Method and system for realizing quantitative trading in mobile computing device

Abstract

The invention discloses a method and a system for realizing quantitative trading in a mobile computing device, which relate to the field of information processing related to quantitative trading and solve the problems that the quantitative trading process through the mobile computing device in the prior art occupies too many system resources and a strategy input method is complicated. Through separating functions such as strategy construction and management from functions such as strategy compilation and execution with intensive computation, the computation pressure and the energy consumption of the mobile computing device can be effectively reduced, and the quantitative trading system can be deployed in the mobile computing device efficiently; besides, operation such as strategy module selection, parameter modification and combination connection is used for replacing complicated program code input, the technical threshold of a quantitative trading system user and rely on an input keyboard are reduced, and the user can convert a trading logic to a trading strategy without mastering a programming language; and the security of the trading strategy is enhanced, and the purpose of protecting an investor is achieved.

Description

technical field [0001] The invention relates to the field of information processing related to quantitative transactions, in particular to a method and system for realizing quantitative transactions on mobile computing devices. In this article, users refer to traders who build quantitative trading systems and use quantitative trading strategies to conduct historical backtesting, simulated trading or real trading of various financial investment targets, including: natural persons, external programs, etc. Background technique [0002] Quantitative trading refers to the investment and trading methods that systematize and model trading strategies in order to reduce the impact of investors' subjective emotions on investment judgments in financial investment fields such as stocks, bonds, futures, options, and foreign exchange. Under the framework of quantitative trading, a trading strategy represents the user's trading logic, which consists of a series of quantifiable trading sign...

AI Technical Summary

Problems solved by technology

However, although various quantitative trading systems in the industry provide a wealth of quantitative trading functions, they generally have high requirements for the computing power of the operating equipment, so it is difficult to apply to mobile computing devices with weak computing power and limited power capacity.

In addition, existing systems generally require users to input trading strategies through programming languages, and mobile computing devices often do not have input keyboards and are not suitable for large-scale input and modification of program codes. Here comes the obstacle

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