Companhia Paranaense Stock Forecast - 8 Period Moving Average
| ELPA Stock | EUR 1.45 0.27 22.88% |
The 8 Period Moving Average forecasted value of Companhia Paranaense de on the next trading day is expected to be 1.25 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.41. Companhia Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Companhia Paranaense's historical fundamentals, such as revenue growth or operating cash flow patterns.
Companhia |
Companhia Paranaense 8 Period Moving Average Price Forecast For the 15th of December 2024
Given 90 days horizon, the 8 Period Moving Average forecasted value of Companhia Paranaense de on the next trading day is expected to be 1.25 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.41.Please note that although there have been many attempts to predict Companhia 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 Companhia Paranaense's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Companhia Paranaense Stock Forecast Pattern
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Companhia Paranaense Forecasted Value
In the context of forecasting Companhia Paranaense'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. Companhia Paranaense's downside and upside margins for the forecasting period are 0.01 and 5.79, respectively. We have considered Companhia Paranaense'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.
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 Companhia Paranaense stock data series using in forecasting. Note that when a statistical model is used to represent Companhia Paranaense 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.| AIC | Akaike Information Criteria | 97.9636 |
| Bias | Arithmetic mean of the errors | 1.0E-4 |
| MAD | Mean absolute deviation | 0.0454 |
| MAPE | Mean absolute percentage error | 0.0347 |
| SAE | Sum of the absolute errors | 2.4075 |
Predictive Modules for Companhia Paranaense
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Companhia Paranaense. 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.Other Forecasting Options for Companhia Paranaense
For every potential investor in Companhia, whether a beginner or expert, Companhia Paranaense's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Companhia Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Companhia. Basic forecasting techniques help filter out the noise by identifying Companhia Paranaense's price trends.Companhia Paranaense 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 Companhia Paranaense stock to make a market-neutral strategy. Peer analysis of Companhia Paranaense could also be used in its relative valuation, which is a method of valuing Companhia Paranaense by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Companhia Paranaense 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 Companhia Paranaense'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 Companhia Paranaense's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Companhia Paranaense Market Strength Events
Market strength indicators help investors to evaluate how Companhia Paranaense stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Companhia Paranaense shares will generate the highest return on investment. By undertsting and applying Companhia Paranaense stock market strength indicators, traders can identify Companhia Paranaense de entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.23 | |||
| Day Median Price | 1.45 | |||
| Day Typical Price | 1.45 | |||
| Price Action Indicator | 0.14 | |||
| Period Momentum Indicator | 0.27 |
Companhia Paranaense Risk Indicators
The analysis of Companhia Paranaense'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 Companhia Paranaense's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting companhia 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.
| Mean Deviation | 2.74 | |||
| Semi Deviation | 2.96 | |||
| Standard Deviation | 4.65 | |||
| Variance | 21.66 | |||
| Downside Variance | 16.96 | |||
| Semi Variance | 8.75 | |||
| Expected Short fall | (4.43) |
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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Additional Information and Resources on Investing in Companhia Stock
When determining whether Companhia Paranaense offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Companhia Paranaense's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Companhia Paranaense De Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Companhia Paranaense De Stock:Check out Historical Fundamental Analysis of Companhia Paranaense to cross-verify your projections. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.