DALATA HOTEL Stock Forecast - Simple Moving Average

DHG Stock   4.14  0.02  0.48%   
The Simple Moving Average forecasted value of DALATA HOTEL on the next trading day is expected to be 4.14 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.02. DALATA Stock Forecast is based on your current time horizon.
  
A two period moving average forecast for DALATA HOTEL is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

DALATA HOTEL Simple Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the Simple Moving Average forecasted value of DALATA HOTEL on the next trading day is expected to be 4.14 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.03, and the sum of the absolute errors of 6.02.
Please note that although there have been many attempts to predict DALATA 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 DALATA HOTEL's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DALATA HOTEL Stock Forecast Pattern

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DALATA HOTEL Forecasted Value

In the context of forecasting DALATA HOTEL'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. DALATA HOTEL's downside and upside margins for the forecasting period are 0.04 and 8.33, respectively. We have considered DALATA HOTEL'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
4.14
4.14
Expected Value
8.33
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of DALATA HOTEL stock data series using in forecasting. Note that when a statistical model is used to represent DALATA HOTEL 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 Criteria110.8334
BiasArithmetic mean of the errors -0.0036
MADMean absolute deviation0.1019
MAPEMean absolute percentage error0.026
SAESum of the absolute errors6.015
The simple moving average model is conceptually a linear regression of the current value of DALATA HOTEL price series against current and previous (unobserved) value of DALATA HOTEL. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for DALATA HOTEL

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DALATA HOTEL. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DALATA HOTEL's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.214.148.33
Details
Intrinsic
Valuation
LowRealHigh
0.173.427.61
Details

Other Forecasting Options for DALATA HOTEL

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

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

DALATA HOTEL 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 DALATA HOTEL'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 DALATA HOTEL's current price.

DALATA HOTEL Market Strength Events

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

DALATA HOTEL Risk Indicators

The analysis of DALATA HOTEL'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 DALATA HOTEL's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dalata 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.

Thematic Opportunities

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Additional Tools for DALATA Stock Analysis

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