Freelance Algo Trading Developer
Custom algorithmic trading development in India, from a written strategy specification to backtesting, paper trading and monitored execution.
Turn strategy rules into a testable specification
A development project starts with precise entry and exit rules, instrument selection, trading hours and position limits. Ambiguous instructions such as “enter on a strong move” need measurable definitions. I work with your rules to identify missing conditions before implementation.
Build in stages with reviewable outputs
The proposed workflow separates data preparation, signal generation, backtesting and execution. Each stage has an acceptance check: sample signals match the specification, historical runs can be reproduced, and paper orders reconcile with the portfolio state. Live execution is a separate milestone after review.
Plan the handover before deployment
A usable trading system needs configuration examples, setup instructions, logs and a recovery procedure. Scope can include a deployment runbook, alerts and a walkthrough. Maintenance, supported brokers and response expectations are agreed for the specific engagement.
Potential project deliverables
- Written strategy and acceptance criteria
- Python source code and configuration examples
- Backtesting and paper-trading workflow
- Risk checks, monitoring and deployment documentation
The final scope, timeline and cost follow a review of your requirements.
Related work and next steps
Read a related project summary and its documentation status, or browse trading projects.
Trading-system engineering notes · Python algo trading course
Frequently asked questions
What should I send for a development quote?
Send the strategy rules, instruments, broker, sample data, expected trade frequency and whether you need research, paper trading or live execution. Do not send passwords or API secrets.
Can you work on an existing system?
Yes. Share the relevant code and reproducible problems with credentials removed. An initial review establishes which parts can be reused and which need changes.
Trading involves risk, including loss of capital. Backtest results do not guarantee future trading performance. Development and educational content are not investment advice. Read the trading-risk disclaimer.