Ag Growth Stock Forecast - Simple Moving Average

AFN Stock  CAD 51.98  1.43  2.68%   
The Simple Moving Average forecasted value of Ag Growth International on the next trading day is expected to be 51.98 with a mean absolute deviation of 0.68 and the sum of the absolute errors of 41.10. AFN Stock Forecast is based on your current time horizon. Although Ag Growth's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Ag Growth's systematic risk associated with finding meaningful patterns of Ag Growth fundamentals over time.
  
At this time, Ag Growth's Receivables Turnover is very stable compared to the past year. As of the 27th of November 2024, Fixed Asset Turnover is likely to grow to 4.87, while Inventory Turnover is likely to drop 2.71. . As of the 27th of November 2024, Common Stock Shares Outstanding is likely to drop to about 16.3 M. In addition to that, Net Loss is likely to grow to about (43.2 M).
A two period moving average forecast for Ag Growth is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Ag Growth Simple Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Ag Growth International on the next trading day is expected to be 51.98 with a mean absolute deviation of 0.68, mean absolute percentage error of 0.89, and the sum of the absolute errors of 41.10.
Please note that although there have been many attempts to predict AFN 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 Ag Growth's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ag Growth Stock Forecast Pattern

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Ag Growth Forecasted Value

In the context of forecasting Ag Growth'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. Ag Growth's downside and upside margins for the forecasting period are 50.31 and 53.65, respectively. We have considered Ag Growth'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
51.98
51.98
Expected Value
53.65
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Ag Growth stock data series using in forecasting. Note that when a statistical model is used to represent Ag Growth 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 Criteria116.1515
BiasArithmetic mean of the errors 0.0739
MADMean absolute deviation0.6849
MAPEMean absolute percentage error0.0132
SAESum of the absolute errors41.095
The simple moving average model is conceptually a linear regression of the current value of Ag Growth International price series against current and previous (unobserved) value of Ag Growth. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Ag Growth

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ag Growth International. 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
50.2851.9153.54
Details
Intrinsic
Valuation
LowRealHigh
50.3151.9453.57
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.201.301.36
Details

Other Forecasting Options for Ag Growth

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

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

Ag Growth International 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 Ag Growth'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 Ag Growth's current price.

Ag Growth Market Strength Events

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

Ag Growth Risk Indicators

The analysis of Ag Growth'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 Ag Growth's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting afn 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.

Pair Trading with Ag Growth

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ag Growth position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ag Growth will appreciate offsetting losses from the drop in the long position's value.

Moving against AFN Stock

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The ability to find closely correlated positions to Ag Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ag Growth when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Ag Growth - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Ag Growth International to buy it.
The correlation of Ag Growth is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ag Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ag Growth International moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ag Growth can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in AFN Stock

Ag Growth financial ratios help investors to determine whether AFN 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 AFN with respect to the benefits of owning Ag Growth security.