Life On Pink Sheet Forecast - Polynomial Regression

LFERDelisted Stock  USD 0.0003  0.00  0.00%   
The Polynomial Regression forecasted value of Life On Earth on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0.00001 and the sum of the absolute errors of 0.0006. Life Pink Sheet Forecast is based on your current time horizon.
  
Life On polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Life On Earth as well as the accuracy indicators are determined from the period prices.

Life On Polynomial Regression Price Forecast For the 4th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Life On Earth on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0.00001, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0006.
Please note that although there have been many attempts to predict Life 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 Life On's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Life On Pink Sheet Forecast Pattern

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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 Life On pink sheet data series using in forecasting. Note that when a statistical model is used to represent Life On 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 Criteria95.8897
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.032
SAESum of the absolute errors6.0E-4
A single variable polynomial regression model attempts to put a curve through the Life On 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 Life On

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Life On Earth. 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 Life On'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
0.000.00040.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.00030.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00030.00030.0003
Details

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 Risk & Return  Correlation

Life On Market Strength Events

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

Life On Risk Indicators

The analysis of Life On'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 Life On's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting life 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 Life On

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 Life On 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 Life On will appreciate offsetting losses from the drop in the long position's value.

Moving against Life Pink Sheet

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The ability to find closely correlated positions to Life On could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Life On 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 Life On - 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 Life On Earth to buy it.
The correlation of Life On 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 Life On moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Life On Earth 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 Life On 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
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in income.
You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

Other Consideration for investing in Life Pink Sheet

If you are still planning to invest in Life On Earth check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Life On's history and understand the potential risks before investing.
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