Ganfeng Lithium Stock Forecast - 8 Period Moving Average

39EA Stock  EUR 2.72  0.01  0.37%   
The 8 Period Moving Average forecasted value of Ganfeng Lithium Co on the next trading day is expected to be 2.80 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 9.70. Ganfeng Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Ganfeng Lithium's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for Ganfeng Lithium is based on an artificially constructed time series of Ganfeng Lithium daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Ganfeng Lithium 8 Period Moving Average Price Forecast For the 14th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of Ganfeng Lithium Co on the next trading day is expected to be 2.80 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.06, and the sum of the absolute errors of 9.70.
Please note that although there have been many attempts to predict Ganfeng 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 Ganfeng Lithium's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ganfeng Lithium Stock Forecast Pattern

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Ganfeng Lithium Forecasted Value

In the context of forecasting Ganfeng Lithium'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. Ganfeng Lithium's downside and upside margins for the forecasting period are 0.03 and 8.19, respectively. We have considered Ganfeng Lithium'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
2.72
2.80
Expected Value
8.19
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Ganfeng Lithium stock data series using in forecasting. Note that when a statistical model is used to represent Ganfeng Lithium 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 Criteria100.5453
BiasArithmetic mean of the errors -0.0416
MADMean absolute deviation0.1829
MAPEMean absolute percentage error0.0668
SAESum of the absolute errors9.6963
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. Ganfeng Lithium Co 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Ganfeng Lithium

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ganfeng Lithium. 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
0.142.728.10
Details
Intrinsic
Valuation
LowRealHigh
0.112.237.61
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Ganfeng Lithium. Your research has to be compared to or analyzed against Ganfeng Lithium's peers to derive any actionable benefits. When done correctly, Ganfeng Lithium'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 Ganfeng Lithium.

Other Forecasting Options for Ganfeng Lithium

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

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

Ganfeng Lithium 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 Ganfeng Lithium'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 Ganfeng Lithium's current price.

Ganfeng Lithium Market Strength Events

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

Ganfeng Lithium Risk Indicators

The analysis of Ganfeng Lithium'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 Ganfeng Lithium's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ganfeng 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 Ganfeng Stock

Ganfeng Lithium financial ratios help investors to determine whether Ganfeng 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 Ganfeng with respect to the benefits of owning Ganfeng Lithium security.