Missfresh Stock Forecast - Polynomial Regression

MFDelisted Stock  USD 0.04  0.00  0.00%   
The Polynomial Regression forecasted value of Missfresh Ltd ADR on the next trading day is expected to be 0.20 with a mean absolute deviation of  0.11  and the sum of the absolute errors of 6.83. Missfresh Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Missfresh stock prices and determine the direction of Missfresh Ltd ADR's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Missfresh's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Correlation Analysis 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 census.
  
Most investors in Missfresh 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 Missfresh's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Missfresh's price structures and extracts relationships that further increase the generated results' accuracy.
Missfresh polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Missfresh Ltd ADR as well as the accuracy indicators are determined from the period prices.

Missfresh Polynomial Regression Price Forecast For the 26th of April

Given 90 days horizon, the Polynomial Regression forecasted value of Missfresh Ltd ADR on the next trading day is expected to be 0.20 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.83.
Please note that although there have been many attempts to predict Missfresh 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 Missfresh's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Missfresh 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 Missfresh stock data series using in forecasting. Note that when a statistical model is used to represent Missfresh 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 Criteria114.3207
BiasArithmetic mean of the errors None
MADMean absolute deviation0.112
MAPEMean absolute percentage error0.9558
SAESum of the absolute errors6.8298
A single variable polynomial regression model attempts to put a curve through the Missfresh 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 Missfresh

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Missfresh ADR. 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 Missfresh'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
0.030.040.04
Details
Intrinsic
Valuation
LowRealHigh
0.030.040.04
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Missfresh. Your research has to be compared to or analyzed against Missfresh's peers to derive any actionable benefits. When done correctly, Missfresh'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 Missfresh ADR.

View Missfresh Related Equities

 Risk & Return  Correlation

Missfresh Market Strength Events

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

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Check out Correlation Analysis 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 census.
Note that the Missfresh ADR information on this page should be used as a complementary analysis to other Missfresh's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

Other Consideration for investing in Missfresh Stock

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