APAC Resources Pink Sheet Forecast - Polynomial Regression
| APPCFDelisted Stock | USD 0.11 0.00 0.00% |
The Polynomial Regression forecasted value of APAC Resources Limited on the next trading day is expected to be 0.11 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.06. APAC Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of APAC Resources' historical fundamentals, such as revenue growth or operating cash flow patterns.
APAC |
APAC Resources Polynomial Regression Price Forecast For the 28th of November
Given 90 days horizon, the Polynomial Regression forecasted value of APAC Resources Limited on the next trading day is expected to be 0.11 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000271, and the sum of the absolute errors of 0.06.Please note that although there have been many attempts to predict APAC 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 APAC Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
APAC Resources Pink Sheet Forecast Pattern
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APAC Resources Forecasted Value
In the context of forecasting APAC 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. APAC Resources' downside and upside margins for the forecasting period are 0 and 1.41, respectively. We have considered APAC 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of APAC Resources pink sheet data series using in forecasting. Note that when a statistical model is used to represent APAC 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.| AIC | Akaike Information Criteria | 105.2905 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.001 |
| MAPE | Mean absolute percentage error | 0.0096 |
| SAE | Sum of the absolute errors | 0.0616 |
Predictive Modules for APAC 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 APAC 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of APAC Resources' 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.
Other Forecasting Options for APAC Resources
For every potential investor in APAC, whether a beginner or expert, APAC Resources' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. APAC Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in APAC. Basic forecasting techniques help filter out the noise by identifying APAC Resources' price trends.APAC 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 APAC Resources pink sheet to make a market-neutral strategy. Peer analysis of APAC Resources could also be used in its relative valuation, which is a method of valuing APAC Resources by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
APAC 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 APAC 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 APAC Resources' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
APAC Resources Market Strength Events
Market strength indicators help investors to evaluate how APAC 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 APAC Resources shares will generate the highest return on investment. By undertsting and applying APAC Resources pink sheet market strength indicators, traders can identify APAC Resources Limited entry and exit signals to maximize returns.
APAC Resources Risk Indicators
The analysis of APAC 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 APAC Resources' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting apac 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 Deviation | 0.2984 | |||
| Standard Deviation | 1.23 | |||
| Variance | 1.52 |
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
Check out Historical Fundamental Analysis of APAC Resources to cross-verify your projections. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Other Consideration for investing in APAC Pink Sheet
If you are still planning to invest in APAC Resources 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 APAC Resources' history and understand the potential risks before investing.
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