Smart For Life Stock Market Value
| SMFL Stock | USD 0 0 187.50% |
| Symbol | Smart |
Smart for Life Price To Book Ratio
Is Packaged Foods & Meats space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Smart For. If investors know Smart will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Smart For listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (362.17) | Revenue Per Share | Quarterly Revenue Growth (0.43) | Return On Assets | Return On Equity |
The market value of Smart for Life is measured differently than its book value, which is the value of Smart that is recorded on the company's balance sheet. Investors also form their own opinion of Smart For's value that differs from its market value or its book value, called intrinsic value, which is Smart For's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Smart For's market value can be influenced by many factors that don't directly affect Smart For's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Smart For's value and its price as these two are different measures arrived at by different means. Investors typically determine if Smart For is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Smart For's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Smart For '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 For's 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 Smart For.
| 12/06/2025 |
| 01/05/2026 |
If you would invest 0.00 in Smart For on December 6, 2025 and sell it all today you would earn a total of 0.00 from holding Smart for Life or generate 0.0% return on investment in Smart For over 30 days. Smart for Life, Inc. acquires, develops, manufactures, operates, markets, and sells nutraceutical and related products i... More
Smart For 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 For's 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 Smart for Life upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 68.64 | |||
| Information Ratio | 0.2404 | |||
| Maximum Drawdown | 3205.27 | |||
| Value At Risk | (87.14) | |||
| Potential Upside | 466.67 |
Smart For Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Smart For's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smart For's standard deviation. In reality, there are many statistical measures that can use Smart For historical prices to predict the future Smart For's volatility.| Risk Adjusted Performance | 0.1806 | |||
| Jensen Alpha | 119.06 | |||
| Total Risk Alpha | 75.02 | |||
| Sortino Ratio | 1.63 | |||
| Treynor Ratio | (0.84) |
Smart for Life Backtested Returns
Smart For is out of control given 3 months investment horizon. Smart for Life owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.28, which indicates the firm had a 0.28 % return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 65.8% are justified by taking the suggested risk. Use Smart for Life Coefficient Of Variation of 415.65, risk adjusted performance of 0.1806, and Semi Deviation of 43.86 to evaluate company specific risk that cannot be diversified away. Smart For holds a performance score of 22 on a scale of zero to a hundred. The entity has a beta of -132.92, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Smart For are expected to decrease by larger amounts. On the other hand, during market turmoil, Smart For is expected to outperform it. Use Smart for Life jensen alpha and the relationship between the value at risk and day typical price , to analyze future returns on Smart for Life.
Auto-correlation | -0.1 |
Very weak reverse predictability
Smart for Life has very weak reverse predictability. Overlapping area represents the amount of predictability between Smart For time series from 6th of December 2025 to 21st of December 2025 and 21st of December 2025 to 5th 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 Smart for Life price movement. The serial correlation of -0.1 indicates that less than 10.0% of current Smart For price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Smart for Life lagged returns against current returns
Autocorrelation, which is Smart For stock'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 For's stock expected returns. We can calculate the autocorrelation of Smart For returns to help us make a trade decision. For example, suppose you find that Smart For has exhibited high autocorrelation historically, and you observe that the stock 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 For 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 For stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Smart For stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Smart For stock over time.
Current vs Lagged Prices |
| Timeline |
Smart For Lagged Returns
When evaluating Smart For's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Smart For stock have on its future price. Smart For 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 For autocorrelation shows the relationship between Smart For stock current value and its past values and can show if there is a momentum factor associated with investing in Smart for Life.
Regressed Prices |
| Timeline |
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Smart For technical stock 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, stock market cycles, or different charting patterns.