Backtesting Investment Strategies

Description

Historical data can show how an investment rule would have performed, though a careless test can mislead. These fourteen PDF lessons explain what backtesting is, how to set up an environment, where to find historical data and judge its quality, and how to write a simple strategy.

You test manually with spreadsheets and charts, try automated tools, and read performance metrics, risk and drawdown. Later lessons cover common mistakes, refinement, out-of-sample testing, paper trading and forward testing, and end with a complete workflow. Exercises and tables appear throughout. By the end you can follow a repeatable testing routine and read its results with caution.

Who it is for: aspiring investors who want to test a strategy on historical data before using real money.

What’s included
14 PDF lessons · 79 pages · about 24,500 words
One ZIP download that is yours to keep — read on any device, no subscription or app needed.

Course programme

1. Introduction to Backtesting: What It Is and Why It Matters
2. Setting Up Your First Backtesting Environment
3. Understanding Historical Data Sources and Quality
4. Creating Your First Simple Investment Strategy
5. Manual Backtesting with Spreadsheets and Charts
6. Automated Backtesting Tools for Beginners
7. Key Performance Metrics You Need to Track
8. Risk Management and Drawdown Analysis
9. Common Backtesting Mistakes and How to Avoid Them
10. Strategy Refinement and Optimization Techniques
11. Out-of-Sample Testing for Strategy Validation
12. Paper Trading and Forward Testing
13. Building Confidence in Your Strategy Results
14. Putting It All Together: Your Complete Backtesting Workflow