About Us

Puneet Tewani is the founder of Fox Trading Solutions. He has been a trader since 2011 and is an avid technology enthusiast.
He has been involved in the financial markets for over a decade, with experience working with leading brokers in India. His aim is to spread knowledge about algorithmic and systematic trading and make it more accessible to traders and professionals.
Fox Trading Solutions is a team with expertise in developing technology-driven and systematic trading solutions, with experience across different market environments.
The team's combined experience averages over 10 years, giving us exposure to different phases and conditions of the market.
We are here to share the knowledge and experience we have gained over the years. We have also documented our experience in the book “Step by Step Guide to Automation Using Zerodha's API”, which covers the fundamentals of building a trading strategy and provides a practical introduction to developing your own automated trading system.
We have expertise in building algorithmic trading strategies based on defined rules, mathematical concepts, statistical analysis and systematic research. Our approach focuses on structured strategy development, historical testing, risk management and disciplined execution.
The belief on which we run is Think, Test and Deploy. We develop automated trading engines that turn trading ideas into systematic, testable and executable strategies, supported by technology infrastructure designed for reliable execution.
Why Us ??
Fox Trading Solutions provides a range of trading solutions designed for different levels of experience and different trading objectives. Whether you are a working professional looking to explore systematic trading or a beginner taking your first steps into the trading world, our solutions are designed to provide a structured approach to understanding and implementing trading strategies.
At Fox Trading Solutions, we believe in a holistic approach to trading. Our focus combines strategy development, technology, automation, research, backtesting and risk management to help traders make informed decisions.
We have developed a range of strategies, each designed with different objectives, risk parameters and market approaches in mind. Every investor has a different risk tolerance and investment rationale, and our strategies are structured accordingly.
Selected strategies are presented with their historical performance data, strategy parameters and relevant risk metrics, allowing users to evaluate them based on their own objectives and risk tolerance.
Media Coverage
Our Book
About the Book
This book is a practical guide to coding your trading strategy in Python using Zerodha's API. It begins with the basics of Python and progressively takes you through the process of developing and implementing your own trading strategy.
It serves as a step-by-step guide for your journey into algorithmic trading and includes relevant examples wherever necessary to make the concepts easier to understand.
The book walks through the process of developing algorithmic trading systems using Zerodha's API. With an automated system in place, traders can reduce the need for continuous manual monitoring and focus on building, testing and managing their strategies while the technology handles the defined execution process.
Author
Puneet Tewani is the founder of Fox Trading Solutions. He has been involved in the financial markets since 2011 and has extensive experience in algorithmic trading, strategy development, automation and trade execution.
Fox Trading Solutions specialises in developing data-driven, systematic trading strategies that are back-tested and refined through continuous research.
The firm has documented an 8+ year live-market track record and has experience managing ₹200 Cr in assets under management.
Puneet has also worked across proprietary trading environments and has experience in handling significant trading capital.
The philosophy behind Fox Trading Solutions is Think, Test and Deploy — turning trading ideas into systematic, testable and executable strategies.



.png)


.png)



