CRYPTO:LONUSD
Tokenlon Network Token USD Stock Price (Quote)
$0.98
+0.0455 (+4.87%)
At Close: Jun 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.88 | $1.04 | Saturday, 29th Jun 2024 LONUSD stock ended at $0.98. This is 4.87% more than the trading day before Friday, 28th Jun 2024. During the day the stock fluctuated 7.52% from a day low at $0.93 to a day high of $1.00. |
90 days | $0.82 | $1.04 | |
52 weeks | $0.393 | $1.04 |
Historical Tokenlon Network Token USD prices
Date | Open | High | Low | Close | Volume |
Jun 29, 2024 | $0.95 | $1.00 | $0.93 | $0.98 | 547 344 |
Jun 28, 2024 | $0.95 | $1.00 | $0.93 | $0.93 | 614 161 |
Jun 27, 2024 | $0.95 | $1.00 | $0.94 | $0.95 | 607 276 |
Jun 26, 2024 | $0.94 | $0.98 | $0.89 | $0.91 | 598 952 |
Jun 25, 2024 | $0.94 | $0.96 | $0.91 | $0.96 | 633 299 |
Jun 24, 2024 | $0.94 | $0.95 | $0.92 | $0.94 | 917 709 |
Jun 23, 2024 | $0.93 | $0.97 | $0.90 | $0.94 | 741 484 |
Jun 22, 2024 | $0.93 | $0.97 | $0.91 | $0.94 | 517 686 |
Jun 21, 2024 | $0.93 | $0.98 | $0.91 | $0.93 | 646 981 |
Jun 20, 2024 | $0.94 | $0.97 | $0.93 | $0.93 | 569 449 |
Jun 19, 2024 | $0.93 | $0.95 | $0.88 | $0.94 | 620 994 |
Jun 18, 2024 | $0.94 | $0.96 | $0.91 | $0.92 | 729 800 |
Jun 17, 2024 | $0.94 | $0.97 | $0.93 | $0.96 | 605 930 |
Jun 16, 2024 | $0.95 | $0.98 | $0.94 | $0.94 | 558 025 |
Jun 15, 2024 | $0.93 | $0.95 | $0.93 | $0.95 | 1 343 010 |
Jun 14, 2024 | $0.93 | $0.94 | $0.92 | $0.92 | 1 173 400 |
Jun 13, 2024 | $0.95 | $1.00 | $0.93 | $0.93 | 1 468 527 |
Jun 12, 2024 | $0.94 | $0.98 | $0.94 | $0.95 | 762 837 |
Jun 11, 2024 | $0.96 | $1.00 | $0.93 | $0.94 | 747 280 |
Jun 10, 2024 | $0.96 | $1.03 | $0.96 | $0.96 | 568 270 |
Jun 09, 2024 | $0.97 | $1.02 | $0.95 | $0.96 | 535 425 |
Jun 08, 2024 | $0.96 | $0.98 | $0.94 | $0.97 | 529 465 |
Jun 07, 2024 | $0.97 | $1.02 | $0.94 | $0.96 | 692 620 |
Jun 06, 2024 | $0.98 | $1.02 | $0.93 | $0.97 | 599 087 |
Jun 05, 2024 | $0.97 | $1.04 | $0.96 | $0.98 | 636 408 |
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 LONUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the LONUSD 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 LONUSD 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.