多重交易原则

Феликс Освальдович Каспаринский
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引用次数: 2

摘要

现代软件和硬件工具为外汇市场的各种活动提供了前所未有的自由,从交易到分析自组织系统中非线性过程模型的可行性。为了降低风险,提高与股票市场工具交互的效率,提出了利用不同经纪商的多个交易账户、多种金融工具和价格变化的复杂指标趋势组合交易策略,提供交易的可变适应性。经过三年的试点工作,制定和检验了多元交易的基本原则,构建了信息环境,促进了个性化交易系统的发展。组织多交易信息环境的基本概念:使用专门的硬件和软件系统对单个金融工具的价格变化进行战略分析和预测,从可用的金融工具中策略性地选择有前景的金融工具,以及与交易账户订单一起进行有效的操作活动。可以预期,多重交易原理的演变将导致分析系统的创建,用于预测自组织合作系统特征参数的非平衡变化动力学,广泛应用于生物学、控制论、经济学和社会领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Principles of Multitrading
Modern software and hardware tools provide unprecedented freedom for a variety of activities in the forex markets, from trading to analyzing the feasibility of models of nonlinear processes in self-organizing systems. To reduce risks and increase the efficiency of interaction with stock market instruments, it is proposed to provide variable adaptability of trading by combining trading strategies using several trading accounts of different brokers, multiple financial instruments, and Complex Indicators Tendencies of price changes. As a result of three years of experimental work, the basic principles of multitrading have been formulated and tested, and an information environment has been compiled, contributing to the development of an individualized trading system. The basic concept of organizing a multitrading information environment: the use of specialized hardware and software systems for strategic analysis and forecasting of price changes for an individual financial instrument, tactical selection of a promising financial instrument from the available set, and effective operating activities with orders of trading accounts. It can be expected that the evolution of the principles of multitrading will lead to the creation of analytical systems for predicting the kinetics of non-equilibrium changes in the characteristic parameters of self-organizing cooperative systems for wide application in biology, cybernetics, economics, and the social sphere.
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