Blockchain Technologies ETF Technical Analysis
| HBLK Etf | CAD 20.58 -0.51 -2.42% |
As of the 21st of March, Blockchain Technologies maintains a quoted price of 20.58 per share. Short-term indicators show Risk Adjusted Performance of 6.0E-4, mean deviation of 2.63, and Standard Deviation of 3.37. The model measures trend continuation and reversal probability using historical patterns. Comparative analytics measure deviation from sector averages.
Blockchain Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Blockchain, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BlockchainBlockchain |
What if' Analysis
Backtesting a what-if scenario on Blockchain Technologies ETF shows how the etf may have behaved if the position had been entered, held, or resized under different historical assumptions. This becomes more informative when investors use the backtest to challenge timing assumptions rather than to search for a perfect historical entry point.
| 12/21/2025 |
| 03/21/2026 |
Had you placed 0.00 in Blockchain Technologies on December 21, 2025 and held until today, you would produce 0.00 in aggregate gains. The result is a 0.0% total return in Blockchain Technologies for the period measured over 90 days. The competitive set for Blockchain Technologies includes Evolve Future, Purpose Best, IShares MSCI, Purpose Global, BMO Tactical, Guardian, and Evolve E. Comparative context is available through the listed peers. The competitive landscape is defined by sector overlap and operational similarity. The Harvest ETF seeks to replicate, to the extent reasonably possible and before fees and expenses, the performance of t... More
Blockchain Technologies Momentum Range Indicators Signals
Momentum range indicators for Blockchain Technologies reflect the balance between upside and downside price pressure. This view helps summarize momentum conditions without implying direction. The dataset is based on available price and volume observations.
| Information Ratio | 0.0174 | |||
| Maximum Drawdown | 15.18 | |||
| Value At Risk | -4.79 | |||
| Potential Upside | 6.06 |
Blockchain Technologies Volatility and Risk Indicators Overview
Market risk indicators summarize volatility and return dispersion for Blockchain Technologies. Volatility patterns are derived from recorded market data across available periods. All data reflects available market observations.| Risk Adjusted Performance | 6.0E-4 | |||
| Jensen Alpha | 0.1548 | |||
| Total Risk Alpha | 0.3741 | |||
| Treynor Ratio | -0.02 |
Investors who believe in mean reversion view Blockchain Technologies' price extremes not as permanent states but as temporary dislocations that create opportunities for disciplined, contrarian capital allocation.
Technical Indicators
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 6.0E-4 | |||
| Market Risk Adjusted Performance | -0.01 | |||
| Mean Deviation | 2.63 | |||
| Coefficient Of Variation | -11,437 | |||
| Standard Deviation | 3.37 | |||
| Variance | 11.39 | |||
| Information Ratio | 0.0174 | |||
| Jensen Alpha | 0.1548 | |||
| Total Risk Alpha | 0.3741 | |||
| Treynor Ratio | -0.02 | |||
| Maximum Drawdown | 15.18 | |||
| Value At Risk | -4.79 | |||
| Potential Upside | 6.06 | |||
| Skewness | 0.4502 | |||
| Kurtosis | 0.7639 |
Blockchain Technologies Backtested Returns
Blockchain Technologies shows a low volatility profile relative to the chosen timeframe. It records an Efficiency (Sharpe) Ratio of -0.0366, indicating negative risk-adjusted returns over the last 3 months. Volatility modeling revealed twenty-three technical measures impacting risk exposure. Please evaluate metrics such as risk-adjusted performance of 6.0E-4, mean deviation of 2.63, and standard deviation of 3.37 to review standard deviation behavior. The etf retains a Market Volatility (i.e., Beta) of 1.98, which alludes to a somewhat significant risk relative to the market. Market upswings tend to lift Blockchain Technologies more than average, but downturns carry a proportionally larger impact on returns.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Comparing Blockchain Technologies's price behavior from 21st of December 2025 to 4th of February 2026 with the period from 4th of February 2026 to 21st of March 2026 produces insignificant reverse predictability. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Blockchain Technologies may be projected. The coefficient of -0.18 links over 18.0% of Blockchain Technologies's present price action to its own historical movements. Given that Blockchain Technologies ETF has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.82 |
Price behavior for Blockchain Technologies is studied within a technical framework. This approach uses standard technical indicators across price data. All inputs are derived from historical price and volume observations.
Technical Analysis
This analysis covers twenty-five 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 Blockchain Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Blockchain Technologies evaluates traded price structure, volume, and spread stability relative to NAV behavior. Trend alignment improves interpretability of cross-signal confirmation.
This section for Blockchain Technologies ETF 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:
Vlad Skutelnik - Macroaxis ContributorBlockchain Technologies Technical Indicators
Investors following Blockchain Technologies ETF often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. 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 | 6.0E-4 | |||
| Market Risk Adjusted Performance | -0.01 | |||
| Mean Deviation | 2.63 | |||
| Coefficient Of Variation | -11,437 | |||
| Standard Deviation | 3.37 | |||
| Variance | 11.39 | |||
| Information Ratio | 0.0174 | |||
| Jensen Alpha | 0.1548 | |||
| Total Risk Alpha | 0.3741 | |||
| Treynor Ratio | -0.02 | |||
| Maximum Drawdown | 15.18 | |||
| Value At Risk | -4.79 | |||
| Potential Upside | 6.06 | |||
| Skewness | 0.4502 | |||
| Kurtosis | 0.7639 |
March 21, 2026 Daily Trend Indicators
Investors following Blockchain Technologies ETF often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Accumulation Distribution | 122.81 | ||
| Daily Balance Of Power | -0.62 | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 20.99 | ||
| Day Typical Price | 20.85 | ||
| Price Action Indicator | -0.67 | ||
| Market Facilitation Index | 0.0003 |
More Resources for Blockchain Etf Analysis
Other Information on Investing in Blockchain Etf
These ratios describe connections between financial data points for Blockchain Technologies. This helps frame how profit and cash flow relate to overall value. The format ensures data can be compared on a consistent basis.