In an era of innovation and change, information technology, engineering technology, the Internet, the Internet of Things and even the Internet of Things have changed people's food, clothing, housing, and transportation, and changed our lives.
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Nowadays, these technologies have gradually penetrated into the peak industry of intellectual games-the wealth management industry.
In the science fiction films of the last century, those clumsy robots are like a fantasy. In the era of rapid development, those images have now become antiques. It has become a reality to rent a robot to invest in financial management, but will there be a "robot" that is exactly the same as humans and has the ability to evolve, as in recent movies? Of course, the source of thought for quantitative investment is humans. , Quantitative investment in the era of cloud computing and big data has pushed the imagination of investment one step forward.
The biggest advantage of quantitative trading is that it reduces the impact of investor sentiment fluctuations and avoids making irrational investment decisions when the market is extremely fanatical or pessimistic. Therefore, quantitative investment uses modern statistics and mathematics to formulate an objective reference index. When the conditions are met, buying or selling without emotion will have a high probability of obtaining an above-average return.
Use quantitative models to verify and solidify these laws and strategies, and then strictly implement the solidified strategies to guide investment in order to obtain sustainable, stable, and above-average excess returns.
Quantitative exchanges and quantitative trading robots make people’s investments more rational. Created more possibilities for the market.
The complete system is concretely manifested as "three mores". First of all, it is manifested at multiple levels, including the three levels of asset allocation, industry selection, and selection of individual stocks. We have models; secondly, there are multiple perspectives. The core investment ideas of quantitative trading include macrocycles, market structure, valuation, and growth. , Earnings quality, analyst earnings forecasts, market sentiment, and many other angles; in addition, there is multiple data, which is the processing of massive data.
Quantitative trading is just looking for valuation depressions, through comprehensive and systematic scanning to capture the opportunities brought by mispricing and misvaluation.
Using advanced mathematical models to replace human subjective judgments, using computer technology to select various "high probability" events that can bring excess returns from huge historical data to formulate strategies, greatly reducing the impact of investor sentiment fluctuations. Avoid making irrational investment decisions when the market is extremely fanatical or pessimistic.
There is a large group of customers who are not interested in directly purchasing wealth management products and hope to participate in the process of their own wealth management through their securities and futures accounts, but they do not have much time to manage their accounts. The market needs a platform for strategy providers and financial planners who need to rent a strategy model so that they can trade; after financial planners rent a model, they also need a powerful model use environment to ensure the normal operation of the strategy. This is the era of cloud computing. Quantitative investment, the so-called "cloud trading".
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