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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

Historical THETA prices

Date Open High Low Close Volume
Jan 12, 2024 $1.14 $1.16 $1.02 $1.05 36 194 128
Jan 11, 2024 $1.02 $1.12 $0.99 $1.09 43 478 490
Jan 10, 2024 $1.02 $1.11 $1.00 $1.08 32 271 707
Jan 09, 2024 $1.04 $1.10 $0.98 $1.10 28 708 713
Jan 08, 2024 $1.04 $1.10 $0.99 $1.10 33 748 815
Jan 07, 2024 $1.15 $1.16 $1.06 $1.11 20 460 412
Jan 06, 2024 $1.15 $1.15 $1.07 $1.11 16 987 660
Jan 05, 2024 $1.18 $1.23 $1.15 $1.21 31 486 185
Jan 04, 2024 $1.18 $1.23 $1.16 $1.21 34 491 335
Jan 03, 2024 $1.34 $1.45 $1.33 $1.36 97 256 142
Jan 02, 2024 $1.34 $1.44 $1.33 $1.36 57 041 770
Jan 01, 2024 $1.25 $1.30 $1.22 $1.25 25 119 688
Dec 31, 2023 $1.25 $1.30 $1.24 $1.25 23 981 518
Dec 30, 2023 $1.33 $1.33 $1.25 $1.27 39 620 536
Dec 29, 2023 $1.34 $1.34 $1.25 $1.27 35 455 643
Dec 28, 2023 $1.41 $1.45 $1.29 $1.35 57 196 107
Dec 27, 2023 $1.41 $1.42 $1.30 $1.35 45 676 395
Dec 26, 2023 $1.27 $1.42 $1.23 $1.41 65 656 929
Dec 25, 2023 $1.26 $1.42 $1.24 $1.42 79 634 591
Dec 24, 2023 $1.16 $1.20 $1.11 $1.15 84 120 089
Dec 23, 2023 $1.16 $1.17 $1.11 $1.15 30 448 631
Dec 22, 2023 $1.08 $1.17 $1.07 $1.16 38 752 436
Dec 21, 2023 $1.08 $1.17 $1.07 $1.17 45 308 175
Dec 20, 2023 $1.02 $1.04 $1.00 $1.02 24 383 588
Dec 19, 2023 $1.02 $1.03 $1.00 $1.02 21 504 833

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 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.

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 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.
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