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After COVID, retail participation in the Indian stock market surged — Demat accounts increased by over 440% from 2019 to 2025. While this growth reflects strong interest in wealth-building, most new traders lack access to the tools professionals rely on. Institutions use advanced algorithms that execute trades in milliseconds, while retail traders are stuck with manual clicks, gut feelings, and emotions, often leading to mistakes and losses.
As Jesse Livermore warned, “the investor’s worst enemy is himself.” Emotional decisions and impulsive trades often undermine potential gains. AlTrade solves this problem. Traders can now create their own strategies in plain English and execute them automatically using AlTrade’s algorithmic engine. For example, a simple rule could be: “Buy 50 shares of Mahindra and Mahindra Ltd if the price drops 3% today, and sell if profit crosses 7%.” For more advanced users, multi-condition strategies are also possible, such as buying a stock only if it crosses above its 50-day moving average, the RSI indicates it’s not overbought, and volatility is within a defined range, with sell conditions based on profit targets, stop-loss, or indicator signals.
The impact is significant: traders gain confidence and make disciplined decisions, brokerages see increased activity, and regulators benefit from more transparent, standardized algorithmic use. By leveling the playing field, AlTrade empowers retail traders with the same tools professionals use, helping them trade smarter and avoid being their own worst enemy.
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