SPTSX Equal Index Forecast - Polynomial Regression

TXBE Index   210.31  6.09  2.98%   
The Polynomial Regression forecasted value of SPTSX Equal Weight on the next trading day is expected to be 213.41 with a mean absolute deviation of 6.29 and the sum of the absolute errors of 383.92. Investors can use prediction functions to forecast SPTSX Equal's index prices and determine the direction of SPTSX Equal Weight's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
SPTSX Equal polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SPTSX Equal Weight as well as the accuracy indicators are determined from the period prices.

SPTSX Equal Polynomial Regression Price Forecast For the 13th of September 2024

Given 90 days horizon, the Polynomial Regression forecasted value of SPTSX Equal Weight on the next trading day is expected to be 213.41 with a mean absolute deviation of 6.29, mean absolute percentage error of 63.87, and the sum of the absolute errors of 383.92.
Please note that although there have been many attempts to predict SPTSX Index 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 SPTSX Equal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SPTSX Equal Index Forecast Pattern

SPTSX Equal Forecasted Value

In the context of forecasting SPTSX Equal's Index 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. SPTSX Equal's downside and upside margins for the forecasting period are 211.43 and 215.39, respectively. We have considered SPTSX Equal'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
210.31
211.43
Downside
213.41
Expected Value
215.39
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 SPTSX Equal index data series using in forecasting. Note that when a statistical model is used to represent SPTSX Equal index, 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 Criteria122.2674
BiasArithmetic mean of the errors None
MADMean absolute deviation6.2938
MAPEMean absolute percentage error0.0278
SAESum of the absolute errors383.9203
A single variable polynomial regression model attempts to put a curve through the SPTSX Equal 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 SPTSX Equal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SPTSX Equal Weight. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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 SPTSX Equal'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 SPTSX Equal

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

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

SPTSX Equal Weight Technical and Predictive Analytics

The index market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SPTSX Equal'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 SPTSX Equal's current price.

SPTSX Equal Market Strength Events

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

SPTSX Equal Risk Indicators

The analysis of SPTSX Equal'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 SPTSX Equal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sptsx index 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.