Sparta Capital Pink Sheet Forecast - 20 Period Moving Average

SCAXF Stock  USD 0.01  0  23.47%   
The 20 Period Moving Average forecasted value of Sparta Capital on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.0007 and the sum of the absolute errors of 0.03. Sparta Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Sparta Capital's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Sparta Capital is based on a synthetically constructed Sparta Capitaldaily 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.

Sparta Capital 20 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Sparta Capital on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.0007, mean absolute percentage error of 0.00000265, and the sum of the absolute errors of 0.03.
Please note that although there have been many attempts to predict Sparta 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 Sparta Capital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sparta Capital Pink Sheet Forecast Pattern

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Sparta Capital Forecasted Value

In the context of forecasting Sparta Capital's 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. Sparta Capital's downside and upside margins for the forecasting period are 0.0001 and 2.97, respectively. We have considered Sparta Capital's 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
0.01
0.0001
Downside
0.02
Expected Value
2.97
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 Sparta Capital pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sparta Capital 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 Criteria68.5106
BiasArithmetic mean of the errors 7.0E-4
MADMean absolute deviation7.0E-4
MAPEMean absolute percentage error0.0445
SAESum of the absolute errors0.0274
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. Sparta Capital 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Sparta Capital

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sparta Capital. 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 Sparta Capital'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
0.000.022.98
Details
Intrinsic
Valuation
LowRealHigh
0.000.012.97
Details

Other Forecasting Options for Sparta Capital

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

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

Sparta Capital 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 Sparta Capital's 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 Sparta Capital's current price.

Sparta Capital Market Strength Events

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

Sparta Capital Risk Indicators

The analysis of Sparta Capital'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 Sparta Capital's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sparta 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 Sparta Pink Sheet

Sparta Capital financial ratios help investors to determine whether Sparta 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 Sparta with respect to the benefits of owning Sparta Capital security.