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duizziedocode/README.md

Sahil Kumar

Systematic Trader
Python Engineer
Builder of end-to-end trading systems


Profile

I design and build systematic trading systems from research to live market execution.

My work focuses on transforming quantitative ideas into production-grade infrastructure.
From backtesting strategy hypotheses to deploying automated execution pipelines, I build complete trading products from scratch with an emphasis on determinism, robustness, and real-time processing.


Core Focus

  • Strategy research and validation through structured backtesting
  • Candlestick and technical pattern-based signal development
  • Real-time signal generation and execution systems
  • Deterministic event-driven architecture
  • Live order routing and portfolio validation
  • End-to-end ownership of trading system lifecycle

Approach

I treat trading systems as engineering problems.

Every component — data ingestion, signal logic, execution control, and monitoring — is designed with clear separation of concerns and measurable behavior.

My workflow typically includes:

  1. Research and hypothesis formation
  2. Historical backtesting and refinement
  3. Structural system design
  4. Real-time pipeline implementation
  5. Live market deployment
  6. Continuous validation and iteration

The emphasis is not only on alpha discovery, but on building infrastructure capable of executing that alpha reliably in live market conditions.


Project Work

Autobought — Systematic Trading Infrastructure

An independently built trading system implementing:

  • Strategy development through backtesting
  • Real-time data processing pipeline
  • Deterministic signal publishing
  • Automated live order execution
  • Logging and portfolio checks

The strategy logic is proprietary.
This repository demonstrates the architectural design and system thinking behind the implementation.


Engineering Philosophy

  • Clarity over complexity
  • Measurable latency and predictable behavior
  • Modular system design
  • Ownership from research to execution
  • Production-first thinking

Current Direction

Deepening work in:

  • Real-time system design
  • Execution optimization
  • Strategy robustness under live conditions
  • Risk-aware systematic deployment

Built independently as a systematic trading and infrastructure project.

Pinned Loading

  1. Quant-OI-Analysis Quant-OI-Analysis Public

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  2. Quant-Volume-Footprints Quant-Volume-Footprints Public

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  3. Quant-Autobought-Strategy Quant-Autobought-Strategy Public

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