EugenSoloviov

High-performance messaging system in Zig — competitor to Aeron. Target: IPC RTT <100ns, 50M+ msg/sec.

IPC benchmarks for algorithmic trading: shared memory, Unix sockets, NNG, ZeroMQ, gRPC, Aeron — p50/p95/p99 latency.

Python library for reverse-engineering BingX leverage tiers API.

Crypto market data from 100+ exchanges, <100ms latency. AI agents for portfolio management and autonomous trading.

Open-source trading terminal (frontend + backend) for self-hosting, expandable with modules.

High-performance tick-sim backtesting engine with Genetic Optimization (Optuna). Features 1s drill-down, distributed cluster (50+ threads), and 22+ candle building methods.

Polymarket analytics with copy-trading, insider detection, and arbitrage scanner.

Implementation of the Avellaneda-Stoikov HFT market making model. Includes multiple versions and TigerBeetle integration.

Bybit HFT bot — L1/L50 orderbook analysis, adaptive deviation reduction, and hot connection warming. Order placement in <1ms.

High-performance FIX protocol scalper in C++.

C++ vector arbitrage system for crypto exchanges.

Arbitrage bot for Solana in Rust.

Event-driven monitors for Upbit/Bithumb listings. Sub-100ms signal extraction from Telegram via gRPC. Optimized in Rust and Zig.

Automated trading on Binance listing events.

Downloads trade data around listing events, builds candlestick data, provides detailed profit scenario analysis.

Practical Modern Portfolio Theory for crypto portfolios — mean-variance optimization, efficient frontier.

Copy trading platform for crypto exchanges.

Spot/futures pair arbitrage on Binance — metrics, signals, and bots for detecting correlation divergence.

Trading architecture on pseudographs using Deep.Foundation.

Open-source bot for automatic ETF portfolio rebalancing via Tinkoff Invest API.

OHLCV candlestick chart visualizer for trading data.

Order placement latency benchmarks across exchanges after connection warming — ping, keep-alive, p50/p95/p99.

Rust library for detecting market manipulation patterns.

Rust OHLCV candle aggregator, batch aggregator, and generator with benchmarks.

C adapter/SDK for Hyperliquid exchange API.

Listing announcements API for crypto exchanges — data platform plus dashboard.

Market-data warehouse on Go + IPFS: collectors, distributed storage, web UI.

Kimchi-premium tracker: spread between Korean and global crypto markets.

Catalog of ~2500 trading indicators and metrics — FastAPI backend, Next.js frontend.

Node-graph composer for strategies: React Flow over the metrics module library.

Popularity tracker for crypto assets: parsers across social and market sources.

Hedge-fund CRM: investor pipeline, Telegram integration, Postgres.

GPU price aggregator: rental and cloud GPU offers from all providers, compared in one place.

MCP-powered solver service: FastAPI backend + Next.js UI for agent-driven task solving.

Rust CLI for AI-generated commit messages via OpenRouter. 105 releases, VS Code extension, jail/blacklist failover.

Unified OpenAI-compatible Python SDK for 300+ AI models with Pydantic structured output and cost tracking.

Open-source Django framework with AI agents via Pydantic AI, MCP server, gRPC, WebSocket, vector search, crypto payments.

macOS screenshot tool for LLM context. Captures screen regions, auto-downscales to save tokens, sends PNG straight to clipboard.

Python package — Claude integration for Cmdop, remote AI agent management via PyPI.

MCP server — local LLM proxy for Claude Code with auto-fallback to cloud models.

Desktop terminal for parallel AI coding agent sessions. Project sidebar, real PTY terminal, prompt queue. Local, SSH, or CMDOP connections.

Typing arena: speed-typing races and stats — Go backend, Next.js frontend.

Self-hosted SSO for every marketmaker.cc service — Go + Next.js, forwardAuth via Traefik.

Backup dashboard over restic: schedules, snapshots and restore status across all servers.

Research aggregator: scrapers for papers, YouTube and GitHub repos, indexed with Meilisearch.

On-screen keyboard for Android/iOS by klava.org. Partner project.

Web visualizer for Karabiner-Elements configs — view your macOS keyboard remaps as an interactive layout.

Quiet Chrome MV3 extension that blocks distracting sites — side panel UI, 21-language i18n, custom shortcut, and a guardian mascot.

macOS menu bar app to monitor thermal pressure & auto-toggle Low Power Mode on Apple Silicon M1–M4.

VSCode-like desktop editor for AES-256-GCM encrypted file vaults.

Open-source password manager — Rust/Axum backend, React+TS frontend, Tauri desktop, React Native mobile, Argon2id/AES-256-GCM.

The Telegram Client for Deep Focus — minimalist Telegram client (TypeScript + Rust backend).

Developer-focused macOS disk cleaner utility.

Deadline countdown app showing days remaining.

Open source startups. Fullstack dev: pseudo-graph DB, event-driven architecture, DevOps (Swarm, ArgoCD, Kubernetes, Terraform). 2022–present.

Open-source crypto analytics marketplace. Sentiment analysis, ICO fundamental analysis. Went through Startupbootcamp. 2017–2018.

C2C/C2B sharing platform (car & home rental). React developer. 2020–2022.

Website for a private airline in Uzbekistan. 2023.

Open-source crypto trading terminal supporting 130+ crypto exchanges. Two versions: React (class-based) and Vue 2. 2018–2019.

Marketplace. Went through FRII acceleration. 2013.

Website builder startup. Partner. 2019–2020.

Blockchain on Cosmos SDK. 2024.

Open-source crypto analytics marketplace. Sentiment analysis, ICO fundamental analysis, ICOFaces. ICO (unsuccessful). Went through Startupbootcamp. 2017–2018.

Open-source decentralized exchange. Solidity smart contract, Web3.js, orderbook caching. Won BlockchainHack by Waves. 2017.

Web development studio. Started as solo freelancer, grew to team of 3-7 devs. ~200 websites built. 2010-2016.

Partner in startup. Frontend for mobile app. Went through Bayer acceleration. 2016.

Online book about algorithmic trading — strategies, backtesting, infrastructure, and practical guides.

Open-source book covering the math foundations traders need — statistics, linear algebra, optimization, and stochastic calculus for algorithmic and quantitative trading.

Articles on backtesting methodology, QuestDB analytics, Monte Carlo bootstrap, anomaly detection, profit/loss asymmetry, and more.