Sports Gear Stock Forecast - Polynomial Regression

6768 Stock  TWD 138.50  1.00  0.72%   
The Polynomial Regression forecasted value of Sports Gear Co on the next trading day is expected to be 146.30 with a mean absolute deviation of 5.53 and the sum of the absolute errors of 337.19. Sports Stock Forecast is based on your current time horizon.
  
Sports Gear polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sports Gear Co as well as the accuracy indicators are determined from the period prices.

Sports Gear Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Sports Gear Co on the next trading day is expected to be 146.30 with a mean absolute deviation of 5.53, mean absolute percentage error of 41.54, and the sum of the absolute errors of 337.19.
Please note that although there have been many attempts to predict Sports 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 Sports Gear's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sports Gear Stock Forecast Pattern

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Sports Gear Forecasted Value

In the context of forecasting Sports Gear'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. Sports Gear's downside and upside margins for the forecasting period are 142.72 and 149.87, respectively. We have considered Sports Gear'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
138.50
142.72
Downside
146.30
Expected Value
149.87
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 Sports Gear stock data series using in forecasting. Note that when a statistical model is used to represent Sports Gear 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 Criteria121.8372
BiasArithmetic mean of the errors None
MADMean absolute deviation5.5277
MAPEMean absolute percentage error0.0472
SAESum of the absolute errors337.1922
A single variable polynomial regression model attempts to put a curve through the Sports Gear 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 Sports Gear

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sports Gear. 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
134.92138.50142.08
Details
Intrinsic
Valuation
LowRealHigh
121.07124.65152.35
Details
Bollinger
Band Projection (param)
LowMiddleHigh
124.66141.67158.67
Details

Other Forecasting Options for Sports Gear

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

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

Sports Gear 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 Sports Gear'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 Sports Gear's current price.

Sports Gear Market Strength Events

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

Sports Gear Risk Indicators

The analysis of Sports Gear'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 Sports Gear's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sports 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.

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.

Additional Tools for Sports Stock Analysis

When running Sports Gear's price analysis, check to measure Sports Gear'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 Sports Gear is operating at the current time. Most of Sports Gear's value examination focuses on studying past and present price action to predict the probability of Sports Gear's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sports Gear's price. Additionally, you may evaluate how the addition of Sports Gear to your portfolios can decrease your overall portfolio volatility.