Wilmar Cahaya Stock Forecast - Naive Prediction
CEKA Stock | IDR 2,050 20.00 0.99% |
The Naive Prediction forecasted value of Wilmar Cahaya Indonesia on the next trading day is expected to be 2,064 with a mean absolute deviation of 19.64 and the sum of the absolute errors of 1,198. Wilmar Stock Forecast is based on your current time horizon.
Wilmar |
Wilmar Cahaya Naive Prediction Price Forecast For the 18th of December 2024
Given 90 days horizon, the Naive Prediction forecasted value of Wilmar Cahaya Indonesia on the next trading day is expected to be 2,064 with a mean absolute deviation of 19.64, mean absolute percentage error of 578.91, and the sum of the absolute errors of 1,198.Please note that although there have been many attempts to predict Wilmar 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 Wilmar Cahaya's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Wilmar Cahaya Stock Forecast Pattern
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Wilmar Cahaya Forecasted Value
In the context of forecasting Wilmar Cahaya'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. Wilmar Cahaya's downside and upside margins for the forecasting period are 2,062 and 2,065, respectively. We have considered Wilmar Cahaya'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Wilmar Cahaya stock data series using in forecasting. Note that when a statistical model is used to represent Wilmar Cahaya 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 | 124.4717 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 19.6399 |
MAPE | Mean absolute percentage error | 0.0093 |
SAE | Sum of the absolute errors | 1198.0356 |
Predictive Modules for Wilmar Cahaya
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wilmar Cahaya Indonesia. 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 Wilmar Cahaya
For every potential investor in Wilmar, whether a beginner or expert, Wilmar Cahaya's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Wilmar Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Wilmar. Basic forecasting techniques help filter out the noise by identifying Wilmar Cahaya's price trends.Wilmar Cahaya 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 Wilmar Cahaya stock to make a market-neutral strategy. Peer analysis of Wilmar Cahaya could also be used in its relative valuation, which is a method of valuing Wilmar Cahaya by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Wilmar Cahaya Indonesia 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 Wilmar Cahaya'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 Wilmar Cahaya's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Wilmar Cahaya Market Strength Events
Market strength indicators help investors to evaluate how Wilmar Cahaya stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Wilmar Cahaya shares will generate the highest return on investment. By undertsting and applying Wilmar Cahaya stock market strength indicators, traders can identify Wilmar Cahaya Indonesia entry and exit signals to maximize returns.
Accumulation Distribution | 4110.48 | |||
Daily Balance Of Power | 0.25 | |||
Rate Of Daily Change | 1.01 | |||
Day Median Price | 2060.0 | |||
Day Typical Price | 2056.67 | |||
Market Facilitation Index | 7.0E-4 | |||
Period Momentum Indicator | 20.0 |
Wilmar Cahaya Risk Indicators
The analysis of Wilmar Cahaya'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 Wilmar Cahaya's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wilmar 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 | 0.9138 | |||
Standard Deviation | 1.26 | |||
Variance | 1.58 |
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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Wilmar Cahaya financial ratios help investors to determine whether Wilmar 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 Wilmar with respect to the benefits of owning Wilmar Cahaya security.