JinkoSolar Holding (Germany) Probability of Future Stock Price Finishing Over 39.19
| ZJS1 Stock | 25.25 2.15 7.85% |
JinkoSolar |
JinkoSolar Holding Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of JinkoSolar Holding for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for JinkoSolar Holding can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| JinkoSolar Holding had very high historical volatility over the last 90 days |
JinkoSolar Holding Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of JinkoSolar Stock often depends not only on the future outlook of the current and potential JinkoSolar Holding's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. JinkoSolar Holding's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 190.8 M | |
| Short Long Term Debt | 25.4 B |
JinkoSolar Holding Technical Analysis
JinkoSolar Holding's future price can be derived by breaking down and analyzing its technical indicators over time. JinkoSolar Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of JinkoSolar Holding Co. In general, you should focus on analyzing JinkoSolar Stock price patterns and their correlations with different microeconomic environments and drivers.
JinkoSolar Holding Predictive Forecast Models
JinkoSolar Holding's time-series forecasting models is one of many JinkoSolar Holding's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary JinkoSolar Holding's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about JinkoSolar Holding
Checking the ongoing alerts about JinkoSolar Holding for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for JinkoSolar Holding help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| JinkoSolar Holding had very high historical volatility over the last 90 days |
Additional Tools for JinkoSolar Stock Analysis
When running JinkoSolar Holding's price analysis, check to measure JinkoSolar Holding's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy JinkoSolar Holding is operating at the current time. Most of JinkoSolar Holding's value examination focuses on studying past and present price action to predict the probability of JinkoSolar Holding's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move JinkoSolar Holding's price. Additionally, you may evaluate how the addition of JinkoSolar Holding to your portfolios can decrease your overall portfolio volatility.