Gan Stock Forecast - 20 Period Moving Average

GAN Stock  USD 1.84  0.02  1.10%   
The 20 Period Moving Average forecasted value of Gan on the next trading day is expected to be 1.81 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.95. Gan Stock Forecast is based on your current time horizon. Although Gan's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Gan's systematic risk associated with finding meaningful patterns of Gan fundamentals over time.
  
At this time, Gan's Inventory Turnover is very stable compared to the past year. As of the 22nd of November 2024, Receivables Turnover is likely to grow to 11.90, while Payables Turnover is likely to drop 4.33. . As of the 22nd of November 2024, Common Stock Shares Outstanding is likely to drop to about 35.6 M. In addition to that, Net Loss is likely to grow to about (168.9 M).
A commonly used 20-period moving average forecast model for Gan is based on a synthetically constructed Gandaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Gan 20 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Gan on the next trading day is expected to be 1.81 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0008, and the sum of the absolute errors of 0.95.
Please note that although there have been many attempts to predict Gan 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 Gan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Gan Stock Forecast Pattern

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Gan Forecasted Value

In the context of forecasting Gan'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. Gan's downside and upside margins for the forecasting period are 0.70 and 2.91, respectively. We have considered Gan'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
1.84
1.81
Expected Value
2.91
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Gan stock data series using in forecasting. Note that when a statistical model is used to represent Gan 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 Criteria74.2809
BiasArithmetic mean of the errors -0.0122
MADMean absolute deviation0.0232
MAPEMean absolute percentage error0.0128
SAESum of the absolute errors0.9505
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Gan 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Gan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gan. 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
0.721.822.92
Details
Intrinsic
Valuation
LowRealHigh
1.042.143.24
Details
2 Analysts
Consensus
LowTargetHigh
2.853.133.47
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gan. Your research has to be compared to or analyzed against Gan's peers to derive any actionable benefits. When done correctly, Gan's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Gan.

Other Forecasting Options for Gan

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

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

Gan 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 Gan'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 Gan's current price.

Gan Market Strength Events

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

Gan Risk Indicators

The analysis of Gan'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 Gan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gan 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.
When determining whether Gan offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Gan's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Gan Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Gan Stock:
Check out Historical Fundamental Analysis of Gan to cross-verify your projections.
To learn how to invest in Gan Stock, please use our How to Invest in Gan guide.
You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Is Hotels, Restaurants & Leisure space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Gan. If investors know Gan will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Gan listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.77)
Earnings Share
(0.29)
Revenue Per Share
2.964
Quarterly Revenue Growth
0.244
Return On Assets
(0.07)
The market value of Gan is measured differently than its book value, which is the value of Gan that is recorded on the company's balance sheet. Investors also form their own opinion of Gan's value that differs from its market value or its book value, called intrinsic value, which is Gan'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 Gan's market value can be influenced by many factors that don't directly affect Gan'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 Gan's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gan'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.