Learn when trend-following vs mean-reversion works in Indian markets, with rules, filters, examples (Nifty/Bank Nifty), ...
Event-Driven Algorithms: Trading Earnings, Dividends, and News (India Focus)
Event-driven algorithms use time-stamped corporate events—earnings, dividends, and material news—to predict short-term p...
Ethics in Quant Finance: Avoiding Market Manipulation
Ethical quant finance means designing, testing, and executing models that seek best execution without deceiving markets ...
Pair Trading in Indian Markets: Opportunities & Risks
Pair trading is a market-neutral strategy that goes long one security and shorts another to profit from their relative m...
Risk Management in Algorithmic Portfolios: Beyond Stop Losses
Stop losses protect single trades, not portfolios. Robust algo risk management layers position sizing, exposure caps, vo...
Machine Learning in Algo Trading: From Predictive Models to Reinforcement Learning (India)
Machine learning (ML) helps Indian traders forecast returns/volatility, select positions, and execute smarter—while rein...
Momentum Factor Investing: Alpha Beyond the Index
Momentum factor investing ranks securities by recent performance and systematically tilts toward “winners” while avoidin...
Options-Based Algo Strategies in India: Covered Calls, Straddles & Iron Condors
Covered calls generate income from existing holdings (mildly bullish, short volatility); straddles bet on big moves (lon...