📈 Dual Moving Average Strategy Using Python
Simple Yet Powerful Way to Trade Trends If you're exploring algorithmic trading or want to build your first trading system, the Dual Moving Average (DMA) strategy is an excellent place to start. It's simple, logical, and easy to implement — even with basic Python skills. In this blog, we’ll explain what the strategy is and how you can build and backtest it in Python using historical stock data. 🧠 What Is a Dual Moving Average Strategy? A Dual Moving Average strategy uses two different moving averages: A short-term moving average (fast MA) A long-term moving average (slow MA) ✅ Entry Signal: Buy when the short-term MA crosses above the long-term MA (bullish crossover). ❌ Exit Signal: Sell when the short-term MA crosses below the long-term MA (bearish crossover). 🛠️ What You Need You’ll need the following Python libraries installed: pip install yfinance pandas matplotlib 🧪 Step-by-Step: Coding DMA Strategy in Python import yfinance as y...