FLIY Etf Forecast - Polynomial Regression

FLIY Etf  USD 27.46  0.05  0.18%   
The Polynomial Regression forecasted value of FLIY on the next trading day is expected to be 27.95 with a mean absolute deviation of 0.30 and the sum of the absolute errors of 18.03. FLIY Etf Forecast is based on your current time horizon.
  
FLIY polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for FLIY as well as the accuracy indicators are determined from the period prices.

FLIY Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of FLIY on the next trading day is expected to be 27.95 with a mean absolute deviation of 0.30, mean absolute percentage error of 0.12, and the sum of the absolute errors of 18.03.
Please note that although there have been many attempts to predict FLIY Etf 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 FLIY's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

FLIY Etf 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 FLIY etf data series using in forecasting. Note that when a statistical model is used to represent FLIY etf, 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 Criteria115.9767
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2955
MAPEMean absolute percentage error0.0115
SAESum of the absolute errors18.0266
A single variable polynomial regression model attempts to put a curve through the FLIY 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 FLIY

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FLIY. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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
27.4627.4627.46
Details
Intrinsic
Valuation
LowRealHigh
24.9224.9230.21
Details
Bollinger
Band Projection (param)
LowMiddleHigh
27.2127.4427.67
Details

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

FLIY Market Strength Events

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

FLIY Risk Indicators

The analysis of FLIY'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 FLIY's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fliy etf 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.

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.
When determining whether FLIY offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of FLIY's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Fliy Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Fliy Etf:
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
The market value of FLIY is measured differently than its book value, which is the value of FLIY that is recorded on the company's balance sheet. Investors also form their own opinion of FLIY's value that differs from its market value or its book value, called intrinsic value, which is FLIY's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because FLIY's market value can be influenced by many factors that don't directly affect FLIY's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FLIY's value and its price as these two are different measures arrived at by different means. Investors typically determine if FLIY is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FLIY's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.