Singlepoint Stock Market Value
| SING Stock | USD 0.0001 0.0002 66.67% |
| Symbol | SinglePoint |
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.
| 12/06/2025 |
| 01/05/2026 |
If you would invest 0.00 in SinglePoint on December 6, 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 30 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 | 65.6 | |||
| Information Ratio | 0.2283 | |||
| Maximum Drawdown | 983.33 | |||
| Value At Risk | (70.00) | |||
| Potential Upside | 200.0 |
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 | 0.1722 | |||
| Jensen Alpha | 37.2 | |||
| Total Risk Alpha | 24.4 | |||
| Sortino Ratio | 0.5671 | |||
| Treynor Ratio | 31.38 |
SinglePoint Backtested Returns
SinglePoint is out of control given 3 months investment horizon. SinglePoint owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.23, which indicates the firm had a 0.23 % return per unit of risk over the last 3 months. We were able to interpolate twenty-eight different technical indicators, which can help you to evaluate if expected returns of 37.87% are justified by taking the suggested risk. Use SinglePoint Risk Adjusted Performance of 0.1722, semi deviation of 35.88, and Coefficient Of Variation of 437.27 to evaluate company specific risk that cannot be diversified away. SinglePoint holds a performance score of 18 on a scale of zero to a hundred. The entity has a beta of 1.19, 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 and the relationship between the semi variance and price action indicator , to analyze future returns on SinglePoint.
Auto-correlation | -0.11 |
Insignificant reverse predictability
SinglePoint has insignificant reverse predictability. Overlapping area represents the amount of predictability between SinglePoint time series from 6th of December 2025 to 21st of December 2025 and 21st of December 2025 to 5th of January 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 -0.11 indicates that less than 11.0% of current SinglePoint price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.11 | |
| Spearman Rank Test | -0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SinglePoint lagged returns against current returns
Autocorrelation, which is SinglePoint pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting SinglePoint's pink sheet expected returns. We can calculate the autocorrelation of SinglePoint returns to help us make a trade decision. For example, suppose you find that SinglePoint has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
SinglePoint regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If SinglePoint pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SinglePoint pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SinglePoint pink sheet over time.
Current vs Lagged Prices |
| Timeline |
SinglePoint Lagged Returns
When evaluating SinglePoint's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SinglePoint pink sheet have on its future price. SinglePoint autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, SinglePoint autocorrelation shows the relationship between SinglePoint pink sheet current value and its past values and can show if there is a momentum factor associated with investing in SinglePoint.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SinglePoint Pink Sheet
SinglePoint financial ratios help investors to determine whether SinglePoint Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SinglePoint with respect to the benefits of owning SinglePoint security.