Banneker Pink Sheet Forecast - Simple Regression

BANI Stock  USD 0.0001  0.00  0.00%   
The Simple Regression forecasted value of Banneker on the next trading day is expected to be 0.000099 with a mean absolute deviation of 0.00000322 and the sum of the absolute errors of 0.0002. Banneker Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Banneker's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Banneker 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.

Banneker Simple Regression Price Forecast For the 24th of July

Given 90 days horizon, the Simple Regression forecasted value of Banneker on the next trading day is expected to be 0.000099 with a mean absolute deviation of 0.00000322, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0002.
Please note that although there have been many attempts to predict Banneker 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 Banneker's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Banneker Pink Sheet Forecast Pattern

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Banneker Forecasted Value

In the context of forecasting Banneker'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. Banneker's downside and upside margins for the forecasting period are 0.000001 and 128.89, respectively. We have considered Banneker'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
0.0001
0.000001
Downside
0.000099
Expected Value
128.89
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 Banneker pink sheet data series using in forecasting. Note that when a statistical model is used to represent Banneker 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 Criteria95.5611
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors2.0E-4
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 Banneker 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 Banneker

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Banneker. 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
0.000.000150.01
Details
Intrinsic
Valuation
LowRealHigh
0.000.00006350.01
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Other Forecasting Options for Banneker

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

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

Banneker 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 Banneker'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 Banneker's current price.

Banneker Market Strength Events

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

Currently Active Assets on Macroaxis

Other Information on Investing in Banneker Pink Sheet

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