BZAM Pink Sheet Forecast - Polynomial Regression
The Polynomial Regression forecasted value of BZAM on the next trading day is expected to be 0 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.15. Investors can use prediction functions to forecast BZAM's stock prices and determine the direction of BZAM's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of BZAM's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in population.
BZAM polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BZAM as well as the accuracy indicators are determined from the period prices. BZAM |
BZAM Polynomial Regression Price Forecast For the 19th of December
Given 90 days horizon, the Polynomial Regression forecasted value of BZAM on the next trading day is expected to be 0 with a mean absolute deviation of 0, mean absolute percentage error of 0.000018, and the sum of the absolute errors of 0.15.Please note that although there have been many attempts to predict BZAM 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 BZAM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
BZAM Pink Sheet Forecast Pattern
BZAM Forecasted Value
In the context of forecasting BZAM'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. BZAM's downside and upside margins for the forecasting period are 0.00 and 182.88, respectively. We have considered BZAM'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 BZAM pink sheet data series using in forecasting. Note that when a statistical model is used to represent BZAM 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 | 107.1646 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0025 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 0.1537 |
Predictive Modules for BZAM
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BZAM. 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.Other Forecasting Options for BZAM
For every potential investor in BZAM, whether a beginner or expert, BZAM's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BZAM Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BZAM. Basic forecasting techniques help filter out the noise by identifying BZAM's price trends.BZAM 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 BZAM pink sheet to make a market-neutral strategy. Peer analysis of BZAM could also be used in its relative valuation, which is a method of valuing BZAM by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
BZAM 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 BZAM'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 BZAM's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
BZAM Risk Indicators
The analysis of BZAM'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 BZAM's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bzam 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 | 11.57 | |||
| Standard Deviation | 25.36 | |||
| Variance | 643.1 |
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.