$33.31
-1.87 (-5.32%)
At Close: Nov 17, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $32.83 | $55.32 | Monday, 17th Nov 2025 BITX stock ended at $33.31. This is 5.32% less than the trading day before Friday, 14th Nov 2025. During the day the stock fluctuated 10.87% from a day low at $32.83 to a day high of $36.40. |
| 90 days | $32.83 | $67.02 | |
| 52 weeks | $29.34 | $72.80 |
Historical Volatility Shares Trust - 2x Bitcoin Strategy Etf prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 17, 2025 | $34.98 | $36.40 | $32.83 | $33.31 | 16 920 289 |
| Nov 14, 2025 | $35.95 | $37.59 | $35.02 | $35.18 | 12 041 367 |
| Nov 13, 2025 | $41.65 | $42.51 | $37.95 | $38.11 | 14 100 705 |
| Nov 12, 2025 | $43.65 | $43.75 | $40.35 | $40.94 | 8 461 006 |
| Nov 11, 2025 | $43.46 | $43.62 | $41.86 | $42.00 | 6 525 379 |
| Nov 10, 2025 | $45.00 | $45.02 | $43.60 | $44.78 | 7 742 035 |
| Nov 07, 2025 | $40.06 | $43.04 | $39.40 | $42.91 | 10 778 773 |
| Nov 06, 2025 | $42.57 | $42.57 | $40.12 | $40.66 | 10 189 009 |
| Nov 05, 2025 | $42.15 | $43.68 | $41.72 | $43.07 | 8 547 056 |
| Nov 04, 2025 | $43.16 | $44.18 | $39.61 | $40.61 | 16 134 076 |
| Nov 03, 2025 | $46.58 | $47.17 | $44.57 | $45.72 | 8 519 792 |
| Oct 31, 2025 | $48.67 | $49.70 | $47.57 | $48.58 | 8 886 751 |
| Oct 30, 2025 | $47.41 | $47.53 | $45.55 | $45.72 | 10 700 002 |
| Oct 29, 2025 | $51.92 | $52.34 | $48.21 | $49.43 | 11 116 918 |
| Oct 28, 2025 | $54.17 | $55.32 | $52.81 | $52.96 | 6 431 345 |
| Oct 27, 2025 | $54.32 | $54.96 | $53.73 | $54.18 | 6 514 489 |
| Oct 24, 2025 | $50.94 | $51.14 | $49.47 | $50.28 | 6 753 209 |
| Oct 23, 2025 | $48.99 | $50.99 | $48.59 | $49.99 | 7 545 961 |
| Oct 22, 2025 | $48.25 | $49.11 | $47.47 | $47.86 | 13 840 511 |
| Oct 21, 2025 | $48.75 | $53.70 | $48.28 | $51.66 | 13 422 242 |
| Oct 20, 2025 | $50.56 | $51.50 | $49.86 | $50.74 | 8 885 140 |
| Oct 17, 2025 | $46.00 | $47.75 | $45.09 | $46.87 | 12 268 407 |
| Oct 16, 2025 | $51.87 | $51.87 | $47.86 | $48.47 | 13 879 832 |
| Oct 15, 2025 | $51.62 | $52.34 | $50.27 | $51.39 | 6 784 689 |
| Oct 14, 2025 | $50.91 | $53.70 | $50.06 | $52.75 | 10 977 453 |
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 BITX stock historical prices to predict future price movements?
Trend Analysis: Examine the BITX 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 BITX 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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