Future Mobility Solutions Stock Market Value
| SLFFF Stock | USD 0.0001 0.00 0.00% |
| Symbol | Future |
Future Mobility '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 Future Mobility'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 Future Mobility.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Future Mobility on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Future Mobility Solutions or generate 0.0% return on investment in Future Mobility over 30 days. Future Mobility is related to or competes with Life Electric, Twin Vee, LCI Industries, Marine Products, MCBC Holdings, BRP, and Malibu Boats. Future Mobility Solutions Limited, together with its subsidiaries, manufactures and supplies small boats in New Zealand,... More
Future Mobility 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 Future Mobility'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 Future Mobility Solutions upside and downside potential and time the market with a certain degree of confidence.
Future Mobility Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Future Mobility's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Future Mobility's standard deviation. In reality, there are many statistical measures that can use Future Mobility historical prices to predict the future Future Mobility's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Future Mobility'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.
Future Mobility Solutions Backtested Returns
We have found three technical indicators for Future Mobility Solutions, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Future Mobility are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Future Mobility Solutions has no correlation between past and present. Overlapping area represents the amount of predictability between Future Mobility time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Future Mobility Solutions price movement. The serial correlation of 0.0 indicates that just 0.0% of current Future Mobility 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 |
Future Mobility Solutions lagged returns against current returns
Autocorrelation, which is Future Mobility 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 Future Mobility's pink sheet expected returns. We can calculate the autocorrelation of Future Mobility returns to help us make a trade decision. For example, suppose you find that Future Mobility 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 |
Future Mobility 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 Future Mobility pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Future Mobility pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Future Mobility pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Future Mobility Lagged Returns
When evaluating Future Mobility's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Future Mobility pink sheet have on its future price. Future Mobility 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, Future Mobility autocorrelation shows the relationship between Future Mobility pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Future Mobility Solutions.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Future Mobility in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Future Mobility's short interest history, or implied volatility extrapolated from Future Mobility options trading.
Currently Active Assets on Macroaxis
Check out Future Mobility Correlation, Future Mobility Volatility and Future Mobility Alpha and Beta module to complement your research on Future Mobility. Note that the Future Mobility Solutions information on this page should be used as a complementary analysis to other Future Mobility's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Complementary Tools for Future Pink Sheet analysis
When running Future Mobility's price analysis, check to measure Future Mobility'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 Future Mobility is operating at the current time. Most of Future Mobility's value examination focuses on studying past and present price action to predict the probability of Future Mobility's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Future Mobility's price. Additionally, you may evaluate how the addition of Future Mobility to your portfolios can decrease your overall portfolio volatility.
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Future Mobility technical pink sheet 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, pink sheet market cycles, or different charting patterns.