Sao Ta Stock Forecast - Polynomial Regression

FMC Stock   48,100  200.00  0.41%   
The Polynomial Regression forecasted value of Sao Ta Foods on the next trading day is expected to be 49,985 with a mean absolute deviation of 500.09 and the sum of the absolute errors of 30,505. Sao Stock Forecast is based on your current time horizon.
  
Sao Ta polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sao Ta Foods as well as the accuracy indicators are determined from the period prices.

Sao Ta Polynomial Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Sao Ta Foods on the next trading day is expected to be 49,985 with a mean absolute deviation of 500.09, mean absolute percentage error of 393,150, and the sum of the absolute errors of 30,505.
Please note that although there have been many attempts to predict Sao 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 Sao Ta's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sao Ta Stock Forecast Pattern

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Sao Ta Forecasted Value

In the context of forecasting Sao Ta'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. Sao Ta's downside and upside margins for the forecasting period are 49,984 and 49,986, respectively. We have considered Sao Ta'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
48,100
49,984
Downside
49,985
Expected Value
49,986
Upside

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 Sao Ta stock data series using in forecasting. Note that when a statistical model is used to represent Sao Ta 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.
AICAkaike Information Criteria130.9924
BiasArithmetic mean of the errors None
MADMean absolute deviation500.0875
MAPEMean absolute percentage error0.0106
SAESum of the absolute errors30505.3349
A single variable polynomial regression model attempts to put a curve through the Sao Ta historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Sao Ta

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sao Ta Foods. 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.
Hype
Prediction
LowEstimatedHigh
48,29948,30048,301
Details
Intrinsic
Valuation
LowRealHigh
47,72447,72553,130
Details
Bollinger
Band Projection (param)
LowMiddleHigh
44,81446,82248,830
Details

Other Forecasting Options for Sao Ta

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

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

Sao Ta Foods 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 Sao Ta'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 Sao Ta's current price.

Sao Ta Market Strength Events

Market strength indicators help investors to evaluate how Sao Ta stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sao Ta shares will generate the highest return on investment. By undertsting and applying Sao Ta stock market strength indicators, traders can identify Sao Ta Foods entry and exit signals to maximize returns.

Sao Ta Risk Indicators

The analysis of Sao Ta'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 Sao Ta's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sao 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.
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.

Pair Trading with Sao Ta

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Sao Ta position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Sao Ta will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Sao Ta could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sao Ta when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Sao Ta - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Sao Ta Foods to buy it.
The correlation of Sao Ta is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Sao Ta moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sao Ta Foods moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Sao Ta can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Sao Stock

Sao Ta financial ratios help investors to determine whether Sao Stock 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 Sao with respect to the benefits of owning Sao Ta security.