An equity trade executed on the National Stock Exchange today is matched in milliseconds, cleared through a central counterparty, settled electronically, and reflected in a demat account without a single sheet of paper changing hands. A century ago, the same transaction required handwritten ledgers, physical share certificates, manual verification, and days or even weeks to complete. The evolution of India’s stock market is therefore less a story of rising share prices than of successive technological revolutions that transformed how markets themselves operate.

AI Is Changing Everything. But Is It Making Us More Intelligent?

“The important thing is not to stop questioning.” — Albert Einstein

Artificial intelligence is having its iPhone moment.

OpenAI is worth hundreds of billions of dollars. Anthropic has become one of the fastest-growing software companies in history. Every major technology company is racing to build AI products, while governments increasingly view AI as critical national infrastructure. The excitement is understandable. Today’s AI can write code, summarize documents, answer questions, translate languages, generate images, and automate countless repetitive tasks. Those are remarkable engineering achievements. But amid all the excitement, one question is rarely asked.

TickerTruth started from a narrow, specific frustration: backtests on Indian equities that quietly fall apart because a ticker was reused, a symbol was renamed without anyone updating the mapping, or a bonus issue was applied on the wrong date. None of these show up as errors — they show up as wrong numbers that look plausible, which is the worst kind of bug in a trading system.

Why Evolution Built the Perfect Survivor… But Not the Perfect Investor

For decades, investors have searched for an edge in the obvious places.

Better data.

Better models.

Better algorithms.

Better predictions.

The assumption seems logical: if markets are difficult, then better market analysis should lead to better investment decisions.