IMine Pink Sheet Forecast - 4 Period Moving Average

JRVSDelisted Stock  USD 1.20  0.00  0.00%   
The 4 Period Moving Average forecasted value of IMine on the next trading day is expected to be 1.20 with a mean absolute deviation of  0.01  and the sum of the absolute errors of 0.55. IMine Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast IMine stock prices and determine the direction of IMine's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of IMine's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in real.
  
Most investors in IMine cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the IMine's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets IMine's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for IMine is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

IMine 4 Period Moving Average Price Forecast For the 6th of May

Given 90 days horizon, the 4 Period Moving Average forecasted value of IMine on the next trading day is expected to be 1.20 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0008, and the sum of the absolute errors of 0.55.
Please note that although there have been many attempts to predict IMine 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 IMine's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IMine Pink Sheet Forecast Pattern

Backtest IMineIMine Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of IMine pink sheet data series using in forecasting. Note that when a statistical model is used to represent IMine 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 Criteria103.682
BiasArithmetic mean of the errors 0.0066
MADMean absolute deviation0.0096
MAPEMean absolute percentage error0.008
SAESum of the absolute errors0.55
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of IMine. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for IMine and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for IMine

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IMine. 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 IMine'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
1.201.201.20
Details
Intrinsic
Valuation
LowRealHigh
1.051.051.32
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as IMine. Your research has to be compared to or analyzed against IMine's peers to derive any actionable benefits. When done correctly, IMine's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in IMine.

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

IMine Market Strength Events

Market strength indicators help investors to evaluate how IMine 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 IMine shares will generate the highest return on investment. By undertsting and applying IMine pink sheet market strength indicators, traders can identify IMine entry and exit signals to maximize returns.

IMine Risk Indicators

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

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Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in real.
You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.

Other Consideration for investing in IMine Pink Sheet

If you are still planning to invest in IMine 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 IMine's history and understand the potential risks before investing.
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