Recently, the U.S. stock market has boiled over, global markets are down, shareholders are in pain, but there is one group that is not as painful, and that is the quantitative traders, whose automated strategies have avoided losses for most of them. If it had not been for the almost six months of learning about quantitative trading, I would have been immersed in a long losing sea of manual trading. It can be said that quantitative trading has reshaped my trading career and set a clear direction for my future trading path. Time goes back to five years ago, when I started trading under the guidance of a friend, I first got to taste the sour-sweet 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 cries in this market. One chance encounter, I saw online that 70% of the US market is transacted through quantitative trading, I had never heard of quantitative trading before, and I am not familiar with computers. So I searched Baidu for the relevant knowledge of quantitative trading. Quantified trading is basically teaching your trading strategies to the computer and letting the computer help you execute. This person saves time on the trading table and saves me a lot of energy. Most importantly, the computer can be free of mindset and unconditional execution is also a pre-established tactic. In order to make it easier for you to learn how to quantify transactions, I've put together my own process for learning how to quantify transactions: 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 the trading skills accumulated over many years of experience in the market, write your own trading strategy, retesting, real-time, artificial selection. 6, Basically achieving stable profitability. Looking back now, I am one of the lucky ones, after all, to have achieved stable profits in the time of 5 years of quantitative trading and to be one of the fastest in the group of traders, I am also confident in the future trading journey to continue to maintain my enthusiasm for learning, to explore the trade 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.
The grassThank you for sharing.