Indian traders don’t have a strategy problem – they have a discipline problem

That’s the bet TradrisAI founder Sahil Sharma is making with his AI coach.

In a market crowded with trading tips, signals, and shortcuts to quick wealth, Gurgaon-based fintech platform TradrisAI is taking a different route. Founded by tech entrepreneur and trader Sahil Sharma, the platform focuses not on predicting the market, but on fixing the one thing most traders struggle with – discipline.

Sahil spent nearly a decade in Bangalore’s tech ecosystem, building multiple B2C ventures – one of which scaled to a million-dollar ARR in its first year of operations. Alongside entrepreneurship, he had another long-term interest – trading.

Having actively traded for over five years, he observed a pattern that most retail traders fail to acknowledge. According to him, the issue is rarely the lack of strategies. Instead, traders often struggle with emotional decision-making, inconsistency, revenge trading, and the inability to follow rules during volatile market conditions.

This personal insight eventually led to the creation of TradrisAI, an AI-driven trading discipline platform launched publicly on April 1, 2026, under Cloudcrunch Technologies. What initially started as a self-built framework maintained through Excel sheets evolved into a full-fledged behavioural coaching product for traders.

Unlike conventional trading platforms, TradrisAI does not provide stock tips or buy-sell recommendations. Instead, it acts as an “AI Trading Discipline Coach” – a system that watches how a trader executes, not what they trade.

At the centre of the product is the Discipline Score – a number from 0 to 100 that quantifies how consistently a trader follows their own rules. Each trader defines their own playbook at onboarding: position-size caps, daily loss limits, entry checklist, trading hours, recovery rules after a losing streak. TradrisAI then scores every session against those rules.

A worked example: a trader who set a 1% daily loss limit but breached it on 3 of 5 trading days last week, entered 2 trades outside their defined setup, and skipped their post-session journal twice, would score 42/100 – flagged by the system as an “execution gap.” The score updates daily and tracks alongside P&L, so the trader can see – for the first time – whether their performance is the result of skill or of breaking their own rules.

The Discipline Score is fed by three supporting modules: a Mindset Audit that surfaces emotional triggers through reflective questions, a structured journaling system that captures every trade with intent and reasoning, and real-time nudges that intervene the moment a user is about to break a rule they set for themselves – for example, a prompt that fires before they place a fourth trade on a day they’d capped at three.

According to Sahil, the goal is to move traders away from ad-hoc, emotionally driven trading and toward system-based decision-making. He believes that long-term profitability in trading is less about discovering secret strategies and more about consistently executing a disciplined process.

At a time when regulators like the Securities and Exchange Board of India continue to caution retail investors against misleading trading content online, TradrisAI positions itself as a behaviour-first alternative built around accountability rather than greed-driven shortcuts.

With a growing community of traders already engaging with the platform, TradrisAI aims to establish itself as a trusted companion for aspiring and experienced traders looking to improve consistency, mindset, and long-term trading discipline through technology and AI.