Alliance Finance Stock Forecast - 4 Period Moving Average

ALLIN0000   126.00  0.75  0.60%   
The 4 Period Moving Average forecasted value of Alliance Finance on the next trading day is expected to be 125.50 with a mean absolute deviation of 1.81 and the sum of the absolute errors of 102.90. Alliance Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Alliance Finance stock prices and determine the direction of Alliance Finance's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Alliance Finance's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Alliance Finance is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Alliance Finance 4 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Alliance Finance on the next trading day is expected to be 125.50 with a mean absolute deviation of 1.81, mean absolute percentage error of 6.70, and the sum of the absolute errors of 102.90.
Please note that although there have been many attempts to predict Alliance 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 Alliance Finance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alliance Finance Stock Forecast Pattern

Alliance Finance Forecasted Value

In the context of forecasting Alliance Finance'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. Alliance Finance's downside and upside margins for the forecasting period are 123.85 and 127.15, respectively. We have considered Alliance Finance'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
126.00
123.85
Downside
125.50
Expected Value
127.15
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Alliance Finance stock data series using in forecasting. Note that when a statistical model is used to represent Alliance Finance 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 Criteria112.6606
BiasArithmetic mean of the errors -1.0702
MADMean absolute deviation1.8053
MAPEMean absolute percentage error0.016
SAESum of the absolute errors102.9
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Alliance Finance. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Alliance Finance and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Alliance Finance

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alliance Finance. 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
0.000.001.65
Details
Intrinsic
Valuation
LowRealHigh
0.000.001.65
Details
Bollinger
Band Projection (param)
LowMiddleHigh
107.98118.12128.27
Details

Other Forecasting Options for Alliance Finance

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

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

Alliance Finance 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 Alliance Finance'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 Alliance Finance's current price.

Alliance Finance Market Strength Events

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

Alliance Finance Risk Indicators

The analysis of Alliance Finance'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 Alliance Finance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alliance 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.

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Other Information on Investing in Alliance Stock

Alliance Finance financial ratios help investors to determine whether Alliance 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 Alliance with respect to the benefits of owning Alliance Finance security.