EQRx Stock Forecast - Polynomial Regression

EQRXDelisted Stock  USD 1.83  0.13  6.63%   
The Polynomial Regression forecasted value of EQRx Inc on the next trading day is expected to be 1.97 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.67. EQRx Stock Forecast is based on your current time horizon.
  
EQRx polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for EQRx Inc as well as the accuracy indicators are determined from the period prices.

EQRx Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of EQRx Inc on the next trading day is expected to be 1.97 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.67.
Please note that although there have been many attempts to predict EQRx 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 EQRx's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

EQRx Stock Forecast Pattern

Backtest EQRxEQRx Price PredictionBuy 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 EQRx stock data series using in forecasting. Note that when a statistical model is used to represent EQRx 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 Criteria112.8774
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0602
MAPEMean absolute percentage error0.033
SAESum of the absolute errors3.6736
A single variable polynomial regression model attempts to put a curve through the EQRx 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 EQRx

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EQRx Inc. 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.
Hype
Prediction
LowEstimatedHigh
1.831.831.83
Details
Intrinsic
Valuation
LowRealHigh
1.561.562.01
Details

View EQRx Related Equities

 Risk & Return  Correlation

EQRx Market Strength Events

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

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.
Check out Investing Opportunities 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 metropolitan statistical area.
You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.

Other Consideration for investing in EQRx Stock

If you are still planning to invest in EQRx Inc 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 EQRx's history and understand the potential risks before investing.
Equity Valuation
Check real value of public entities based on technical and fundamental data
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm