CLIMATEROCK Stock Forecast - Polynomial Regression

The Polynomial Regression forecasted value of CLIMATEROCK on the next trading day is expected to be -0.01 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.33. CLIMATEROCK Stock Forecast is based on your current time horizon.
  
CLIMATEROCK polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for CLIMATEROCK as well as the accuracy indicators are determined from the period prices.

CLIMATEROCK Polynomial Regression Price Forecast For the 29th of November

Given 90 days horizon, the Polynomial Regression forecasted value of CLIMATEROCK on the next trading day is expected to be -0.01 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000061, and the sum of the absolute errors of 0.33.
Please note that although there have been many attempts to predict CLIMATEROCK Stock 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 CLIMATEROCK's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CLIMATEROCK Stock 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 CLIMATEROCK stock data series using in forecasting. Note that when a statistical model is used to represent CLIMATEROCK stock, 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 Criteria108.4122
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0055
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors0.3338
A single variable polynomial regression model attempts to put a curve through the CLIMATEROCK 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 CLIMATEROCK

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CLIMATEROCK. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 CLIMATEROCK'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.
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CLIMATEROCK 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 CLIMATEROCK stock to make a market-neutral strategy. Peer analysis of CLIMATEROCK could also be used in its relative valuation, which is a method of valuing CLIMATEROCK by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for CLIMATEROCK Stock Analysis

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