Cyber Hornet Sp Etf Market Value
| XXX Etf | 20.10 0.14 0.70% |
| Symbol | CYBER |
CYBER HORNET '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 CYBER HORNET's etf 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 CYBER HORNET.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in CYBER HORNET on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding CYBER HORNET SP or generate 0.0% return on investment in CYBER HORNET over 90 days.
CYBER HORNET 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 CYBER HORNET's etf 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 CYBER HORNET SP upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.86) | |||
| Maximum Drawdown | 2.58 | |||
| Value At Risk | (2.58) |
CYBER HORNET Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CYBER HORNET's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CYBER HORNET's standard deviation. In reality, there are many statistical measures that can use CYBER HORNET historical prices to predict the future CYBER HORNET's volatility.| Risk Adjusted Performance | (0.61) | |||
| Jensen Alpha | (0.80) | |||
| Total Risk Alpha | (0.91) | |||
| Treynor Ratio | (14.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CYBER HORNET's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
CYBER HORNET February 10, 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 | (0.61) | |||
| Market Risk Adjusted Performance | (14.73) | |||
| Mean Deviation | 0.7833 | |||
| Coefficient Of Variation | (131.62) | |||
| Standard Deviation | 1.03 | |||
| Variance | 1.06 | |||
| Information Ratio | (0.86) | |||
| Jensen Alpha | (0.80) | |||
| Total Risk Alpha | (0.91) | |||
| Treynor Ratio | (14.74) | |||
| Maximum Drawdown | 2.58 | |||
| Value At Risk | (2.58) | |||
| Skewness | (1.23) | |||
| Kurtosis | 0.9433 |
CYBER HORNET SP Backtested Returns
CYBER HORNET SP retains Efficiency (Sharpe Ratio) of -0.52, which signifies that the etf had a -0.52 % return per unit of risk over the last 3 months. CYBER HORNET exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CYBER HORNET's variance of 1.06, and Market Risk Adjusted Performance of (14.73) to double-check the risk estimate we provide. The etf owns a Beta (Systematic Risk) of 0.0538, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CYBER HORNET's returns are expected to increase less than the market. However, during the bear market, the loss of holding CYBER HORNET is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
CYBER HORNET SP has no correlation between past and present. Overlapping area represents the amount of predictability between CYBER HORNET time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 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 CYBER HORNET SP price movement. The serial correlation of 0.0 indicates that just 0.0% of current CYBER HORNET price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |