Recently, the U.S. stock market has boiled over, the global market is down, shareholders are suffering, but there is one group that is not so painful: the quantitative traders, whose automated strategies have avoided most of their losses. If it wasn't for the nearly six months of learning about quantitative trading, I might have been lost in the sea of manual trading. Time goes back to five years ago, when I started trading under the guidance of a friend, and I first tasted the bitterness and bitterness of the market, the excitement of profits after profits with computer calculations, the despair of crying after losses, every day on the verge of life and death, relying on the so-called Enlightenment god's constantly sending heads in this market. One chance encounter, I saw online that 70% of the US market is transacted through quantitative trading, I've never heard of quantitative trading before, and I'm not familiar with computers. So I searched Baidu for quantitative trading. The original idea of quantitative trading was to teach your trading strategy to your computer and let the computer help you execute. This saved me a lot of time and energy. Most importantly, computers can be free of mindset, unconditional execution is also a pre-set strategy. In order to make it easier for you to learn about quantitative trading, I've put together my own process for learning about quantitative trading: 1. Understand the basic architecture of the entire platform, understand the logical relationships between the physical platform, the exchange, the custodian. 2, search some web resources to learn the basics of python, later in the inventor API documentation also about the overview of the basics of python. 3) Learn how to use various function calls in the inventor's API documentation, which is something that other platforms cannot compare to the inventor's platform, because the inventor's platform encapsulates many functions about transactions, which we only need to use for direct use with a simple call. 4, In-depth study on the sharing of the various road gods in Strategy Square, learn their trading ideas. 5, combine their trading skills accumulated over many years of experience in the market, write their own trading strategy, retest, real-time, artificial selection. 6, Basically achieving stable profitability. Looking back now, I am one of the lucky ones, after all, to have achieved a stable profit in the time of 5 years of quantitative trading plus holding is also one of the fastest among the group of traders, and I am confident in the future trading journey to continue my enthusiasm for learning, to explore trading further. Further reducing the risk of strategies, to develop more universal quantitative strategies. Recently I have met with the opinion, the study of opinion gave me a deeper understanding of trading, I think that opinion is the qualitative concept of mathematical thinking, because all current trading behavior is based on a unified level of three selling points.
The grassThank you for sharing.