CRYPTO:THETAUSD
THETA Cryptocurrency Price (Quote)
$1.92
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.87 | $2.57 | Thursday, 16th May 2024 THETAUSD stock ended at $1.92. During the day the stock fluctuated 0% from a day low at $1.92 to a day high of $1.92. |
90 days | $1.08 | $3.82 | |
52 weeks | $0.562 | $3.82 |
Date | Open | High | Low | Close | Volume |
Nov 23, 2023 | $0.86 | $0.95 | $0.86 | $0.95 | 14 715 602 |
Nov 22, 2023 | $0.96 | $0.98 | $0.88 | $0.91 | 3 925 260 |
Nov 21, 2023 | $0.97 | $0.98 | $0.93 | $0.96 | 21 627 470 |
Nov 20, 2023 | $0.93 | $0.98 | $0.91 | $0.97 | 15 760 807 |
Nov 19, 2023 | $0.93 | $0.93 | $0.86 | $0.93 | 19 864 545 |
Nov 18, 2023 | $0.94 | $1.01 | $0.90 | $0.93 | 15 134 896 |
Nov 17, 2023 | $0.96 | $0.97 | $0.91 | $0.94 | 30 980 959 |
Nov 16, 2023 | $0.92 | $0.98 | $0.91 | $0.96 | 23 467 469 |
Nov 15, 2023 | $0.92 | $0.94 | $0.87 | $0.92 | 21 046 596 |
Nov 14, 2023 | $0.92 | $0.94 | $0.89 | $0.92 | 23 680 076 |
Nov 13, 2023 | $1.03 | $1.04 | $0.98 | $0.99 | 28 232 818 |
Nov 12, 2023 | $1.03 | $1.03 | $0.98 | $0.99 | 27 384 618 |
Nov 11, 2023 | $0.93 | $1.04 | $0.92 | $1.03 | 76 490 399 |
Nov 10, 2023 | $0.93 | $1.04 | $0.92 | $1.04 | 48 334 899 |
Nov 09, 2023 | $0.83 | $0.90 | $0.81 | $0.88 | 50 788 552 |
Nov 08, 2023 | $0.83 | $0.90 | $0.82 | $0.88 | 22 557 879 |
Nov 07, 2023 | $0.793 | $0.83 | $0.781 | $0.82 | 19 285 745 |
Nov 06, 2023 | $0.793 | $0.83 | $0.784 | $0.82 | 14 198 828 |
Nov 05, 2023 | $0.752 | $0.776 | $0.744 | $0.775 | 16 693 791 |
Nov 04, 2023 | $0.755 | $0.775 | $0.747 | $0.774 | 13 361 638 |
Nov 03, 2023 | $0.763 | $0.778 | $0.730 | $0.769 | 17 778 825 |
Nov 02, 2023 | $0.763 | $0.776 | $0.740 | $0.767 | 28 426 638 |
Nov 01, 2023 | $0.693 | $0.738 | $0.662 | $0.722 | 106 899 552 |
Oct 31, 2023 | $0.693 | $0.732 | $0.670 | $0.722 | 29 424 830 |
Oct 30, 2023 | $0.672 | $0.698 | $0.660 | $0.684 | 14 566 173 |
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 THETAUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the THETAUSD 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 THETAUSD 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.