CASTECH Full Year 2023 Earnings Misses Expectations - Simply Wall St
301216 Stock | 9.71 0.03 0.31% |
About 62% of Wankai New's investor base is looking to short. The analysis of overall sentiment of trading Wankai New Materials stock suggests that many investors are alarmed at this time. The current market sentiment, together with Wankai New's historical and current headlines, can help investors time the market. In addition, many technical investors use Wankai New Materials stock news signals to limit their universe of possible portfolio assets.
Wankai |
CASTECH Full Year 2023 Earnings Misses Expectations Simply Wall St
Read at news.google.com
Wankai New Fundamental Analysis
We analyze Wankai New's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Wankai New using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Wankai New based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Gross Profit
Gross Profit Comparative Analysis
Wankai New is currently under evaluation in gross profit category among its peers. Gross Profit is the most basic measure of business operational efficiency. It is simply the difference between sales revenue and the cost associated with making a product or providing a service. It is calculated before deducting administrative expenses, taxes, and interest payments.
Wankai New Materials Potential Pair-trading
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 Wankai New stock to make a market-neutral strategy. Peer analysis of Wankai New could also be used in its relative valuation, which is a method of valuing Wankai New by comparing valuation metrics with similar companies.
Peers
Wankai New Related Equities
002231 | Allwin Telecommunicatio | 2.99 | ||||
300322 | Huizhou Speed | 2.27 | ||||
002534 | Xizi Clean | 0.83 | ||||
300555 | Lootom Telcovideo | 0.69 | ||||
001299 | Shaanxi Meineng | 2.25 | ||||
600368 | Guangxi Wuzhou | 3.33 |
Complementary Tools for Wankai Stock analysis
When running Wankai New's price analysis, check to measure Wankai New'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 Wankai New is operating at the current time. Most of Wankai New's value examination focuses on studying past and present price action to predict the probability of Wankai New's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wankai New's price. Additionally, you may evaluate how the addition of Wankai New to your portfolios can decrease your overall portfolio volatility.
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |