Electrovaya OTC Stock Forecast - Naive Prediction

EFLVFDelisted Stock  USD 5.04  0.31  5.79%   
The Naive Prediction forecasted value of Electrovaya on the next trading day is expected to be 4.73 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.62. Electrovaya OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Electrovaya's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Electrovaya is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Electrovaya value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Electrovaya Naive Prediction Price Forecast For the 1st of December

Given 90 days horizon, the Naive Prediction forecasted value of Electrovaya on the next trading day is expected to be 4.73 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.62.
Please note that although there have been many attempts to predict Electrovaya OTC 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 Electrovaya's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Electrovaya OTC Stock Forecast Pattern

Backtest ElectrovayaElectrovaya Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Electrovaya otc stock data series using in forecasting. Note that when a statistical model is used to represent Electrovaya otc 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 Criteria114.9897
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1412
MAPEMean absolute percentage error0.0347
SAESum of the absolute errors8.6152
This model is not at all useful as a medium-long range forecasting tool of Electrovaya. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Electrovaya. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Electrovaya

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electrovaya. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Electrovaya's 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
5.045.045.04
Details
Intrinsic
Valuation
LowRealHigh
4.024.025.54
Details

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

Electrovaya Market Strength Events

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

Electrovaya Risk Indicators

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

Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any otc stock could be closely tied with the direction of predictive economic indicators such as signals in real.
You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.

Other Consideration for investing in Electrovaya OTC Stock

If you are still planning to invest in Electrovaya check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Electrovaya's history and understand the potential risks before investing.
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges