Profunds Short Bitcoin Fund Technical Analysis
| BITIX Fund | USD 27.65 1.47 5.61% |
As of the 29th of January, Profunds Short holds the Coefficient Of Variation of 675.18, risk adjusted performance of 0.115, and Semi Deviation of 2.54. Profunds Short Bitcoin technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the fund's future prices.
Profunds Short Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Profunds, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ProfundsProfunds |
Profunds Short 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Profunds Short's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Profunds Short.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Profunds Short on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Profunds Short Bitcoin or generate 0.0% return on investment in Profunds Short over 90 days. Profunds Short is related to or competes with Mfs Technology, Franklin Biotechnology, Specialized Technology, Global Technology, Red Oak, and Biotechnology Fund. The investment seeks daily investment results, before fees and expenses, that correspond to the inverse of the return of... More
Profunds Short Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Profunds Short's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Profunds Short Bitcoin upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.88 | |||
| Information Ratio | 0.1266 | |||
| Maximum Drawdown | 12.5 | |||
| Value At Risk | (3.83) | |||
| Potential Upside | 5.62 |
Profunds Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Profunds Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Profunds Short's standard deviation. In reality, there are many statistical measures that can use Profunds Short historical prices to predict the future Profunds Short's volatility.| Risk Adjusted Performance | 0.115 | |||
| Jensen Alpha | 0.4671 | |||
| Total Risk Alpha | 0.2112 | |||
| Sortino Ratio | 0.1256 | |||
| Treynor Ratio | (0.39) |
Profunds Short January 29, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.115 | |||
| Market Risk Adjusted Performance | (0.38) | |||
| Mean Deviation | 2.24 | |||
| Semi Deviation | 2.54 | |||
| Downside Deviation | 2.88 | |||
| Coefficient Of Variation | 675.18 | |||
| Standard Deviation | 2.86 | |||
| Variance | 8.16 | |||
| Information Ratio | 0.1266 | |||
| Jensen Alpha | 0.4671 | |||
| Total Risk Alpha | 0.2112 | |||
| Sortino Ratio | 0.1256 | |||
| Treynor Ratio | (0.39) | |||
| Maximum Drawdown | 12.5 | |||
| Value At Risk | (3.83) | |||
| Potential Upside | 5.62 | |||
| Downside Variance | 8.29 | |||
| Semi Variance | 6.44 | |||
| Expected Short fall | (2.37) | |||
| Skewness | (0.11) | |||
| Kurtosis | (0.20) |
Profunds Short Bitcoin Backtested Returns
Profunds Short appears to be not too volatile, given 3 months investment horizon. Profunds Short Bitcoin maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the entity had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Profunds Short Bitcoin, which you can use to evaluate the volatility of the fund. Please evaluate Profunds Short's Risk Adjusted Performance of 0.115, semi deviation of 2.54, and Coefficient Of Variation of 675.18 to confirm if our risk estimates are consistent with your expectations. The fund holds a Beta of -1.06, which implies a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Profunds Short are expected to decrease slowly. On the other hand, during market turmoil, Profunds Short is expected to outperform it slightly.
Auto-correlation | -0.59 |
Good reverse predictability
Profunds Short Bitcoin has good reverse predictability. Overlapping area represents the amount of predictability between Profunds Short time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Profunds Short Bitcoin price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current Profunds Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.84 |
Profunds Short technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Profunds Short Bitcoin Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Profunds Short Bitcoin volatility developed by Welles Wilder.
About Profunds Short Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Profunds Short Bitcoin on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Profunds Short Bitcoin based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Profunds Short Bitcoin price pattern first instead of the macroeconomic environment surrounding Profunds Short Bitcoin. By analyzing Profunds Short's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Profunds Short's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Profunds Short specific price patterns or momentum indicators. Please read more on our technical analysis page.
Profunds Short January 29, 2026 Technical Indicators
Most technical analysis of Profunds help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Profunds from various momentum indicators to cycle indicators. When you analyze Profunds charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.115 | |||
| Market Risk Adjusted Performance | (0.38) | |||
| Mean Deviation | 2.24 | |||
| Semi Deviation | 2.54 | |||
| Downside Deviation | 2.88 | |||
| Coefficient Of Variation | 675.18 | |||
| Standard Deviation | 2.86 | |||
| Variance | 8.16 | |||
| Information Ratio | 0.1266 | |||
| Jensen Alpha | 0.4671 | |||
| Total Risk Alpha | 0.2112 | |||
| Sortino Ratio | 0.1256 | |||
| Treynor Ratio | (0.39) | |||
| Maximum Drawdown | 12.5 | |||
| Value At Risk | (3.83) | |||
| Potential Upside | 5.62 | |||
| Downside Variance | 8.29 | |||
| Semi Variance | 6.44 | |||
| Expected Short fall | (2.37) | |||
| Skewness | (0.11) | |||
| Kurtosis | (0.20) |
Profunds Short January 29, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Profunds stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.06 | ||
| Day Median Price | 27.65 | ||
| Day Typical Price | 27.65 | ||
| Price Action Indicator | 0.73 |
Other Information on Investing in Profunds Mutual Fund
Profunds Short financial ratios help investors to determine whether Profunds Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Profunds with respect to the benefits of owning Profunds Short security.
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