These strategies are designed to capture large, sustained directional movements. Instead of trying to predict market tops and bottoms, these rules dictate entering an established trend early and riding it until a clear reversal signal appears.
Today, he serves as a teaching algorithmic trading, is the founder of Unfluke (a platform for backtesting strategies), and has created over 500 videos on trading for India’s top brokers . This blend of academic rigor and practical, frontline market experience is a key selling point for his book.
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Before diving into the technical strategies, it is essential to understand the philosophy behind them. Aseem Singhal is a seasoned trader, speaker, and the founder of trading education platforms focused on option trading and algorithmic systems. Coming from a data-driven background, Singhal emphasizes rule-based trading over emotional or speculative trading.
Price makes a "Higher High," but the RSI indicator creates a "Lower High" (Bearish Divergence). Simultaneously, the price must touch or pierce the Upper Bollinger Band . These strategies are designed to capture large, sustained
It was not a trading strategy. It was a single paragraph:
Singhal presents these strategies as historically tested concepts. However, the paper argues that the user must conduct their own backtesting. Market regimes change; a strategy optimized for a bullish, low-volatility regime may fail catastrophically in a bearish, high-volatility environment. The book serves as a recipe book, but the chef (the trader) must taste the ingredients (market data) before serving. This blend of academic rigor and practical, frontline
: Designed to capture short to medium-term price movements, often over several days or weeks. These strategies aim to profit from market "swings" and work well in stocks, currencies, or commodities with moderate volatility.