True Public Stock Forecast - Polynomial Regression
TRUE Stock | THB 7.65 0.10 1.29% |
The Polynomial Regression forecasted value of True Public on the next trading day is expected to be 7.45 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.43. True Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast True Public stock prices and determine the direction of True Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of True Public's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of True Public to cross-verify your projections. True |
Most investors in True Public cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the True Public's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets True Public's price structures and extracts relationships that further increase the generated results' accuracy.
True Public polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for True Public as well as the accuracy indicators are determined from the period prices. True Public Polynomial Regression Price Forecast For the 29th of April
Given 90 days horizon, the Polynomial Regression forecasted value of True Public on the next trading day is expected to be 7.45 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.43.Please note that although there have been many attempts to predict True Stock 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 True Public's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
True Public Stock Forecast Pattern
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True Public Forecasted Value
In the context of forecasting True Public's Stock 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. True Public's downside and upside margins for the forecasting period are 5.27 and 9.63, respectively. We have considered True Public'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.
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 True Public stock data series using in forecasting. Note that when a statistical model is used to represent True Public stock, 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 | 114.6016 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.1382 |
MAPE | Mean absolute percentage error | 0.019 |
SAE | Sum of the absolute errors | 8.4311 |
Predictive Modules for True Public
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as True Public. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 True Public'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.
Other Forecasting Options for True Public
For every potential investor in True, whether a beginner or expert, True Public's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. True Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in True. Basic forecasting techniques help filter out the noise by identifying True Public's price trends.True Public 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 True Public stock to make a market-neutral strategy. Peer analysis of True Public could also be used in its relative valuation, which is a method of valuing True Public by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
True Public Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of True Public'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 True Public's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
True Public Market Strength Events
Market strength indicators help investors to evaluate how True Public stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading True Public shares will generate the highest return on investment. By undertsting and applying True Public stock market strength indicators, traders can identify True Public entry and exit signals to maximize returns.
True Public Risk Indicators
The analysis of True Public'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 True Public's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting true stock 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 | 1.67 | |||
Semi Deviation | 1.1 | |||
Standard Deviation | 2.26 | |||
Variance | 5.1 | |||
Downside Variance | 2.46 | |||
Semi Variance | 1.2 | |||
Expected Short fall | (2.38) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards True Public in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, True Public's short interest history, or implied volatility extrapolated from True Public options trading.
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Check out Historical Fundamental Analysis of True Public to cross-verify your projections. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Complementary Tools for True Stock analysis
When running True Public's price analysis, check to measure True Public's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy True Public is operating at the current time. Most of True Public's value examination focuses on studying past and present price action to predict the probability of True Public's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move True Public's price. Additionally, you may evaluate how the addition of True Public to your portfolios can decrease your overall portfolio volatility.
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