SpringBig Holdings Stock Forecast - Polynomial Regression

SBIGDelisted Stock  USD 0.34  0.03  8.11%   
The Polynomial Regression forecasted value of SpringBig Holdings on the next trading day is expected to be 0.30 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.04. SpringBig Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SpringBig Holdings' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
SpringBig Holdings polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SpringBig Holdings as well as the accuracy indicators are determined from the period prices.

SpringBig Holdings Polynomial Regression Price Forecast For the 4th of December

Given 90 days horizon, the Polynomial Regression forecasted value of SpringBig Holdings on the next trading day is expected to be 0.30 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.04.
Please note that although there have been many attempts to predict SpringBig 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 SpringBig Holdings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SpringBig Holdings Stock Forecast Pattern

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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 SpringBig Holdings stock data series using in forecasting. Note that when a statistical model is used to represent SpringBig Holdings 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 Criteria112.7061
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0499
MAPEMean absolute percentage error0.112
SAESum of the absolute errors3.0434
A single variable polynomial regression model attempts to put a curve through the SpringBig Holdings 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 SpringBig Holdings

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SpringBig Holdings. 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
0.340.340.34
Details
Intrinsic
Valuation
LowRealHigh
0.320.320.37
Details

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 Risk & Return  Correlation

SpringBig Holdings Market Strength Events

Market strength indicators help investors to evaluate how SpringBig Holdings stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SpringBig Holdings shares will generate the highest return on investment. By undertsting and applying SpringBig Holdings stock market strength indicators, traders can identify SpringBig Holdings entry and exit signals to maximize returns.

SpringBig Holdings Risk Indicators

The analysis of SpringBig Holdings' 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 SpringBig Holdings' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting springbig 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.

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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 gross domestic product.
You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Consideration for investing in SpringBig Stock

If you are still planning to invest in SpringBig Holdings 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 SpringBig Holdings' history and understand the potential risks before investing.
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