Kei Sanada / Profile
"Kei Sanada" is my internet alias. My hobby is algorithmic trading in the FOREX market, Quantopian.
Profession
Information technology consultant
・Gained experience in all processes in system development, proposal, requirement definition, conceptual/detail design, build/test, and maintenance.
・Assigned to CRM section of consulting farm from September 2002. Participated in the proposal and design/development of SFA/CRM systems.
・Worked on projects for the government, chemistry maker, precision apparatus maker, communication business, and finance business.
Sales
・Gained experience in corporate sales, existing customers, and prospects, as well as the development of new products.
・Created knowledge database of sales tools.
Internal IT System Dept.
・Internal IT System planning, development, operation and maintenance
http://yury-reshetov.com/
Automated Trading System "Сombo"
https://www.mql5.com/ru/code/7917
The ATS is based on the classical trend-following strategy and a double-layer neural network taught in to enter the market against the trend.
ニューラルネットワークとパーセプトロン
http://kazoo04.hatenablog.com/entry/agi-ac-15
単純パーセプトロンの解説・実装
http://qiita.com/murataR/items/74a3a89ffcccb688d71f
Sockets… What in our IT world could possibly exist without them? Dating back to 1982, and hardly changed up to the present time, they smoothly work for us every second. This is the foundation of network, the nerve endings of the Matrix we all live in.
http://www.forexfactory.com/showthread.php?p=8750896
The article describes the application of text files for storing dynamic objects, arrays and other variables used as properties of Expert Advisors, indicators and scripts. The files serve as a convenient addition to the functionality of standard tools offered by MQL languages.
This article shows you how to easily use Neural Networks in your MQL4 code taking advantage of best freely available artificial neural network library (FANN) employing multiple neural networks in your code.
https://youtu.be/gu8uTTURudA
The article provides a detailed description of the process of testing and optimizing Expert Advisors in the MetaTrader 4 Strategy Tester. The importance of such information and the need for this publication cannot be underestimated. A lot of users who only get started with the MetaTrader 4 trading platform have a very vague idea of what and how needs to be done when working with Expert Advisors. The proposed article gives simple and clear answers to all of these questions and provides a slightly more professional approach to handling these issues using a specific example.
This article is dedicated to a new and perspective direction in machine learning - deep learning or, to be precise, deep neural networks. This is a brief review of second generation neural networks, the architecture of their connections and main types, methods and rules of learning and their main disadvantages followed by the history of the third generation neural network development, their main types, peculiarities and training methods. Conducted are practical experiments on building and training a deep neural network initiated by the weights of a stacked autoencoder with real data. All the stages from selecting input data to metric derivation are discussed in detail. The last part of the article contains a software implementation of a deep neural network in an Expert Advisor with a built-in indicator based on MQL4/R.
https://www.mql5.com/en/code/15505
One-Minute Data Modelling Quality Rating
The article deals with programmed tracking of events in the МetaТrader 4 Client Terminal, such as opening/closing/modifying orders, and is targeted at a user who has basic skills in working with the terminal and in programming in MQL 4.
https://www.mql5.com/en/forum/149767