Thai Oil Pink Sheet Forecast - Polynomial Regression
| TOIPFDelisted Stock | USD 1.44 0.00 0.00% |
The Polynomial Regression forecasted value of Thai Oil Public on the next trading day is expected to be 1.44 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Thai Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Thai Oil's historical fundamentals, such as revenue growth or operating cash flow patterns.
Thai |
Thai Oil Polynomial Regression Price Forecast For the 21st of December
Given 90 days horizon, the Polynomial Regression forecasted value of Thai Oil Public on the next trading day is expected to be 1.44 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Thai 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 Thai Oil's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Thai Oil Pink Sheet Forecast Pattern
| Backtest Thai Oil | Thai Oil Price Prediction | Buy or Sell Advice |
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 Thai Oil pink sheet data series using in forecasting. Note that when a statistical model is used to represent Thai Oil 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 | 53.4303 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Thai Oil
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Thai Oil Public. 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.Thai Oil 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 Thai Oil pink sheet to make a market-neutral strategy. Peer analysis of Thai Oil could also be used in its relative valuation, which is a method of valuing Thai Oil by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Thai Oil Market Strength Events
Market strength indicators help investors to evaluate how Thai Oil 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 Thai Oil shares will generate the highest return on investment. By undertsting and applying Thai Oil pink sheet market strength indicators, traders can identify Thai Oil Public entry and exit signals to maximize returns.
Currently Active Assets on Macroaxis
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Other Consideration for investing in Thai Pink Sheet
If you are still planning to invest in Thai Oil Public 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 Thai Oil's history and understand the potential risks before investing.
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios |