General Steel Pink Sheet Forecast - Naive Prediction

GSIH Stock  USD 0.0003  0.0001  50.00%   
The Naive Prediction forecasted value of General Steel Holdings on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.45. General Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of General Steel's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for General Steel is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of General Steel Holdings 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.

General Steel Naive Prediction Price Forecast For the 29th of December

Given 90 days horizon, the Naive Prediction forecasted value of General Steel Holdings on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.45.
Please note that although there have been many attempts to predict General 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 General Steel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

General Steel Pink Sheet Forecast Pattern

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General Steel Forecasted Value

In the context of forecasting General Steel'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. General Steel's downside and upside margins for the forecasting period are 0.000003 and 124.92, respectively. We have considered General Steel'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
0.0003
0.000003
Downside
0.01
Expected Value
124.92
Upside

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 General Steel pink sheet data series using in forecasting. Note that when a statistical model is used to represent General Steel 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 Criteria109.9763
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0074
MAPEMean absolute percentage error21.5495
SAESum of the absolute errors0.4493
This model is not at all useful as a medium-long range forecasting tool of General Steel Holdings. 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 General Steel. 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 General Steel

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as General Steel Holdings. 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
0.000.000350.02
Details
Intrinsic
Valuation
LowRealHigh
0.000.0150.03
Details

Other Forecasting Options for General Steel

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

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

General Steel Holdings 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 General Steel'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 General Steel's current price.

General Steel Market Strength Events

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

General Steel Risk Indicators

The analysis of General Steel'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 General Steel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting general 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.
Mean Deviation1489.23
Standard Deviation6142.38
Variance3.772877387E7
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

Other Information on Investing in General Pink Sheet

General Steel financial ratios help investors to determine whether General 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 General with respect to the benefits of owning General Steel security.