Setting up an algorithm for stock market trading strategies

Гилян Васильевна Федотова, Анастасия Александровна Ермакова, Д. А. Куразова
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引用次数: 2

Abstract

Subject The stock market is one of the best financial mechanisms for unleashing investment in the national economy. The article reviews today's path for Russia's stock market development over the last 10 years, and provides an insight into algorithmic trading and analyzes the effectiveness of trading robot. Objectives The research evaluates technological development of the stock market and points out algorithmic trading prospects. The article sets and consistently addresses such goals as an analysis of the extent to which trading on the Russian stock market has been converted into a certain algorithm, existing global economic situation of the previous years, methods for trading robot construction and operation, testing of the trading robot, and performance results seen in the Moscow Stock Exchange, and forecast the algorithmic trading development. Methods The article involves methods of comparative analysis, moving average, systematization, classification, analogy, collation. Results The article comprehensively overviews algorithmic trading in the Russian stock market over the previous years. We also assess indicators of the current return on algorithmic trading process, illustrating the designed trading robot. Conclusions This research presents a practical value since if investment mechanisms are refocused on the innovative development path, it will dissolve the dependence on oil prices.
建立股票市场交易策略的算法
股票市场是释放国民经济投资的最佳金融机制之一。本文回顾了过去10年俄罗斯股市发展的道路,并提供了对算法交易的见解,并分析了交易机器人的有效性。目的评价股票市场的技术发展,指出算法交易的前景。本文设定并始终围绕分析俄罗斯股票市场交易转化为某种算法的程度、前几年全球现有经济形势、交易机器人的构建和操作方法、交易机器人的测试以及在莫斯科证券交易所看到的业绩结果等目标,并预测算法交易的发展。方法采用比较分析法、移动平均法、系统化法、分类法、类比法、整理法。结果本文全面概述了前几年俄罗斯股票市场的算法交易。我们还评估了算法交易过程的当前回报指标,说明了设计的交易机器人。如果投资机制重新聚焦于创新发展路径,将有助于消除对油价的依赖,本研究具有实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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