Flint Telecom Pink Sheet Forecast - Polynomial Regression

EAXR Stock  USD 1.00  0.00  0.00%   
The Polynomial Regression forecasted value of Flint Telecom Group on the next trading day is expected to be 1.03 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.87. Flint Pink Sheet Forecast is based on your current time horizon.
  
Flint Telecom polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Flint Telecom Group as well as the accuracy indicators are determined from the period prices.

Flint Telecom Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of Flint Telecom Group on the next trading day is expected to be 1.03 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.87.
Please note that although there have been many attempts to predict Flint 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 Flint Telecom's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Flint Telecom Pink Sheet Forecast Pattern

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Flint Telecom Forecasted Value

In the context of forecasting Flint Telecom'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. Flint Telecom's downside and upside margins for the forecasting period are 0.01 and 9.28, respectively. We have considered Flint Telecom'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
1.00
1.03
Expected Value
9.28
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 Flint Telecom pink sheet data series using in forecasting. Note that when a statistical model is used to represent Flint Telecom 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 Criteria112.8387
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0471
MAPEMean absolute percentage error0.0439
SAESum of the absolute errors2.8706
A single variable polynomial regression model attempts to put a curve through the Flint Telecom 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 Flint Telecom

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Flint Telecom Group. 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 Flint Telecom'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
0.051.009.26
Details
Intrinsic
Valuation
LowRealHigh
0.040.899.15
Details

Other Forecasting Options for Flint Telecom

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

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

Flint Telecom Group 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 Flint Telecom'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 Flint Telecom's current price.

Flint Telecom Market Strength Events

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

Flint Telecom Risk Indicators

The analysis of Flint Telecom'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 Flint Telecom's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting flint 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.
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.

Pair Trading with Flint Telecom

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 Flint Telecom 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 Flint Telecom will appreciate offsetting losses from the drop in the long position's value.

Moving together with Flint Pink Sheet

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Moving against Flint Pink Sheet

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The ability to find closely correlated positions to Flint Telecom could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Flint Telecom 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 Flint Telecom - 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 Flint Telecom Group to buy it.
The correlation of Flint Telecom 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 Flint Telecom moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Flint Telecom Group 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 Flint Telecom 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

Additional Tools for Flint Pink Sheet Analysis

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