Ssmtf Stock Market Value
| SSMTF Stock | 0 0.00 0.00% |
| Symbol | SSMTF |
SSMTF '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 SSMTF'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 SSMTF.
| 12/21/2023 |
| 12/15/2024 |
If you would invest 0.00 in SSMTF on December 21, 2023 and sell it all today you would earn a total of 0.00 from holding SSMTF or generate 0.0% return on investment in SSMTF over 360 days.
SSMTF 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 SSMTF'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 SSMTF upside and downside potential and time the market with a certain degree of confidence.
SSMTF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSMTF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSMTF's standard deviation. In reality, there are many statistical measures that can use SSMTF historical prices to predict the future SSMTF's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SSMTF'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.
SSMTF Backtested Returns
We have found three technical indicators for SSMTF, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and SSMTF are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
SSMTF has no correlation between past and present. Overlapping area represents the amount of predictability between SSMTF time series from 21st of December 2023 to 18th of June 2024 and 18th of June 2024 to 15th of December 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 SSMTF price movement. The serial correlation of 0.0 indicates that just 0.0% of current SSMTF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SSMTF lagged returns against current returns
Autocorrelation, which is SSMTF 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 SSMTF's pink sheet expected returns. We can calculate the autocorrelation of SSMTF returns to help us make a trade decision. For example, suppose you find that SSMTF 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 |
SSMTF 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 SSMTF pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSMTF pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSMTF pink sheet over time.
Current vs Lagged Prices |
| Timeline |
SSMTF Lagged Returns
When evaluating SSMTF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSMTF pink sheet have on its future price. SSMTF 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, SSMTF autocorrelation shows the relationship between SSMTF pink sheet current value and its past values and can show if there is a momentum factor associated with investing in SSMTF.
Regressed Prices |
| Timeline |