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For the robot and AI sectors, due to their high-tech attributes and novelty of concepts, news such as related technological breakthroughs, favorable policies or strategic layout of industry giants will become speculation materials for quantifying funds. Once there is any trouble, quantitative funds will flock, causing large fluctuations in stock prices in a short time. Taking the AI sector as an example, if a small AI company announces its intention to cooperate with a large technology company, its share price may be boosted by quantitative funds in an instant, but the actual effect and long-term impact of cooperation are not yet known.Therefore, for the majority of retail investors, they must be highly cautious when participating in investment in consumption, robotics and AI sectors. When the holding stocks show signs of decline, we must not blindly take chances and expect the stock price to rebound. Decisive clearance may be a painful but wise choice, otherwise it is likely to become a "dish meal" of quantitative funds and suffer heavy losses in the violent fluctuations of the market. In the process of investment, retail investors should pay more attention to the in-depth study of the company's fundamentals and look for enterprises with long-term stable growth potential and real core competitiveness, instead of blindly chasing short-term hot spots hyped up by quantitative funds. Only in this way can we better protect our assets and achieve a steady return on investment in the challenging A stock market, especially in the investment of these three high-risk sectors.Quantitative capital, with its advanced algorithm model and high-speed transaction execution system, occupies a unique advantage in the market. In the consumer, robot and AI sectors, they can quickly analyze and process massive data and capture tiny price fluctuations and changes in market trends. For example, in the consumer sector, the quantitative program can monitor the sales data of various consumer goods, changes in consumer preferences and other information in real time, and quickly convert them into trading instructions. When a consumer stock has short-term performance growth expectations or market hot events, quantitative funds will be quickly bought in large quantities, pushing the stock price to rise rapidly. This kind of rise is often not based on the company's long-term intrinsic value, but more on a short-term trading opportunity.

For the robot and AI sectors, due to their high-tech attributes and novelty of concepts, news such as related technological breakthroughs, favorable policies or strategic layout of industry giants will become speculation materials for quantifying funds. Once there is any trouble, quantitative funds will flock, causing large fluctuations in stock prices in a short time. Taking the AI sector as an example, if a small AI company announces its intention to cooperate with a large technology company, its share price may be boosted by quantitative funds in an instant, but the actual effect and long-term impact of cooperation are not yet known.Quantitative capital, with its advanced algorithm model and high-speed transaction execution system, occupies a unique advantage in the market. In the consumer, robot and AI sectors, they can quickly analyze and process massive data and capture tiny price fluctuations and changes in market trends. For example, in the consumer sector, the quantitative program can monitor the sales data of various consumer goods, changes in consumer preferences and other information in real time, and quickly convert them into trading instructions. When a consumer stock has short-term performance growth expectations or market hot events, quantitative funds will be quickly bought in large quantities, pushing the stock price to rise rapidly. This kind of rise is often not based on the company's long-term intrinsic value, but more on a short-term trading opportunity.For the robot and AI sectors, due to their high-tech attributes and novelty of concepts, news such as related technological breakthroughs, favorable policies or strategic layout of industry giants will become speculation materials for quantifying funds. Once there is any trouble, quantitative funds will flock, causing large fluctuations in stock prices in a short time. Taking the AI sector as an example, if a small AI company announces its intention to cooperate with a large technology company, its share price may be boosted by quantitative funds in an instant, but the actual effect and long-term impact of cooperation are not yet known.

This situation in which a large amount of quantitative funds are flooded has brought great risks to retail investors. Because of the high trading frequency, large scale and quick response of quantitative funds, it is difficult for retail investors to gain the upper hand in the game with them. When retail investors see a sharp rise in stock prices and follow suit, they may often be in the stage of quantifying the shipment of funds. Once the stock price turns down, due to the lack of quick response and stop-loss mechanism like quantitative funds, retail investors can easily fall into a deep trap.Quantitative capital, with its advanced algorithm model and high-speed transaction execution system, occupies a unique advantage in the market. In the consumer, robot and AI sectors, they can quickly analyze and process massive data and capture tiny price fluctuations and changes in market trends. For example, in the consumer sector, the quantitative program can monitor the sales data of various consumer goods, changes in consumer preferences and other information in real time, and quickly convert them into trading instructions. When a consumer stock has short-term performance growth expectations or market hot events, quantitative funds will be quickly bought in large quantities, pushing the stock price to rise rapidly. This kind of rise is often not based on the company's long-term intrinsic value, but more on a short-term trading opportunity.