Bitfinexen：Are quantitative trading robots a tool or an end?

 Bitfinexen：Are quantitative trading robots a tool or an end?

In fact, quantitative investment has always been understood from two perspectives. One is that quantitative tools themselves can generate profit factors, and the other is that quantitative trading is just a transaction execution tool.

So the first thing to clarify is, should a quantitative trading robot be seen as a tool, or an end?

If it is a tool, then quantitative trading is just a means, and the means serve the idea. Whether you can make good use of it depends on whether you can translate your investment ideas into trading rules in a completely clear way.

If it is an end, then quantitative trading is not purely a means. It can choose the optimal decision by itself according to market changes, similar to deep learning and algorithmic trading.

Generally speaking, the more pragmatic concept of quantitative trading is that quantitative trading should be used as a tool. Quantification is just to regularize and clarify strategic thinking, increase your ability to measure the relationship between factors, and reduce your emotional impact in real trading. It is your scaffolding, but not your brain.

Most investors in the current investment market are subjective trading types. However, the investment performance of subjective trading is often indistinguishable in terms of attribution, whether it is a matter of logic or a matter of luck.

Why are there so many leeks in the investment market? Investment perception is one aspect, and attribution error is another important aspect.

Quantitative trading is to purify investment ideas and trading experience and convert them into an operating manual. If it is wrong, the source can be found logically. If you are right, you know where you are right. Only with accurate attribution can you control your trading performance and, in turn, optimize and improve your trading strategy.

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