NASDAQ:LYLT
Delisted
Loyalty Ventures Inc. Stock Price (Quote)
$0.218
+0 (+0%)
At Close: Jun 16, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.218 | $0.218 | Friday, 16th Jun 2023 LYLT stock ended at $0.218. During the day the stock fluctuated 0% from a day low at $0.218 to a day high of $0.218. |
90 days | $0.116 | $0.293 | |
52 weeks | $0.0751 | $5.40 |
Date | Open | High | Low | Close | Volume |
Aug 30, 2022 | $2.24 | $2.24 | $2.10 | $2.11 | 714 277 |
Aug 29, 2022 | $2.11 | $2.27 | $2.07 | $2.24 | 974 044 |
Aug 26, 2022 | $2.25 | $2.30 | $2.07 | $2.13 | 892 072 |
Aug 25, 2022 | $2.26 | $2.53 | $2.20 | $2.27 | 1 704 037 |
Aug 24, 2022 | $2.34 | $2.37 | $2.18 | $2.20 | 1 107 950 |
Aug 23, 2022 | $2.25 | $2.37 | $2.23 | $2.34 | 628 274 |
Aug 22, 2022 | $2.47 | $2.49 | $2.23 | $2.27 | 1 174 836 |
Aug 19, 2022 | $2.39 | $2.50 | $2.32 | $2.46 | 479 516 |
Aug 18, 2022 | $2.52 | $2.55 | $2.24 | $2.43 | 657 310 |
Aug 17, 2022 | $2.60 | $2.92 | $2.46 | $2.50 | 2 514 087 |
Aug 16, 2022 | $2.57 | $2.77 | $2.39 | $2.54 | 1 420 578 |
Aug 15, 2022 | $2.74 | $2.79 | $2.51 | $2.54 | 924 400 |
Aug 12, 2022 | $2.97 | $3.01 | $2.66 | $2.77 | 972 787 |
Aug 11, 2022 | $3.31 | $3.40 | $2.95 | $2.97 | 974 638 |
Aug 10, 2022 | $3.06 | $3.26 | $2.92 | $2.95 | 629 147 |
Aug 09, 2022 | $3.27 | $3.28 | $2.95 | $3.00 | 350 302 |
Aug 08, 2022 | $2.94 | $3.26 | $2.94 | $3.26 | 465 623 |
Aug 05, 2022 | $2.85 | $2.96 | $2.77 | $2.95 | 398 153 |
Aug 04, 2022 | $2.97 | $3.03 | $2.86 | $2.94 | 486 922 |
Aug 03, 2022 | $3.05 | $3.06 | $2.89 | $2.97 | 377 924 |
Aug 02, 2022 | $3.09 | $3.13 | $2.85 | $2.89 | 498 415 |
Aug 01, 2022 | $2.86 | $3.19 | $2.83 | $3.11 | 407 180 |
Jul 29, 2022 | $2.88 | $2.96 | $2.77 | $2.95 | 527 702 |
Jul 28, 2022 | $3.06 | $3.06 | $2.83 | $2.89 | 271 613 |
Jul 27, 2022 | $2.84 | $3.06 | $2.77 | $3.03 | 390 216 |
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 LYLT stock historical prices to predict future price movements?
Trend Analysis: Examine the LYLT 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 LYLT 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.