Quantitative Trading Strategies: A Guide for Beginners

Quantitative trading strategies rely on mathematical models and algorithms to make investment decisions. Here are some common approaches:

1. Mean Reversion Strategies

These strategies assume prices will eventually return to their average.

Mean_Reversion
*Example:* Trading based on Bollinger Bands or moving averages.

2. Momentum Trading Strategies

Focus on trends, buying assets that have shown strong upward movement.

Momentum_Trading
*Example:* Using Moving Average Convergence Divergence (MACD) indicators.

3. Arbitrage Strategies

Exploit price discrepancies across markets.

Arbitrage
*Example:* Statistical arbitrage in equities.

4. Machine Learning-Driven Strategies

Leverage predictive models to identify patterns.

Machine_Learning
*Example:* Predicting stock prices using neural networks.

For deeper insights, check our Quantitative Trading Fundamentals guide.
Want to explore strategies in Chinese? Visit /zh/guides/quantitative_trading_strategies.