Bitcoin Strategy Profund Fund Technical Analysis
| BTCFX Fund | USD 16.42 0.62 3.92% |
Market data as of the 18th of March 2026 shows Bitcoin Strategy priced at 16.42 per share. Measured indicators report Risk Adjusted Performance of -0.06, standard deviation of 3.58, and Mean Deviation of 2.49. The model examines historical data series to identify measurable trend characteristics. Technical levels are measured against peer distributions.
Bitcoin Strategy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Bitcoin, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BitcoinBitcoin |
What if' Analysis
Backtesting a what-if scenario on Bitcoin Strategy Profund helps investors see how the fund may have behaved if the position had been entered, held, or resized under different historical assumptions. Valuation should still be reviewed through market value, enterprise value, revenue scale, and balance-sheet quality. The point is not to predict the future from one chart, but to understand how sensitive the trade has been to timing and holding assumptions.
| 12/18/2025 |
| 03/18/2026 |
Starting with 0.00 in Bitcoin Strategy on December 18, 2025 and exiting today would generate 0.00 in cumulative gains. This reflects a 0.0% total return in Bitcoin Strategy overall across 90 days. Bitcoin Strategy competes with or is related to BlackRock Utility, PIONEER AMT-FREE, MERIDIAN CONTRARIAN, GABELLI GOLD, WILMINGTON LARGE-CAP, Oppenheimer Global, and MERIDIAN CONTRARIAN. Peer context helps frame relative positioning. The fund seeks to achieve its investment objective primarily through managed exposure to bitcoin futures contracts More
Upside and Downside Indicators for Bitcoin Strategy Dashboard
This section highlights upside and downside signals that contextualize Bitcoin Strategy price behavior. The signals are presented as informational context for recent price movement.
| Information Ratio | -0.07 | |||
| Maximum Drawdown | 18.22 | |||
| Value At Risk | -5.64 | |||
| Potential Upside | 5.41 |
Bitcoin Strategy Volatility and Risk Indicators Summary
This section presents risk metrics that describe Bitcoin Strategy's historical price variability. This view provides neutral context for risk and variability.| Risk Adjusted Performance | -0.06 | |||
| Jensen Alpha | -0.34 | |||
| Total Risk Alpha | -0.12 | |||
| Treynor Ratio | 0.363 |
Mean reversion in Bitcoin Strategy's price occurs when temporary dislocations - caused by sentiment extremes, news events, or liquidity shocks - correct back toward the stock's historical fair value.
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 | -0.06 | |||
| Market Risk Adjusted Performance | 0.373 | |||
| Mean Deviation | 2.49 | |||
| Coefficient Of Variation | -1,197 | |||
| Standard Deviation | 3.58 | |||
| Variance | 12.81 | |||
| Information Ratio | -0.07 | |||
| Jensen Alpha | -0.34 | |||
| Total Risk Alpha | -0.12 | |||
| Treynor Ratio | 0.363 | |||
| Maximum Drawdown | 18.22 | |||
| Value At Risk | -5.64 | |||
| Potential Upside | 5.41 | |||
| Skewness | -0.18 | |||
| Kurtosis | 2.73 |
Bitcoin Strategy Profund Backtested Returns
Bitcoin Strategy currently shows a low volatility profile across the evaluation window. It has a Sharpe Ratio of -0.047, evidencing negative risk-calibrated returns. We identified twenty-one technical indicators influencing the company's volatility profile. Please assess metrics such as risk-adjusted performance of -0.06, standard deviation of 3.58, and mean deviation of 2.49 to validate implied volatility levels. The fund shows a Beta (market volatility) of -0.85, which alludes to possible diversification benefits within a given portfolio. Returns on Bitcoin Strategy drift modestly against the market trend, offering limited but measurable counter-cyclical behavior.
Auto-correlation | -0.46 |
Modest reverse predictability
Bitcoin Strategy Profund exhibits modest reverse predictability. Autocorrelation measures the degree of predictability between Bitcoin Strategy time series from 18th of December 2025 to 1st of February 2026 and from 1st of February 2026 to 18th of March 2026. Persistent correlation between intervals suggests underlying momentum patterns in Bitcoin Strategy that may carry forward. The measured coefficient of -0.46 means about 46.0% of Bitcoin Strategy's recent price variance traces back to prior period behavior. Given that Bitcoin Strategy Profund has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.55 |
Technical analysis for Bitcoin Strategy examines price and volume behavior across market regimes. The model references moving averages, relative strength, and price correlation signals.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Bitcoin Strategy Profund volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Bitcoin Strategy focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Support and resistance levels frame risk boundaries for observed price regimes.
This section for Bitcoin Strategy Profund is built from fund disclosures and market reference feeds, with harmonization applied to align reporting definitions. Values may update on different source schedules.
This content is curated and reviewed by:
Gabriel Shpitalnik - Member of Macroaxis Editorial BoardBitcoin Strategy Technical Indicators
Technical indicators tied to Bitcoin Strategy Profund help investors translate chart behavior into a more structured framework for entry, exit, and risk control. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.06 | |||
| Market Risk Adjusted Performance | 0.373 | |||
| Mean Deviation | 2.49 | |||
| Coefficient Of Variation | -1,197 | |||
| Standard Deviation | 3.58 | |||
| Variance | 12.81 | |||
| Information Ratio | -0.07 | |||
| Jensen Alpha | -0.34 | |||
| Total Risk Alpha | -0.12 | |||
| Treynor Ratio | 0.363 | |||
| Maximum Drawdown | 18.22 | |||
| Value At Risk | -5.64 | |||
| Potential Upside | 5.41 | |||
| Skewness | -0.18 | |||
| Kurtosis | 2.73 |
March 18, 2026 Daily Trend Indicators
Technical indicators tied to Bitcoin Strategy Profund help investors translate chart behavior into a more structured framework for entry, exit, and risk control. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.04 | ||
| Day Median Price | 16.42 | ||
| Day Typical Price | 16.42 | ||
| Price Action Indicator | 0.31 |