I hate the word quantitative trading, but I have listened carefully to this course of Jinma, because many things are easy to be self-righteous when you don't understand. When I finished this lesson, I found that I was still a little self-righteous.

I think many people, like me, think that quantitative trading is to use very advanced software, high frequency, to get the spread. Actually, it's not. The essence of quantitative trading is to establish a concise mathematical model through past experience, and then test it with a small amount of money. After the test is passed (test procedure is required), it can be operated with relatively large funds.

The following is the most critical: the mathematical model can be complex or simple. It's like investors have their own profit ideas, and they organize their ideas into models, some simple and some complicated. The point here is to use a mathematical model, not the imagination of the human brain.

Transactions can be automatic or manual. Actually, that's not the point Manual trading is also quantitative trading.

The biggest difference between quantitative trading and manual trading is that quantitative trading can run 24 hours as long as the program is set. Moreover, people sometimes want to sleep and have fun, and may miss the prime time of trading, which is the biggest advantage of trading.

Varieties with price curves can be quantitatively traded, not only stocks, futures, but also blockchains, such as real estate, but the cycle may be a bit long, so it is essentially the same to upgrade various assets with great differences to a mathematical level, that is, fluctuation curves, and sometimes the curves are partially repeated.

After learning this lesson, I got several big gains.

First, even if quantitative trading is not used, the exchanges we choose must be among the top three and five in the world, because the mainstream exchanges can stick to the end and will not run away. Mainstream exchanges are easier to trade because they are deep enough.

Second, quantitative trading must have enough experience and a lot of training, and must not use leverage.

Third, quantitative trading also needs enough experience and data to sum up a set of algorithms, and different currencies will be very different. In fact, quantitative trading is an idea, and it is not necessary to use it. How advanced computers and models you can usually make a lot of summaries. As long as this summary is valid, this is your own quantitative trading formula or model.