Caxton Stock Forward View - Polynomial Regression

CAT Stock   1,470  5.00  0.34%   
The Polynomial Regression forecasted value of Caxton on the next trading day is expected to be 1,485 with a mean absolute deviation of 19.28 and the sum of the absolute errors of 1,196. Investors can use prediction functions to forecast Caxton's stock prices and determine the direction of Caxton's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We suggest always using this module together with an analysis of Caxton's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities 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 bureau of economic analysis. The value of RSI of Caxton's stock price is about 63 suggesting that the stock is rather overbought by investors at the present time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Caxton, making its price go up or down.

Momentum 63

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of Caxton's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Caxton and does not consider all of the tangible or intangible factors available from Caxton's fundamental data. We analyze noise-free headlines and recent hype associated with Caxton, which may create opportunities for some arbitrage if properly timed.
Using Caxton hype-based prediction, you can estimate the value of Caxton from the perspective of Caxton response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Caxton on the next trading day is expected to be 1,485 with a mean absolute deviation of 19.28 and the sum of the absolute errors of 1,196.

Caxton after-hype prediction price

    
  ZAC 1470.0  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Trending Equities 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 bureau of economic analysis.

Caxton Additional Predictive Modules

Most predictive techniques to examine Caxton price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Caxton using various technical indicators. When you analyze Caxton charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Caxton polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Caxton as well as the accuracy indicators are determined from the period prices.

Caxton Polynomial Regression Price Forecast For the 1st of March

Given 90 days horizon, the Polynomial Regression forecasted value of Caxton on the next trading day is expected to be 1,485 with a mean absolute deviation of 19.28, mean absolute percentage error of 545.53, and the sum of the absolute errors of 1,196.
Please note that although there have been many attempts to predict Caxton Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Caxton's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Caxton Stock Forecast Pattern

Caxton Forecasted Value

In the context of forecasting Caxton's Stock 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. Caxton's downside and upside margins for the forecasting period are 1,483 and 1,487, respectively. We have considered Caxton'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
1,470
1,485
Expected Value
1,487
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 Caxton stock data series using in forecasting. Note that when a statistical model is used to represent Caxton 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 Criteria126.2501
BiasArithmetic mean of the errors None
MADMean absolute deviation19.2841
MAPEMean absolute percentage error0.014
SAESum of the absolute errors1195.6156
A single variable polynomial regression model attempts to put a curve through the Caxton 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 Caxton

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Caxton. 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.

Caxton Estimiated After-Hype Price Volatility

As far as predicting the price of Caxton at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Caxton or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Caxton, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Caxton Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Caxton is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Caxton backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Caxton, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.10 
1.68
 0.00  
 0.00  
0 Events / Month
0 Events / Month
In 5 to 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
1,470
1,470
0.00 
0.00  
Notes

Caxton Hype Timeline

Caxton is currently traded for 1,470on Johannesburg Exchange of South Africa. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Caxton is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.1%. %. The volatility of related hype on Caxton is about 0.0%, with the expected price after the next announcement by competition of 1,470. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days.
Check out Trending Equities 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 bureau of economic analysis.

Caxton Related Hype Analysis

Having access to credible news sources related to Caxton's direct competition is more important than ever and may enhance your ability to predict Caxton's future price movements. Getting to know how Caxton's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Caxton may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Caxton

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

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

Caxton Market Strength Events

Market strength indicators help investors to evaluate how Caxton stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Caxton shares will generate the highest return on investment. By undertsting and applying Caxton stock market strength indicators, traders can identify Caxton entry and exit signals to maximize returns.

Caxton Risk Indicators

The analysis of Caxton'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 Caxton's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting caxton stock 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.

Story Coverage note for Caxton

The number of cover stories for Caxton depends on current market conditions and Caxton's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Caxton is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Caxton's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

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