Shulou(Shulou.com)06/03 Report--

This article mainly introduces "what are the reasons for building such a large flow of quantitative trading system". In daily operation, I believe that many people have doubts about the reasons for building such a large flow of quantitative trading system. The editor consulted all kinds of data and sorted out simple and easy-to-use operation methods. I hope it will be helpful for everyone to answer the doubts of "what are the reasons for building such a large flow of quantitative trading system?" Next, please follow the editor to study!

A set of good quantitative trading system should at least include transaction model construction module, risk control module, transaction cost analysis module, instruction execution module, strategy back test module, data collection module and data cleaning module. The quantitative trading system for fund products also needs to add a product monitoring module.

1. Software main interface, independent functional area

Select platform, set API, load variety; select position, number of varieties, risk type one-click setting; list parameters to view the detailed parameters and status of varieties in the transaction

2. Transaction parameter settings, individual settings and batch settings

Right-click on the line where the variety is located, open the transaction parameter setting window, and set multiple, rate, and stop profit. In the area above the main interface, you can set all variety trading parameters with one click according to position, variety quantity and risk type.

3. Buy log and sell log

Click the button to view detailed buy logs and sell logs; you can view all records and summary reports according to different currencies and different time periods

4. Manual trading can be carried out on the robot.

Open the manual trading window, you can buy or sell digital currency directly at the optimal market price. The adjustment of the number of currencies can be completed without opening the exchange

There are many kinds of quantitative trading, including cross-platform bricks, trend trading, hedging, triangulation, intertemporal and so on. Trend trading pays attention to conforming to the trend of the market, sending out sell and buy signals according to the indicators of the trend, increasing positions when the general trend is rising and reducing positions when the general trend is falling, thinking that this operation can go with the water and get twice the result with half the effort.

Hedging refers to the simultaneous conduct of two transactions related to the market, buying and selling in the opposite direction, the same number, and offsetting profits and losses, in order to achieve the effect of hedging risk.

Quantitative transaction has a high demand for big data's analysis and mining, while with the rapid development of computer science and the continuous updating and iteration of artificial intelligence, the quantitative strategy is more perfect. Therefore, quantitative investment is on this basis to enter the field of vision of investors, efficient models and algorithms, after the continuous revision of the market, continue to approach the high probability of returns.

First, quantitative trading greatly reduces the impact of investor mood fluctuations and effectively avoids investors from making irrational investment decisions under extreme fanaticism or pessimism in the market.

Second, program automation is more accurate, timely and efficient than manual operation, so it is more able to seize fleeting investment opportunities.

Third, at the same time, there is less supervision of the digital money market, and the quantitative strategy is more suitable for development.

Quantitative trading includes strategies, there are many global digital currency exchanges, the pricing of the same currency is different, and there is a price difference between different exchanges of the same trading pair, as long as there is a price difference.

Generally speaking, labor has a lot of uncertainties, such as long time, low accuracy, rapid price changes, etc., but seize the opportunity of arbitrage through quantitative models, formulate trading strategies, and automatically place orders to the exchange through programmed algorithms. it will be able to earn income efficiently and steadily, which is the reason why countless people are obsessed with quantification!

At this point, the study on "what are the reasons for building such a large amount of traffic in the quantitative trading system" is over. I hope to be able to solve everyone's doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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