Chester Mining Pink Sheet Forecast - Simple Regression

CHMN Stock  USD 0.0002  0.00  0.00%   
The Simple Regression forecasted value of Chester Mining on the next trading day is expected to be 0.0002 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Chester Pink Sheet Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Chester Mining price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Chester Mining Simple Regression Price Forecast For the 28th of November

Given 90 days horizon, the Simple Regression forecasted value of Chester Mining on the next trading day is expected to be 0.0002 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Chester 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 Chester Mining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chester Mining Pink Sheet Forecast Pattern

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Chester Mining Forecasted Value

In the context of forecasting Chester Mining'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. Chester Mining's downside and upside margins for the forecasting period are 0.0002 and 0.0002, respectively. We have considered Chester Mining'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
0.0002
0.0002
Downside
0.0002
Expected Value
0.0002
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Chester Mining pink sheet data series using in forecasting. Note that when a statistical model is used to represent Chester Mining 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.
AICAkaike Information Criteria31.7852
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Chester Mining historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Chester Mining

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chester Mining. 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.
Hype
Prediction
LowEstimatedHigh
0.000.00020.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.00020.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00020.00020.0002
Details

Other Forecasting Options for Chester Mining

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

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

Chester Mining 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 Chester Mining'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 Chester Mining's current price.

Chester Mining Market Strength Events

Market strength indicators help investors to evaluate how Chester Mining 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 Chester Mining shares will generate the highest return on investment. By undertsting and applying Chester Mining pink sheet market strength indicators, traders can identify Chester Mining entry and exit signals to maximize returns.

Pair Trading with Chester Mining

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Chester Mining position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Chester Mining will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Chester Mining could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Chester Mining when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Chester Mining - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Chester Mining to buy it.
The correlation of Chester Mining is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Chester Mining moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Chester Mining moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Chester Mining can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Chester Pink Sheet

Chester Mining financial ratios help investors to determine whether Chester 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 Chester with respect to the benefits of owning Chester Mining security.