Juventus Football Pink Sheet Forecast - Polynomial Regression
| JVTSF Stock | USD 2.17 0.17 8.50% |
The Polynomial Regression forecasted value of Juventus Football Club on the next trading day is expected to be 2.27 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.63. Juventus Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Juventus Football's historical fundamentals, such as revenue growth or operating cash flow patterns.
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Most investors in Juventus Football 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 Juventus Football's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Juventus Football's price structures and extracts relationships that further increase the generated results' accuracy.
Juventus Football polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Juventus Football Club as well as the accuracy indicators are determined from the period prices. Juventus Football Polynomial Regression Price Forecast For the 11th of June 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Juventus Football Club on the next trading day is expected to be 2.27 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.04, and the sum of the absolute errors of 10.63.Please note that although there have been many attempts to predict Juventus 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 Juventus Football's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Juventus Football Pink Sheet Forecast Pattern
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Juventus Football Forecasted Value
In the context of forecasting Juventus Football's Pink Sheet 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. Juventus Football's downside and upside margins for the forecasting period are 0.02 and 9.31, respectively. We have considered Juventus Football'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 Juventus Football pink sheet data series using in forecasting. Note that when a statistical model is used to represent Juventus Football 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 | 114.938 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1743 |
| MAPE | Mean absolute percentage error | 0.0887 |
| SAE | Sum of the absolute errors | 10.6327 |
Predictive Modules for Juventus Football
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Juventus Football Club. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Juventus Football'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 Juventus Football
For every potential investor in Juventus, whether a beginner or expert, Juventus Football's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Juventus Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Juventus. Basic forecasting techniques help filter out the noise by identifying Juventus Football's price trends.View Juventus Football Related Equities
| Risk & Return | Correlation |
Juventus Football Club Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Juventus Football'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 Juventus Football's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Juventus Football Market Strength Events
Market strength indicators help investors to evaluate how Juventus Football 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 Juventus Football shares will generate the highest return on investment. By undertsting and applying Juventus Football pink sheet market strength indicators, traders can identify Juventus Football Club entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.09 | |||
| Day Median Price | 2.17 | |||
| Day Typical Price | 2.17 | |||
| Price Action Indicator | 0.085 | |||
| Period Momentum Indicator | 0.17 | |||
| Relative Strength Index | 52.81 |
Juventus Football Risk Indicators
The analysis of Juventus Football'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 Juventus Football's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting juventus pink sheet 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 | 3.08 | |||
| Standard Deviation | 7.04 | |||
| Variance | 49.57 |
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.
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Other Information on Investing in Juventus Pink Sheet
Juventus Football financial ratios help investors to determine whether Juventus Pink Sheet 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 Juventus with respect to the benefits of owning Juventus Football security.