Recently, I've seen more and more people talking about quantitative trading, and honestly, I'm a bit surprised. Most retail investors' so-called quantitative trading systems are just buying ready-made apps or code scripts from others. The logic behind these is actually very simple—if someone could truly do quantitative trading and consistently make money, even promise perpetual profits, why would they bother to sell this stuff? It's worth thinking about this question.

Taking Fantom Quant as an example, it's a well-known top-tier quantitative company in the industry. Does founder Liang Wenfeng sell quantitative systems to retail investors? No. Their external services are mainly asset management services, which are completely different approaches. This illustrates a phenomenon: truly successful quantitative trading institutions don't rely on selling tools to ordinary people to monetize.

So, what is quantitative trading? Simply put, it’s using mathematical models to drive trading strategies, automatically identifying opportunities, generating signals, and executing buy or sell orders through algorithms. The entire process is based on data and system decision-making, not subjective human judgment. It sounds sophisticated, but basically, it’s automated trading.

The core advantage of quantitative trading is that it can eliminate emotional interference, find patterns based on historical data, use statistical models to predict market behavior, and then strictly enforce risk control. Theoretically, it sounds perfect, but in practice, there's a fatal problem: all models are based on historical data. Once a black swan event occurs in the market, or if the strategy is over-optimized leading to "overfitting" (performing well historically but failing in real-time), the entire system could collapse.

What people call quantitative trading now is actually quite different from institutional-level quant trading. Retail investors mostly have access to automated trading tools with significantly lowered barriers—using ready-made platforms or bots, based on simple rules (like moving average crossovers, grid trading, and other basic indicators) to automatically generate trading signals. Calling it quantitative trading isn’t wrong, but in reality, it’s just an automation tool, not a complex mathematical model.

Compared to traditional trading, which relies on experience and intuition, quantitative trading is fully data-driven. In mature global markets, over 70% of trading is driven by algorithms, widely used by institutions, and retail investors can also get started through API tools. But this doesn’t mean retail investors can get rich just by using quantitative trading. The key to success still lies in strategy quality, data integrity, and continuous optimization—areas where most retail investors are lacking.

Honestly, I have to say that most so-called quantitative trading systems on the market are scams. But objectively speaking, if you can find reliable tools—like the built-in trading bots of major exchanges—they can indeed help you avoid emotional trading and psychological issues. These tools have practical value; just don’t treat them as secret recipes for getting rich.

A final piece of advice: don’t always think about taking shortcuts. If there were an easy method to get rich quickly, its creator would never reveal it easily. Blockchain opportunities are indeed plentiful, but the key is patience and discipline. Being steady and taking one step at a time is more effective than any quantitative tool. True wealth comes from persistent accumulation, not from fantasies of overnight riches.