Eugen Soloviov
Trading-systems engineer
Trading-systems engineer building bots since 2017: cross-exchange arbitrage (connected up to 30 venues), cointegration-based pairs arbitrage across spot and futures, scalping, news and sentiment-driven strategies, trend algorithms, and portfolio management and balancing algorithms. Also builds sub-millisecond order execution, big-data warehouses, backtesting engines, AI agents, and trading interfaces (incl. open-source profitmaker.cc). Stack: JS/TS, Python, Rust/Zig/Go, DevOps, backend, frontend, architecture.
Articles
Flowsurface: Open-Source Orderflow Platform for Crypto Markets
A review of Flowsurface — a free desktop application built in Rust for real-time DOM heatmap, footprint charts, time & sales, and depth ladder visualization. Supports Binance, Bybit, Hyperliquid, OKX, and MEXC.
Fincept Terminal: Open-Source Bloomberg Terminal Alternative Built on C++ and AI
In-depth review of Fincept Terminal v4 — a native desktop application built on C++20 and Qt6 with 37 AI agents, QuantLib, and 100+ data connectors for professional trading.
AutoHedge: A Review of an Autonomous AI Hedge Fund Based on Swarm Intelligence
A look at the architecture of AutoHedge by The Swarm Corporation. How a multi-agent system built on Swarms.ai develops trading hypotheses, assesses risk, and executes trades automatically.
Kronos: A Foundation Model That Teaches Candlestick Charts to Speak Transformer Language
Review of Kronos — a foundation model for OHLCV candle forecasting. BSQ tokenizer, hierarchical decoder, two-stage sampling, Qlib training pipeline. How a model learns the 'language' of the exchange.
Jesse: Crypto Algo-Trading Framework with a Minute-Based Engine in Python and Rust
In-depth review of Jesse — an algo-trading framework for crypto markets. Minute-based simulation, strategies as state machines, Rust-accelerated indicators, optimization with overfitting protection, and the boundary between open-source core and live trading.
AI Hedge Fund: A Multi-Agent Fund Where AI Analysts Vote on Trades
A deep dive into AI Hedge Fund by virattt — an open-source system where multiple LLM agents with different analysis styles build a portfolio through a risk filter. Architecture, agents, limitations, and lessons for real systems.
AI4Finance Foundation: The FinGPT, FinRL, and FinRobot Ecosystem for Algo-Trading
Complete guide to the AI4Finance Foundation ecosystem: FinGPT (LLM + LoRA for finance), FinRL (reinforcement learning for trading), FinRobot (multi-agent orchestration). Satellites, pipelines, and practical usage.
VectorBT: The Fastest Backtesting Framework for Python
Overview of VectorBT — an innovative quantitative analysis library that changes the approach to backtesting thanks to the power of NumPy and Numba.
Copula Models for Joint Risk Modeling in Crypto Portfolios
Beyond linear correlation — using copula models to capture tail dependence and joint risk in cryptocurrency portfolios for accurate VaR and CVaR estimation.
ZigBolt: Why We Built Our Own Aeron in Zig and Hit 20 Nanoseconds Per Message
How and why we built an ultra-low-latency messaging system for HFT from scratch in Zig. No JVM, no GC, no surprises. SPSC ring buffer at 20 ns, IPC at 30 ns, codec at 0 ns. With benchmarks.
Automated ETF Portfolio Rebalancing: How We Built a Bot for Tinkoff Invest
Open-source TypeScript/Bun bot for automated ETF portfolio rebalancing on Tinkoff Invest. Four balancing modes, margin trading, multi-account support. With source code.
Aeron: Inside the Messaging System That Powers Half of the HFT Industry
A deep dive into Aeron — the messaging system from Real Logic for high-frequency trading. Transport, Archive, Cluster, Sequencer. What's inside, how it works, and where the bottlenecks are.