Thungela Resources Pink Sheet Forecast - Double Exponential Smoothing

TNGRF Stock  USD 7.28  0.22  2.93%   
The Double Exponential Smoothing forecasted value of Thungela Resources Limited on the next trading day is expected to be 7.25 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.24. Thungela Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Thungela Resources' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Thungela Resources works best with periods where there are trends or seasonality.

Thungela Resources Double Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Thungela Resources Limited on the next trading day is expected to be 7.25 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.06, and the sum of the absolute errors of 10.24.
Please note that although there have been many attempts to predict Thungela 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 Thungela Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Thungela Resources Pink Sheet Forecast Pattern

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Thungela Resources Forecasted Value

In the context of forecasting Thungela Resources' 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. Thungela Resources' downside and upside margins for the forecasting period are 4.11 and 10.40, respectively. We have considered Thungela Resources' 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
7.28
7.25
Expected Value
10.40
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Thungela Resources pink sheet data series using in forecasting. Note that when a statistical model is used to represent Thungela Resources 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0286
MADMean absolute deviation0.1736
MAPEMean absolute percentage error0.0261
SAESum of the absolute errors10.2419
When Thungela Resources Limited prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Thungela Resources Limited trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Thungela Resources observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Thungela Resources

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Thungela Resources. 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
4.137.2810.43
Details
Intrinsic
Valuation
LowRealHigh
2.735.889.03
Details

Other Forecasting Options for Thungela Resources

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

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

Thungela Resources 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 Thungela Resources' 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 Thungela Resources' current price.

Thungela Resources Market Strength Events

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

Thungela Resources Risk Indicators

The analysis of Thungela Resources' 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 Thungela Resources' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting thungela 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 Thungela Pink Sheet

Thungela Resources financial ratios help investors to determine whether Thungela 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 Thungela with respect to the benefits of owning Thungela Resources security.