Programmers lose 28% in one year's stock trading, and do quantitative trading to prepare for a turnaround

Here's the thing, the big A has fallen very badly recently, and the 3,000-point defense battle has been launched again. As an investor, I am deeply affected! This year's loss has reached -28%, sad!

So I summed up the reason for my loss: Emotional!

The reason why people lose money is largely related to emotions. For example, if you pick up 100 yuan in the morning and lose 100 yuan in the afternoon, at this time, people often feel more sad than joy. If it is a machine, it will not be like this. It is very simple to command that money is greater than 0 to be happy, money less than 0 to be sad, and money equal to 0 to be calm. In the end, the feelings of the machine are calm, while the feelings of people are sad.

So I decided to make a quantitative software to help me improve my win rate.

Then I grabbed the stock data, wrote my own quantitative strategy, back-tested through historical data, tested half a year's data, and increased the rate of return to 90%. The figure below is the simulation result of the software.

I plan to record the real market every day to verify the availability of the strategy. You can follow my Douyin account, and I will improve my software and trading strategy step by step! If the real disk effect is OK, the software will also be deployed online for everyone to use.