3EX AI交易VS量化交易：AI与策略的碰撞

The introduction of trading redefines the trading mode, which is attracting more and more attention. Compared with traditional quantitative trading, there are significant differences in the generation of trading strategies, real-time analysis of data and the threshold of use. Please see the following analysis of the generation of the first round strategy. The trading adopts natural language processing and machine learning technology, and users can build trading strategies by chatting, which means that even if users don't know how to program, they can do so through simple dialogue. In this way, the generation of trading strategies is no longer limited to professional programmers. In contrast, traditional quantitative trading usually needs to write complex algorithms and codes, which requires professional programming skills and mathematical knowledge. Quantitative traders usually write scripts to implement predefined strategies, which limits the participation of non-technical traders in the second round of data analysis and decision-making transactions to some extent. Market data identify trends and patterns, and make decisions that can automatically learn and adapt to market changes, thus providing more accurate trading signals. This method improves the accuracy of trading decisions through the intelligence of machines. Quantitative trading also depends on data analysis, but it usually requires quantitative traders to manually design and optimize strategies. Although quantitative traders can use data to make decisions, they may be more susceptible to subjective emotions than they are. The third round of real-time and automated trading system is real-time all day. The automatic execution of trading strategy can continuously participate in the market to capture more trading opportunities for users, and quantify the trading. In the case of extreme market or complex market changes, traders need to manually intervene to update the strategy or deal with abnormal situations. The use threshold and popularity of the fourth round are easier for a wide range of investors to use because they do not need programming skills, even people without professional knowledge can participate, which lowers the use threshold. Traditional quantitative trading needs higher. Technical threshold usually only professionals or people with programming experience can benefit from it. The emergence of trading enables more investors to participate in the financial market, and at the same time improves the intelligence and automation of trading decision-making. It is considered as a revolution in the field of financial trading and is expected to reshape the pattern of future financial markets. 比特币今日价格行情网_okx交易所app_永续合约_比特币怎么买卖交易_虚拟币交易所平台

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