NASDAQ:LGCY
Delisted
Legacy Reserves LP Stock Price (Quote)
$0.0395
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0395 | $0.0395 | Tuesday, 17th Sep 2019 LGCY stock ended at $0.0395. During the day the stock fluctuated 0% from a day low at $0.0395 to a day high of $0.0395. |
90 days | $0.0395 | $0.125 | |
52 weeks | $0.0395 | $5.85 |
Date | Open | High | Low | Close | Volume |
Nov 28, 2018 | $2.44 | $2.51 | $2.20 | $2.22 | 1 406 402 |
Nov 27, 2018 | $2.65 | $2.74 | $2.35 | $2.45 | 853 514 |
Nov 26, 2018 | $2.32 | $2.82 | $2.31 | $2.67 | 1 319 836 |
Nov 23, 2018 | $2.41 | $2.44 | $2.22 | $2.30 | 643 173 |
Nov 21, 2018 | $2.31 | $2.56 | $2.28 | $2.49 | 575 764 |
Nov 20, 2018 | $2.31 | $2.35 | $2.22 | $2.26 | 482 281 |
Nov 19, 2018 | $2.55 | $2.61 | $2.33 | $2.36 | 712 958 |
Nov 16, 2018 | $2.76 | $2.88 | $2.50 | $2.59 | 545 448 |
Nov 15, 2018 | $2.79 | $2.89 | $2.65 | $2.76 | 338 095 |
Nov 14, 2018 | $2.92 | $3.05 | $2.77 | $2.79 | 412 817 |
Nov 13, 2018 | $3.07 | $3.20 | $2.81 | $2.83 | 827 168 |
Nov 12, 2018 | $3.40 | $3.40 | $3.17 | $3.17 | 261 011 |
Nov 09, 2018 | $3.31 | $3.45 | $3.10 | $3.42 | 635 160 |
Nov 08, 2018 | $3.74 | $3.75 | $3.35 | $3.42 | 599 504 |
Nov 07, 2018 | $3.77 | $3.85 | $3.66 | $3.74 | 353 747 |
Nov 06, 2018 | $3.80 | $3.95 | $3.68 | $3.70 | 357 768 |
Nov 05, 2018 | $3.82 | $3.85 | $3.56 | $3.81 | 488 188 |
Nov 02, 2018 | $4.00 | $4.05 | $3.71 | $3.80 | 222 304 |
Nov 01, 2018 | $3.76 | $4.22 | $2.97 | $4.00 | 1 474 700 |
Oct 31, 2018 | $4.05 | $4.26 | $4.00 | $4.21 | 703 873 |
Oct 30, 2018 | $3.80 | $4.03 | $3.70 | $3.97 | 469 291 |
Oct 29, 2018 | $4.14 | $4.14 | $3.75 | $3.85 | 463 493 |
Oct 26, 2018 | $4.25 | $4.25 | $4.04 | $4.14 | 453 474 |
Oct 25, 2018 | $4.26 | $4.42 | $4.15 | $4.30 | 561 061 |
Oct 24, 2018 | $4.69 | $4.78 | $4.11 | $4.23 | 785 639 |
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 LGCY stock historical prices to predict future price movements?
Trend Analysis: Examine the LGCY 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 LGCY 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.