Moneyonmobile Stock Technical Analysis
| MOMT Stock | USD 0.06 0.03 88.07% |
As of the 6th of February, MoneyOnMobile secures the Downside Deviation of 33.47, mean deviation of 12.9, and Risk Adjusted Performance of 0.0815. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of MoneyOnMobile, as well as the relationship between them.
MoneyOnMobile Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as MoneyOnMobile, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MoneyOnMobileMoneyOnMobile |
MoneyOnMobile '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 MoneyOnMobile's pink sheet 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 MoneyOnMobile.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in MoneyOnMobile on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding MoneyOnMobile or generate 0.0% return on investment in MoneyOnMobile over 90 days. MoneyOnMobile is related to or competes with Morningstar Unconstrained, T Rowe, Oramed Pharmaceuticals, Virtus Dfa, Charming Medical, Golub Capital, and Goldman Sachs. MoneyOnMobile, Inc. offers MoneyOnMobile, a mobile SMS and smart phone application More
MoneyOnMobile 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 MoneyOnMobile's pink sheet 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 MoneyOnMobile upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 33.47 | |||
| Information Ratio | 0.094 | |||
| Maximum Drawdown | 220.29 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 20.0 |
MoneyOnMobile Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MoneyOnMobile's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MoneyOnMobile's standard deviation. In reality, there are many statistical measures that can use MoneyOnMobile historical prices to predict the future MoneyOnMobile's volatility.| Risk Adjusted Performance | 0.0815 | |||
| Jensen Alpha | 2.89 | |||
| Total Risk Alpha | 1.5 | |||
| Sortino Ratio | 0.0867 | |||
| Treynor Ratio | 2.31 |
MoneyOnMobile February 6, 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 | 0.0815 | |||
| Market Risk Adjusted Performance | 2.32 | |||
| Mean Deviation | 12.9 | |||
| Semi Deviation | 13.07 | |||
| Downside Deviation | 33.47 | |||
| Coefficient Of Variation | 1047.72 | |||
| Standard Deviation | 30.88 | |||
| Variance | 953.69 | |||
| Information Ratio | 0.094 | |||
| Jensen Alpha | 2.89 | |||
| Total Risk Alpha | 1.5 | |||
| Sortino Ratio | 0.0867 | |||
| Treynor Ratio | 2.31 | |||
| Maximum Drawdown | 220.29 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 20.0 | |||
| Downside Variance | 1120.01 | |||
| Semi Variance | 170.8 | |||
| Expected Short fall | (55.83) | |||
| Skewness | 3.37 | |||
| Kurtosis | 15.73 |
MoneyOnMobile Backtested Returns
MoneyOnMobile is out of control given 3 months investment horizon. MoneyOnMobile has Sharpe Ratio of 0.14, which conveys that the firm had a 0.14 % return per unit of risk over the last 3 months. We have collected data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 4.31% are justified by taking the suggested risk. Use MoneyOnMobile Mean Deviation of 12.9, downside deviation of 33.47, and Risk Adjusted Performance of 0.0815 to evaluate company specific risk that cannot be diversified away. MoneyOnMobile holds a performance score of 11 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 1.27, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, MoneyOnMobile will likely underperform. Use MoneyOnMobile value at risk, as well as the relationship between the kurtosis and period momentum indicator , to analyze future returns on MoneyOnMobile.
Auto-correlation | -0.03 |
Very weak reverse predictability
MoneyOnMobile has very weak reverse predictability. Overlapping area represents the amount of predictability between MoneyOnMobile time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 MoneyOnMobile price movement. The serial correlation of -0.03 indicates that only 3.0% of current MoneyOnMobile price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
MoneyOnMobile technical pink sheet 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, pink sheet market cycles, or different charting patterns.
MoneyOnMobile Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 MoneyOnMobile volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About MoneyOnMobile 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 MoneyOnMobile 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 MoneyOnMobile based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on MoneyOnMobile price pattern first instead of the macroeconomic environment surrounding MoneyOnMobile. By analyzing MoneyOnMobile's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of MoneyOnMobile's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to MoneyOnMobile specific price patterns or momentum indicators. Please read more on our technical analysis page.
MoneyOnMobile February 6, 2026 Technical Indicators
Most technical analysis of MoneyOnMobile 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 MoneyOnMobile from various momentum indicators to cycle indicators. When you analyze MoneyOnMobile 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 | 0.0815 | |||
| Market Risk Adjusted Performance | 2.32 | |||
| Mean Deviation | 12.9 | |||
| Semi Deviation | 13.07 | |||
| Downside Deviation | 33.47 | |||
| Coefficient Of Variation | 1047.72 | |||
| Standard Deviation | 30.88 | |||
| Variance | 953.69 | |||
| Information Ratio | 0.094 | |||
| Jensen Alpha | 2.89 | |||
| Total Risk Alpha | 1.5 | |||
| Sortino Ratio | 0.0867 | |||
| Treynor Ratio | 2.31 | |||
| Maximum Drawdown | 220.29 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 20.0 | |||
| Downside Variance | 1120.01 | |||
| Semi Variance | 170.8 | |||
| Expected Short fall | (55.83) | |||
| Skewness | 3.37 | |||
| Kurtosis | 15.73 |
MoneyOnMobile February 6, 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 MoneyOnMobile 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 | 1.88 | ||
| Day Median Price | 0.06 | ||
| Day Typical Price | 0.06 | ||
| Price Action Indicator | 0.01 |
Additional Tools for MoneyOnMobile Pink Sheet Analysis
When running MoneyOnMobile's price analysis, check to measure MoneyOnMobile's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy MoneyOnMobile is operating at the current time. Most of MoneyOnMobile's value examination focuses on studying past and present price action to predict the probability of MoneyOnMobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MoneyOnMobile's price. Additionally, you may evaluate how the addition of MoneyOnMobile to your portfolios can decrease your overall portfolio volatility.