Yevgeniy Koshtenko / Profilo
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2 anni
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67
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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.
We revisit the Ilan grid Expert Advisor and integrate Q-learning in MQL5 to build an adaptive version for MetaTrader 5. The article shows how to define state features, discretize them for a Q-table, select actions with ε-greedy, and shape rewards for averaging and exits. You will implement saving/loading the Q-table, tune learning parameters, and test on EURUSD/AUDUSD in the Strategy Tester to evaluate stability and drawdown risks.
Do you want to know how to benefit from the difference in interest rates? This article considers how to use swap arbitrage in Forex to earn stable profit every night, creating a portfolio that is resistant to market fluctuations.
We are creating an adaptive self-learning trading expert advisor based on DQN machine learning, with multidimensional causal inference. The EA will successfully trade simultaneously on 7 currency pairs. And agents of different pairs will exchange information with each other.
In this article, we will examine the movements of synthetic currencies using Python and MQL5 and explore how feasible Forex arbitrage is today. We will also consider ready-made Python code for analyzing synthetic currencies and share more details on what synthetic currencies are in Forex.
Today we will take a look at my first arbitrage robot — a liquidity provider (if you can call it that) for synthetic assets. Currently, this bot is successfully operating as a module in a large machine learning system, but I pulled up an old Forex arbitrage robot from the cloud, so let's take a look at it and think about what we can do with it today.
В отличие от остальных моих алгоритмов, не требует обучения и оптимизации, обучается на лету и за пару дней выходит в прибыль. Постоянно дообучается на лету. Выходит в прибыль с любой точки графика на любой паре.
Осталось совместить это с арбитражным Сварогом и поставкой данных из Мидаса, и с удаленным риск менеджером. Но эта часть системы самодостаточна.
This article presents the development of an arbitrage analysis panel in MQL5. How to get fair exchange rates on Forex in different ways? Create an indicator to obtain deviations of market prices from fair exchange rates, as well as to assess the benefits of arbitrage ways of exchanging one currency for another (as in triangular arbitrage).
We are making a remote professional risk manager for Forex in Python, deploying it on the server step by step. In the course of the article, we will understand how to programmatically manage Forex risks, and how not to waste a Forex deposit any more.
We are going to develop a professional indicator for currency strength analysis in MQL5. This step-by-step guide will show you how to develop a powerful trading tool with a visual dashboard for MetaTrader 5. You will learn how to calculate the strength of currency pairs across multiple timeframes (H1, H4, D1), implement dynamic data updates, and create a user-friendly interface.
How can a trader manage capital? How can a trader and investor keep track of expenses, income, assets, and liabilities? I am not just going to introduce you to accounting software; I am going to show you a tool that might become your reliable financial navigator in the stormy sea of trading.
We will use a quantum computer from IBM to discover all price movement options. Sounds like science fiction? Welcome to the world of quantum computing for trading!
Огонь. Нраицца. Портфель собрала нейросеть. Есть ещё портфель на Мосбирже, ещё не смотрел результаты, и два глобальных портфеля - инновационный с результатом +154% без плеча, и вечный, из ETF.
Все это без плеча. Шарп под четверочку)
Indicator Description: "Currency Strength Panel with Trend Analysis" This indicator is designed for analyzing the strength of currency pairs and determining their current trends, helping traders make more informed trading decisions. It displays a panel on the chart that shows the strength of each currency pair based on price movements across different timeframes (H1, H4, D1) and identifies whether the pair is in a trend or counter-trend. How to Use this Indicator: Currency Pair Strength Analysis
Риск-менеджер удаленно подключается ко всем советникам (роботам), которые с ним связаны, хоть сколько, связаны через сокеты.
А советники (роботы) - будете использовать вы, бесплатно, за процент от прибыли. У нас будет чат, у нас будет команда. Риск контролируется всей командой и сервером (система коллективной ответственности).
Робот сам, рабоотает вот так примерно - это полуавтомат на моем исследовании 3D баров.
Есть тройной риск-менеджмент, как с вашей стороны (закрытие позиций вручную), так и со стороны самого советника (он закрывает как РМ определенный процент просадки), так и со стороны сервера (он удаленно видит ваш советник, и рубит риски).
Если откатаем систему, и все будем получать доход - начнем брать проп-счета, и слить вы их не сможете по причинам удаленного риск-менеджмента.
Как вам идея?
How does the market observe Fibonacci-based relationships? This sequence, where each subsequent number is equal to the sum of the two previous ones (1, 1, 2, 3, 5, 8, 13, 21...), not only describes the growth of the rabbit population. We will consider the Pythagorean hypothesis that everything in the world is subject to certain relationships of numbers...
