Key Takeaway: Momentum trading captures the tendency of recent winners to keep winning over a 3-to-12-month horizon. This guide builds a quantitative cross-sectional momentum strategy in Python, backtests it on US sector ETFs from 2010 to 2024, and compares it…
Key Takeaway: Mean reversion strategies capitalize on temporary price deviations from historical averages by buying oversold assets and selling overbought ones. Statistical tests like the Augmented Dickey-Fuller test confirm mean-reverting behavior. Successful implementation requires combining technical indicators (Bollinger Bands, RSI,…
Key Takeaway: Algo trading uses computer programs to execute trades based on predefined rules — removing emotional bias and improving execution precision. This guide covers how it works, the five core strategy types, and a working Python moving average crossover…
Key Takeaway: Modern quantitative trading is defined by immense capital scale, machine learning, and ultra-low latency execution. In 2025–2026, market leaders reached unprecedented records: Jane Street generated a historic $39.6 billion in 2025 net trading revenue and $16.1 billion in…
