The Trading for Programmers (T4P) series helps developers understand trading using a data-driven approach.

Instead of theory, this series focuses on using Python to analyze market data, identify patterns, and generate signals.

You’ll learn:

• OHLC data and market basics
• Candlestick patterns
• Indicators like RSI and moving averages
• Generating buy/sell signals with code

🧠 Why This Series?

Built specifically for developers:

• Code-first approach
• Logical explanations
• Practical Python examples

📚 All Posts in This Series

 

🟢 Foundations

• Introduction to Trading for Programmers: Understand the basics of financial markets from a developer’s perspective. This guide introduces key trading concepts and how programmers can approach trading using logic and data.

• An Introduction to OHLC Data in Python: Learn how to work with OHLC (Open, High, Low, Close) market data in Python. This is the foundation for building trading strategies and analyzing price movements programmatically.

🟡 Candlesticks & Patterns

• Getting Started with Candlesticks and Python: Explore how candlestick charts work and how to analyze them using Python. A beginner-friendly guide to understanding price action visually and programmatically.

• Getting Started with Candlestick Patterns and Python: Dive deeper into candlestick patterns and learn how to identify them using Python. Build a strong base for recognizing market signals through code.

• Detecting the Engulfing Pattern Using Pandas: Learn how to detect bullish and bearish engulfing patterns using Pandas. A practical approach to identifying reversal signals in trading data.

• Detecting the Hammer Candlestick Pattern Using Python: Understand the hammer pattern and how to detect it using Python. This guide helps you identify potential trend reversals with code-based logic.

• Design Custom Candlestick Patterns for Signal Generation Using Python: Go beyond standard patterns and learn how to create custom candlestick rules. Ideal for building unique trading strategies tailored to your logic.

🔵 Signals & Strategies

• Generating Buy/Sell Signals with Moving Averages Using Pandas: Learn how to generate trading signals using moving averages in Python. A key step toward building automated trading strategies.
• Building Your First Multi-Signal Trading Strategy with RSI and Moving Averages: Combine RSI and moving averages to build a multi-signal trading strategy. Understand how to create more reliable signals using multiple indicators.