Monad Technical Analysis
| MON Crypto | USD 0.02 0.0004 2.22% |
As of the 3rd of February, Monad secures the Risk Adjusted Performance of (0.09), standard deviation of 8.2, and Mean Deviation of 4.13. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Monad, as well as the relationship between them.
Monad Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Monad, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MonadMonad |
Monad '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 Monad'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 Monad.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Monad on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Monad or generate 0.0% return on investment in Monad over 90 days. Monad is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Monad is peer-to-peer digital currency powered by the Blockchain technology.
Monad 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 Monad'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 Monad upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 68.75 | |||
| Value At Risk | (12.82) | |||
| Potential Upside | 4.37 |
Monad Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Monad's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Monad's standard deviation. In reality, there are many statistical measures that can use Monad historical prices to predict the future Monad's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (1.08) | |||
| Total Risk Alpha | (1.61) | |||
| Treynor Ratio | 5.3 |
Monad February 3, 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 | (0.09) | |||
| Market Risk Adjusted Performance | 5.31 | |||
| Mean Deviation | 4.13 | |||
| Coefficient Of Variation | (755.77) | |||
| Standard Deviation | 8.2 | |||
| Variance | 67.17 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (1.08) | |||
| Total Risk Alpha | (1.61) | |||
| Treynor Ratio | 5.3 | |||
| Maximum Drawdown | 68.75 | |||
| Value At Risk | (12.82) | |||
| Potential Upside | 4.37 | |||
| Skewness | 3.5 | |||
| Kurtosis | 22.97 |
Monad Backtested Returns
Monad is abnormally risky given 3 months investment horizon. Monad has Sharpe Ratio of 0.12, which conveys that digital coin had a 0.12 % return per unit of risk over the last 3 months. We were able to interpolate twenty-three different technical indicators, which can help you to evaluate if expected returns of 14.74% are justified by taking the suggested risk. Use Monad Standard Deviation of 8.2, mean deviation of 4.13, and Risk Adjusted Performance of (0.09) to evaluate coin specific risk that cannot be diversified away. The crypto secures a Beta (Market Risk) of -0.21, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Monad are expected to decrease at a much lower rate. During the bear market, Monad is likely to outperform the market.
Auto-correlation | -0.09 |
Very weak reverse predictability
Monad has very weak reverse predictability. Overlapping area represents the amount of predictability between Monad time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd 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 Monad price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Monad price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Monad 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.
Monad Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Monad across different markets.
About Monad 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 Monad 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 Monad based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Monad price pattern first instead of the macroeconomic environment surrounding Monad. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Monad'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 Monad specific price patterns or momentum indicators.
Monad February 3, 2026 Technical Indicators
Most technical analysis of Monad 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 Monad from various momentum indicators to cycle indicators. When you analyze Monad 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 | (0.09) | |||
| Market Risk Adjusted Performance | 5.31 | |||
| Mean Deviation | 4.13 | |||
| Coefficient Of Variation | (755.77) | |||
| Standard Deviation | 8.2 | |||
| Variance | 67.17 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (1.08) | |||
| Total Risk Alpha | (1.61) | |||
| Treynor Ratio | 5.3 | |||
| Maximum Drawdown | 68.75 | |||
| Value At Risk | (12.82) | |||
| Potential Upside | 4.37 | |||
| Skewness | 3.5 | |||
| Kurtosis | 22.97 |
Monad February 3, 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 Monad 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 | 263,578 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 0.02 | ||
| Day Typical Price | 0.02 | ||
| Price Action Indicator | 0.00 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Monad. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in industry. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.