Beaver Coal Pink Sheet Forecast - Polynomial Regression
| BVERS Stock | USD 3,300 50.00 1.49% |
The Polynomial Regression forecasted value of Beaver Coal Co on the next trading day is expected to be 3,363 with a mean absolute deviation of 49.05 and the sum of the absolute errors of 2,992. Beaver Pink Sheet Forecast is based on your current time horizon.
Beaver |
Beaver Coal Polynomial Regression Price Forecast For the 28th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Beaver Coal Co on the next trading day is expected to be 3,363 with a mean absolute deviation of 49.05, mean absolute percentage error of 3,551, and the sum of the absolute errors of 2,992.Please note that although there have been many attempts to predict Beaver 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 Beaver Coal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Beaver Coal Pink Sheet Forecast Pattern
| Backtest Beaver Coal | Beaver Coal Price Prediction | Buy or Sell Advice |
Beaver Coal Forecasted Value
In the context of forecasting Beaver Coal'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. Beaver Coal's downside and upside margins for the forecasting period are 3,362 and 3,365, respectively. We have considered Beaver Coal'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 Beaver Coal pink sheet data series using in forecasting. Note that when a statistical model is used to represent Beaver Coal 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 | 126.2854 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 49.0545 |
| MAPE | Mean absolute percentage error | 0.0161 |
| SAE | Sum of the absolute errors | 2992.3273 |
Predictive Modules for Beaver Coal
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Beaver Coal. 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 Beaver Coal
For every potential investor in Beaver, whether a beginner or expert, Beaver Coal's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Beaver Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Beaver. Basic forecasting techniques help filter out the noise by identifying Beaver Coal's price trends.Beaver Coal 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 Beaver Coal pink sheet to make a market-neutral strategy. Peer analysis of Beaver Coal could also be used in its relative valuation, which is a method of valuing Beaver Coal by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Beaver Coal 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 Beaver Coal'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 Beaver Coal's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Beaver Coal Market Strength Events
Market strength indicators help investors to evaluate how Beaver Coal 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 Beaver Coal shares will generate the highest return on investment. By undertsting and applying Beaver Coal pink sheet market strength indicators, traders can identify Beaver Coal Co entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0186 | |||
| Daily Balance Of Power | (0.80) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 3331.25 | |||
| Day Typical Price | 3320.83 | |||
| Market Facilitation Index | 62.5 | |||
| Price Action Indicator | (56.25) | |||
| Period Momentum Indicator | (50.00) | |||
| Relative Strength Index | 58.02 |
Beaver Coal Risk Indicators
The analysis of Beaver Coal'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 Beaver Coal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting beaver 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 | 0.6805 | |||
| Standard Deviation | 1.56 | |||
| Variance | 2.44 |
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.
Thematic Opportunities
Explore Investment Opportunities
Additional Tools for Beaver Pink Sheet Analysis
When running Beaver Coal's price analysis, check to measure Beaver Coal'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 Beaver Coal is operating at the current time. Most of Beaver Coal's value examination focuses on studying past and present price action to predict the probability of Beaver Coal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Beaver Coal's price. Additionally, you may evaluate how the addition of Beaver Coal to your portfolios can decrease your overall portfolio volatility.