BeLive Holdings Stock Forecast - Polynomial Regression

BLIV Stock   3.58  0.04  1.13%   
The Polynomial Regression forecasted value of BeLive Holdings Ordinary on the next trading day is expected to be 3.62 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.25. BeLive Stock Forecast is based on your current time horizon.
At this time, BeLive Holdings' Receivables Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to climb to 321.31 in 2025, whereas Payables Turnover is likely to drop 3.86 in 2025. . Common Stock Shares Outstanding is likely to drop to about 8.9 M in 2025.
BeLive Holdings polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BeLive Holdings Ordinary as well as the accuracy indicators are determined from the period prices.

BeLive Holdings Polynomial Regression Price Forecast For the 22nd of November

Given 90 days horizon, the Polynomial Regression forecasted value of BeLive Holdings Ordinary on the next trading day is expected to be 3.62 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.25.
Please note that although there have been many attempts to predict BeLive 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 BeLive Holdings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BeLive Holdings Stock Forecast Pattern

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BeLive Holdings Forecasted Value

In the context of forecasting BeLive Holdings' 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. BeLive Holdings' downside and upside margins for the forecasting period are 0.79 and 6.46, respectively. We have considered BeLive Holdings' 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.
Market Value
3.58
3.62
Expected Value
6.46
Upside

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 BeLive Holdings stock data series using in forecasting. Note that when a statistical model is used to represent BeLive 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 Criteria115.372
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0685
MAPEMean absolute percentage error0.0186
SAESum of the absolute errors4.2456
A single variable polynomial regression model attempts to put a curve through the BeLive 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 BeLive 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 BeLive Holdings Ordinary. 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
0.683.516.34
Details
Intrinsic
Valuation
LowRealHigh
0.223.055.88
Details

Other Forecasting Options for BeLive Holdings

For every potential investor in BeLive, whether a beginner or expert, BeLive Holdings' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BeLive Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BeLive. Basic forecasting techniques help filter out the noise by identifying BeLive Holdings' price trends.

BeLive Holdings 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 BeLive Holdings stock to make a market-neutral strategy. Peer analysis of BeLive Holdings could also be used in its relative valuation, which is a method of valuing BeLive Holdings by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

BeLive Holdings Ordinary 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 BeLive Holdings' 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 BeLive Holdings' current price.

BeLive Holdings Market Strength Events

Market strength indicators help investors to evaluate how BeLive 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 BeLive Holdings shares will generate the highest return on investment. By undertsting and applying BeLive Holdings stock market strength indicators, traders can identify BeLive Holdings Ordinary entry and exit signals to maximize returns.

BeLive Holdings Risk Indicators

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

Thematic Opportunities

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Additional Tools for BeLive Stock Analysis

When running BeLive Holdings' price analysis, check to measure BeLive Holdings' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy BeLive Holdings is operating at the current time. Most of BeLive Holdings' value examination focuses on studying past and present price action to predict the probability of BeLive Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BeLive Holdings' price. Additionally, you may evaluate how the addition of BeLive Holdings to your portfolios can decrease your overall portfolio volatility.