Gusbourne PLC Pink Sheet Forecast - Polynomial Regression
| SLLFF Stock | USD 0.81 0.00 0.00% |
The Polynomial Regression forecasted value of Gusbourne PLC on the next trading day is expected to be 0.83 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.70. Gusbourne Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Gusbourne PLC stock prices and determine the direction of Gusbourne PLC's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Gusbourne PLC's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Gusbourne PLC to cross-verify your projections. Gusbourne |
Most investors in Gusbourne PLC 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 Gusbourne PLC's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Gusbourne PLC's price structures and extracts relationships that further increase the generated results' accuracy.
Gusbourne PLC polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Gusbourne PLC as well as the accuracy indicators are determined from the period prices. Gusbourne PLC Polynomial Regression Price Forecast For the 18th of April 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Gusbourne PLC on the next trading day is expected to be 0.83 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.70.Please note that although there have been many attempts to predict Gusbourne 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 Gusbourne PLC's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Gusbourne PLC Pink Sheet Forecast Pattern
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Gusbourne PLC Forecasted Value
In the context of forecasting Gusbourne PLC'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. Gusbourne PLC's downside and upside margins for the forecasting period are 0.01 and 1.86, respectively. We have considered Gusbourne PLC'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 Gusbourne PLC pink sheet data series using in forecasting. Note that when a statistical model is used to represent Gusbourne PLC 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 | 109.6102 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0114 |
| MAPE | Mean absolute percentage error | 0.0135 |
| SAE | Sum of the absolute errors | 0.6975 |
Predictive Modules for Gusbourne PLC
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gusbourne PLC. 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 Gusbourne PLC'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 Gusbourne PLC
For every potential investor in Gusbourne, whether a beginner or expert, Gusbourne PLC's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Gusbourne Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Gusbourne. Basic forecasting techniques help filter out the noise by identifying Gusbourne PLC's price trends.Gusbourne PLC 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 Gusbourne PLC pink sheet to make a market-neutral strategy. Peer analysis of Gusbourne PLC could also be used in its relative valuation, which is a method of valuing Gusbourne PLC by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Gusbourne PLC 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 Gusbourne PLC'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 Gusbourne PLC's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Gusbourne PLC Market Strength Events
Market strength indicators help investors to evaluate how Gusbourne PLC 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 Gusbourne PLC shares will generate the highest return on investment. By undertsting and applying Gusbourne PLC pink sheet market strength indicators, traders can identify Gusbourne PLC entry and exit signals to maximize returns.
Gusbourne PLC Risk Indicators
The analysis of Gusbourne PLC'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 Gusbourne PLC's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gusbourne 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 | 0.2994 | |||
| Standard Deviation | 0.9979 | |||
| Variance | 0.9958 |
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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Check out Historical Fundamental Analysis of Gusbourne PLC to cross-verify your projections. Note that the Gusbourne PLC information on this page should be used as a complementary analysis to other Gusbourne PLC's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Complementary Tools for Gusbourne Pink Sheet analysis
When running Gusbourne PLC's price analysis, check to measure Gusbourne PLC'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 Gusbourne PLC is operating at the current time. Most of Gusbourne PLC's value examination focuses on studying past and present price action to predict the probability of Gusbourne PLC's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gusbourne PLC's price. Additionally, you may evaluate how the addition of Gusbourne PLC to your portfolios can decrease your overall portfolio volatility.
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