Where Precision
Meets Alpha

Single and multi-asset backtest engine, Monte Carlo simulations and synthetic data. Everything quantitative funds need to consistently generate alpha.

strategy.py
Ready for backtest

Senior Quant AI

Waiting for your instructions...

# Describe your strategy to the APEX Agent...
Décrivez votre stratégie de trading...
Strategy Lab AI

From Ideas To
Institutional Code

No longer waste hours coding your indicators. Describe your logic in natural language, and our quantitative finance AI writes a robust, error-free Python script.

Zero Error

APEX Agent automatically fixes bugs and lookahead bias.

Ready for Backtest

The code natively integrates with our vectorized backtest engine.

Settings

NQ=F
02/10/2000
20/01/2026

Initial Capital ($)

10000

Fees & Slippage

Total Return

628.0%

Sharpe Ratio

1.84

Max Drawdown

-14.1%

Win Rate

54.7%

Volatility

25.7%

Equity curve

$80k$60k$40k$20k$0k
2001-10-112008-11-182016-04-112026-01-16
⚡ Backtest Lab

Performance
And Quality

The most qualitative vectorized backtest engine on the market. Execute complex strategies over decades of data and recover a ton of data.

  • Integrated dynamic fees & slippage
  • Institutional level metrics
  • Exporting detailed reports

Synthetic Backtest

Ticker

NQ=F

Block size 10

Scenarios 50

EQUITY_CURVES_SCENARIOS

$200k$100k$10k
🧪 Monte Carlo & Synthetic Backtest

Stress-Test your
Robustness

Historical data is not enough. Generate thousands of probabilistic trajectories via our synthetic generator to test your models on new market regimes and avoid overfitting.

Challenge Rules

Asset

BTC-USD

Simulations

1000

PHASE 01 RULES

Profit Target +6%

Max Drawdown -4%

Daily Max DD (Pause) -5%

🏆

46.0%

Success Rate

⚠️

40.3%

DD Violation

⏱️

3.8 Days

Avg Duration

CHALLENGE OUTCOME

Passed
Violation

VALIDATION CLOUDTARGET: +6%

🏆 Prop Firm Simulator

Pass your
Propfirm Challenges

Mathematically verify that your strategies respect the strict rules of Prop Firms (Daily Drawdown, Max Drawdown) before committing a single dollar to a real challenge.

Settings

Select strategies

Momentum Strategy
ML Strategy
Z-score Strategy

equity curves

MomentumMLZ-score

🏆 Results

Strategy
Return
Max DD
Momentum
+365%
-78%
ML
+756% 🏆
-49%
⚖️ Strategy Comparator

Find the
Best Edge

Compete between your different iterations of algorithms. Visually overlay equity curves and analyze key metrics side-by-side to identify mathematically the most optimal strategy.

Settings

Allocation Mode

Algo
Buy & Hold
Manual

Assets Universe

AAPL
MSTR
NVDA
BTC-USD
AMZN
+

Start Date

01/01/2010

End Date

01/01/2024

Initial Capital ($)

10000

Fees & Slippage

Prêt pour l'analyse matricielle...

🌐 Multi-Asset Backtest

Backtest on
Every Asset

No longer limit yourself to just one ticker. Run your algorithms on multiple asset classes simultaneously. Visualize dynamic allocation and smooth your overall risk-return profile.

Ready to find your edge ?

Start for Free