CRYPTO:THETAUSD
THETA Cryptocurrency Price (Quote)
$1.52
+0 (+0%)
At Close: Jun 25, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.34 | $2.40 | Tuesday, 25th Jun 2024 THETAUSD stock ended at $1.52. During the day the stock fluctuated 0% from a day low at $1.52 to a day high of $1.52. |
90 days | $1.34 | $3.24 | |
52 weeks | $0.562 | $3.82 |
Historical THETA prices
Date | Open | High | Low | Close | Volume |
Sep 04, 2021 | $7.25 | $7.71 | $7.21 | $7.52 | 360 725 102 |
Sep 03, 2021 | $7.03 | $7.35 | $6.90 | $7.24 | 303 546 221 |
Sep 02, 2021 | $7.11 | $7.24 | $6.91 | $7.03 | 265 301 640 |
Sep 01, 2021 | $6.66 | $7.18 | $6.51 | $7.11 | 307 285 134 |
Aug 31, 2021 | $6.59 | $6.77 | $6.42 | $6.67 | 254 106 319 |
Aug 30, 2021 | $6.92 | $6.94 | $6.52 | $6.57 | 223 763 047 |
Aug 29, 2021 | $6.92 | $7.08 | $6.74 | $6.93 | 268 312 647 |
Aug 28, 2021 | $6.95 | $6.97 | $6.72 | $6.91 | 161 717 632 |
Aug 27, 2021 | $6.53 | $6.98 | $6.32 | $6.95 | 293 808 294 |
Aug 26, 2021 | $7.21 | $7.28 | $6.43 | $6.54 | 320 129 407 |
Aug 25, 2021 | $7.07 | $7.32 | $6.75 | $7.20 | 379 953 953 |
Aug 24, 2021 | $7.84 | $8.14 | $6.92 | $7.06 | 532 663 843 |
Aug 23, 2021 | $7.35 | $7.93 | $7.33 | $7.84 | 419 493 072 |
Aug 22, 2021 | $7.27 | $7.54 | $7.09 | $7.35 | 278 216 572 |
Aug 21, 2021 | $7.28 | $7.68 | $7.13 | $7.26 | 377 147 245 |
Aug 20, 2021 | $7.15 | $7.40 | $7.03 | $7.28 | 276 985 982 |
Aug 19, 2021 | $6.85 | $7.20 | $6.63 | $7.15 | 312 543 984 |
Aug 18, 2021 | $6.97 | $7.17 | $6.62 | $6.86 | 426 670 389 |
Aug 17, 2021 | $7.61 | $8.07 | $6.84 | $6.97 | 509 109 907 |
Aug 16, 2021 | $7.47 | $8.32 | $7.32 | $7.64 | 652 124 439 |
Aug 15, 2021 | $7.22 | $7.56 | $6.97 | $7.47 | 381 668 835 |
Aug 14, 2021 | $7.16 | $7.59 | $7.03 | $7.22 | 391 030 039 |
Aug 13, 2021 | $6.78 | $7.27 | $6.67 | $7.16 | 344 099 960 |
Aug 12, 2021 | $7.16 | $7.45 | $6.55 | $6.76 | 413 203 591 |
Aug 11, 2021 | $6.94 | $7.58 | $6.92 | $7.17 | 441 220 366 |
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.