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Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

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NeoZorK/README.md

Rost S. — Quant / Trading Systems R&D

I build algorithmic trading systems and quantitative research infrastructure, with 12+ years of hands-on experience in trading software (including deep MT4/MT5/MQL5 domain work).

Focus: turning trading ideas into testable, reproducible, production-oriented systems.

Current focus

  • Algorithmic trading and market research
  • Python / C++ trading infrastructure
  • Quantitative validation and backtesting
  • AI-assisted R&D (as a development multiplier, not a job title)
  • Proprietary market analytics

Stack hierarchy

Layer What
Core Algorithmic trading · trading systems · Quant R&D
Strong Trading architecture · validation · MQL5/C++ domain depth
Applied Python · FastAPI · PostgreSQL · Docker
Emerging ML / LLM tooling · local AI workflows · MLX

Pinned story (read in order)

  1. Monte-Neo — Monte Carlo + fee-aware backtests / walk-forward research engine
  2. trading-data-replay-engine — deterministic market-data replay
  3. DEXArb — low-latency market-data / opportunity-detection architecture
  4. NeoZorK3 — execution-oriented trading-systems R&D
  5. ClaimBound Evidence — preregistered evidence discipline (rigor signal; not the hero product)

Green / PASSED_UNDER_PROTOCOL ≠ independently reproduced. Most public cards remain single-operator until a separate rerun.

AI-assisted R&D

I use modern AI coding/reasoning systems (Claude, GPT, Gemini, Grok, Cursor, local LLMs) to accelerate research iteration, refactoring, tests, experiment automation, and trading-system prototyping — not as “generic AI development.”

Contact

Open to remote Quant Developer / Algorithmic Trading / Trading Systems R&D roles.
GitHub: @NeoZorK

Pinned Loading

  1. Monte-Neo Monte-Neo Public

    Quant research engine: Monte Carlo + fee-aware bar backtests, walk-forward, stress tests (Apple Silicon / Metal / MLX).

    Python 8

  2. trading-data-replay-engine trading-data-replay-engine Public

    Trading data replay engine with mid-price processor — deterministic market-data replay for research and validation.

    Python 9

  3. DEXArb DEXArb Public

    C++23 market-data / opportunity-detection research: low-latency scan architecture for cross-venue inefficiencies (DEX as a case study, not a crypto-only identity).

    C++ 6

  4. NeoZorK3 NeoZorK3 Public

    C++20 trading-systems R&D: market-data ingestion, opportunity detection, and execution-oriented research architecture (Solana arb as one stress domain).

    C++ 10

  5. ClaimBound/claimbound-evidence ClaimBound/claimbound-evidence Public

    ClaimBound: open pre-registered public-source evidence cards for reproducible AI/ML/Data claim checks.

    Python 9 3