Smart For Stock Forward View - Simple Regression
| SMFL Stock | USD 0.0009 0.0002 28.57% |
Smart Stock outlook 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 suggest 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 Simple Regression forecasted value of Smart for Life on the next trading day is expected to be 0.0007 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.20. Smart For after-hype prediction price | USD 9.14E-4 |
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 Simple Regression Price Forecast For the 6th of February
Given 90 days horizon, the Simple Regression forecasted value of Smart for Life on the next trading day is expected to be 0.0007 with a mean absolute deviation of 0, mean absolute percentage error of 0.000021, and the sum of the absolute errors of 0.20.Please note that although there have been many attempts to predict Smart Stock prices using its time series forecasting, we generally do not suggest 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 | Research Analysis |
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 0.000009 and 234.65, 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 Simple Regression 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 | 107.3606 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0033 |
| MAPE | Mean absolute percentage error | 2.1502 |
| SAE | Sum of the absolute errors | 0.2029 |
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.Smart For After-Hype Price Density Analysis
As far as predicting the price of Smart For at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Smart For or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Smart For, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Smart For Estimiated After-Hype Price Volatility
In the context of predicting Smart For's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Smart For's historical news coverage. Smart For's after-hype downside and upside margins for the prediction period are 0.00 and 50.05, respectively. We have considered Smart For's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Smart For is out of control at this time. Analysis and calculation of next after-hype price of Smart for Life is based on 3 months time horizon.
Smart For Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Smart For is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Smart For backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Smart For, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
62.48 | 234.65 | 0.36 | 0.00 | 1 Events / Month | 0 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.0009 | 0.0009 | 1.60 |
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Smart For Hype Timeline
Smart for Life is at this time traded for 0.0009. The entity has historical hype elasticity of 0.36, and average elasticity to hype of competition of 0.0. Smart is forecasted to increase in value after the next headline, with the price projected to jump to 9.14E-4 or above. The average volatility of media hype impact on the company the price is over 100%. The price upswing on the next news is projected to be 1.6%, whereas the daily expected return is at this time at 62.48%. The volatility of related hype on Smart For is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company reported the previous year's revenue of 8.23 M. Net Loss for the year was (22.68 M) with profit before overhead, payroll, taxes, and interest of 2.7 M. Given the investment horizon of 90 days the next forecasted press release will be very soon. Check out Historical Fundamental Analysis of Smart For to cross-verify your projections.Smart For Related Hype Analysis
Having access to credible news sources related to Smart For's direct competition is more important than ever and may enhance your ability to predict Smart For's future price movements. Getting to know how Smart For's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Smart For may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| OGGFF | Organic Garage | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| AVIX | Avix Technologies | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| VRED | Virtual Ed Link | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GLCC | Good Life China | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| EMPO | Empowered Products | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 200.00 | |
| ZVOI | Zovio Inc | 0.00 | 0 per month | 22.30 | 0.17 | 150.00 | (60.00) | 3,400 | |
| TTCFQ | Tattooed Chef | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TDNT | Trident Brands | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 100.00 | |
| HPTN | Happy Town Holdings | 0.00 | 0 per month | 0.00 | 0.14 | 0.00 | 0.00 | 200.00 | |
| SHRG | Sharing Services Global | 0.00 | 0 per month | 0.00 | 0.04 | 0.00 | 0.00 | 76.92 |
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 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 | 1.29 | |||
| Day Median Price | 9.0E-4 | |||
| Day Typical Price | 9.0E-4 | |||
| Price Action Indicator | 1.0E-4 | |||
| Period Momentum Indicator | 2.0E-4 |
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 | 240.47 | |||
| Semi Deviation | 42.13 | |||
| Standard Deviation | 499.15 | |||
| Variance | 249152.26 | |||
| Downside Variance | 4886.01 | |||
| Semi Variance | 1774.98 | |||
| Expected Short fall | (585.82) |
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.
Story Coverage note for Smart For
The number of cover stories for Smart For depends on current market conditions and Smart For's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Smart For is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Smart For's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Smart For Short Properties
Smart For's future price predictability will typically decrease when Smart For's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Smart for Life often depends not only on the future outlook of the potential Smart For's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Smart For's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 60 K | |
| Cash And Short Term Investments | 188.6 K |
Check out Historical Fundamental Analysis of Smart For to cross-verify your projections. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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. Comprehensive Smart For assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Earnings Share -5.2 K | Revenue Per Share | Quarterly Revenue Growth (0.43) | Return On Assets | Return On Equity |
Investors evaluate Smart for Life using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Smart For's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause Smart For's market price to deviate significantly 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. Conversely, Smart For's market price signifies the transaction level at which participants voluntarily complete trades.