All Iron Stock Forecast - Simple Regression

YAI1 Stock  EUR 14.30  0.10  0.70%   
The Simple Regression forecasted value of All Iron Re on the next trading day is expected to be 13.74 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.76. All Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast All Iron stock prices and determine the direction of All Iron Re's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of All Iron's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the value of rsi of All Iron's share price is below 20 . This entails 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 All Iron's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with All Iron Re, which may create opportunities for some arbitrage if properly timed.
Using All Iron hype-based prediction, you can estimate the value of All Iron Re from the perspective of All Iron response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of All Iron Re on the next trading day is expected to be 13.74 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.76.

All Iron after-hype prediction price

    
  EUR 14.3  
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 All Iron to cross-verify your projections.

All Iron Additional Predictive Modules

Most predictive techniques to examine All price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for All using various technical indicators. When you analyze All 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 All Iron 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.

All Iron Simple Regression Price Forecast For the 6th of January

Given 90 days horizon, the Simple Regression forecasted value of All Iron Re on the next trading day is expected to be 13.74 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.08, and the sum of the absolute errors of 10.76.
Please note that although there have been many attempts to predict All 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 All Iron's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

All Iron Stock Forecast Pattern

Backtest All IronAll Iron Price PredictionBuy or Sell Advice 

All Iron Forecasted Value

In the context of forecasting All Iron'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. All Iron's downside and upside margins for the forecasting period are 12.34 and 15.14, respectively. We have considered All Iron'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
14.30
13.74
Expected Value
15.14
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 All Iron stock data series using in forecasting. Note that when a statistical model is used to represent All Iron 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 Criteria115.5987
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1764
MAPEMean absolute percentage error0.013
SAESum of the absolute errors10.7587
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 All Iron Re 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 All Iron

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as All Iron Re. 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
12.9014.3015.70
Details
Intrinsic
Valuation
LowRealHigh
10.4911.8915.73
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.1714.2714.36
Details

Other Forecasting Options for All Iron

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

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

All Iron Re 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 All Iron'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 All Iron's current price.

All Iron Market Strength Events

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

All Iron Risk Indicators

The analysis of All Iron'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 All Iron's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting all 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.

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.

Other Information on Investing in All Stock

All Iron financial ratios help investors to determine whether All 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 All with respect to the benefits of owning All Iron security.