Sfc Energy Ag Stock Market Value
| SSMFF Stock | USD 14.42 0.00 0.00% |
| Symbol | SFC |
SFC Energy '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 SFC Energy'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 SFC Energy.
| 07/23/2025 |
| 01/19/2026 |
If you would invest 0.00 in SFC Energy on July 23, 2025 and sell it all today you would earn a total of 0.00 from holding SFC Energy AG or generate 0.0% return on investment in SFC Energy over 180 days. SFC Energy is related to or competes with Duerr AG, Aida Engineering, Semperit Aktiengesellscha, Semperit Aktiengesellscha, Heidelberger Druckmaschinen, Nel ASA, and Airtificial Intelligence. SFC Energy AG develops, produces, and distributes power generation systems and components for off-grid and on-grid appli... More
SFC Energy 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 SFC Energy'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 SFC Energy AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 12.5 | |||
| Value At Risk | (6.18) |
SFC Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SFC Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SFC Energy's standard deviation. In reality, there are many statistical measures that can use SFC Energy historical prices to predict the future SFC Energy's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (0.50) | |||
| Total Risk Alpha | (0.82) | |||
| Treynor Ratio | 2.41 |
SFC Energy AG Backtested Returns
SFC Energy AG retains Efficiency (Sharpe Ratio) of -0.23, which indicates the firm had a -0.23 % return per unit of volatility over the last 3 months. SFC Energy exposes eighteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SFC Energy's risk adjusted performance of (0.15), and Standard Deviation of 2.29 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of -0.21, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SFC Energy are expected to decrease at a much lower rate. During the bear market, SFC Energy is likely to outperform the market. At this point, SFC Energy AG has a negative expected return of -0.52%. Please make sure to validate SFC Energy's jensen alpha, as well as the relationship between the kurtosis and relative strength index , to decide if SFC Energy AG performance from the past will be repeated in the future.
Auto-correlation | 0.00 |
No correlation between past and present
SFC Energy AG has no correlation between past and present. Overlapping area represents the amount of predictability between SFC Energy time series from 23rd of July 2025 to 21st of October 2025 and 21st of October 2025 to 19th 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 SFC Energy AG price movement. The serial correlation of 0.0 indicates that just 0.0% of current SFC Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 4.2 |
SFC Energy AG lagged returns against current returns
Autocorrelation, which is SFC Energy 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 SFC Energy's pink sheet expected returns. We can calculate the autocorrelation of SFC Energy returns to help us make a trade decision. For example, suppose you find that SFC Energy 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 |
SFC Energy 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 SFC Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SFC Energy pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SFC Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
SFC Energy Lagged Returns
When evaluating SFC Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SFC Energy pink sheet have on its future price. SFC Energy 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, SFC Energy autocorrelation shows the relationship between SFC Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in SFC Energy AG.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SFC Pink Sheet
SFC Energy financial ratios help investors to determine whether SFC 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 SFC with respect to the benefits of owning SFC Energy security.