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Algorithm Trading Opix Algo Pays Tribute To AlphaGo

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Algorithm Trading Opix Algo Pays Tribute To AlphaGo

November 01
13:05 2022

                 

The advent of the Big Data era has forced us to approach the financial markets in a completely new way, resulting in the creation of Opix Algo, which finds supply zones for foreign exchange by using data on market depth and market maker stock levels to trade in areas with deep quotation. 

Opix Algo uses Artificial Intelligence (AI) to optimise big data analytic, allow data to be elevated and introducing multi-dimensional data for decision making, improved composability, improved combination and diverse data sources to efficiently integrate and accelerate data analysis. Through machine learning, deep algorithms can be used to run accurate analyses even with small amounts of data.

AlphaGo and Opix Algo

Remember the ultimate challenge of the game of Go, which took place in Seoul, from 9 March to 15 March 2016? In a total of five rounds between man and machine, the representative of the human, the world champion of the game of Go, Lee Sedol, was unfortunately defeated by the Go artificial intelligence program AlphaGo. The result caused a huge stir in the field of artificial intelligence and sparked an in-depth study of the technology at the very heart of Alpha Go. In developing Opix Algo, we took inspiration from AlphaGo.

In deep neural network (DNN), AlphaGo evaluates the value of potential positions, while Opix Algo evaluates the investment value of various assets and assesses how each invested asset should be weighted. In terms of environmental factors AlphaGo analyses the opponent’s and its own moves, while Opix Algo analyses various information on market depth and market maker inventory. In terms of returns, Alpha Go analyses the probability of winning, while Opix Algo are analyses in terms of commission margin yields.

Parameters Optimization for Algorithmic Trading

Markets change, information changes, and the past does not represent the future. Back-testing quantitative strategies with historical data is a way of using past experience as a reference guide to uncover repetitive patterns that hold profit opportunities through interpretation of the past. Typical AI algorithmic trading attempts to ‘guess’ what will happen next in the market based on historical trends. The OpixTech team is known for creating extremely complex algorithms that can successfully solve problems without the need for large amounts of information, and OpixTech has always been committed to the idea that “Technology Changes Trading”. We believe that algorithmic trading does not require fixed parameter values, but rather a constant updating of strategy parameter values that are close to the optimal.

Media Contact
Company Name: Opix Technology
Contact Person: William Kennis
Email: Send Email
Country: Seychelles
Website: https://www.opixtech.com

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