Fortune Rise Stock Forecast - Polynomial Regression

FRLAUDelisted Stock  USD 11.69  0.00  0.00%   
The Polynomial Regression forecasted value of Fortune Rise Acquisition on the next trading day is expected to be 11.61 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.09. Fortune Stock Forecast is based on your current time horizon.
  
Fortune Rise polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Fortune Rise Acquisition as well as the accuracy indicators are determined from the period prices.

Fortune Rise Polynomial Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Fortune Rise Acquisition on the next trading day is expected to be 11.61 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.09.
Please note that although there have been many attempts to predict Fortune 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 Fortune Rise's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fortune Rise Stock Forecast Pattern

Backtest Fortune RiseFortune Rise 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 Fortune Rise stock data series using in forecasting. Note that when a statistical model is used to represent Fortune Rise 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 Criteria112.7957
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0507
MAPEMean absolute percentage error0.0044
SAESum of the absolute errors3.0941
A single variable polynomial regression model attempts to put a curve through the Fortune Rise 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 Fortune Rise

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fortune Rise Acquisition. 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
11.2711.7212.17
Details
Intrinsic
Valuation
LowRealHigh
9.409.8512.86
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fortune Rise. Your research has to be compared to or analyzed against Fortune Rise's peers to derive any actionable benefits. When done correctly, Fortune Rise'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 Fortune Rise Acquisition.

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

Fortune Rise Market Strength Events

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

Fortune Rise Risk Indicators

The analysis of Fortune Rise'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 Fortune Rise's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fortune 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
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 nation.
You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.

Other Consideration for investing in Fortune Stock

If you are still planning to invest in Fortune Rise Acquisition 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 Fortune Rise's history and understand the potential risks before investing.
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Fundamental Analysis
View fundamental data based on most recent published financial statements
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets