After the explanation in the last section, you must understand the importance of long-term stable income. However, it is futile to shout in theory and fail in practice. Most people are not talented investors like Buffett, so how can we get long-term stable returns in the stock market war? Behavioral finance point of view: bounded rational behavioral finance rose in modern times, thinking that investors are not completely rational as predicted by traditional theoretical models. Many investors are limited and rational because they are influenced by irrelevant information when making decisions. The existence of investor's emotion and cognitive deviation makes it impossible for investment to achieve rational expectation, risk avoidance and maximization of expected utility, which leads to market inefficiency and asset prices deviating from value. The bounded rationality proposed by behavioral finance is especially suitable for small and medium investors. Retail investors face the constraints of time, energy, information and experience in the investment process, and their rational thinking and judgment are very limited, which determines that the investment risks undertaken by retail investors in the investment process are greater than those of major investors such as institutions, and the probability of losses is far greater than that of major investors with information and capital advantages. On its own, Zhao Zilong can get in and out of Cao Ying in Changbanpo unscathed, and investors may be able to do it occasionally. But if he is such a lonely hero every day, Zhao Zilong will be exhausted even if he is not killed. How should small and medium-sized investors who are doomed to be in a weak position for a long time get rid of this helpless and embarrassing situation? We focus on quantitative investment methods and stylized transactions. Quantitative investment model and stylized trading is a huge and complex system engineering, which requires a lot of time, energy and information to make relatively reasonable judgments and decisions, which small and medium investors lack. Under such preconditions, investment decision-making is likely to be blind and full of uncertainty, so it also has great risks. Obviously, this will not help us to obtain long-term stable income. Remember the example of James 6 1 Simmons in the last section? He captures trading opportunities in the market through the computer trading system. This is a typical case of obtaining rich investment returns through quantitative investment methods and stylized transactions. Don't think that Simmons has more "inside information" than others (because it is too risky to do so under the strict supervision of the United States), and don't think that he is in charge of strong financial strength (in the capital market of the United States, the scale of hedge funds is far less than that of other institutions such as pension funds). Simmons, who has neither information advantage nor capital advantage, has realized quantitative investment mode and stylized transaction through mathematical modeling, thus standing at the peak of investors. Therefore, only through quantitative investment methods and stylized trading methods can the investment behavior be based on clear and quantifiable operations, and its risks and benefits can be balanced, thus generating stable long-term benefits. Throughout the domestic market, there are very few trading software that truly realize quantitative investment methods and stylized transactions. Most trading software can provide historical data and real-time market, and advanced software can provide various trading points. However, such trading points (so-called B/S points) are often contradictory, and once the market changes, it will immediately lose its function. What retail investors need is not a simple software to generate trading points according to certain technical indicators, but a set of solid investment theories as the basis, which can truly realize quantitative investment. The investment decision-making problems faced by retail investors can be summarized as: when to buy, when to sell, what to buy, what to sell, how to sell how much to buy, and how to control positions and investment varieties within the existing principal range. The best B/S point software can only solve the first two problems occasionally, and the latter problems are completely left to helpless retail investors. When the software sends a buy signal and the market position is at an all-time high, you should make a decision. Should I buy one or several to match each other? If these problems are not solved, investment decision-making is blind, and the blind consequence is often loss. A trading system that truly realizes quantitative investment and stylized trading should not only send out buying and selling signals, but also perform well in fund management, investment variety matching and automatic stop loss and profit taking. The common problems faced by many retail investors mentioned in the first section of this chapter should be avoided and solved through such a trading system. Only in this way can the investment decisions made through such a system be reassuring and the investment concept of long-term stable income can be truly realized. This book aims to help investors find a way to achieve long-term stable income through quantitative investment and stylized trading. In the following contents of this book, we will show you the latest research results: product integration theory and product integration trading system developed on the basis of this theory. Through a lot of rigorous testing work, we confirm that the anti-product trading system can solve the investment decision-making problems faced by the above investors. The specific theoretical content and system display will be shown in detail in the following part of this book. Sohu Securities statement: The information in this channel is quoted from cooperative media and cooperative institutions, and does not represent Sohu Securities' own views and positions. Investors are advised to judge this information carefully and enter the market accordingly at their own risk. [Let me say something]