Smart For Stock Forecast - Polynomial Regression

SMFLDelisted Stock  USD 0.03  0.01  32.94%   
The Polynomial Regression forecasted value of Smart for Life, on the next trading day is expected to be -0.06 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.56. Smart Stock Forecast is based on your current time horizon.
  
Smart For polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Smart for Life, as well as the accuracy indicators are determined from the period prices.

Smart For Polynomial Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Smart for Life, on the next trading day is expected to be -0.06 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.05, and the sum of the absolute errors of 11.56.
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 ForSmart For Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial 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.
AICAkaike Information Criteria115.197
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1895
MAPEMean absolute percentage error0.5705
SAESum of the absolute errors11.5591
A single variable polynomial regression model attempts to put a curve through the Smart For historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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.
Hype
Prediction
LowEstimatedHigh
0.000.0327.41
Details
Intrinsic
Valuation
LowRealHigh
0.000.0327.41
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-0.061.382.82
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Smart For. Your research has to be compared to or analyzed against Smart For's peers to derive any actionable benefits. When done correctly, Smart For's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Smart for Life,.

View Smart For Related Equities

 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.

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.
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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in census.
You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

Other Consideration for investing in Smart Stock

If you are still planning to invest in Smart for Life, check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Smart For's history and understand the potential risks before investing.
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Stocks Directory
Find actively traded stocks across global markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Bonds Directory
Find actively traded corporate debentures issued by US companies
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk