Sempra Stock Forecast - 8 Period Moving Average

SE4 Stock  EUR 83.22  0.96  1.17%   
The 8 Period Moving Average forecasted value of Sempra on the next trading day is expected to be 83.46 with a mean absolute deviation of 2.24 and the sum of the absolute errors of 118.47. Sempra Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Sempra's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for Sempra is based on an artificially constructed time series of Sempra daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Sempra 8 Period Moving Average Price Forecast For the 25th of December

Given 90 days horizon, the 8 Period Moving Average forecasted value of Sempra on the next trading day is expected to be 83.46 with a mean absolute deviation of 2.24, mean absolute percentage error of 8.57, and the sum of the absolute errors of 118.47.
Please note that although there have been many attempts to predict Sempra 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 Sempra's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sempra Stock Forecast Pattern

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Sempra Forecasted Value

In the context of forecasting Sempra'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. Sempra's downside and upside margins for the forecasting period are 81.85 and 85.08, respectively. We have considered Sempra'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
83.22
83.46
Expected Value
85.08
Upside

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 Sempra stock data series using in forecasting. Note that when a statistical model is used to represent Sempra 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 Criteria105.5558
BiasArithmetic mean of the errors -0.7847
MADMean absolute deviation2.2354
MAPEMean absolute percentage error0.0271
SAESum of the absolute errors118.4738
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. Sempra 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Sempra

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sempra. 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
81.6083.2284.84
Details
Intrinsic
Valuation
LowRealHigh
74.9097.5699.18
Details

Other Forecasting Options for Sempra

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

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

Sempra 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 Sempra'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 Sempra's current price.

Sempra Market Strength Events

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

Sempra Risk Indicators

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

Currently Active Assets on Macroaxis

Other Information on Investing in Sempra Stock

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