ConforMIS Stock Forecast - Polynomial Regression
CFMSDelisted Stock | USD 2.26 0.00 0.00% |
The Polynomial Regression forecasted value of ConforMIS on the next trading day is expected to be 2.40 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 6.04. ConforMIS Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ConforMIS stock prices and determine the direction of ConforMIS's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ConforMIS'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 tightly coupled with the direction of predictive economic indicators such as signals in population. ConforMIS |
Most investors in ConforMIS 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 ConforMIS's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets ConforMIS's price structures and extracts relationships that further increase the generated results' accuracy.
ConforMIS polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ConforMIS as well as the accuracy indicators are determined from the period prices. ConforMIS Polynomial Regression Price Forecast For the 13th of May 2024
Given 90 days horizon, the Polynomial Regression forecasted value of ConforMIS on the next trading day is expected to be 2.40 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.04.Please note that although there have been many attempts to predict ConforMIS 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 ConforMIS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ConforMIS Stock Forecast Pattern
Backtest ConforMIS | ConforMIS Price Prediction | Buy 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 ConforMIS stock data series using in forecasting. Note that when a statistical model is used to represent ConforMIS 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.AIC | Akaike Information Criteria | 114.3254 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.0991 |
MAPE | Mean absolute percentage error | 0.0589 |
SAE | Sum of the absolute errors | 6.0434 |
Predictive Modules for ConforMIS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ConforMIS. 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 ConforMIS'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.
View ConforMIS Related Equities
Risk & Return | Correlation |
ConforMIS Market Strength Events
Market strength indicators help investors to evaluate how ConforMIS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ConforMIS shares will generate the highest return on investment. By undertsting and applying ConforMIS stock market strength indicators, traders can identify ConforMIS entry and exit signals to maximize returns.
ConforMIS Risk Indicators
The analysis of ConforMIS'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 ConforMIS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting conformis 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.
Mean Deviation | 2.89 | |||
Standard Deviation | 10.78 | |||
Variance | 116.19 | |||
Downside Variance | 2.77 | |||
Semi Variance | (0.65) | |||
Expected Short fall | (5.08) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards ConforMIS in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, ConforMIS's short interest history, or implied volatility extrapolated from ConforMIS options trading.
Pair Trading with ConforMIS
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 ConforMIS 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 ConforMIS will appreciate offsetting losses from the drop in the long position's value.Moving against ConforMIS Stock
0.74 | BA | Boeing Financial Report 24th of July 2024 | PairCorr |
0.61 | MCD | McDonalds Financial Report 25th of July 2024 | PairCorr |
0.44 | INTC | Intel Financial Report 25th of July 2024 | PairCorr |
0.42 | JNJ | Johnson Johnson Financial Report 18th of July 2024 | PairCorr |
The ability to find closely correlated positions to ConforMIS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ConforMIS 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 ConforMIS - 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 ConforMIS to buy it.
The correlation of ConforMIS 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 ConforMIS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ConforMIS 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 ConforMIS 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.Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Other Consideration for investing in ConforMIS Stock
If you are still planning to invest in ConforMIS 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 ConforMIS's history and understand the potential risks before investing.
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