Safe Supply Streaming Stock Market Value
| SSPLF Stock | 0.04 0.01 56.00% |
| Symbol | Safe |
Safe Supply '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 Safe Supply'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 Safe Supply.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Safe Supply on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Safe Supply Streaming or generate 0.0% return on investment in Safe Supply over 90 days.
Safe Supply 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 Safe Supply'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 Safe Supply Streaming upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1741 | |||
| Maximum Drawdown | 153.62 | |||
| Potential Upside | 31.58 |
Safe Supply Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Safe Supply's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Safe Supply's standard deviation. In reality, there are many statistical measures that can use Safe Supply historical prices to predict the future Safe Supply's volatility.| Risk Adjusted Performance | 0.1402 | |||
| Jensen Alpha | 3.17 | |||
| Total Risk Alpha | 1.57 | |||
| Treynor Ratio | 1.73 |
Safe Supply January 24, 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 | 0.1402 | |||
| Market Risk Adjusted Performance | 1.74 | |||
| Mean Deviation | 7.72 | |||
| Coefficient Of Variation | 560.73 | |||
| Standard Deviation | 18.57 | |||
| Variance | 344.82 | |||
| Information Ratio | 0.1741 | |||
| Jensen Alpha | 3.17 | |||
| Total Risk Alpha | 1.57 | |||
| Treynor Ratio | 1.73 | |||
| Maximum Drawdown | 153.62 | |||
| Potential Upside | 31.58 | |||
| Skewness | 3.91 | |||
| Kurtosis | 20.0 |
Safe Supply Streaming Backtested Returns
Safe Supply Streaming owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the firm had a 0.18 % return per unit of risk over the last 3 months. We were able to break down and interpolate twenty different technical indicators, which can help you to evaluate if expected returns of 3.47% are justified by taking the suggested risk. Use Safe Supply Streaming Variance of 344.82, coefficient of variation of 560.73, and Risk Adjusted Performance of 0.1402 to evaluate company specific risk that cannot be diversified away. Safe Supply holds a performance score of 14 on a scale of zero to a hundred. The entity has a beta of 1.91, 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, Safe Supply will likely underperform. Use Safe Supply Streaming total risk alpha, as well as the relationship between the daily balance of power and price action indicator , to analyze future returns on Safe Supply Streaming.
Auto-correlation | -0.46 |
Modest reverse predictability
Safe Supply Streaming has modest reverse predictability. Overlapping area represents the amount of predictability between Safe Supply time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th 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 Safe Supply Streaming price movement. The serial correlation of -0.46 indicates that about 46.0% of current Safe Supply price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |