crypto to crypto exchange, Overview

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

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

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.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.