Smart Decision Stock Market Value
| SDEC Stock | USD 0.0001 0.00 0.00% |
| Symbol | Smart |
Smart Decision '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 Smart Decision'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 Smart Decision.
| 06/17/2024 |
| 12/14/2024 |
If you would invest 0.00 in Smart Decision on June 17, 2024 and sell it all today you would earn a total of 0.00 from holding Smart Decision or generate 0.0% return on investment in Smart Decision over 180 days. Smart Decision, Inc. engages in developing algorithms for the consumer and business LED lighting and CBD markets More
Smart Decision 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 Smart Decision'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 Smart Decision upside and downside potential and time the market with a certain degree of confidence.
Smart Decision Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Smart Decision's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smart Decision's standard deviation. In reality, there are many statistical measures that can use Smart Decision historical prices to predict the future Smart Decision's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Smart Decision'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.
Smart Decision Backtested Returns
We have found three technical indicators for Smart Decision, 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 Smart Decision are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Smart Decision has no correlation between past and present. Overlapping area represents the amount of predictability between Smart Decision time series from 17th of June 2024 to 15th of September 2024 and 15th of September 2024 to 14th 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 Smart Decision price movement. The serial correlation of 0.0 indicates that just 0.0% of current Smart Decision price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Smart Decision lagged returns against current returns
Autocorrelation, which is Smart Decision 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 Smart Decision's pink sheet expected returns. We can calculate the autocorrelation of Smart Decision returns to help us make a trade decision. For example, suppose you find that Smart Decision 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 |
Smart Decision 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 Smart Decision pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Smart Decision pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Smart Decision pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Smart Decision Lagged Returns
When evaluating Smart Decision's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Smart Decision pink sheet have on its future price. Smart Decision 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, Smart Decision autocorrelation shows the relationship between Smart Decision pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Smart Decision.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Smart Pink Sheet
Smart Decision financial ratios help investors to determine whether Smart 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 Smart with respect to the benefits of owning Smart Decision security.