Investors often spend lots of time and energy trying to predict short-term market movements. They look for corrections, try to find the perfect entry point, or delay investing until valuations appear more comfortable. In practice, this strategy rarely works consistently. Markets movements, which are basically the sum total of the sentiments of millions of human beings, respond to thousands of variables such as interest rates, economic growth, corporate earnings, global events, liquidity.
The principles that guide an investor are often shaped long before the first investment is made. For Ankit Patel, Co-Founder & Partner at Arunasset Investment Services, those principles were forged through an unconventional journey that began with door-to-door laptop sales before evolving into a career in personal finance and investment management. Those early experiences continue to influence his investment philosophy rooted in patience, measured decision-making and relationships that outlast market cycles.
Before we rush to join the “bash the CJP protesters” bandwagon, we must acknowledge an uncomfortable truth: the anger behind these protests is not entirely manufactured. India has serious, unresolved problems, and too often we treat each failure as an isolated incident instead of recognising the systemic breakdown beneath it.
From around $1,620 an ounce in late 2022 to nearly $5,595 at its peak in 2026, the yellow metal has staged one of its strongest rallies in recent history. In India, the gains have been even more dramatic. A weakening rupee amplified the global surge, pushing domestic gold prices from roughly Rs 50,000-52,000 per 10 grams to as high as Rs 1.72 lakh earlier this year.
Over the last two years, investors have treated AI as a straight-line story: more models, more tokens, more data centers, more chips, more revenues and eventually massive productivity gains. The problem is that the spending cycle has moved much faster than the cash-flow cycle. And now with full automation remaining a mirage, a correction is likely to happen. It can travel from LLM companies to hyperscalers, then to data-center builders, chip companies and eventually the fab ecosystem.