E2E Networks Stock Forecast - Simple Moving Average
| E2E Stock | 4,301 104.65 2.49% |
The Simple Moving Average forecasted value of E2E Networks Limited on the next trading day is expected to be 4,249 with a mean absolute deviation of 159.50 and the sum of the absolute errors of 9,410. E2E Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast E2E Networks stock prices and determine the direction of E2E Networks Limited's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of E2E Networks' historical fundamentals, such as revenue growth or operating cash flow patterns.
E2E |
E2E Networks Simple Moving Average Price Forecast For the 9th of January
Given 90 days horizon, the Simple Moving Average forecasted value of E2E Networks Limited on the next trading day is expected to be 4,249 with a mean absolute deviation of 159.50, mean absolute percentage error of 38,281, and the sum of the absolute errors of 9,410.Please note that although there have been many attempts to predict E2E 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 E2E Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
E2E Networks Stock Forecast Pattern
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E2E Networks Forecasted Value
In the context of forecasting E2E Networks' 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. E2E Networks' downside and upside margins for the forecasting period are 4,245 and 4,253, respectively. We have considered E2E Networks' 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.
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 E2E Networks stock data series using in forecasting. Note that when a statistical model is used to represent E2E Networks 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.| AIC | Akaike Information Criteria | 124.9874 |
| Bias | Arithmetic mean of the errors | -24.7894 |
| MAD | Mean absolute deviation | 159.4996 |
| MAPE | Mean absolute percentage error | 0.0374 |
| SAE | Sum of the absolute errors | 9410.475 |
Predictive Modules for E2E Networks
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as E2E Networks Limited. 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.Other Forecasting Options for E2E Networks
For every potential investor in E2E, whether a beginner or expert, E2E Networks' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. E2E Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in E2E. Basic forecasting techniques help filter out the noise by identifying E2E Networks' price trends.E2E Networks 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 E2E Networks stock to make a market-neutral strategy. Peer analysis of E2E Networks could also be used in its relative valuation, which is a method of valuing E2E Networks by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
E2E Networks Limited 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 E2E Networks' 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 E2E Networks' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
E2E Networks Market Strength Events
Market strength indicators help investors to evaluate how E2E Networks stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading E2E Networks shares will generate the highest return on investment. By undertsting and applying E2E Networks stock market strength indicators, traders can identify E2E Networks Limited entry and exit signals to maximize returns.
| Accumulation Distribution | 1869.8 | |||
| Daily Balance Of Power | 0.4098 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 4182.33 | |||
| Day Typical Price | 4221.98 | |||
| Market Facilitation Index | 0.0081 | |||
| Price Action Indicator | 171.3 | |||
| Period Momentum Indicator | 104.65 |
E2E Networks Risk Indicators
The analysis of E2E Networks' 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 E2E Networks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting e2e 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.
| Mean Deviation | 3.19 | |||
| Semi Deviation | 2.85 | |||
| Standard Deviation | 3.78 | |||
| Variance | 14.28 | |||
| Downside Variance | 10.21 | |||
| Semi Variance | 8.11 | |||
| Expected Short fall | (3.98) |
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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin |
Other Information on Investing in E2E Stock
E2E Networks financial ratios help investors to determine whether E2E 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 E2E with respect to the benefits of owning E2E Networks security.