ENF Technology Stock Forecast - Simple Moving Average

102710 Stock   16,510  850.00  4.90%   
The Simple Moving Average forecasted value of ENF Technology Co on the next trading day is expected to be 16,935 with a mean absolute deviation of 512.37 and the sum of the absolute errors of 30,230. ENF Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ENF Technology stock prices and determine the direction of ENF Technology Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ENF Technology's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for ENF Technology 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.

ENF Technology Simple Moving Average Price Forecast For the 21st of December

Given 90 days horizon, the Simple Moving Average forecasted value of ENF Technology Co on the next trading day is expected to be 16,935 with a mean absolute deviation of 512.37, mean absolute percentage error of 399,798, and the sum of the absolute errors of 30,230.
Please note that although there have been many attempts to predict ENF 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 ENF Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ENF Technology Stock Forecast Pattern

Backtest ENF TechnologyENF Technology Price PredictionBuy or Sell Advice 

ENF Technology Forecasted Value

In the context of forecasting ENF Technology'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. ENF Technology's downside and upside margins for the forecasting period are 16,932 and 16,938, respectively. We have considered ENF Technology'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
16,510
16,932
Downside
16,935
Expected Value
16,938
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 ENF Technology stock data series using in forecasting. Note that when a statistical model is used to represent ENF Technology 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 Criteria127.3335
BiasArithmetic mean of the errors 150.1695
MADMean absolute deviation512.3729
MAPEMean absolute percentage error0.0296
SAESum of the absolute errors30230.0
The simple moving average model is conceptually a linear regression of the current value of ENF Technology Co price series against current and previous (unobserved) value of ENF Technology. 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 ENF Technology

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ENF Technology. 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
17,35717,36017,363
Details
Intrinsic
Valuation
LowRealHigh
15,62418,09818,101
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14,58216,30218,022
Details

Other Forecasting Options for ENF Technology

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

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

ENF Technology 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 ENF Technology'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 ENF Technology's current price.

ENF Technology Market Strength Events

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

ENF Technology Risk Indicators

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

Pair Trading with ENF Technology

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if ENF Technology position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ENF Technology will appreciate offsetting losses from the drop in the long position's value.

Moving together with ENF Stock

  0.65051910 LG ChemicalsPairCorr
  0.76005490 POSCO HoldingsPairCorr
  0.84009830 Hanwha SolutionsPairCorr
  0.62004020 Hyundai SteelPairCorr

Moving against ENF Stock

  0.43001430 SeAH BesteePairCorr
The ability to find closely correlated positions to ENF Technology could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ENF Technology when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back ENF Technology - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling ENF Technology Co to buy it.
The correlation of ENF Technology is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ENF Technology moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ENF Technology moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for ENF Technology can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in ENF Stock

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