// engineering across trading systems, Python & the web
Systems that ship,
and keep running.
codedrives is a portfolio of production engineering work — from a live algorithmic options-trading engine for NSE index options, through Python & ML systems, to full-stack web platforms delivered for international clients.
// about us
Twelve years of building and running real systems
codedrives is the studio behind 12+ years of production software — quantitative trading infrastructure, applied machine learning, and high-scale web platforms. Built for startups and businesses worldwide, and run in production, not left in a notebook.
Quant & trading
A live options-trading engine — per-minute data pipeline, backtesting with live parity, multi-strategy research, and statistical validation.
Python & ML
NLP order parsing at ~86% accuracy, OCR pipelines (Tesseract, OpenCV, Vision), data crawlers, and networking software.
Web at scale
High-volume e-commerce, SaaS platforms, and marketplaces on Laravel, CodeIgniter, WordPress & OpenCart.
Infrastructure & data
Redis state and streams, Docker, Linux administration, REST and broker APIs, and MySQL / PostgreSQL pipelines.
Core stack
What's inside
Algorithmic Options Trading Engine
An intraday systematic engine for Nifty / BankNifty options — a single code path that replays 3 years of minute data or streams live via broker API. The real story is validation discipline: telling genuine edge from overfit noise. Performance figures are backtested and validated, not live-profit claims.
Read the case study- Data3 yrs · per-minute
- Backtest~950 trades
- Strategies8 intraday
- StackPython · Flask · Redis
What clients said
"A pro with Python, PHP & MySQL. Converted our Python script to PHP and fixed issues we'd been fighting — and fast, instantly responsive to messages. You can't ask more of a dev."
"Works super fast and is immediately responsive. Impressive knowledge of PHP & MySQL — even added extra queries that helped our internal searches. Want it done fast and right? Hire this."
"Exceptional MySQL knowledge. A PHP script consolidating tables with millions of rows ran at 17 seconds per row — brought down to 125–175 rows per second. Very pleased."