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 |
Oct 23, 2018 | $4.86 | $4.90 | $4.52 | $4.67 | 674 674 |
Oct 22, 2018 | $5.03 | $5.05 | $4.93 | $4.96 | 285 193 |
Oct 19, 2018 | $4.97 | $5.10 | $4.96 | $5.00 | 354 226 |
Oct 18, 2018 | $4.95 | $5.02 | $4.88 | $5.01 | 295 912 |
Oct 17, 2018 | $5.00 | $5.04 | $4.88 | $4.94 | 277 889 |
Oct 16, 2018 | $5.08 | $5.09 | $4.96 | $5.01 | 219 507 |
Oct 15, 2018 | $5.08 | $5.11 | $4.94 | $5.02 | 206 069 |
Oct 12, 2018 | $5.03 | $5.12 | $4.90 | $5.01 | 287 860 |
Oct 11, 2018 | $4.94 | $5.13 | $4.90 | $4.96 | 240 543 |
Oct 10, 2018 | $5.28 | $5.37 | $4.95 | $5.04 | 567 130 |
Oct 09, 2018 | $5.15 | $5.35 | $5.15 | $5.28 | 661 410 |
Oct 08, 2018 | $5.13 | $5.45 | $4.91 | $5.16 | 784 482 |
Oct 05, 2018 | $5.16 | $5.25 | $4.77 | $5.11 | 786 839 |
Oct 04, 2018 | $5.26 | $5.29 | $5.11 | $5.20 | 208 564 |
Oct 03, 2018 | $5.26 | $5.33 | $5.17 | $5.28 | 380 545 |
Oct 02, 2018 | $5.33 | $5.38 | $5.17 | $5.26 | 306 357 |
Oct 01, 2018 | $4.86 | $5.43 | $4.86 | $5.33 | 1 086 280 |
Sep 28, 2018 | $4.90 | $4.99 | $4.75 | $4.85 | 598 938 |
Sep 27, 2018 | $5.00 | $5.09 | $4.80 | $4.90 | 444 721 |
Sep 26, 2018 | $4.93 | $5.12 | $4.85 | $4.89 | 535 088 |
Sep 25, 2018 | $4.78 | $5.19 | $4.68 | $4.97 | 1 631 859 |
Sep 24, 2018 | $5.36 | $5.40 | $5.12 | $5.20 | 772 872 |
Sep 21, 2018 | $5.11 | $5.85 | $4.89 | $5.30 | 2 439 800 |
Sep 20, 2018 | $4.77 | $4.91 | $4.52 | $4.69 | 379 767 |
Sep 19, 2018 | $4.99 | $5.00 | $4.77 | $4.84 | 256 362 |
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.