Electronic Systems Pink Sheet Forecast - 20 Period Moving Average

ELST Stock  USD 0.21  0.00  0.00%   
The 20 Period Moving Average forecasted value of Electronic Systems Technology on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.25. Electronic Pink Sheet Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Electronic Systems Technology is based on a synthetically constructed Electronic Systemsdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Electronic Systems 20 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Electronic Systems Technology on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.00007, and the sum of the absolute errors of 0.25.
Please note that although there have been many attempts to predict Electronic Pink Sheet 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 Electronic Systems' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Electronic Systems Pink Sheet Forecast Pattern

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Electronic Systems Forecasted Value

In the context of forecasting Electronic Systems' Pink Sheet 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. Electronic Systems' downside and upside margins for the forecasting period are 0 and 3.95, respectively. We have considered Electronic Systems' 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
0.21
0.21
Expected Value
3.95
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Electronic Systems pink sheet data series using in forecasting. Note that when a statistical model is used to represent Electronic Systems pink sheet, 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 Criteria71.781
BiasArithmetic mean of the errors 4.0E-4
MADMean absolute deviation0.0061
MAPEMean absolute percentage error0.0284
SAESum of the absolute errors0.2515
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. Electronic Systems 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Electronic Systems

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electronic Systems. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Electronic Systems' 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
0.010.213.95
Details
Intrinsic
Valuation
LowRealHigh
0.010.183.92
Details

Other Forecasting Options for Electronic Systems

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

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 Risk & Return  Correlation

Electronic Systems Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Electronic Systems' 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 Electronic Systems' current price.

Electronic Systems Market Strength Events

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

Electronic Systems Risk Indicators

The analysis of Electronic Systems' 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 Electronic Systems' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting electronic pink sheet 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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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Electronic Pink Sheet Analysis

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