COGNA EDUCACAO Stock Forecast - 8 Period Moving Average

KE0A Stock  EUR 0.18  0.10  35.71%   
The 8 Period Moving Average forecasted value of COGNA EDUCACAO SPADR on the next trading day is expected to be 0.20 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.71. COGNA Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of COGNA EDUCACAO's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for COGNA EDUCACAO is based on an artificially constructed time series of COGNA EDUCACAO daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

COGNA EDUCACAO 8 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of COGNA EDUCACAO SPADR on the next trading day is expected to be 0.20 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.71.
Please note that although there have been many attempts to predict COGNA 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 COGNA EDUCACAO's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

COGNA EDUCACAO Stock Forecast Pattern

Backtest COGNA EDUCACAOCOGNA EDUCACAO Price PredictionBuy or Sell Advice 

COGNA EDUCACAO Forecasted Value

In the context of forecasting COGNA EDUCACAO's 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. COGNA EDUCACAO's downside and upside margins for the forecasting period are 0 and 13.86, respectively. We have considered COGNA EDUCACAO's 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
0.18
0.20
Expected Value
13.86
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of COGNA EDUCACAO stock data series using in forecasting. Note that when a statistical model is used to represent COGNA EDUCACAO 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 Criteria95.6917
BiasArithmetic mean of the errors -6.0E-4
MADMean absolute deviation0.0135
MAPEMean absolute percentage error0.0649
SAESum of the absolute errors0.7138
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. COGNA EDUCACAO SPADR 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for COGNA EDUCACAO

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as COGNA EDUCACAO SPADR. 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
0.010.1813.75
Details
Intrinsic
Valuation
LowRealHigh
0.010.1713.74
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as COGNA EDUCACAO. Your research has to be compared to or analyzed against COGNA EDUCACAO's peers to derive any actionable benefits. When done correctly, COGNA EDUCACAO'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 COGNA EDUCACAO SPADR.

Other Forecasting Options for COGNA EDUCACAO

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

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

COGNA EDUCACAO SPADR 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 COGNA EDUCACAO's 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 COGNA EDUCACAO's current price.

COGNA EDUCACAO Market Strength Events

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

COGNA EDUCACAO Risk Indicators

The analysis of COGNA EDUCACAO'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 COGNA EDUCACAO's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cogna 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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Other Information on Investing in COGNA Stock

COGNA EDUCACAO financial ratios help investors to determine whether COGNA Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in COGNA with respect to the benefits of owning COGNA EDUCACAO security.