Backtesting Basics
Test your strategy on historical data before risking real money
4 sections · 3 quiz questions · ~5 min read
Guided course path
Keep backtesting basics inside the live track.
You are reading a reference lesson. The live course path gives you the lesson order, checks, saved progress, and next step. Execution makes more sense after the chart bias, key levels, and timeframe context are clear.
Closest track: Technical Analysis + Price ActionFirst lesson: The top-down framework
What Is Backtesting?
Backtesting means applying your trading strategy to historical price data to see how it would have performed. It's like a flight simulator for traders — you practice without risk to build confidence and refine your rules.
Manual Backtesting
Scroll back on your chart, cover the right side, and step forward candle by candle. Apply your entry rules. Record each trade as if it were live. You need at least 50-100 trades for statistically meaningful results.
Key Metrics to Track
Track: Win Rate (%), Average Win vs Average Loss, Profit Factor (gross profit ÷ gross loss), Maximum Drawdown, and Total Return. A strategy with 45% win rate and 1:2 RR can still be very profitable.
Common Backtesting Mistakes
Curve fitting (over-optimizing to past data), ignoring spreads/commissions, testing too few trades, and hindsight bias (seeing what happened next while deciding entries). Be honest and strict with your rules.
Quick check
Did it stick?
Try to answer each one before you peek at the explanation.
1
How many trades should you have for a statistically meaningful backtest?
2
Curve fitting means your strategy is perfectly optimized for live trading.
3
Match each metric to what it measures:
Win Rate→Percentage of trades that profit
Max Drawdown→Largest peak-to-trough decline
Profit Factor→Gross profit ÷ gross loss