Made SA Stock Forecast - Polynomial Regression

MLMAD Stock  EUR 11.70  0.00  0.00%   
The Polynomial Regression forecasted value of Made SA on the next trading day is expected to be 11.27 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.44. Made Stock Forecast is based on your current time horizon.
At this time the value of rsi of Made SA's share price is below 20 . This indicates 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
The successful prediction of Made SA's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Made SA, which may create opportunities for some arbitrage if properly timed.
Using Made SA hype-based prediction, you can estimate the value of Made SA from the perspective of Made SA response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Made SA on the next trading day is expected to be 11.27 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.44.

Made SA after-hype prediction price

    
  EUR 11.7  
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 Correlation Analysis 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 small area income & poverty estimates.

Made SA Additional Predictive Modules

Most predictive techniques to examine Made price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Made using various technical indicators. When you analyze Made 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.
Made SA polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Made SA as well as the accuracy indicators are determined from the period prices.

Made SA Polynomial Regression Price Forecast For the 18th of January 2026

Given 90 days horizon, the Polynomial Regression forecasted value of Made SA on the next trading day is expected to be 11.27 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.18, and the sum of the absolute errors of 16.44.
Please note that although there have been many attempts to predict Made 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 Made SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Made SA Stock Forecast Pattern

Backtest Made SAMade SA 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 Made SA stock data series using in forecasting. Note that when a statistical model is used to represent Made SA 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 Criteria116.3853
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2696
MAPEMean absolute percentage error0.022
SAESum of the absolute errors16.4448
A single variable polynomial regression model attempts to put a curve through the Made SA 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 Made SA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Made SA. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Made SA's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
11.7011.7011.70
Details
Intrinsic
Valuation
LowRealHigh
10.5312.4812.48
Details

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

Made SA Market Strength Events

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Made Stock Analysis

When running Made SA's price analysis, check to measure Made SA's 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 Made SA is operating at the current time. Most of Made SA's value examination focuses on studying past and present price action to predict the probability of Made SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Made SA's price. Additionally, you may evaluate how the addition of Made SA to your portfolios can decrease your overall portfolio volatility.