Contact person: Web Options Backtesting & Optimization Tool

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Location: Lucknow, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I am a trade index and stock options on the Indian derivatives market and already hold several terabytes of tick-level data (NSE option data, and executed trades). What I need now is a full-stack, Python-driven web application that lets me:

• ingest and clean this tick feed quickly,
• encode my own proprietary strategies (not the standard straddle / condor / butterfly templates),
• run fast, repeatable backtests, and
• iterate through parameter grids to spot the best risk-adjusted variants.

Python is non-negotiable because my current research notebooks rely on pandas, NumPy, TA-Lib, Feel free to combine it with frameworks like FastAPI, Django, Flask, or a Dash/React front-end—whichever best marries speed and a smooth browser UI.

Core flow I envision
1. Data engine reads raw *.csv / parquet tick files, aligns strikes, expiries, and stores the time-series in an efficient format (Arrow, DuckDB, or similar).
2. Strategy sandbox where I can paste or import my own Python functions that receive an event stream and return orders.
3. Backtest runner that simulates fills, slippage, STT, margins, and generates equity-curve, drawdown, Sharpe, and trade log.
4. Optimizer module that spins through parameter ranges (grid or Bayesian) and surfaces heat-maps, leader-boards, and downloadable reports.
5. Web dashboard for uploading data, selecting a strategy, tweaking parameters, launching jobs, and visualising results in real time.
[login to view URL] strategy optomization tool which enables uses to conduct multiple backtest of parameter range and delivery of a report for best 5 parameters shortlisted or filtered from the range

Acceptance criteria
• 1-minute Nifty & BankNifty option data (2024-present) backtests complete in <60 s on my 32 GB RAM machine.
• Results, logs, and charts persist between sessions and can be exported to CSV/PNG.
• Clean, responsive browser interface accessible over LAN without extra setup.
• Clear, documented API endpoints so I can later hook it to a cloud scheduler.

All historical files plus sample strategy code will be shared once we start, and I’m ready to iterate closely until the tool matches my live-trading workflow." (client-provided description)