | $1.51 | 3 755 365 |
Sep 24, 2019 | $1.86 | $1.86 | $1.63 | $1.63 | 4 904 161 |
Sep 23, 2019 | $1.80 | $1.93 | $1.77 | $1.89 | 4 973 227 |
Sep 20, 2019 | $1.89 | $1.92 | $1.83 | $1.87 | 8 611 334 |
Sep 19, 2019 | $1.84 | $1.91 | $1.75 | $1.86 | 5 524 204 |
Sep 18, 2019 | $1.78 | $1.86 | $1.73 | $1.80 | 4 653 795 |
Sep 17, 2019 | $1.86 | $1.92 | $1.71 | $1.82 | 7 478 170 |
Sep 16, 2019 | $2.08 | $2.15 | $1.84 | $1.87 | 13 971 344 |
Sep 13, 2019 | $1.95 | $2.04 | $1.86 | $1.89 | 3 699 078 |
Sep 12, 2019 | $1.95 | $1.97 | $1.77 | $1.96 | 5 867 661 |
Sep 11, 2019 | $1.99 | $2.13 | $1.89 | $2.03 | 7 864 142 |
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 NE stock historical prices to predict future price movements?
Trend Analysis: Examine the NE 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 NE 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.