Now the developed city of Beishangguang has begun to use big data for fund operation. Moreover, the threshold is very high, and students with bachelor degree or above in finance and computer science must be selected.
Visible big data, the strength of development. Many people don't know how to use big data for stock trading. Let's talk about it briefly here. Nowadays, many brokerage software supports automatic trading of big data. In other words, when you write down your expected strategy, the program will execute it according to your strategy and automatically complete the transaction. James simons, whose reputation is second only to Buffett, is the pioneer of big data quantitative trading. The medal fund under his name is based on big data quantitative transactions.
Big data quantitative transactions can be realized. Hundreds of times a day, as long as the funds allow. This is also the reason why developed cities pay attention to research. And big data is the future trend. In the analysis of market heat, computer is better than manual identification. But as far as a single transaction is concerned, manual work is definitely better than computers, but judging from the current scale of funds. Computer transactions are the main trend. No matter how powerful a fund manager is, his energy is limited.
At present, big data is written in python as the main language. If you are interested, you can look at related learning. The funds for automatic trading of securities firms are generally 5w threshold.
The above is "What is a big data quantitative transaction?" What is the status quo of big data quantitative transactions? "I hope it will help you. With the development of the market. The big data quantitative trade fair will gradually become popular.