Bhakti Multi Stock Forecast - 20 Period Moving Average

BHAT Stock  IDR 450.00  2.00  0.45%   
The 20 Period Moving Average forecasted value of Bhakti Multi Artha on the next trading day is expected to be 453.40 with a mean absolute deviation of 19.79 and the sum of the absolute errors of 811.30. Bhakti Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Bhakti Multi Artha is based on a synthetically constructed Bhakti Multidaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Bhakti Multi 20 Period Moving Average Price Forecast For the 16th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of Bhakti Multi Artha on the next trading day is expected to be 453.40 with a mean absolute deviation of 19.79, mean absolute percentage error of 825.37, and the sum of the absolute errors of 811.30.
Please note that although there have been many attempts to predict Bhakti 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 Bhakti Multi's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bhakti Multi Stock Forecast Pattern

Backtest Bhakti MultiBhakti Multi Price PredictionBuy or Sell Advice 

Bhakti Multi Forecasted Value

In the context of forecasting Bhakti Multi'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. Bhakti Multi's downside and upside margins for the forecasting period are 452.08 and 454.72, respectively. We have considered Bhakti Multi'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
450.00
452.08
Downside
453.40
Expected Value
454.72
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Bhakti Multi stock data series using in forecasting. Note that when a statistical model is used to represent Bhakti Multi 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 Criteria88.0688
BiasArithmetic mean of the errors 18.5585
MADMean absolute deviation19.7878
MAPEMean absolute percentage error0.0432
SAESum of the absolute errors811.3
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. Bhakti Multi Artha 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Bhakti Multi

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bhakti Multi Artha. 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
448.68450.00451.32
Details
Intrinsic
Valuation
LowRealHigh
340.68342.00495.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
441.62454.20466.78
Details

Other Forecasting Options for Bhakti Multi

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

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

Bhakti Multi Artha 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 Bhakti Multi'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 Bhakti Multi's current price.

Bhakti Multi Market Strength Events

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

Bhakti Multi Risk Indicators

The analysis of Bhakti Multi'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 Bhakti Multi's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bhakti 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Bhakti Stock

Bhakti Multi financial ratios help investors to determine whether Bhakti 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 Bhakti with respect to the benefits of owning Bhakti Multi security.