Yevgeniy Koshtenko
Yevgeniy Koshtenko
3.8 (6)
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2 years
experience
13
products
38
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1
jobs
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Qualified Investor of Kazakhstan and the Russian Federation.
Trading since 2016, algorithmic trading since 2019, machine learning and programming since 2021.

I develop expert advisors, trading robots, indicators, smart contracts, cryptocurrency token and coin codebases, business automation software, and turnkey AI models.

Currently working on an institutional-grade trading system for my own hedge fund and on my own AI blockchain.
Author of 100+ international articles published in different languages worldwide.
Yevgeniy Koshtenko
Published article Developing a robot in Python and MQL5 (Part 1): Data preprocessing
Developing a robot in Python and MQL5 (Part 1): Data preprocessing

Developing a trading robot based on machine learning: A detailed guide. The first article in the series deals with collecting and preparing data and features. The project is implemented using the Python programming language and libraries, as well as the MetaTrader 5 platform.

Aleksandr Seredin
Aleksandr Seredin 2024.03.30
Огонь! )
Yevgeniy Koshtenko
Yevgeniy Koshtenko
Взял проп США на 2 200 000. Также готовлю новую статью сюда, с моделью МО
Aleksandr Seredin
Aleksandr Seredin 2024.03.01
Огонь! )
Yevgeniy Koshtenko
Yevgeniy Koshtenko
Друзья, меня забанили в сообщениях за рассылки. Блин.
Yevgeniy Koshtenko
Published article Creating a market making algorithm in MQL5
Creating a market making algorithm in MQL5

How do market makers work? Let's consider this issue and create a primitive market-making algorithm.

Yevgeniy Koshtenko
Published article Quantitative analysis in MQL5: Implementing a promising algorithm
Quantitative analysis in MQL5: Implementing a promising algorithm

We will analyze the question of what quantitative analysis is and how it is used by major players. We will create one of the quantitative analysis algorithms in the MQL5 language.

Yevgeniy Koshtenko
Yevgeniy Koshtenko
Тест на участке вне обучения с 2013, одной из моделей, которые сейчас стоят на тесте. +10% без плеча в год. Просадка 8%.

Просадки по полгода на пике. Думал взять счет в пропе США. Получается, что 4% риска в пропе, можно выдержать только торгуя втрое меньшим лотом. 5% прибыли за год. Проп такими темпами, я сдам за год. Или за полтора, если не повезет и попаду на неудачное время.

Все-таки настоящий трейдинг это всегда long term capital managment) Десятилетия труда и настойчивости. Забудьте вообще о тупых мошенниках, которые обещают в рекламе быстрые прибыли с трейдинга, о каких блин 50% в месяц можно говорить? О чем речь вообще? Это НЕВОЗМОЖНО! И легких денег в трейдинге ТОЖЕ НЕТ! ВСЕ ЭТИ СМАРТ МАНИ, ЧУДО СИСТЕМЫ, БРЕДЯТИНА ВСЯКАЯ - ЭТО ПРОСТО ЗАМАНУХА ДЛЯ ЛОХОВ НА ПОКУПКУ КУРСОВ!
Yevgeniy Koshtenko
Published article Python, ONNX and MetaTrader 5: Creating a RandomForest model with RobustScaler and PolynomialFeatures data preprocessing
Python, ONNX and MetaTrader 5: Creating a RandomForest model with RobustScaler and PolynomialFeatures data preprocessing

In this article, we will create a random forest model in Python, train the model, and save it as an ONNX pipeline with data preprocessing. After that we will use the model in the MetaTrader 5 terminal.

Yevgeniy Koshtenko
Published code Risk calculator for MT 5
The indicator calculates your risk as a percentage and gives you the lot size that is acceptable for your risk. You only need to specify the risk in per cent and the stop size in pips.
Yevgeniy Koshtenko
Published code Количественный анализ тейков и стопов
Советник анализирует вероятности достижения тейк-профита и стоп-лосса.
175
shared product

Here is a quantitative analysis indicator for any market. Its essence is simple - it calculates the magnitude of the waves of price movement from top to bottom, and gives the median value of the magnitude of the non-recoil trend. If the current value of the movement has exceeded this threshold by more than 10% (110% of the indicator indicator), you can enter a trade against the trend and work with a large margin of action based on ATR. Transactions are obtained with a high risk-reward ratio and

Yevgeniy Koshtenko Published product

Here is a quantitative analysis indicator for any market. Its essence is simple - it calculates the magnitude of the waves of price movement from top to bottom, and gives the median value of the magnitude of the non-recoil trend. If the current value of the movement has exceeded this threshold by more than 10% (110% of the indicator indicator), you can enter a trade against the trend and work with a large margin of action based on ATR. Transactions are obtained with a high risk-reward ratio and

Yevgeniy Koshtenko
Left feedback to developer for job Перевести советник с MT4 на MT5 и чуть-чуть его подкорректировать
Yevgeniy Koshtenko
Registered at MQL5.community