Kandi Technologies Stock Forecast - Polynomial Regression

KNDI Stock  USD 1.22  0.07  6.09%   
The Polynomial Regression forecasted value of Kandi Technologies Group on the next trading day is expected to be 1.12 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.59. Kandi Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Kandi Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of now, Kandi Technologies' Asset Turnover is decreasing as compared to previous years. . The current Common Stock Shares Outstanding is estimated to decrease to about 44.1 M. The Kandi Technologies' current Net Loss is estimated to increase to about (10.4 M).
Kandi Technologies polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Kandi Technologies Group as well as the accuracy indicators are determined from the period prices.

Kandi Technologies Polynomial Regression Price Forecast For the 24th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Kandi Technologies Group on the next trading day is expected to be 1.12 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.59.
Please note that although there have been many attempts to predict Kandi 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 Kandi Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kandi Technologies Stock Forecast Pattern

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Kandi Technologies Forecasted Value

In the context of forecasting Kandi Technologies' 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. Kandi Technologies' downside and upside margins for the forecasting period are 0.01 and 5.84, respectively. We have considered Kandi Technologies' 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
1.22
1.12
Expected Value
5.84
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Kandi Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Kandi Technologies 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 Criteria115.2264
BiasArithmetic mean of the errors None
MADMean absolute deviation0.074
MAPEMean absolute percentage error0.047
SAESum of the absolute errors4.5875
A single variable polynomial regression model attempts to put a curve through the Kandi Technologies historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Kandi Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kandi Technologies. 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 Kandi Technologies' 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
0.061.296.03
Details
Intrinsic
Valuation
LowRealHigh
0.112.146.88
Details
0 Analysts
Consensus
LowTargetHigh
4.555.005.55
Details

Other Forecasting Options for Kandi Technologies

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

View Kandi Technologies Related Equities

 Risk & Return  Correlation

Kandi Technologies 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 Kandi Technologies' 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 Kandi Technologies' current price.

Kandi Technologies Market Strength Events

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

Kandi Technologies Risk Indicators

The analysis of Kandi Technologies' 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 Kandi Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kandi 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 Kandi Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Kandi Technologies' 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 Kandi Technologies Group Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Kandi Technologies Group Stock:
Check out Historical Fundamental Analysis of Kandi Technologies to cross-verify your projections.
You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Is Automotive Parts & Equipment 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 Kandi Technologies. If investors know Kandi 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 Kandi Technologies 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
(0.60)
Earnings Share
(0.08)
Revenue Per Share
1.466
Quarterly Revenue Growth
0.089
Return On Assets
(0.02)
The market value of Kandi Technologies is measured differently than its book value, which is the value of Kandi that is recorded on the company's balance sheet. Investors also form their own opinion of Kandi Technologies' value that differs from its market value or its book value, called intrinsic value, which is Kandi Technologies' 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 Kandi Technologies' market value can be influenced by many factors that don't directly affect Kandi Technologies' 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 Kandi Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Kandi Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Kandi Technologies' 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.