Trade-order Monte Carlo
How does reordering the same trade results affect drawdown?
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Sample JSON
Specification JSON
Sample as of
0700.HK Tencent Holdings | Hang Seng Index | 2025-10-16 – 2026-10-16 | HKD
- Highest item: Item E
- -10.53 %
- Lowest item: Item B
- -21.63 %
- Average
- -14.84 %
- Number of items
- 7 items
Trade-order Monte Carlo
Maximum drawdown (%) (Range)
Benchmark / after-cost return (%)
Benchmark / after-cost return (%) (Bar)
Event detail and data date
Maximum drawdown (%) and Benchmark / after-cost return (%) (Table)
Sample data rows
| Reference price level / scenario | Maximum drawdown (%) | Benchmark / after-cost return (%) | Data date (sample) |
|---|---|---|---|
| Item A | -10.87 | 9.51 | 2026-10-16 |
| Item B | -21.63 | 14.07 | 2026-10-16 |
| Item C | -12.89 | 13.11 | 2026-10-16 |
| Item D | -12.66 | 6.68 | 2026-10-16 |
| Item E | -10.53 | 1.71 | 2026-10-16 |
| Item F | -18.38 | 4.5 | 2026-10-16 |
| Item G | -16.9 | 5.22 | 2026-10-16 |