difference between crypto and digital currency Top Overview

Beware: At present, the risk of quantitative trading in the three hot sectors of consumption, robot and AI.Beware: At present, the risk of quantitative trading in the three hot sectors of consumption, robot and AI.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.

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.

In the current A-share market, consumption, robot and AI are undoubtedly the focus areas. With broad market prospects, strong policy support and the trend of scientific and technological development, they have attracted the attention of many investors. However, a phenomenon that cannot be ignored is quietly changing the investment ecology of these sectors, that is, the influx of quantitative funds.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.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.