Cheche Group Stock Forecast - Triple Exponential Smoothing

CCG Stock   0.87  0.03  3.33%   
The Triple Exponential Smoothing forecasted value of Cheche Group Class on the next trading day is expected to be 0.87 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.33. Cheche Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Cheche Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The current Inventory Turnover is estimated to decrease to 123.22. The current Payables Turnover is estimated to decrease to 8.09. The current Common Stock Shares Outstanding is estimated to decrease to about 37.3 M.
Triple exponential smoothing for Cheche Group - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Cheche Group prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Cheche Group price movement. However, neither of these exponential smoothing models address any seasonality of Cheche Group Class.

Cheche Group Triple Exponential Smoothing Price Forecast For the 26th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Cheche Group Class on the next trading day is expected to be 0.87 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.33.
Please note that although there have been many attempts to predict Cheche 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 Cheche Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cheche Group Stock Forecast Pattern

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Cheche Group Forecasted Value

In the context of forecasting Cheche Group'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. Cheche Group's downside and upside margins for the forecasting period are 0.01 and 7.58, respectively. We have considered Cheche Group'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
0.87
0.87
Expected Value
7.58
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Cheche Group stock data series using in forecasting. Note that when a statistical model is used to represent Cheche Group 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0088
MADMean absolute deviation0.0394
MAPEMean absolute percentage error0.049
SAESum of the absolute errors2.3266
As with simple exponential smoothing, in triple exponential smoothing models past Cheche Group observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Cheche Group Class observations.

Predictive Modules for Cheche Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cheche Group Class. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cheche Group's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.040.877.53
Details
Intrinsic
Valuation
LowRealHigh
0.061.247.90
Details
1 Analysts
Consensus
LowTargetHigh
2.282.502.78
Details

Other Forecasting Options for Cheche Group

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

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

Cheche Group Class 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 Cheche Group'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 Cheche Group's current price.

Cheche Group Market Strength Events

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

Cheche Group Risk Indicators

The analysis of Cheche Group'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 Cheche Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cheche 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.

Currently Active Assets on Macroaxis

When determining whether Cheche Group Class is a strong investment it is important to analyze Cheche Group's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Cheche Group's future performance. For an informed investment choice regarding Cheche Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Cheche Group to cross-verify your projections.
You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Is Insurance Brokers 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 Cheche Group. If investors know Cheche 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 Cheche Group listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(1.43)
Revenue Per Share
49.558
Quarterly Revenue Growth
0.025
Return On Assets
(0.11)
Return On Equity
(0.46)
The market value of Cheche Group Class is measured differently than its book value, which is the value of Cheche that is recorded on the company's balance sheet. Investors also form their own opinion of Cheche Group's value that differs from its market value or its book value, called intrinsic value, which is Cheche Group'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 Cheche Group's market value can be influenced by many factors that don't directly affect Cheche Group'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 Cheche Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cheche Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cheche Group'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.