Applied Visual Pink Sheet Forecast - Polynomial Regression

APVS Stock  USD 0.0001  0.00  0.00%   
The Polynomial Regression forecasted value of Applied Visual Sciences on the next trading day is expected to be 0.000096 with a mean absolute deviation of 0.00000385 and the sum of the absolute errors of 0.0002. Applied Pink Sheet Forecast is based on your current time horizon.
  
Applied Visual polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Applied Visual Sciences as well as the accuracy indicators are determined from the period prices.

Applied Visual Polynomial Regression Price Forecast For the 28th of July

Given 90 days horizon, the Polynomial Regression forecasted value of Applied Visual Sciences on the next trading day is expected to be 0.000096 with a mean absolute deviation of 0.00000385, 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 Applied 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 Applied Visual's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Applied Visual Pink Sheet Forecast Pattern

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Applied Visual Forecasted Value

In the context of forecasting Applied Visual'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. Applied Visual's downside and upside margins for the forecasting period are 0.000001 and 125.82, respectively. We have considered Applied Visual'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
0.000096
Expected Value
125.82
Upside

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 Applied Visual pink sheet data series using in forecasting. Note that when a statistical model is used to represent Applied Visual 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 Criteria95.5272
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors2.0E-4
A single variable polynomial regression model attempts to put a curve through the Applied Visual historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Applied Visual

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Applied Visual Sciences. 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 Applied Visual'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.
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 Applied Visual

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

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

Applied Visual Sciences 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 Applied Visual'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 Applied Visual's current price.

Applied Visual Market Strength Events

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Applied Pink Sheet Analysis

When running Applied Visual's price analysis, check to measure Applied Visual'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 Applied Visual is operating at the current time. Most of Applied Visual's value examination focuses on studying past and present price action to predict the probability of Applied Visual's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Visual's price. Additionally, you may evaluate how the addition of Applied Visual to your portfolios can decrease your overall portfolio volatility.