Giyani Metals Pink Sheet Forecast - Simple Moving Average

CATPF Stock  USD 0.07  0  2.14%   
The Simple Moving Average forecasted value of Giyani Metals Corp on the next trading day is expected to be 0.07 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.24. Giyani Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Giyani Metals' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Giyani Metals 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.

Giyani Metals Simple Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the Simple Moving Average forecasted value of Giyani Metals Corp on the next trading day is expected to be 0.07 with a mean absolute deviation of 0, mean absolute percentage error of 0.000053, and the sum of the absolute errors of 0.24.
Please note that although there have been many attempts to predict Giyani 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 Giyani Metals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Giyani Metals Pink Sheet Forecast Pattern

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Giyani Metals Forecasted Value

In the context of forecasting Giyani Metals' 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. Giyani Metals' downside and upside margins for the forecasting period are 0.0007 and 11.15, respectively. We have considered Giyani Metals' 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
0.07
0.0007
Downside
0.07
Expected Value
11.15
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 Giyani Metals pink sheet data series using in forecasting. Note that when a statistical model is used to represent Giyani Metals 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 Criteria106.4267
BiasArithmetic mean of the errors -3.0E-4
MADMean absolute deviation0.004
MAPEMean absolute percentage error0.0589
SAESum of the absolute errors0.2373
The simple moving average model is conceptually a linear regression of the current value of Giyani Metals Corp price series against current and previous (unobserved) value of Giyani Metals. 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 Giyani Metals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Giyani Metals Corp. 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.
Hype
Prediction
LowEstimatedHigh
0.000.0711.15
Details
Intrinsic
Valuation
LowRealHigh
0.000.0611.14
Details

Other Forecasting Options for Giyani Metals

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

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

Giyani Metals Corp 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 Giyani Metals' 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 Giyani Metals' current price.

Giyani Metals Market Strength Events

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

Giyani Metals Risk Indicators

The analysis of Giyani Metals' 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 Giyani Metals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting giyani 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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Other Information on Investing in Giyani Pink Sheet

Giyani Metals financial ratios help investors to determine whether Giyani Pink Sheet 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 Giyani with respect to the benefits of owning Giyani Metals security.