Connecticut Natural Pink Sheet Forecast - Polynomial Regression

CTGSP Stock  USD 2.00  0.00  0.00%   
The Polynomial Regression forecasted value of Connecticut Natural Gas on the next trading day is expected to be 1.95 with a mean absolute deviation of  0.03  and the sum of the absolute errors of 1.58. Connecticut Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Connecticut Natural stock prices and determine the direction of Connecticut Natural Gas's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Connecticut Natural's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Connecticut Natural to cross-verify your projections.
  
Most investors in Connecticut Natural cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Connecticut Natural's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Connecticut Natural's price structures and extracts relationships that further increase the generated results' accuracy.
Connecticut Natural polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Connecticut Natural Gas as well as the accuracy indicators are determined from the period prices.

Connecticut Natural Polynomial Regression Price Forecast For the 6th of May

Given 90 days horizon, the Polynomial Regression forecasted value of Connecticut Natural Gas on the next trading day is expected to be 1.95 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.58.
Please note that although there have been many attempts to predict Connecticut 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 Connecticut Natural's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Connecticut Natural Pink Sheet Forecast Pattern

Backtest Connecticut NaturalConnecticut Natural Price PredictionBuy or Sell Advice 

Connecticut Natural Forecasted Value

In the context of forecasting Connecticut Natural'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. Connecticut Natural's downside and upside margins for the forecasting period are 0.49 and 3.41, respectively. We have considered Connecticut Natural'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
2.00
1.95
Expected Value
3.41
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 Connecticut Natural pink sheet data series using in forecasting. Note that when a statistical model is used to represent Connecticut Natural 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 Criteria111.4596
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0258
MAPEMean absolute percentage error0.0136
SAESum of the absolute errors1.5762
A single variable polynomial regression model attempts to put a curve through the Connecticut Natural 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 Connecticut Natural

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Connecticut Natural Gas. 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 Connecticut Natural'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
0.542.003.46
Details
Intrinsic
Valuation
LowRealHigh
0.381.843.30
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Connecticut Natural. Your research has to be compared to or analyzed against Connecticut Natural's peers to derive any actionable benefits. When done correctly, Connecticut Natural's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Connecticut Natural Gas.

Other Forecasting Options for Connecticut Natural

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

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

Connecticut Natural Gas 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 Connecticut Natural'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 Connecticut Natural's current price.

Connecticut Natural Market Strength Events

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

Connecticut Natural Risk Indicators

The analysis of Connecticut Natural'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 Connecticut Natural's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting connecticut 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 Connecticut Natural

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

Moving together with Connecticut Pink Sheet

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  0.88CNQ Canadian Natural ResPairCorr
  0.93EOG EOG ResourcesPairCorr
  0.95PXD Pioneer Natural ResourcesPairCorr

Moving against Connecticut Pink Sheet

  0.94TLK Telkom Indonesia TbkPairCorr
  0.83TLKMF Telkom Indonesia TbkPairCorr
  0.63PPERY Bank Mandiri PerseroPairCorr
  0.57BKRKY Bank RakyatPairCorr
  0.5PTAIY Astra International TbkPairCorr
The ability to find closely correlated positions to Connecticut Natural could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Connecticut Natural 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 Connecticut Natural - 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 Connecticut Natural Gas to buy it.
The correlation of Connecticut Natural 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 Connecticut Natural moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Connecticut Natural Gas 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 Connecticut Natural 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 Historical Fundamental Analysis of Connecticut Natural to cross-verify your projections.
You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

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When running Connecticut Natural's price analysis, check to measure Connecticut Natural'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 Connecticut Natural is operating at the current time. Most of Connecticut Natural's value examination focuses on studying past and present price action to predict the probability of Connecticut Natural's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Connecticut Natural's price. Additionally, you may evaluate how the addition of Connecticut Natural to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Connecticut Natural's value and its price as these two are different measures arrived at by different means. Investors typically determine if Connecticut Natural is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Connecticut Natural's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.