NYSE:LL
Lumber Liquidators Holdings Inc Stock Price (Quote)
$1.67
+0.120 (+7.74%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.46 | $1.79 | Tuesday, 14th May 2024 LL stock ended at $1.67. This is 7.74% more than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 9.48% from a day low at $1.54 to a day high of $1.69. |
90 days | $1.46 | $2.27 | |
52 weeks | $1.46 | $5.52 |
Date | Open | High | Low | Close | Volume |
Jan 26, 2024 | $2.92 | $2.93 | $2.85 | $2.88 | 82 952 |
Jan 25, 2024 | $3.07 | $3.07 | $2.86 | $2.91 | 215 370 |
Jan 24, 2024 | $2.93 | $3.04 | $2.93 | $2.99 | 229 032 |
Jan 23, 2024 | $2.92 | $2.94 | $2.86 | $2.93 | 107 681 |
Jan 22, 2024 | $2.96 | $3.05 | $2.76 | $2.86 | 192 726 |
Jan 19, 2024 | $2.99 | $3.07 | $2.94 | $2.95 | 149 270 |
Jan 18, 2024 | $3.01 | $3.15 | $2.94 | $3.03 | 188 138 |
Jan 17, 2024 | $3.00 | $3.07 | $3.00 | $3.07 | 107 615 |
Jan 16, 2024 | $3.17 | $3.17 | $3.04 | $3.07 | 214 337 |
Jan 12, 2024 | $3.36 | $3.41 | $3.17 | $3.17 | 162 024 |
Jan 11, 2024 | $3.46 | $3.46 | $3.31 | $3.35 | 165 944 |
Jan 10, 2024 | $3.40 | $3.47 | $3.37 | $3.44 | 155 401 |
Jan 09, 2024 | $3.47 | $3.51 | $3.37 | $3.40 | 371 505 |
Jan 08, 2024 | $3.31 | $3.78 | $3.24 | $3.55 | 404 253 |
Jan 05, 2024 | $3.44 | $3.47 | $3.28 | $3.28 | 215 648 |
Jan 04, 2024 | $3.46 | $3.50 | $3.40 | $3.45 | 88 040 |
Jan 03, 2024 | $3.79 | $3.79 | $3.41 | $3.46 | 292 555 |
Jan 02, 2024 | $3.88 | $3.99 | $3.81 | $3.83 | 240 367 |
Dec 29, 2023 | $3.97 | $4.06 | $3.89 | $3.90 | 172 262 |
Dec 28, 2023 | $4.00 | $4.12 | $3.97 | $4.03 | 329 354 |
Dec 27, 2023 | $3.79 | $4.00 | $3.71 | $3.99 | 281 382 |
Dec 26, 2023 | $3.92 | $3.93 | $3.84 | $3.88 | 112 561 |
Dec 22, 2023 | $3.90 | $3.99 | $3.82 | $3.85 | 194 167 |
Dec 21, 2023 | $3.68 | $3.93 | $3.62 | $3.92 | 280 683 |
Dec 20, 2023 | $3.80 | $3.84 | $3.68 | $3.71 | 179 456 |
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 LL stock historical prices to predict future price movements?
Trend Analysis: Examine the LL 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 LL 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.