Simulation Setup

Monte Carlo v2

Upload your backtest trade history and configure simulation parameters to validate strategy robustness.

Trade Data Source

Upload CSV with columns: date, direction, return, pnl, entry, exit, duration

Drop trades CSV here

or click to browse · CSV up to 5MB

Demo data pre-loaded (247 trades, 2024-01-03 to 2026-06-10). Upload your own CSV to replace.

Trade Preview

247 trades · showing 10 of 247

#	Date	Symbol	Dir	Entry	Exit	Return %	P&L ($)	Days
001	2024-01-04	GLD	Long	$443.28	$454.51	+2.53%	+$2,533	14d
002	2024-01-08	GLD	Short	$363.43	$360.95	+0.68%	+$683	7d
003	2024-01-09	META	Long	$464.43	$465.16	+0.16%	+$156	2d
004	2024-01-12	NVDA	Long	$329.24	$330.82	+0.48%	+$479	6d
005	2024-01-15	AMZN	Long	$422.26	$438.32	+3.81%	+$3,805	9d
006	2024-01-16	AAPL	Long	$473.71	$476.14	+0.51%	+$513	3d
007	2024-01-18	QQQ	Long	$394.91	$404.13	+2.34%	+$2,336	1d
008	2024-01-22	QQQ	Long	$363.72	$356.39	-2.02%	$2,016	10d
009	2024-01-23	QQQ	Long	$109.08	$108.87	-0.19%	$192	10d
010	2024-01-24	META	Long	$245.93	$248.27	+0.95%	+$952	1d

Page 1 of 25 · 247 trades

Data Statistics

2024-01-04 → 2025-09-01

Total Trades

247

151W / 96L

Win Rate

61.1%

Above threshold

Avg Trade Return

+0.818%

Per-trade average

Profit Factor

2.72

Strong edge

Simulation Parameters

Configure how Monte Carlo paths are generated

Number of Simulations5,000

More simulations = better statistical confidence. 5,000+ recommended.

50020,000

Simulation Method

Reshuffle

Randomly reorder trade sequence — preserves return distribution

Bootstrap

Sample with replacement — allows repeated trades

Parametric

Draw from fitted normal distribution — assumes normality

Confidence Interval

Initial Capital ($)

Ann. Factor

Random Seed

Set for reproducible results. Leave blank for random seed.

247 trades loaded — ready to simulate

Method

Reshuffle

Conf. Int.

95%

Paths

5,000