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
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
- crypto · fx · stocks → multi-asset quantitative strategies
- stack: rust · c · go · python · cuda · js · typescript · docker · kubernetes
- obsession: data · math · monster energy
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
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.
open for collaboration on high-performance systems, quantitative research, and algorithmic trading infrastructure.

