How to Build a Safe & SEBI Compliant Algo Trading System in India? #Face2Face with Mr. Sanjay Baid

As Founder & CEO of Modern Algos, he lead a SEBI-registered fintech platform built with a deep understanding on compliance and regulatory frameworks. Every product—whether advanced algorithmic models, ready-to-invest equity baskets, or automated options strategies—is engineered around SEBI guidelines to deliver both innovation and trust. Our mission is to give every retail investor the precision, speed, and discipline of an institutional desk, with zero emotional bias and a seamless experience.


In a thought-provoking Face2Face conversation with Vivek Bajaj, Aniketh Dsouza emphasized that a trader’s greatest asset is not capital but knowledge. While most traders focus on increasing their trading capital, they often overlook the importance of systematically capturing and preserving their learning.

Aniketh explained how traders can build a “Second Brain” — a personal knowledge management system that stores research, trading journals, market observations, strategies, and lessons from past trades. He highlighted that knowledge, much like investments, compounds over time when it is documented, connected, and revisited regularly. The discussion also explored the transformative role of Artificial Intelligence in trading. According to Aniketh, AI becomes significantly more powerful when it can access a trader’s personal knowledge base rather than functioning as a standalone chatbot.

By integrating AI with a structured repository of information, traders can retrieve insights faster, analyze previous decisions, identify recurring patterns, and accelerate their learning process. He pointed out that many users repeatedly teach AI the same preferences and frameworks because they lack a memory system. Tools like Obsidian can serve as a centralized knowledge vault, helping traders organize information efficiently and make better decisions through improved information retrieval.

The conversation underscored that successful traders build robust systems, not just trading strategies. As AI adoption continues to grow, those who combine market expertise with AI-powered knowledge management will enjoy a significant competitive advantage. The key message was clear: the future belongs to knowledge-augmented traders who leverage technology to continuously learn, adapt, and improve their decision-making in an increasingly complex market environment.