OTCBB:VNRSQ
Delisted
Vanguard Natural Resources LLC Fund Price (Quote)
$0.0344
+0 (+0%)
At Close: Aug 09, 2017
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0250 | $0.185 | Wednesday, 9th Aug 2017 VNRSQ stock ended at $0.0344. During the day the stock fluctuated 0% from a day low at $0.0340 to a day high of $0.0340. |
90 days | $0.0250 | $0.185 | |
52 weeks | $0.0250 | $1.66 |
Date | Open | High | Low | Close | Volume |
Sep 16, 2016 | $1.28 | $1.30 | $1.26 | $1.30 | 552 700 |
Sep 15, 2016 | $1.32 | $1.32 | $1.28 | $1.30 | 352 800 |
Sep 14, 2016 | $1.30 | $1.34 | $1.29 | $1.30 | 473 500 |
Sep 13, 2016 | $1.33 | $1.33 | $1.29 | $1.29 | 787 500 |
Sep 12, 2016 | $1.30 | $1.36 | $1.26 | $1.36 | 655 700 |
Sep 09, 2016 | $1.38 | $1.38 | $1.31 | $1.32 | 720 800 |
Sep 08, 2016 | $1.29 | $1.39 | $1.29 | $1.38 | 1 167 200 |
Sep 07, 2016 | $1.28 | $1.32 | $1.28 | $1.28 | 656 200 |
Sep 06, 2016 | $1.32 | $1.35 | $1.28 | $1.28 | 706 100 |
Sep 02, 2016 | $1.24 | $1.33 | $1.24 | $1.31 | 854 400 |
Sep 01, 2016 | $1.27 | $1.29 | $1.22 | $1.23 | 1 390 600 |
Aug 31, 2016 | $1.33 | $1.35 | $1.25 | $1.25 | 2 136 900 |
Aug 30, 2016 | $1.38 | $1.43 | $1.33 | $1.35 | 1 026 600 |
Aug 29, 2016 | $1.40 | $1.41 | $1.33 | $1.35 | 1 247 500 |
Aug 26, 2016 | $1.41 | $1.47 | $1.40 | $1.41 | 556 600 |
Aug 25, 2016 | $1.44 | $1.45 | $1.41 | $1.41 | 728 600 |
Aug 24, 2016 | $1.47 | $1.50 | $1.45 | $1.45 | 574 600 |
Aug 23, 2016 | $1.46 | $1.51 | $1.45 | $1.47 | 869 200 |
Aug 22, 2016 | $1.52 | $1.55 | $1.46 | $1.47 | 933 600 |
Aug 19, 2016 | $1.59 | $1.60 | $1.52 | $1.54 | 937 300 |
Aug 18, 2016 | $1.49 | $1.66 | $1.48 | $1.60 | 1 843 500 |
Aug 17, 2016 | $1.55 | $1.58 | $1.43 | $1.49 | 1 271 600 |
Aug 16, 2016 | $1.40 | $1.64 | $1.40 | $1.56 | 2 310 000 |
Aug 15, 2016 | $1.35 | $1.45 | $1.32 | $1.41 | 1 665 200 |
Aug 12, 2016 | $1.51 | $1.54 | $1.35 | $1.36 | 1 668 400 |
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 VNRSQ stock historical prices to predict future price movements?
Trend Analysis: Examine the VNRSQ 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 VNRSQ 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.