Scient Pink Sheet Forecast - Polynomial Regression

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

Scient Polynomial Regression Price Forecast For the 1st of January

Given 90 days horizon, the Polynomial Regression forecasted value of Scient Inc on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Scient 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 Scient's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Scient Pink Sheet Forecast Pattern

Backtest ScientScient Price PredictionBuy or Sell Advice 

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 Scient pink sheet data series using in forecasting. Note that when a statistical model is used to represent Scient 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the Scient 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 Scient

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Scient Inc. 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 Scient'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
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details

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

Pair Trading with Scient

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

Moving against Scient Pink Sheet

  0.57HMDCF HUTCHMED LimitedPairCorr
  0.39WOLF Wolfspeed,PairCorr
  0.35EGP EastGroup PropertiesPairCorr
  0.34STAG STAG IndustrialPairCorr
The ability to find closely correlated positions to Scient could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Scient 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 Scient - 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 Scient Inc to buy it.
The correlation of Scient 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 Scient moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Scient Inc 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 Scient 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 World Market Map 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 persons.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

Other Consideration for investing in Scient Pink Sheet

If you are still planning to invest in Scient Inc 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 Scient's history and understand the potential risks before investing.
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