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lubluniky/README.md

header

borkiss

precision is art. chaos is data. everything else is noise.

quantitative analyst building systems that read markets before people do.
fusing behavioral patterns, market microstructure, and AI-driven analytics.
no signals, no hype - just structure, tension, and math that breathes.


18 y/o | discretionary trader for 3 years | coding since 14
rust · c · go · python · cuda · js · typescript

borkiss.trade data over drama


core systems

building infrastructure that doesn't wait for confirmation candles.

rocket-rs → reinforcement learning library for rust

high-performance RL with PPO and A2C algorithms. performance-critical training loops meet type safety.

stack: rust · reinforcement learning · optimization


siphon_x → self-healing API harvester & TUI

headless browser automation extracting undocumented endpoints. reverse-engineering for profit.

stack: rust · headless browsing · API discovery


backtesting-kernel → high-performance backtesting engine

c kernel + rust FFI + python API. 626M+ ticks/sec. built for speed, not convenience.

stack: c · rust · python · low-latency systems


polymarket-botkit → production-ready polymarket infrastructure

execution gateway + risk management monorepo. prediction markets meet real execution.

stack: rust · trading infrastructure · risk management


quant-mind-mcp → MCP server for quantitative analysis

AI-powered financial modeling and research. multi-agent orchestration for quant workflows.

stack: python · AI agents · financial modeling


focus areas

  • crypto · fx · stocks → multi-asset quantitative strategies
  • stack: rust · c · go · python · cuda · js · typescript · docker · kubernetes
  • obsession: data · math · monster energy

research vectors

currently exploring:

  • quantitative finance (q-fi) → market microstructure, order flow dynamics
  • data science → high-dimensional time series, feature engineering
  • computer science → low-latency systems, distributed computing
  • reinforcement learning → agent-based trading systems

philosophy

markets don't reward prediction. they reward preparation.

building systems that operate in the space between structure and chaos - where mathematical rigor meets behavioral noise. every position is a hypothesis. every backtest is a conversation with reality. every line of code is an opinion about how information moves through systems.

no heroics. no narratives. just rigorous engineering applied to probabilistic outcomes.


connect

open for collaboration on high-performance systems, quantitative research, and algorithmic trading infrastructure.

GitHub Website

contributions welcome · issues open · stars appreciated

Pinned Loading

  1. rocket-rs rocket-rs Public

    High-performance reinforcement learning library for Rust with PPO and A2C algorithms

    Rust

  2. siphon_x siphon_x Public

    🚀 Self-Healing API Harvester & TUI written in Rust

    Rust

  3. backtesting-kernel backtesting-kernel Public

    High-performance backtesting engine with C kernel, Rust FFI, and Python API (626M+ ticks/sec)

    C 1

  4. polymarket-botkit polymarket-botkit Public

    Production-ready Polymarket trading infrastructure monorepo with execution gateway and risk management

    Rust 2

  5. pingoblin pingoblin Public

    Polymarket latency monitoring TUI

    Rust 2

  6. moltbot-hardener moltbot-hardener Public

    tool that help you to set moltbot secure on your mac/vps

    Go