Quantum Resistant Technical Analysis
| QRL Crypto | USD 1.71 0.08 4.47% |
As of the 18th of February 2026, Quantum Resistant holds the Semi Deviation of 6.24, coefficient of variation of 1013.69, and Risk Adjusted Performance of 0.0873. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantum Resistant, as well as the relationship between them.
Quantum Resistant Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quantum, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QuantumQuantum |
Quantum Resistant '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 Quantum Resistant's crypto coin 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 Quantum Resistant.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Quantum Resistant on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Quantum Resistant Ledger or generate 0.0% return on investment in Quantum Resistant over 90 days. Quantum Resistant is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Quantum Resistant Ledger is peer-to-peer digital currency powered by the Blockchain technology.
Quantum Resistant 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 Quantum Resistant's crypto coin 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 Quantum Resistant Ledger upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.99 | |||
| Information Ratio | 0.0911 | |||
| Maximum Drawdown | 36.21 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 14.15 |
Quantum Resistant Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantum Resistant's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantum Resistant's standard deviation. In reality, there are many statistical measures that can use Quantum Resistant historical prices to predict the future Quantum Resistant's volatility.| Risk Adjusted Performance | 0.0873 | |||
| Jensen Alpha | 0.6641 | |||
| Total Risk Alpha | 0.3009 | |||
| Sortino Ratio | 0.091 | |||
| Treynor Ratio | 1.95 |
Quantum Resistant February 18, 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 | 0.0873 | |||
| Market Risk Adjusted Performance | 1.96 | |||
| Mean Deviation | 5.24 | |||
| Semi Deviation | 6.24 | |||
| Downside Deviation | 6.99 | |||
| Coefficient Of Variation | 1013.69 | |||
| Standard Deviation | 6.98 | |||
| Variance | 48.79 | |||
| Information Ratio | 0.0911 | |||
| Jensen Alpha | 0.6641 | |||
| Total Risk Alpha | 0.3009 | |||
| Sortino Ratio | 0.091 | |||
| Treynor Ratio | 1.95 | |||
| Maximum Drawdown | 36.21 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 14.15 | |||
| Downside Variance | 48.84 | |||
| Semi Variance | 38.98 | |||
| Expected Short fall | (5.61) | |||
| Skewness | 0.2728 | |||
| Kurtosis | 0.6041 |
Quantum Resistant Ledger Backtested Returns
Quantum Resistant appears to be unusually volatile, given 3 months investment horizon. Quantum Resistant Ledger maintains Sharpe Ratio (i.e., Efficiency) of 0.0458, which implies digital coin had a 0.0458 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Quantum Resistant Ledger, which you can use to evaluate the volatility of coin. Please evaluate Quantum Resistant's Semi Deviation of 6.24, risk adjusted performance of 0.0873, and Coefficient Of Variation of 1013.69 to confirm if our risk estimates are consistent with your expectations. The crypto holds a Beta of 0.35, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Quantum Resistant's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quantum Resistant is expected to be smaller as well.
Auto-correlation | -0.82 |
Excellent reverse predictability
Quantum Resistant Ledger has excellent reverse predictability. Overlapping area represents the amount of predictability between Quantum Resistant time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 Quantum Resistant Ledger price movement. The serial correlation of -0.82 indicates that around 82.0% of current Quantum Resistant price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
Quantum Resistant technical crypto coin 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, crypto market cycles, or different charting patterns.
Quantum Resistant Ledger Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Quantum Resistant Ledger volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Quantum Resistant 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 Quantum Resistant Ledger 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 Quantum Resistant Ledger based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Quantum Resistant Ledger price pattern first instead of the macroeconomic environment surrounding Quantum Resistant Ledger. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Quantum Resistant's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Quantum Resistant specific price patterns or momentum indicators.
Quantum Resistant February 18, 2026 Technical Indicators
Most technical analysis of Quantum 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 Quantum from various momentum indicators to cycle indicators. When you analyze Quantum 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 | 0.0873 | |||
| Market Risk Adjusted Performance | 1.96 | |||
| Mean Deviation | 5.24 | |||
| Semi Deviation | 6.24 | |||
| Downside Deviation | 6.99 | |||
| Coefficient Of Variation | 1013.69 | |||
| Standard Deviation | 6.98 | |||
| Variance | 48.79 | |||
| Information Ratio | 0.0911 | |||
| Jensen Alpha | 0.6641 | |||
| Total Risk Alpha | 0.3009 | |||
| Sortino Ratio | 0.091 | |||
| Treynor Ratio | 1.95 | |||
| Maximum Drawdown | 36.21 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 14.15 | |||
| Downside Variance | 48.84 | |||
| Semi Variance | 38.98 | |||
| Expected Short fall | (5.61) | |||
| Skewness | 0.2728 | |||
| Kurtosis | 0.6041 |
Quantum Resistant February 18, 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 Quantum 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 | 0.96 | ||
| Day Median Price | 1.71 | ||
| Day Typical Price | 1.71 | ||
| Price Action Indicator | (0.04) |
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Quantum Resistant Ledger. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .