Lotus Retail Stock Forecast - Double Exponential Smoothing

LPF Stock  THB 12.70  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Lotus Retail Growth on the next trading day is expected to be 12.68 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.92. Lotus Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Lotus Retail works best with periods where there are trends or seasonality.

Lotus Retail Double Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Lotus Retail Growth on the next trading day is expected to be 12.68 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.03, and the sum of the absolute errors of 7.92.
Please note that although there have been many attempts to predict Lotus 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 Lotus Retail's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lotus Retail Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Lotus Retail stock data series using in forecasting. Note that when a statistical model is used to represent Lotus Retail 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0228
MADMean absolute deviation0.1342
MAPEMean absolute percentage error0.0102
SAESum of the absolute errors7.9205
When Lotus Retail Growth prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Lotus Retail Growth trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Lotus Retail observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Lotus Retail

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lotus Retail Growth. 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
11.5112.7013.89
Details
Intrinsic
Valuation
LowRealHigh
9.6610.8513.97
Details

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

Lotus Retail Market Strength Events

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

Lotus Retail Risk Indicators

The analysis of Lotus Retail'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 Lotus Retail's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lotus 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 Lotus Stock

Lotus Retail financial ratios help investors to determine whether Lotus 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 Lotus with respect to the benefits of owning Lotus Retail security.