Alpha Trust Stock Forecast - Simple Regression

ATRUST Stock  EUR 13.40  0.10  0.75%   
The Simple Regression forecasted value of Alpha Trust Mutual on the next trading day is expected to be 13.57 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 13.00. Alpha Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Alpha Trust stock prices and determine the direction of Alpha Trust Mutual's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Alpha Trust's historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time the value of rsi of Alpha Trust's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Alpha Trust's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Alpha Trust Mutual, which may create opportunities for some arbitrage if properly timed.
Using Alpha Trust hype-based prediction, you can estimate the value of Alpha Trust Mutual from the perspective of Alpha Trust response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Alpha Trust Mutual on the next trading day is expected to be 13.57 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 13.00.

Alpha Trust after-hype prediction price

    
  EUR 13.4  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Alpha Trust to cross-verify your projections.

Alpha Trust Additional Predictive Modules

Most predictive techniques to examine Alpha price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Alpha using various technical indicators. When you analyze Alpha charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Alpha Trust 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.

Alpha Trust Simple Regression Price Forecast For the 19th of January

Given 90 days horizon, the Simple Regression forecasted value of Alpha Trust Mutual on the next trading day is expected to be 13.57 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.08, and the sum of the absolute errors of 13.00.
Please note that although there have been many attempts to predict Alpha 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 Alpha Trust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alpha Trust Stock Forecast Pattern

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Alpha Trust Forecasted Value

In the context of forecasting Alpha Trust's Stock 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. Alpha Trust's downside and upside margins for the forecasting period are 12.38 and 14.77, respectively. We have considered Alpha Trust'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
13.40
13.57
Expected Value
14.77
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 Alpha Trust stock data series using in forecasting. Note that when a statistical model is used to represent Alpha Trust 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 Criteria115.6123
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2131
MAPEMean absolute percentage error0.0177
SAESum of the absolute errors12.9965
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 Alpha Trust Mutual 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 Alpha Trust

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alpha Trust Mutual. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alpha Trust's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
12.2113.4014.59
Details
Intrinsic
Valuation
LowRealHigh
11.3712.5613.75
Details

Other Forecasting Options for Alpha Trust

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

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

Alpha Trust Mutual Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Alpha Trust'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 Alpha Trust's current price.

Alpha Trust Market Strength Events

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

Alpha Trust Risk Indicators

The analysis of Alpha Trust'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 Alpha Trust's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alpha 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.
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Other Information on Investing in Alpha Stock

Alpha Trust financial ratios help investors to determine whether Alpha Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Alpha with respect to the benefits of owning Alpha Trust security.