Smart For Stock Forecast - Naive Prediction
| SMFL Stock | USD 0 0 187.50% |
The Naive Prediction forecasted value of Smart for Life on the next trading day is expected to be -0.0006 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.18. Smart Stock Forecast is based on your current time horizon. Although Smart For's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Smart For's systematic risk associated with finding meaningful patterns of Smart For fundamentals over time.
As of now the relative strength index (rsi) of Smart For's share price is below 20 . This usually implies that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Wall Street Target Price 8 | Quarterly Revenue Growth (0.43) |
Using Smart For hype-based prediction, you can estimate the value of Smart for Life from the perspective of Smart For response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Smart for Life on the next trading day is expected to be -0.0006 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.18. Smart For after-hype prediction price | USD 0.002334 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Smart For to cross-verify your projections. Smart For Additional Predictive Modules
Most predictive techniques to examine Smart price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Smart using various technical indicators. When you analyze Smart charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Smart For Cash Forecast
To forecast cash or other financial indicators, analysts must employ diverse statistical methods, techniques, and algorithms. This approach allows them to detect underlying patterns in the Smart For's financial statements, predicting their influence on future market prices.
Cash | First Reported 2010-12-31 | Previous Quarter 169.7 K | Current Value 153.2 K | Quarterly Volatility 127.4 K |
Smart For Naive Prediction Price Forecast For the 5th of January
Given 90 days horizon, the Naive Prediction forecasted value of Smart for Life on the next trading day is expected to be -0.0006 with a mean absolute deviation of 0, mean absolute percentage error of 0.000017, and the sum of the absolute errors of 0.18.Please note that although there have been many attempts to predict Smart Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Smart For's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Smart For Stock Forecast Pattern
| Backtest Smart For | Smart For Price Prediction | Buy or Sell Advice |
Smart For Forecasted Value
In the context of forecasting Smart For's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Smart For's downside and upside margins for the forecasting period are 0.000023 and 233.35, respectively. We have considered Smart For's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Smart For stock data series using in forecasting. Note that when a statistical model is used to represent Smart For stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 107.1267 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.003 |
| MAPE | Mean absolute percentage error | 1.9141 |
| SAE | Sum of the absolute errors | 0.1804 |
Predictive Modules for Smart For
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Smart for Life. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Smart For
For every potential investor in Smart, whether a beginner or expert, Smart For's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Smart Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Smart. Basic forecasting techniques help filter out the noise by identifying Smart For's price trends.Smart For Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Smart For stock to make a market-neutral strategy. Peer analysis of Smart For could also be used in its relative valuation, which is a method of valuing Smart For by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Smart for Life Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Smart For's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Smart For's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Smart For Market Strength Events
Market strength indicators help investors to evaluate how Smart For stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Smart For shares will generate the highest return on investment. By undertsting and applying Smart For stock market strength indicators, traders can identify Smart for Life entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 2.88 | |||
| Day Median Price | 0.0023 | |||
| Day Typical Price | 0.0023 | |||
| Price Action Indicator | 8.0E-4 | |||
| Period Momentum Indicator | 0.0015 |
Smart For Risk Indicators
The analysis of Smart For's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Smart For's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting smart stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 211.87 | |||
| Semi Deviation | 43.86 | |||
| Standard Deviation | 464.01 | |||
| Variance | 215306.89 | |||
| Downside Variance | 4710.95 | |||
| Semi Variance | 1923.8 | |||
| Expected Short fall | (425.60) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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Try AI Portfolio ProphetCheck out Historical Fundamental Analysis of Smart For to cross-verify your projections. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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.