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Range Low Price High Price Comment
30 days $0.0477 $0.0900 Friday, 31st May 2024 LIXTW stock ended at $0.0840. During the day the stock fluctuated 0% from a day low at $0.0840 to a day high of $0.0840.
90 days $0.0402 $0.105
52 weeks $0.0302 $0.139

Historical Lixte Biotechnology Holdings, Inc. prices

Date Open High Low Close Volume
May 03, 2021 $0.80 $0.80 $0.460 $0.460 1 245
Apr 30, 2021 $0.80 $0.80 $0.80 $0.80 2
Apr 29, 2021 $0.84 $0.84 $0.80 $0.80 1 779
Apr 28, 2021 $0.800 $0.89 $0.800 $0.89 6 259
Apr 27, 2021 $0.790 $0.790 $0.752 $0.752 949
Apr 26, 2021 $0.790 $0.799 $0.790 $0.799 422
Apr 23, 2021 $0.260 $0.798 $0.260 $0.798 544
Apr 22, 2021 $0.746 $0.746 $0.746 $0.746 29
Apr 21, 2021 $0.746 $0.746 $0.746 $0.746 54
Apr 20, 2021 $0.750 $0.750 $0.746 $0.746 1 318
Apr 19, 2021 $0.90 $0.90 $0.747 $0.759 1 324
Apr 16, 2021 $0.750 $0.750 $0.746 $0.750 974
Apr 15, 2021 $0.750 $0.751 $0.746 $0.751 3 838
Apr 14, 2021 $0.751 $0.751 $0.751 $0.751 152
Apr 13, 2021 $0.84 $0.90 $0.760 $0.770 3 644
Apr 12, 2021 $0.755 $0.755 $0.750 $0.750 926
Apr 09, 2021 $0.83 $0.83 $0.80 $0.80 2 136
Apr 08, 2021 $0.80 $0.80 $0.80 $0.80 236
Apr 07, 2021 $0.82 $0.82 $0.82 $0.82 1 402
Apr 06, 2021 $0.80 $0.80 $0.80 $0.80 1 513
Apr 05, 2021 $0.80 $0.86 $0.80 $0.80 3 763
Apr 01, 2021 $0.81 $0.81 $0.80 $0.80 685
Mar 31, 2021 $0.81 $0.81 $0.81 $0.81 290
Mar 30, 2021 $0.81 $0.81 $0.81 $0.81 2 844
Mar 29, 2021 $0.90 $0.90 $0.85 $0.85 3 238

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.

How can I use LIXTW stock historical prices to predict future price movements?
Trend Analysis: Examine the LIXTW 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.

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.

Why do the LIXTW 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.
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