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 |
Dec 18, 2023 | $1.09 | $1.11 | $1.04 | $1.05 | 31 743 650 |
Dec 17, 2023 | $1.09 | $1.11 | $1.05 | $1.05 | 14 775 178 |
Dec 16, 2023 | $1.12 | $1.12 | $1.04 | $1.04 | 18 210 758 |
Dec 15, 2023 | $1.12 | $1.12 | $1.04 | $1.04 | 16 415 384 |
Dec 14, 2023 | $1.06 | $1.12 | $1.00 | $1.11 | 30 811 538 |
Dec 13, 2023 | $1.06 | $1.11 | $1.01 | $1.11 | 23 506 706 |
Dec 12, 2023 | $1.14 | $1.14 | $0.98 | $1.04 | 22 846 159 |
Dec 11, 2023 | $1.14 | $1.14 | $1.02 | $1.04 | 37 440 713 |
Dec 10, 2023 | $1.16 | $1.21 | $1.14 | $1.16 | 25 433 910 |
Dec 09, 2023 | $1.16 | $1.19 | $1.15 | $1.16 | 45 285 998 |
Dec 08, 2023 | $1.05 | $1.07 | $1.01 | $1.06 | 28 423 419 |
Dec 07, 2023 | $1.05 | $1.07 | $1.02 | $1.07 | 23 242 059 |
Dec 06, 2023 | $1.12 | $1.17 | $1.09 | $1.11 | 57 586 048 |
Dec 05, 2023 | $1.11 | $1.16 | $1.09 | $1.11 | 35 430 864 |
Dec 04, 2023 | $1.09 | $1.09 | $1.05 | $1.09 | 35 196 495 |
Dec 03, 2023 | $1.09 | $1.09 | $1.05 | $1.08 | 20 309 895 |
Dec 02, 2023 | $1.01 | $1.03 | $0.98 | $1.00 | 43 271 869 |
Dec 01, 2023 | $1.01 | $1.02 | $0.98 | $1.00 | 25 782 232 |
Nov 30, 2023 | $0.96 | $0.98 | $0.95 | $0.96 | 84 738 905 |
Nov 29, 2023 | $0.96 | $0.98 | $0.95 | $0.96 | 18 196 261 |
Nov 28, 2023 | $0.98 | $1.00 | $0.93 | $0.96 | 20 209 966 |
Nov 27, 2023 | $1.02 | $1.02 | $0.96 | $0.98 | 3 602 395 |
Nov 26, 2023 | $0.99 | $1.05 | $0.97 | $1.02 | 5 400 361 |
Nov 25, 2023 | $0.94 | $1.02 | $0.94 | $0.99 | 25 116 924 |
Nov 24, 2023 | $0.95 | $0.96 | $0.92 | $0.94 | 2 295 323 |
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.