SEAS Old Stock Forecast - Polynomial Regression

SEASDelisted Stock  USD 53.81  1.30  2.48%   
The Polynomial Regression forecasted value of SEAS Old on the next trading day is expected to be 51.84 with a mean absolute deviation of 1.22 and the sum of the absolute errors of 74.51. SEAS Stock Forecast is based on your current time horizon.
  
SEAS Old polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SEAS Old as well as the accuracy indicators are determined from the period prices.

SEAS Old Polynomial Regression Price Forecast For the 28th of January

Given 90 days horizon, the Polynomial Regression forecasted value of SEAS Old on the next trading day is expected to be 51.84 with a mean absolute deviation of 1.22, mean absolute percentage error of 2.30, and the sum of the absolute errors of 74.51.
Please note that although there have been many attempts to predict SEAS 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 SEAS Old's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SEAS Old 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 SEAS Old stock data series using in forecasting. Note that when a statistical model is used to represent SEAS Old 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 Criteria118.9418
BiasArithmetic mean of the errors None
MADMean absolute deviation1.2214
MAPEMean absolute percentage error0.0217
SAESum of the absolute errors74.5055
A single variable polynomial regression model attempts to put a curve through the SEAS Old 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 SEAS Old

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SEAS Old. 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
53.8153.8153.81
Details
Intrinsic
Valuation
LowRealHigh
46.8146.8159.19
Details
Bollinger
Band Projection (param)
LowMiddleHigh
51.3254.6157.89
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SEAS Old. Your research has to be compared to or analyzed against SEAS Old's peers to derive any actionable benefits. When done correctly, SEAS Old'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 SEAS Old.

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 Risk & Return  Correlation

SEAS Old Market Strength Events

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

SEAS Old Risk Indicators

The analysis of SEAS Old'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 SEAS Old's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting seas 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

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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.
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Check out World Market Map 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Consideration for investing in SEAS Stock

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