Intelligent Alpha Etf Forecast - Simple Regression

GPT Etf  USD 30.34  0.23  0.75%   
The Simple Regression forecasted value of Intelligent Alpha Atlas on the next trading day is expected to be 30.34 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 18.88. Intelligent Etf Forecast is based on your current time horizon.
Simple Regression model is a single variable regression model that attempts to put a straight line through Intelligent Alpha price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Intelligent Alpha Simple Regression Price Forecast For the 25th of December

Given 90 days horizon, the Simple Regression forecasted value of Intelligent Alpha Atlas on the next trading day is expected to be 30.34 with a mean absolute deviation of 0.31, mean absolute percentage error of 0.16, and the sum of the absolute errors of 18.88.
Please note that although there have been many attempts to predict Intelligent 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 Intelligent Alpha's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Intelligent Alpha Etf Forecast Pattern

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Intelligent Alpha Forecasted Value

In the context of forecasting Intelligent Alpha's Etf value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Intelligent Alpha's downside and upside margins for the forecasting period are 29.28 and 31.41, respectively. We have considered Intelligent Alpha's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
30.34
30.34
Expected Value
31.41
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Intelligent Alpha etf data series using in forecasting. Note that when a statistical model is used to represent Intelligent Alpha 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 Criteria116.2897
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3096
MAPEMean absolute percentage error0.0103
SAESum of the absolute errors18.8835
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Intelligent Alpha Atlas historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Intelligent Alpha

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Intelligent Alpha Atlas. 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
29.3330.3931.45
Details
Intrinsic
Valuation
LowRealHigh
29.2430.3031.36
Details
Bollinger
Band Projection (param)
LowMiddleHigh
29.4530.2631.07
Details

Other Forecasting Options for Intelligent Alpha

For every potential investor in Intelligent, whether a beginner or expert, Intelligent Alpha's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Intelligent Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Intelligent. Basic forecasting techniques help filter out the noise by identifying Intelligent Alpha's price trends.

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

Intelligent Alpha Atlas Technical and Predictive Analytics

The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Intelligent Alpha's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Intelligent Alpha's current price.

Intelligent Alpha Market Strength Events

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

Intelligent Alpha Risk Indicators

The analysis of Intelligent Alpha'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 Intelligent Alpha's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting intelligent 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.

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.
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When determining whether Intelligent Alpha Atlas is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Intelligent Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Intelligent Alpha Atlas Etf. Highlighted below are key reports to facilitate an investment decision about Intelligent Alpha Atlas Etf:
Check out Historical Fundamental Analysis of Intelligent Alpha to cross-verify your projections.
You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
The market value of Intelligent Alpha Atlas is measured differently than its book value, which is the value of Intelligent that is recorded on the company's balance sheet. Investors also form their own opinion of Intelligent Alpha's value that differs from its market value or its book value, called intrinsic value, which is Intelligent Alpha'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 Intelligent Alpha's market value can be influenced by many factors that don't directly affect Intelligent Alpha'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 Intelligent Alpha's value and its price as these two are different measures arrived at by different means. Investors typically determine if Intelligent Alpha is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Intelligent Alpha'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.