Singlepoint Stock Technical Analysis
| SING Stock | USD 0.0002 0.00 0.00% |
As of the 3rd of March, SinglePoint has the Risk Adjusted Performance of 0.1462, coefficient of variation of 561.57, and Semi Deviation of 36.17. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of SinglePoint, as well as the relationship between them. Please validate SinglePoint variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to decide if SinglePoint is priced more or less accurately, providing market reflects its prevalent price of 2.0E-4 per share. As SinglePoint appears to be a penny stock we also recommend to double-check its total risk alpha numbers.
SinglePoint Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SinglePoint, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SinglePointSinglePoint |
SinglePoint '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 SinglePoint'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 SinglePoint.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in SinglePoint on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding SinglePoint or generate 0.0% return on investment in SinglePoint over 90 days. SinglePoint Inc. focuses on providing renewable energy solutions and energy-efficient applications in the United States More
SinglePoint 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 SinglePoint'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 SinglePoint upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 70.0 | |||
| Information Ratio | 0.1779 | |||
| Maximum Drawdown | 3348.51 | |||
| Value At Risk | (80.00) | |||
| Potential Upside | 300.0 |
SinglePoint Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SinglePoint's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SinglePoint's standard deviation. In reality, there are many statistical measures that can use SinglePoint historical prices to predict the future SinglePoint's volatility.| Risk Adjusted Performance | 0.1462 | |||
| Jensen Alpha | 71.16 | |||
| Total Risk Alpha | 34.92 | |||
| Sortino Ratio | 1.04 | |||
| Treynor Ratio | 2.88 |
SinglePoint March 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 | 0.1462 | |||
| Market Risk Adjusted Performance | 2.89 | |||
| Mean Deviation | 141.65 | |||
| Semi Deviation | 36.17 | |||
| Downside Deviation | 70.0 | |||
| Coefficient Of Variation | 561.57 | |||
| Standard Deviation | 409.77 | |||
| Variance | 167913.13 | |||
| Information Ratio | 0.1779 | |||
| Jensen Alpha | 71.16 | |||
| Total Risk Alpha | 34.92 | |||
| Sortino Ratio | 1.04 | |||
| Treynor Ratio | 2.88 | |||
| Maximum Drawdown | 3348.51 | |||
| Value At Risk | (80.00) | |||
| Potential Upside | 300.0 | |||
| Downside Variance | 4899.86 | |||
| Semi Variance | 1308.03 | |||
| Expected Short fall | (357.99) | |||
| Skewness | 7.4 | |||
| Kurtosis | 57.85 |
SinglePoint Backtested Returns
SinglePoint is out of control given 3 months investment horizon. SinglePoint owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.26, which indicates the firm had a 0.26 % return per unit of risk over the last 3 months. We were able to interpolate twenty-five different technical indicators, which can help you to evaluate if expected returns of 42.1% are justified by taking the suggested risk. Use SinglePoint Coefficient Of Variation of 561.57, risk adjusted performance of 0.1462, and Semi Deviation of 36.17 to evaluate company specific risk that cannot be diversified away. SinglePoint holds a performance score of 20 on a scale of zero to a hundred. The entity has a beta of 25.34, which indicates 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, SinglePoint will likely underperform. Use SinglePoint maximum drawdown, as well as the relationship between the semi variance and rate of daily change , to analyze future returns on SinglePoint.
Auto-correlation | 0.03 |
Virtually no predictability
SinglePoint has virtually no predictability. Overlapping area represents the amount of predictability between SinglePoint time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 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 SinglePoint price movement. The serial correlation of 0.03 indicates that only 3.0% of current SinglePoint price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SinglePoint 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.
SinglePoint Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for SinglePoint across different markets.
About SinglePoint 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 SinglePoint 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 SinglePoint based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SinglePoint price pattern first instead of the macroeconomic environment surrounding SinglePoint. By analyzing SinglePoint'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 SinglePoint'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 SinglePoint specific price patterns or momentum indicators. Please read more on our technical analysis page.
SinglePoint March 3, 2026 Technical Indicators
Most technical analysis of SinglePoint 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 SinglePoint from various momentum indicators to cycle indicators. When you analyze SinglePoint 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 | 0.1462 | |||
| Market Risk Adjusted Performance | 2.89 | |||
| Mean Deviation | 141.65 | |||
| Semi Deviation | 36.17 | |||
| Downside Deviation | 70.0 | |||
| Coefficient Of Variation | 561.57 | |||
| Standard Deviation | 409.77 | |||
| Variance | 167913.13 | |||
| Information Ratio | 0.1779 | |||
| Jensen Alpha | 71.16 | |||
| Total Risk Alpha | 34.92 | |||
| Sortino Ratio | 1.04 | |||
| Treynor Ratio | 2.88 | |||
| Maximum Drawdown | 3348.51 | |||
| Value At Risk | (80.00) | |||
| Potential Upside | 300.0 | |||
| Downside Variance | 4899.86 | |||
| Semi Variance | 1308.03 | |||
| Expected Short fall | (357.99) | |||
| Skewness | 7.4 | |||
| Kurtosis | 57.85 |
SinglePoint March 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 SinglePoint 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for SinglePoint Pink Sheet analysis
When running SinglePoint's price analysis, check to measure SinglePoint'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 SinglePoint is operating at the current time. Most of SinglePoint's value examination focuses on studying past and present price action to predict the probability of SinglePoint's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SinglePoint's price. Additionally, you may evaluate how the addition of SinglePoint to your portfolios can decrease your overall portfolio volatility.
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