Question 1

How Grid Search Works

Accepted Answer

1. **Select parameters** to optimize (indicator periods, thresholds, SL/TP values) 2. **Define ranges** for each parameter: min, max, and step 3. **System generates combinations** — all possible value sets (Cartesian product) 4. **Each combination runs a full backtest** 5. **Results are sorted** by your chosen objective metric

Question 2

Example

Accepted Answer

Optimize RSI period and SL percentage: - RSI period: min=10, max=20, step=2 → values: 10, 12, 14, 16, 18, 20 (6 values) - SL: min=1%, max=5%, step=1% → values: 1, 2, 3, 4, 5 (5 values) - Total combinations: 6 × 5 = 30 backtests

Question 3

Availability by Plan

Accepted Answer

| Plan | Parameters | Max Combinations | |------|-----------|-----------------| | Free | — | Not available | | Pro | 1 parameter | Up to 10,000 | | Premium | Unlimited | Up to 10,000 | | Private | Unlimited | Up to 10,000 |

Question 4

Optimization Objectives

Accepted Answer

Sort results by different metrics to find the best combination: | Objective | Best For | |-----------|----------| | **Net P&L** | Maximize absolute profit | | **Win Rate** | Maximize percentage of winning trades | | **Sharpe Ratio** | Maximize risk-adjusted returns | | **Profit Factor** | Maximize profit/loss ratio |

Question 5

Reading Optimization Results

Accepted Answer

The Optimization tab shows a table of all tested combinations: - Each row = one parameter combination - Columns show the parameter values and resulting metrics - Sorted by your chosen objective (best first) - Click any row to view the full backtest results for that combination

Question 6

Avoid Overfitting

Accepted Answer

- **Don't optimize everything** — optimize 1-2 key parameters, not all - **Use longer test periods** — more data = more robust results - **Watch for outliers** — if the best result is far better than the rest, it may be an anomaly - **Out-of-sample testing** — run the optimized parameters on a different time period

Question 7

Parameter Selection

Accepted Answer

- Start with the most impactful parameters (SL/TP, main indicator period) - Use reasonable ranges (don't test RSI period 2 to 500) - Use appropriate step sizes (too fine = too many combos, too coarse = miss optimal) > **Tip:** If all combinations in a narrow range perform similarly well, the strategy is robust. If only one specific set works, the strategy is likely overfitted.

Question 8

Walk-Forward Optimization

Accepted Answer

Walk-Forward testing is planned for a future release. It will: 1. Optimize on a training period 2. Test on an out-of-sample period 3. Roll forward and repeat 4. Aggregate results to assess robustness

Question 9

FAQ

Accepted Answer

**Q: How long does optimization take?** A: Each combination runs a full backtest (5-30 sec). 100 combinations ≈ 8-50 minutes. The system processes them in parallel where possible. **Q: Can I cancel an optimization?** A: Yes. Cancel from the backtest page. Partial results up to the cancellation point are saved. **Q: Is the best optimization result always the best strategy?** A: Not necessarily. The "best" in-sample result may be overfitted. Compare top results — if they cluster in a similar param

Question 10