Eugen Soloviov
Trading-systems engineer
Ingeniero de sistemas de trading que construye bots desde 2017: arbitraje entre exchanges (conectado hasta 30 plataformas), arbitraje de pares basado en cointegración entre spot y futuros, scalping, estrategias basadas en noticias y sentimiento, algoritmos de tendencia y algoritmos de gestión y balanceo de carteras. También construye ejecución de órdenes en submilisegundos, almacenes de big data, motores de backtesting, agentes de IA e interfaces de trading (incluido el open-source profitmaker.cc). Stack: JS/TS, Python, Rust/Zig/Go, DevOps, backend, frontend, arquitectura.
Articles
Bill Williams Fractals: A Simple Tool for Spotting Extremes and Reversals
A practical guide to Bill Williams fractals: how they work, why they're effective, how to combine them with the Alligator, and how to avoid common pitfalls.
Attractors in HFT: When Mathematics Meets the Market
How the concept of attractors and cointegration helps build market-neutral strategies and understand market dynamics.
Bill Williams: How a Maverick with a Psychology Degree Changed Trading Forever
Biography, philosophy, and inventions of Bill Williams — from engineering psychology to indicators that changed the market.
The Principle of Multiplicative Composition: A Four-Tier Synergy Model in Investment Strategies
A systematic approach to capital management through sequential application of diversification, portfolio rebalancing, trend following, and algorithmic enhancement.
Portfolio Balancer: Hierarchical Investment Management System
An overview of the Portfolio Balancer investment management system, which organizes assets into a hierarchical structure similar to a file system to simplify complex investment processes.
Dynamically Combining Mean Reversion and Momentum Strategies in Statistical Arbitrage: Mathematical Foundations and Practical Implementation
An advanced exploration of how to integrate mean reversion and momentum strategies in statistical arbitrage using PCA-based signal decomposition, regime-switching models, and dynamic portfolio optimization.
Distance Approach in Pairs Trading: Implementation and Analysis with Rust
A comprehensive analysis of basic and advanced Distance Approach methodologies for pairs trading, with practical implementations in Rust tailored for high-frequency traders and algorithmic developers.
Developing a Simple C++ Scalper Using FAST/FIX: Step-by-Step Guide
A step-by-step guide to building a C++ trading scalper bot using FAST/FIX protocols.
The 'Desire Orderbook' Concept: An Innovative Approach to Market Behavior Prediction
Desire orderbook — a revolutionary concept of market structure analysis based on predicting potential actions of market participants before their actual execution.
Analysis of Trader Behavior Prediction Capabilities in DEX Based on Identification and Modeling
How DEX transparency and modern identification methods allow predicting trader behavior, detecting manipulations, and building a desire orderbook.
Building a Market Making Algorithm for Crypto Pairs Using the Avellaneda-Stoikov Model
A step-by-step guide to building a market making algorithm for USD+/wETH and USD+/cbbtc pairs using the Avellaneda-Stoikov model and PPO. Onchain trading features, inventory management, RL training.
Trading Candles Demystified: How Raw Trades Become the Foundation of Market Analysis
How are trading candles built from raw trades? This article explains the aggregation process, edge-cases, and offers an interactive visualizer to see candles form in real time.