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From IIT Bombay to 84% XIRR: The Rahul Poonia Story
We understand that true analytical edge often comes from looking outside traditional finance. In this episode of CapMint Stories, Rahul Poonia breaks down his analytical approach to the stock market. Growing up moving across cities due to his father’s merchant navy career, Rahul’s academic brilliance led him straight to IIT Bombay. Although his initial career path pointed toward data science and predictive modeling, he quickly realized that the financial markets offered the ultimate test for predicting probabilities. He applied his analytical rigor to fundamental analysis, learning how to decipher valuations, book value, and P/E ratios to build his own setups rather than relying on YouTube gurus. By breaking his capital deployment into smaller, fear-reducing tranches and developing “stories” behind price action to track smart money, Rahul successfully captured massive 900%+ run-ups in small-cap stocks, ultimately generating an impressive 84% XIRR over two years.
Key Takeaways:
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Develop Your Own Conviction: The most profitable traders, like Ashish Kacholia, aren’t handing out their strategies online. Rahul realized early on that blindly following YouTube setups results in high failure rates; you must build and back-test your own theories to develop true conviction.
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Overcoming the Fear of Loss: Initially, Rahul would panic and cut trades prematurely the moment they dipped. To fix this psychology, he began deploying only 30% of his capital on the initial entry. A 10% stop-loss on a fraction of the capital doesn’t hurt, allowing the trade room to breathe before scaling in completely.
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The “Smart Money” Story: Big institutional players don’t buy stocks by blindly hitting the ask price and triggering 20% upper circuits. Instead, they accumulate positions when retail panic sets in, often deliberately driving prices below known support levels to absorb the incoming retail sell orders.
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Small Caps Require Ruthless Exits: While long-term holding strategies work for blue-chip companies, adopting a “buy and forget” mentality in small caps is incredibly dangerous. Rahul points out that hypes fade quickly; sticking to a strict 10% stop-loss saved him from holding onto a high-flying stock that eventually crashed from ₹350 to just ₹2.
“If a strategy works for you, that’s well and good. But if it doesn’t work, you have to find the reason why… This is trading psychology.”
Today, Rahul is taking his well-calculated leap of faith, actively building his capital toward his “freedom number” so he can trade full-time on his own terms. We at CapMint believe his story proves that blending the probability-based thinking of data science with strict emotional discipline is a formidable blueprint for mastering the markets.
Disclaimer: This content is for educational purposes only and does not constitute financial or investment advice. Investments in securities or other financial instruments are subject to market risk, including partial or total loss of capital. Past performance is not indicative of future results. Always consider your financial situation carefully and consult a licensed financial advisor before making investment or trading decisions.
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