Singlepoint Stock Market Value
| SING Stock | USD 0.19 0.01 6.30% |
| 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 otc stock 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.
| 10/27/2023 |
| 04/24/2024 |
If you would invest 0.00 in SinglePoint on October 27, 2023 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 180 days. SinglePoint is related to or competes with FTC Solar, VivoPower International, and SPI Energy. 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 otc stock 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.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 57.22 | |||
| Value At Risk | (13.64) | |||
| Potential Upside | 15.63 |
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 | (0.1) | |||
| Jensen Alpha | (1.61) | |||
| Total Risk Alpha | (3.06) | |||
| Treynor Ratio | 1.38 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SinglePoint's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SinglePoint Backtested Returns
SinglePoint owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the firm had a -0.13% return per unit of risk over the last 3 months. SinglePoint exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SinglePoint's Coefficient Of Variation of (574.58), risk adjusted performance of (0.1), and Variance of 96.18 to confirm the risk estimate we provide. The entity has a beta of -1.25, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning SinglePoint are expected to decrease by larger amounts. On the other hand, during market turmoil, SinglePoint is expected to outperform it. SinglePoint has an expected return of -1.29%. Please make sure to validate SinglePoint skewness, as well as the relationship between the rate of daily change and price action indicator , to decide if SinglePoint performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.35 |
Poor reverse predictability
SinglePoint has poor reverse predictability. Overlapping area represents the amount of predictability between SinglePoint time series from 27th of October 2023 to 25th of January 2024 and 25th of January 2024 to 24th of April 2024. 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 -0.35 indicates that nearly 35.0% of current SinglePoint price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
SinglePoint lagged returns against current returns
Autocorrelation, which is SinglePoint otc stock'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 otc stock 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 otc stock 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 otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SinglePoint otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SinglePoint otc stock 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 otc stock 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 otc stock 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
Check out SinglePoint Correlation, SinglePoint Volatility and SinglePoint Alpha and Beta module to complement your research on SinglePoint. You can also try the Stocks Directory module to find actively traded stocks across global markets.
Complementary Tools for SinglePoint OTC Stock 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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SinglePoint technical otc stock 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, otc market cycles, or different charting patterns.