Module 17 · Lesson 3 of 3
Reading Results Without Fooling Yourself
Interpret a complete set of backtest results, distinguishing which metrics indicate genuine edge from which indicate noise.
Goal
Develop the skill of reading a full backtest results report and making an informed go/no-go decision for forward testing.
Mistake This Prevents
Seeing 55% win rate and 1.8 profit factor, deciding the strategy is "good enough," and deploying it live without noticing the maximum drawdown is 35%, which would likely cause you to abandon the strategy during the drawdown.
Core Concepts
The Seven Metrics and What Each Tells You
1. Total Trades
- < 30: Results are statistically unreliable (too few)
- 30–100: Reasonable but low confidence
- 100+: High statistical confidence Guideline: Never deploy based on fewer than 30 trades.
2. Win Rate
- Context-dependent: A 40% win rate with 3:1 average winner is profitable; a 60% win rate with 0.5:1 average winner is not.
- More useful when combined with average winner R.
3. Average Winner (R)
- R = ratio to stop distance. Average winner of 2.0R means winners average 2× the stop distance.
- Target: Average winner R × win rate > Average loser R × loss rate
4. Profit Factor
- The single most useful summary metric
- Acceptable: 1.2–1.5
- Good: 1.5–2.0
- Excellent: 2.0+
- Below 1.2: Strategy barely profitable, and transaction costs and slippage may erase it
5. Maximum Drawdown
- The hardest metric to handle emotionally in live trading
- Ask: "Could I hold through this drawdown in real life without abandoning the strategy?"
- If the answer is no, the strategy is not suitable for you regardless of long-term performance
6. Maximum Consecutive Losses
- Determines your Level 2 and Level 3 risk framework triggers
- If the backtest shows 7 max consecutive losses, your 5-loss Level 3 trigger will fire frequently. Is that sustainable?
7. Sharpe Ratio
- Return relative to volatility. > 1.0 = good risk-adjusted return; > 1.5 = excellent
- Less commonly used for simple crypto strategies but valuable for comparison
The Go/No-Go Decision Proceed to forward testing if ALL of the following:
- Trades ≥ 30
- Profit factor ≥ 1.3
- Max drawdown ≤ 25%
- Positive performance in both bull and bear market phases
- Walk-forward efficiency ≥ 0.5
Checklist
- All seven metrics calculated and recorded
- Go/no-go decision documented with specific metric values
- Maximum drawdown assessed for personal psychological tolerance
Common Mistakes
- Making go/no-go based on win rate alone
- Not assessing max drawdown against your own psychological tolerance
- Not checking performance across market phases
Fedha Tool Tie-in
FedhaAcademy's results report displays all seven metrics with colour-coded thresholds (green/yellow/red) and an automatic Go/No-Go recommendation with the specific failing criteria highlighted.
Key takeaways
What to remember
- Profit factor is the single most useful summary metric, because it combines win rate and average R:R.
- Maximum drawdown must be assessed for personal psychological tolerance, not just the absolute number.
- The Go/No-Go decision requires all five criteria, not just one or two.
- Below 30 trades: the results are statistically unreliable regardless of how good they look.
Quiz
Question 1 of 15Backtest shows 65% win rate but profit factor of 0.95. The strategy is:
Keep your place
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