Compagnie Des Stock Forecast - Polynomial Regression

MLTRA Stock  EUR 9,200  0.00  0.00%   
The Polynomial Regression forecasted value of Compagnie des Tramways on the next trading day is expected to be 8,738 with a mean absolute deviation of 398.81 and the sum of the absolute errors of 24,726. Compagnie Stock Forecast is based on your current time horizon.
  
Compagnie Des polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Compagnie des Tramways as well as the accuracy indicators are determined from the period prices.

Compagnie Des Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Compagnie des Tramways on the next trading day is expected to be 8,375 with a mean absolute deviation of 415.27, mean absolute percentage error of 319,909, and the sum of the absolute errors of 25,331.
Please note that although there have been many attempts to predict Compagnie 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 Compagnie Des' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Compagnie Des 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 Compagnie Des stock data series using in forecasting. Note that when a statistical model is used to represent Compagnie Des 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 Criteria130.7863
BiasArithmetic mean of the errors None
MADMean absolute deviation415.2689
MAPEMean absolute percentage error0.055
SAESum of the absolute errors25331.4017
A single variable polynomial regression model attempts to put a curve through the Compagnie Des 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 Compagnie Des

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Compagnie des Tramways. 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
9,2009,2009,200
Details
Intrinsic
Valuation
LowRealHigh
8,8328,83210,120
Details
Bollinger
Band Projection (param)
LowMiddleHigh
9,0429,1719,300
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Compagnie Des. Your research has to be compared to or analyzed against Compagnie Des' peers to derive any actionable benefits. When done correctly, Compagnie Des' 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 Compagnie des Tramways.

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

Compagnie Des Market Strength Events

Market strength indicators help investors to evaluate how Compagnie Des stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Compagnie Des shares will generate the highest return on investment. By undertsting and applying Compagnie Des stock market strength indicators, traders can identify Compagnie des Tramways 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 Compagnie Stock Analysis

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