Nowadays, there are many types of quantitative trading both domestically and internationally, including grid-type quantitative trading platforms. I frequently use state-owned monopoly stocks for systematic investment and systematic selling, which have a high yield. Since 2022, I have completed four rounds of trading, and so far, every round has been profitable. This is actually a kind of quantitative strategy, but its disadvantage is the long cycle; I can only invest one to two rounds a year. The strength of quantitative trading is overcoming personal greed and fear.
In today's rapidly changing financial market, quantitative trading, as a trading method based on mathematical models, statistical principles, and computer technology, has gradually become a force that cannot be ignored in the market. Quantitative trading not only changes the traditional trading model but also provides investors with a new perspective and tools to achieve more precise and efficient investment decisions. As the name suggests, quantitative trading involves using quantitative analysis methods, advanced mathematical and statistical models, combined with computer technology for investment decision-making. Unlike traditional qualitative trading, quantitative trading emphasizes the role of data, models, and algorithms to pursue stable and replicable investment returns.
The characteristics of quantitative trading are mainly reflected in the following aspects.
Efficiency: Quantitative trading automatically executes trading strategies through computer programs, avoiding human operational errors and emotional fluctuations, greatly improving the efficiency and accuracy of trading.
Objectivity: Quantitative trading is based on mathematical models and data analysis, unaffected by subjective judgments, allowing for an objective assessment of market conditions and trading opportunities.
Systematic: Quantitative trading is a systematic trading method that can comprehensively consider all aspects of the market, including technical analysis, fundamental analysis, and risk management.
Replicability: The strategies and models of quantitative trading can be written and implemented through programming languages, allowing other investors to replicate and apply them.
In quantitative trading, the formulation of investment strategies is the most important aspect. Although quantitative trading has many advantages, it also faces some risks and challenges. First, the success of quantitative trading largely depends on data quality and algorithm accuracy. In addition, quantitative trading requires investors to have strict risk management and capital management capabilities to cope with market fluctuations and potential risks.
The UPlus intelligent quantitative robot has three versions.
I期现AI Trading Robot
Conduct high-frequency hedging trades in a fully covered manner, avoiding liquidation and stop-loss. The monthly return is stable at 10%-60%. The risk is low, suitable for long-term large capital use.
II Contract AI Trading Robot
The comprehensive monthly return is stable at 20%-180%, covering single-sided market fluctuations by about 80%. Exceeding this range will trigger stop-loss, and liquidation occurs very rarely.
III Contract Lightning Version AI Trading Robot
Daily returns can reach 7%-30%, with risks of stop-loss and liquidation, and total returns can double in ten days. The maximum coverage of market fluctuations is about 40%.
Each strategy has its advantages and disadvantages. By fully understanding its pros and cons, leveraging the advantages, preventing the disadvantages, and testing repeatedly, one can find the best model.
As soon as I saw these three trading strategies, I immediately chose the third one: the lightning version quantitative strategy. The biggest Achilles' heel of all quantitative strategies is consecutive crashes. I planned to intervene after Bitcoin dropped about 10%, fully releasing the risk. After a month and a half of intervention, I immediately stopped the quantitative strategy. In the cryptocurrency market, bull markets often lead to crashes. I believe there will be many such opportunities in 2025.
The UPlus intelligent quantitative robot does not require manual setup. Floating losses will disappear within 1 to 3 months. This professional robot does not have greed or fear, is emotionless, tireless, and calculates accurately. The UPlus intelligent quantitative robot is merely an auxiliary tool, keeping all user funds in their own exchange accounts without touching user funds, thus preventing any harvesting or running away.
For the cryptocurrency market, 24 hours a day, 365 days a year, significant fluctuations are the norm, and quantitative trading has great potential in the crypto space. On one hand, with the continuous development of big data, artificial intelligence, and other technologies, quantitative trading will be able to capture market opportunities more accurately, improving trading efficiency and accuracy. On the other hand, the high-frequency trading of quantitative robots significantly increases the exchange's fee revenue. Exchanges often exaggerate transaction volume data to improve their global rankings, encourage quantitative trading, and provide interfaces for quantitative trading.
As an emerging trading method, quantitative trading is particularly suitable for the cryptocurrency market, especially for investors facing high trading fees. With its characteristics of efficiency, objectivity, systematic approach, and replicability, quantitative trading provides investors with a new perspective and tools to achieve more precise and efficient investment decisions.
From international experience, countries such as the United States, the European Union, Germany, Japan, and South Korea have all issued relevant rules and regulatory guidelines to manage quantitative trading, especially high-frequency quantitative trading, but have never prohibited it. The share of quantitative trading in the European and American markets has reached about 50%, becoming an important part of the ecosystem in these markets.
